Unveiling genetic diversity and population structure in lentil (Lens culinaris) germplasm through SCoT markers

Unveiling genetic diversity and population structure in lentil (Lens culinaris) germplasm through SCoT markers | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Unveiling genetic diversity and population structure in lentil ( Lens culinaris ) germplasm through SCoT markers Sarmad Ali Qureshi, Muhammad Azhar Nadeem, Meliha Feryal Sarıkaya, and 8 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7075563/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 29 Jul, 2025 Read the published version in Molecular Biology Reports → Version 1 posted 9 You are reading this latest preprint version Abstract Background Lentil ( Lens culinaris ) is widely cultivated for its edible seeds and plays an important role in food security and sustainable agriculture. Understanding genetic diversity and population structure of plant material is essential for their genetic resources in breeding programs and for guiding germplasm conservation efforts. Methods and results This study evaluated the genetic variation and population structure of 96 lentil accessions using SCoT markers. A total of 440 bands were generated by 15 polymorphic primers, averaging 29.33 bands per primer. The overall polymorphism percentage was 93.38%. The diversity parameters including polymorphism information content (0.25–0.86), effective number of alleles (1.28–1.61), gene diversity (0.18–0.36), and Shannon’s information index (0.29–0.54) confirmed significant genetic variability in germplasm. The results from molecular variance analysis showed that 87% of the genetic variation occurs within populations. The STRUCTURE analysis partitioned the lentil accessions into 4 populations (A, B, C, and D). Principal coordinate analysis and neighbor-joining also distinguished the genotypes based on their collection sites. Conclusion SCoT marker analysis showed significant genetic diversity among the lentil germplasm studied. The accessions Pakistan2 and Iran3 exhibited greater genetic distance which suggests their suitability as parent lines for use in future lentil improvement programs. Lentil population structure genetic diversity scot markers plant breeding germplasm characterization Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Introduction Food security is increasingly at risk due to climate change, as it disrupts crops production with extreme biological and environmental stresses. Zhao et al. [ 1 ] reported that climate change-induced warming leads to a 3.1%-7.4% drop in crop yields with each 1°C upsurge in global temperature. In addition to climate change, the swift growth of global population has emerged as a critical issue placing immense pressure on breeders to meet rising food demands. The world population is expected to grow to 9.7 billion in 2050, increasing the demand for sustainable food production under a more unpredictable climate [ 2 ]. Plant breeders face the vital task of developing crops that can withstand climate challenges while maintaining the high yields and nutritional values. To achieve these goals, it is essential to access genetic diversity through conservation and characterization of germplasm. The conservation of lentil germplasm plays a vital role in preserving genetic resources required for future breeding [ 3 ]. Approximately 58,405 lentil accessions are stored ex situ in different gene banks, but a significant percentage are duplicate records [ 4 , 5 ]. The ICARDA gene bank contains 14,577 Lens accessions, including landraces, wild relatives and breeding lines ( https://www.genesys-pgr.org ). Characterizing genetic diversity among conserved germplasms aids effective documentation and well-informed breeding material selection [ 6 , 7 ]. The evaluation of genetic diversity can be achieved by morphological observations, biochemical profiling and molecular marker systems. Molecular marker systems stand out as valuable tools for rapid and reliable genetic determination of genetic differences [ 8 ]. Such tools are essential for both the preservation of genetic resources and their application in breeding programs. Several molecular markers systems, including simple sequence repeats (SSR), inter-simple sequence repeats (ISSR), amplified fragment length polymorphism (AFLP), inter-primer binding site (iPBS), and diversity arrays technology (DArT) have been utilized in marker-assisted breeding across diverse plant species [ 9 – 13 ]. Applications of these markers include analyzing genetic populations, QTL mapping, association analysis for yield attributes, and screening for candidate gene. Collard and Mackill [ 14 ] developed the Start codon targeted (SCoT) marker system, which is based on conserved sequences adjacent to the start codon in plant DNA. These markers are amplified via PCR using single primers, operating on the same principle as RAPD and ISSR. Recent studies [ 15 , 16 ] have showed that these markers are more reliable than RAPD and ISSR markers. This marker system has proven effective for assessing genetic diversity and analyzing population structure across many plant species [ 17 – 20 ]. Lentil ( L. culinaris ) is a significant legume crop worldwide since it provides food and nutritional security due to its high dietary fiber, protein, and many health benefits [ 21 ]. As one of the earliest domesticated legumes, originating in the Fertile Crescent [ 22 ], its cultivation expanded later to Central Asia and the Mediterranean Basin [ 23 , 24 ]. Global lentil production increased more than twice between 2001 and 2023, from 3.15 to 7.07 million metric tons [ 25 ]. To sustain this progress, there is a need to preserve and utilize lentil genetic diversity to supply ongoing adaptability and productivity. Various markers such as SSR, ISSR, AFLP, and iPBS have been used in lentil genetic diversity studies [ 26 – 29 ]. However, the start codon targeted (SCoT) remains less explored in lentils with one reported study [ 30 ]. This emphasizes a knowledge gap that must be addressed to advance lentil genomics studies. In this study, we used 96 lentil ( L. culinaris ) accessions collected from different countries. The objective was to evaluate genetic diversity and population structure using Start codon targeted (SCoT) markers. Material and Methods Plant material and DNA isolation A total of 96 lentil accession collected from different origins were used in this research. The germplasm details are summarized in Table 1 . The plants were grown in the greenhouse of Sivas University of Science and Technology for the purpose of DNA extraction. Young leaves from all genotypes were collected to perform DNA isolation as recommended by Doyle and Doyle [ 31 ] and Diversity Arrays Technology protocol (available at https://www.diversityarrays.com/orderinstructions/plant-dnaextraction-protocol-for-dart/ ). DNA quantity and quality was assessed using a Nanodrop 2000c spectrophotometer (Thermo Scientific, USA). Additionally, DNA quality was verified by running samples on 0.8% agarose gel. DNA samples were standardized to a final concentration of 5 ng/µL for PCR analysis. Table 1 Overview of collection sites and geographical sources of lentil germplasm Serial No Genotype name Acc No Botanical name Origin Province District Town Coll Location G1 Pakistan1 005524 L. culinaris Pakistan Punjab Narowal Narowal 06 Km from Narowal to Murikay G2 Pakistan2 005525 L. culinaris Pakistan Punjab Sialkot Morchapur 12 Km from Sialkot-Kigri Road G3 Pakistan3 005526 L. culinaris Pakistan Punjab Muzaffargarh Chak Mithan 08 Km from M-garh to Karachi G4 Pakistan4 005527 L. culinaris Pakistan Punjab Sialkot Qila Soba Singh 13 Km from Pasrur G5 Pakistan5 005529 L. culinaris Pakistan Punjab Kasur Pattuki Vilage market G6 Pakistan6 005530 L. culinaris Pakistan Punjab Muzaffargarh Nai Wala 06 Km from Chowk Munda G7 Pakistan7 005531 L. culinaris Pakistan Punjab Muzaffargarh Chowk No.611-TDA 30 Km from Chowk Munda G8 Pakistan8 005535 L. culinaris Pakistan Punjab Jhang Kalianwala Chak 28 Km after Jhang to Faisalabad G9 Pakistan9 005536 L. culinaris Pakistan Punjab Gujranwala Kamoki Lahore - Pindi Road G10 Pakistan10 005537 L. culinaris Pakistan Punjab Gujrat Gujrat Wazirabad– Pindi Road G11 Pakistan11 005539 L. culinaris Pakistan Sindh Thatta Gullam Ullah 15 Km from Sangroo to Thatta G12 Pakistan12 005541 L. culinaris Pakistan Sindh Thatta Sujawal 28 Km from Thatta to Badin G13 Pakistan13 005542 L. culinaris Pakistan Sindh Thatta Haji Qasim 04 Km from Sujawal-H-abad G14 Pakistan14 005543 L. culinaris Pakistan Sindh Thatta Haji Qasim 04 Km from Sujawal-H-abad G15 Pakistan15 005544 L. culinaris Pakistan Sindh Badin Panjwi Chaka 34 Km before Badin G16 Pakistan16 005546 L. culinaris Pakistan Sindh Badin Kot Pir Misri Shah 03 Km from Tando Bago to H-abad G17 Pakistan17 005547 L. culinaris Pakistan Sindh Badin Kot Pir Misri Shah 03 Km from Tando Bago to H-abad G18 Pakistan18 005548 L. culinaris Pakistan Sindh Badin Talhar Tando Bago to H-abad road G19 Pakistan19 005549 L. culinaris Pakistan Sindh Badin Aman Khan Jagshi 03 Km before Matli G20 Pakistan20 005550 L. culinaris Pakistan Sindh Hyderabad Hyderabad Grain Market G21 Pakistan21 005551 L. culinaris Pakistan Sindh Hyderabad Hyderabad Grain Market G22 Pakistan22 005552 L. culinaris Pakistan Sindh Hyderabad Hyderabad Grain Market G23 Pakistan23 005553 L. culinaris Pakistan Sindh Hyderabad Hyderabad Grain Market G24 Pakistan24 005555 L. culinaris Pakistan Sindh Hyderabad Hyderabad Grain Market G25 Pakistan25 005556 L. culinaris Pakistan Sindh Hyderabad Tando Allahyar 38 Km from Hy-abad to Mirpur Khas G26 Pakistan26 005557 L. culinaris Pakistan Sindh Mirpur Khas Mirpur Khas Market G27 Pakistan27 005558 L. culinaris Pakistan Sindh Mirpur Khas Mirpur Khas Market G28 Pakistan28 005562 L. culinaris Pakistan Sindh Sanghar Sanghar Market G29 Pakistan29 005565 L. culinaris Pakistan Sindh Hyderabad M. Ali Sangrsi 05 Km off to Hy-abad-Mirpur Khas G30 Pakistan30 005566 L. culinaris Pakistan Sindh Hyderabad Hala Market G31 Pakistan31 005567 L. culinaris Pakistan Sindh Nawabshah Nawabshah Market G32 Pakistan32 005568 L. culinaris Pakistan Sindh Nawabshah Nawabshah Market G33 Pakistan33 005572 L. culinaris Pakistan Sindh Sukkur Jatoi Khalkeno 25 Km from Sukkar G34 Pakistan34 005574 L. culinaris Pakistan Sindh Ghotki Mirpur Mathilo Market G35 Pakistan35 005575 L. culinaris Pakistan Sindh Ghotki Mirpur Mathilo Market G36 Pakistan36 005576 L. culinaris Pakistan Sindh Ghotki Ubauro Market G37 Pakistan37 005577 L. culinaris Pakistan Punjab R.Y. Khan R.Y. Khan Market G38 Pakistan38 005578 L. culinaris Pakistan Punjab R.Y. Khan Inayat Khan Basti Mauza Musa Kanjoo G39 Iran1 005907 L. culinaris Iran - - - - G40 Iran2 005910 L. culinaris Iran - - - - G41 Iran3 005912 L. culinaris Iran - - - - G42 Iran4 005914 L. culinaris Iran - - - - G43 Iran5 005925 L. culinaris Iran - - - - G44 Iran6 005927 L. culinaris Iran - - - - G45 Iran7 005928 L. culinaris Iran - - - - G46 Iran8 005930 L. culinaris Iran - - - - G47 Iran9 005943 L. culinaris Iran - - - - G48 Iran10 005964 L. culinaris Iran - - - - G49 Jordan1 005966 L. culinaris Iran - - - - G50 Lebanon 005968 L. culinaris Lebanon - - - - G51 Turkey 005970 L. culinaris Turkey - - - - G52 Egypt 005971 L. culinaris Egypet - - - - G53 Brazil 005977 L. culinaris Brazil - - - - G54 India1 005984 L. culinaris India - - - - G55 India2 005988 L. culinaris India - - - - G56 India3 005989 L. culinaris India G57 India4 005999 L. culinaris India Utter Pradesh G58 India5 006006 L. culinaris India - - - - G59 India6 006008 L. culinaris India - - - - G60 India7 006010 L. culinaris India - - - - G61 India8 006011 L. culinaris India - - - - G62 India9 006012 L. culinaris India - - - - G63 India10 006013 L. culinaris India - - - - G64 Jordan2 006020 L. culinaris Jordan - - - - G65 Cyprus 006022 L. culinaris Cyprus - - - - G66 Pakitsan39 005504 L. culinaris Pakistan G67 Pakitsan40 005508 L. culinaris Pakistan Punjab Muzaffargarh Muzaffargarh Market G68 Pakitsan41 005520 L. culinaris Pakistan Punjab Jhang Jhang Market G69 Pakitsan42 005538 L. culinaris Pakistan Sindh Thatta Gharoo town 68 Km from Karachi to Thatta G70 Pakitsan43 005539 L. culinaris Pakistan Sindh Thatta Gullam Ullah 15 Km from Sangroo to Thatta G71 Pakitsan44 005548 L. culinaris Pakistan Sindh Badin Talhar Tando Bago to H-abad road G72 Pakitsan45 005565 L. culinaris Pakistan Sindh Hyderabad M. Ali Sangrsi 05 Km off to Hy-abad-Mirpur Khas G73 Pakitsan46 005551 L. culinaris Pakistan Sindh Hyderabad Hyderabad Grain Market G74 Pakitsan47 005576 L. culinaris Pakistan Sindh Ghotki Ubauro Market G75 Pakitsan48 005577 L. culinaris Pakistan Punjab R.Y. Khan R.Y. Khan Market G76 Pakitsan49 005579 L. culinaris Pakistan Punjab Bahawalpur Khushin Mohd. 05 Km from Zahir Pir G77 Pakitsan50 005580 L. culinaris Pakistan Punjab Muzaffargarh Sher Sultan 58 Km before Muzaffargarh G78 Pakitsan51 005582 L. culinaris Pakistan Punjab Multan Multan Mandi G79 Pakitsan52 005583 L. culinaris Pakistan Punjab Muzaffargarh Khoh Ukanwala 13 Km from M-garh G80 Pakitsan53 005589 L. culinaris Pakistan Punjab Muzaffargarh Rangpur Muzaffargarh-Jhang road G81 Pakitsan54 005816 L. culinaris - G82 Pakitsan55 005869 L. culinaris - G83 Pakitsan56 005547 L. culinaris Pakistan Sindh Badin Kot Pir Misri Shah 03 Km from Tando Bago to H-abad G84 Pakitsan57 005488 L. culinaris Pakistan Punjab Okara Dipal Pur Market G85 Pakitsan58 005573 L. culinaris Pakistan Sindh Ghotki Rustam Khan 10 km before Ghotki G86 Pakitsan59 005514 L. culinaris Pakistan Punjab Muzaffargarh Khanpur Village market G87 Pakitsan60 005549 L. culinaris Pakistan Sindh Badin Aman Khan Jagshi 03 Km before Matli G88 Pakitsan61 005568 L. culinaris Pakistan Sindh Nawabshah Nawabshah Market G89 Pakitsan62 005605 L. culinaris Pakistan NA Gilgit Damas 30 Km from Gupus to Gilgit road G90 Pakitsan63 005533 L. culinaris Pakistan Punjab Jhang Budh Rajbina 05 Km off Shorkot on Pattan G91 Pakitsan64 005593 L. culinaris Pakistan Sindh Nawabshah Dehphulil 07 Km W to Doulatpur G92 Pakitsan65 005511 L. culinaris Pakistan Punjab Muzaffargarh Ali Wali 05 Km from Shah Jamal G93 Seyran - G94 Cagil - G95 Tigris - G96 Koc21 - PCR Amplification In the early stage of investigation, 8 DNA samples were chosen to identify polymorphic markers suitable for lentil germplasm. The selected samples were screened with 30 SCoT markers, leading to selection of 15 highly polymorphic primers (Table 2 ). PCR was conducted in 10 µL reactions with the following components: 25–30 ng DNA, 1 µL 10× PCR buffer (with KCl, without MgCl₂), 1.5 µL (0.5 µM each) SCoT primer, 1 µL (0.2 mM) dNTPs, 0.15 µL DreamTaq DNA polymerase (Thermo Scientific), 1 µL (25 mM) MgCl₂, and 2.5 µL DNA (5 ng/µL). The volume was adjusted to 10 µL by adding 2.85 µL distilled water. The PCR cycling protocol consisted of an initial denaturation at 94°C for 5 min; 35 cycles of 94°C for 1 min (denaturation), 50°C for 1 min (annealing), and 72°C for 2 min (extension); followed by a final extension at 72°C for 8 min. PCR amplicons were separated on 2% agarose gels in 1× TBE at 110V for 150 minutes. The separated products were stained with ethidium bromide and imaged using a Bio-Rad Gel Doc XR + imaging system. The gel images of PCR products amplified with SCoT 26 are shown in Fig. 1. Statistical Analysis Well-resolved and unambiguous bands were used for scoring process. A binary scoring system was applied, where the presence of a band was marked as 1 and its absence as 0. Genetic diversity was calculated using parameters like Shannon's Information Index (I), gene diversity (h), number of effective alleles (Ne), and Nei's genetic distance (GD) with the help of PopGen version 1.32 [32]. Polymorphism information content (PIC) was calculated by employing the formula PIC = 1 - ∑(pi)², wherein pi is denoted as the i-th allele's frequency in a given population. Principal coordinates analysis (PCoA) and analysis of molecular variance (AMOVA) were carried out using the GeneALEx software version 6.5 [33]. To study the genetic relationships among 96 lentil genotypes, a neighbor-joining analysis was performed using R statistical software. Additionally, STRUCTURE software (version 2.3.4, Stanford, CA, USA) was used to assess the population structure of the genotypes based on the Bayesian clustering model, as described by Evanno et al. [34]. The analysis was carried out with a burn-in period of 50,000 and 50,000 MCMC (Markov chain Monte Carlo) iterations. Ten independent runs were conducted for each proposed number of populations to assess the genetic structure. The optimal number of subpopulations (K) was determined using Structure Selector (https://lmme.ac.cn/StructureSelector/) which analyzes STRUCTURE output based on the ΔK method. Results A set of 15 SCoT markers was used to evaluate genetic diversity and molecular characterization of lentil germplasm. From 15 primers, 440 bands were produced, of which 413 were polymorphic (Table 3). SCoT 25 produced the highest band count (39) while SCoT 12 yielded the lowest (23). The mean number of bands per primer was 29.33, with 27.53 polymorphic bands per primer on average. Four primers exhibited 100% polymorphism while the mean polymorphism for all primers was 93.8% (Table 3). The observed PIC value spanned from 0.25 to 0.86, with a mean of 0.52 across all primers. SCoT 25 showed the highest effective number of alleles (Ne = 1.61) while SCoT 19 had the lowest (1.28). The mean of Ne across all primers was 1.43. The highest gene diversity (h = 0.36) in SCoT 25 and the lowest (0.18) in SCoT 19, with an average value of 0.26. Shannon’s index (I) ranged from 0.29 (SCoT 19) to 0.54 (SCoT 25), with an average of 0.41. The mean genetic distance across all 96 lentil accessions was 0.31. The most genetically distant pair was G2 (Pakistan2) and G41 (Iran3), with a distance of 0.55, whereas the closest genetic relationship (0.14) was found between G88 (Pakistan61) and G89 (Pakistan62). Diversity indices were determined for populations to provide clear understanding of genetic diversity (Table 4). Among all populations, Pakistan exhibited the highest genetic diversity (Na = 1.88, Ne = 1.52, I = 0.46, He = 0.31, uHe = 0.31, and %P = 88.86%) while Jordan showed the lowest (Na = 1.02, Ne = 1.19, I = 0.16, He = 0.11, uHe = 0.15, and %P = 26.82%). Table 3 Genetic variation statistics of analyzed germplasm revealed by SCoT markers. Primers Total Bands Polymorphic bands Polymorphism (%) PIC Ne h I S-12 23 23 100 0.61 1.52 0.31 0.47 S-13 26 22 84.62 0.59 1.47 0.27 0.40 S-16 25 25 100 0.46 1.31 0.20 0.32 S-18 37 36 97.3 0.51 1.36 0.23 0.36 S-19 24 20 83.33 0.25 1.28 0.18 0.29 S-22 32 32 100 0.32 1.41 0.26 0.42 S-25 39 39 100 0.86 1.61 0.36 0.54 S-26 38 36 94.74 0.50 1.57 0.33 0.49 S-27 28 27 96.43 0.52 1.55 0.31 0.47 S-30 28 27 96.43 0.59 1.36 0.24 0.38 S-31 35 34 97.14 0.62 1.61 0.35 0.52 S-32 23 20 86.96 0.32 1.33 0.21 0.34 S-33 27 26 96.3 0.58 1.39 0.25 0.39 S-34 26 22 84.62 0.43 1.32 0.20 0.32 S-35 29 24 82.76 0.60 1.40 0.24 0.36 Mean 29.33 27.53 93.38 0.52 1.43 0.26 0.41 Total 440 413 Ne = effective number of alleles, h = gene diversity, I = Shannon’s information index, PIC = Polymorphism Information Content Table 4 Genetic diversity parameters of lentil populations based on geographic regions using SCoT markers. Populations Na Ne I He uHe %P Pakistan 1.88 1.52 0.46 0.30 0.31 88.86% Iran 1.59 1.47 0.39 0.27 0.28 68.86% India 1.57 1.43 0.36 0.24 0.26 65.45% Jordan 1.02 1.19 0.16 0.11 0.15 26.82% Lebanon 1.25 1.36 0.31 0.21 0.28 51.59% Turkey 1.21 1.34 0.29 0.20 0.26 47.95% Egypt 1.25 1.35 0.30 0.20 0.27 49.09% Brazil 1.20 1.32 0.28 0.19 0.25 45.91% Cyprus 1.29 1.37 0.31 0.21 0.29 51.82% Control 1.08 1.20 0.17 0.11 0.13 29.32% Na = observed number of alleles, Ne = effective number of alleles, He = Nei’s gene diversity, I = Shannon’s Information Index, uHe = Unbiased Expected Heterozygosity, %P = Percentage polymorphism The delta K method indicated that K = 4 was the most profable number of populations among the lentil accessions (Fig. 2). The population structure analysis using Bayesian approach also grouped the lentil germplasm into four distinct populations, designated as A, B, C, and D (Fig. 3). Population A comprised of 8 genotypes, whereas population B, C, and D included 15, 13, and 11 genotypes respectively. Genotypes with Q coefficient ≥ 70% were assigned to specific populations while the remaining genotypes were classified as admixtures. The genetic relationship among 96 lentil accessions were illustrated using a circular dendrogram constructed via neighbor-joining method (Fig. 4). The genotypes were classified into two major groups: with 76 genotypes assigned to Group A and 20 to Group B. Group A was subdivided into two clusters, A1 and A2, comprising 29 and 47 genotypes respectively. Principle coordinate analysis (PCoA) was performed to assess the genetic relationship among lentil accessions (Fig. 5). The AMOVA results showed that most of the genetic variation (87%) existed within populations, whereas only 13% occurred among populations (Table 5). Table 5 Analysis of molecular variance (AMOVA) of lentil germplasm using SCoT markers. Source df SS MS Est. Var. % Among Pops 9 91.889 10.210 0.783 13% Within Pops 91 479.629 5.271 5.271 87% Total 100 571.518 6.053 100% Df = degree of freedom, SS = sum of squares, MS = mean squares, Est.Var. = estimated variance, % percentage Discussion As essential genomic tools, molecular markers facilitate genetic polymorphism analysis, genetic distance estimation, gene mapping, diversity studies, and marker-assisted breeding [ 8 ]. Assessment of genetic diversity provides critical insights into species’s genetic structure. Different markers have been used to evaluate genetic diversity in lentil germplasm [ 35 – 38 ]. A study by Yousuf, (2017) utilized only six lentil accessions to evaluate genetic diversity using SCoT markers. Therefore, genetic diversity of lentil germplasm remains largely unexplored using SCoT markers. In this context, the present study utilized 96 lentil accessions to understand the genetic diversity through SCoT markers. Genetic diversity and population structure of lentil germplasm was analyzed using 15 polymorphic SCoT markers. The 15 primers used in this study amplified 440 bands, of which 413 were polymorphic (Table 3 ). This study recorded a higher number of total and polymorphic bands compared to previous research findings [ 39 – 41 , 17 ]. In the present study, the average number of bands per primer was 29.33, while the average number of polymorphic bands per primer was 27.53. Altaf et al. [ 17 ] reported an average of 28.05 total bands and 23.5 polymorphic bands per primer using SCoT markers in wheat germplasm. In a study on barley germplasm, Yeken et al. [ 42 ] demonstrated that SCoT markers produced an average of 15.63 total bands and 11.88 polymorphic bands per primer, which was lower than our study. In a study by Yusuf [ 30 ], SCoT markers were used for evaluation of genetic diversity of lentil and the average polymorphic bands was 2.6. Similarly, studies by Pan et al. [ 43 ] and Yeken et al. [ 20 ] yielded lower average of total and polymorphic bands compared to the present study. Our study revealed a polymorphism rate of 93.38% which was higher than values reported in earlier studies on lentil using ISSR and SSR markers [ 27 , 44 ]. Also, Osman and Ali [ 45 ] reported polymorphism percentages in Pea germplasm using RAPD (62.71%), ISSR (73.24%), and SCoT (75.24%), which are all notably lower than polymorphism rate observed in this study. The polymorphic information content is an important parameter used to evaluate the effectiveness of polymorphic loci and indicates the discriminatory power of each primer [ 46 ]. PIC values in this investigation varied between 0.25 (SCoT 19) and 0.86 (SCoT 25), with a mean value of 0.52. Shekhawat et al. [ 35 ] conducted a study on lentil using SSR markers and reported a mean PIC value of 0.28. Also, the mean PIC values reported by Mohammed et al. [ 36 ] using SRAP markers (0.33) and Al-Mousa et al. [ 27 ] using ISSR markers (0.28) in lentils were lower than the averaged observed in this study. The elevated PIC values obtained in this study suggest that SCoT primers employed were highly informative and have substantial capacity to distinguish among the lentil genotypes. The average effective number of alleles (Ne) across lentil accessions in this study was calculated as 1.43. Pan et al. [ 43 ] conducted a study on Annamocarya sinensis using SCoT markers and reported mean Ne of 1.26, which is lower than value obtained in our study. Freeland et al. [ 47 ] emphasized that Shannon’s information index and Nei’s gene diversity are important metrics for evaluating genetic variation across different plant lineages. An average value of 0.41 for Shannon’s information index (I) and 0.26 for Nei’s gene diversity (h) was recorded for the SCoT markers in this investigation. Compared to present results, lower genetic diversity values were observed by Yalinkiliç et al. [ 19 ] in sugar beet, who reported a mean h of 0.22 and I of 0.33 based on SCoT analysis. The genetic distance ranged up to 0.55, observed between G2 (Pakistan2) and G41 (Iran3) while the mean genetic distance across all genotypes was calculated as 0.31. This suggests that these accessions may serve as valuable resources for future lentil breeding. Consistent with Swarup et al. [ 48 ] genetically diverse accessions are crucial for developing cultivars with improved traits. Genetic diversity indices revealed notable variation among populations (Table 4 ). Pakistan exhibited the highest genetic diversity, as indicated by its high values across all parameters (Na, Ne, He, uHe, I, and P%) suggesting a broad genetic base likely due to greater germplasm exchange or local adaption. In contrast, Jordan showed the lowest genetic diversity which may reflect limited genetic input or narrowly adapted gene pool. These findings highlight the importance of Pakistani germplasm as valuable source for broadening genetic diversity in lentil breeding programs. The AMOVA results showed that majority of genetic variation (87%) existed within populations and only 13% among populations. This pattern of genetic diversity is several previous reports on lentil germplasm [ 49 , 50 ]. The high level of genetic diversity observed within populations suggests that lentil accessions from same population are genetically distinct, underscoring genetic richness present at each sampling location. To reveal population structure and genetic relationships, clustering approaches like STRUCTURE, neighbor-joining and PCoA were applied. The model-based STRUCTURE analysis has been shown to be reliable and effective tool in earlier studies [ 51 ]. Understanding population structure is important for selecting suitable parents in breeding and for marker-trait associations [ 52 ]. It also helps estimate genetic relatedness among individuals and subpopulations. Therefore, STRUCTURE was used as a benchmark clustering method in this study. STRUCTRUE-based clustering classified the 96 lentil accessions in four groups (A, B, C and, D) based on membership coefficient (Q) ≥ 70% while the remaining genotypes were categorized as admixtures due to their Q values falling below this threshold. Population A included 8 genotypes from Pakistan and Turkey. Their clustering may reflect the historical introduction and spread of lentil varieties between Near East and South Asia. Turkey, as part of Near Eastern domestication center and Pakistan, a key South Asian diversification zone shared genetic signatures, possible due to early farmer-mediated selection for adaptive traits. Population B comprised of 15 genotypes from Pakistan and Iran, countries that not only shared geographical proximity but also deep agricultural ties. Their genetic similarity likely comes from centuries of seed exchange, especially across the Iranian Plateau, which has been a key route for crop improvement [ 53 ]. Additionally, both areas have similar dry climates, natural selection may have favored the same traits in lentils from both regions. Population C with 13 genotypes, was the most geographically diverse, containing accessions from Pakistan, India, Iran, Jordan, Lebanon and Turkey This wide representation indicates strong genetic links between South Asia, the Middle East, and Eastern Mediterranean. The grouping of accessions from these regions likely points to a common domestication origin, historical seed exchange, and adaptation to similar environments. Lentil was first domesticated in Fertile crescent, covering parts of modern-day Turkey, Iran, and the Levant (Jordan and Lebanon) [ 54 , 55 ]. It later spread to South Asia, where it adapted and diversified to different climates and agricultural practices [ 24 , 56 ]. The mixed genotypes in this group points to the influence of historical trade routes like Silk-road and Indus-valley connection in spreading and exchanging lentil landraces. Studies have shown similar clustering in lentil germplasm from Asia and the Mediterranean due to seed exchange, migration and shared ancestry [ 57 , 58 ]. Population D consisted of 11 genotypes from Pakistan and India, highlighting regional lineage continuity and shared selection environments. This observation aligns with findings of Guerra-Garcia et al. [ 59 ] and Alo et al. [ 60 ] who reported strong genetic similarity among Subcontinent (India-Pakistan) genotypes. The presence of admixed genotypes in STRUCTURE results indicates interpopulation geneflow and partial genetic separation, a typical pattern in self-pollinated species like lentil [ 61 ]. STRUCTURE results aligned with Nei’s genetic distance data, which grouped closely related genotype G88 and G89 in same group and genetically distant ones (G2 and G41) in different groups. The agreement between structure and distance analyses supports the genetic clustering and highlights the role of geography and evolution in shaping lentil diversity. The analysis using neighbor-joining method separated the lentil germplasm into two main groups: A (76 genotypes) and B (20 genotypes) (Fig. 4). Further classification of Group A resulted into two groups: A1 and A2, comprising 29 and 47 genotypes respectively. Group A predominately consisted of genotypes from Pakistan, India, Iran, as well as one from Cyprus and three from Turkey. In contrast, Group B included amore geographically diverse set of genotypes from Pakistan, India, Iran, Turkey, Brazil, Jordan, Lebanon, and Egypt. This grouping pattern indicates a strong influence of geographic origin on genetic clustering, with Group A showing a higher level of regional specificity, particularly from South and West Asia. The formation of Group A and its subgroups may reflect a shared evolutionary history or limited genetic exchange with more distant populations, leading to genetic similarity among accessions from neighboring regions. Group B, on the other hand, represent a divergent gene pool, resulting from wide genetic exchange or introduction events across different countries. The presence of both old and new world regions suggests a broader genetic base, which could be valuable for introducing more novel traits into breeding programs. Principal Coordinate analysis (PCoA) was performed to visualize the genetic relationships among lentil genotypes (Fig. 5). The PCoA plot revealed moderate level of genetic dispersion, with partial clustering of genotypes according to their geographic origin. Genotypes from Pakistan formed the densest group, while accessions from other countries, including Brazil, Turkey, and Egypt appeared more dispersed indicating greater genetic variability. Conclusion The study concluded that SCoT markers facilitated a comprehensive analysis of genetic diversity and population structure of lentil germplasm. A high level of polymorphism was observed, supported by high rate of polymorphic bands across the accessions. The genetic diversity was found to be distributed both within and among populations, as confirmed by AMOVA results showing significant genetic differentiation. STRUCTURE analysis revealed four genetic groups, suggesting considerable population clustering. The neighbor-joining dendrogram grouped the accessions into two broader clusters, highlighting the genetic relationship among them. These findings confirmed that SCoT markers are effective tools for accessing genetic diversity in lentils. In addition, they provide a foundation for developing targeted breeding programs to improve the genetic potential of this crop. Declarations Data Availability All data needed to conduct this study is provided within the manuscript. Funding No funding was received for this study. Contributions All authors contributed to the study conception and design. S.A.Q.: data curation, formal analysis, methodology, writing—original draft; M.A.N.: Conceptualization, Supervision, Validation, formal analysis, methodology, writing—review and editing; M.F.S.: formal analysis, methodology, writing—review and editing; A.A.: data curation, validation, writing—review and editing; M.T.: Data curation; D.K.: writing—review and editing; M.K.I: Resources, ; S.E.: writing—review and editing, K.K.: conceptualization, supervision, methodology, writing—review and editing. S.S.: writing—review and editing, F.S.B.: conceptualization, supervision, methodology, writing—review and editing. 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Cite Share Download PDF Status: Published Journal Publication published 29 Jul, 2025 Read the published version in Molecular Biology Reports → Version 1 posted Editorial decision: Revision requested 14 Jul, 2025 Reviews received at journal 10 Jul, 2025 Reviews received at journal 10 Jul, 2025 Reviewers agreed at journal 10 Jul, 2025 Reviewers agreed at journal 09 Jul, 2025 Reviewers invited by journal 09 Jul, 2025 Editor assigned by journal 09 Jul, 2025 Submission checks completed at journal 09 Jul, 2025 First submitted to journal 08 Jul, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7075563","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":483513910,"identity":"9887844d-4fb7-41ef-be1a-cc668e0fac95","order_by":0,"name":"Sarmad Ali Qureshi","email":"","orcid":"","institution":"Sivas University of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Sarmad","middleName":"Ali","lastName":"Qureshi","suffix":""},{"id":483513911,"identity":"2306c759-e6a4-4dd1-9ccc-b66e27f44bd4","order_by":1,"name":"Muhammad Azhar Nadeem","email":"","orcid":"","institution":"Mersin 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09:52:00","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":147694,"visible":true,"origin":"","legend":"\u003cp\u003eΔK plot indicating the optimal number of genetic clusters (K = 4) among lentil germplasm based on the method of Evanno et al. [34].\u003c/p\u003e","description":"","filename":"Figure2.png","url":"https://assets-eu.researchsquare.com/files/rs-7075563/v1/491b399d96c5137ce01234c6.png"},{"id":86495971,"identity":"6fe04628-4496-4493-b87c-2a3825dc3faa","added_by":"auto","created_at":"2025-07-11 10:08:00","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":911754,"visible":true,"origin":"","legend":"\u003cp\u003ePopulation structure of lentil germplasm based on SCoT markers\u003c/p\u003e","description":"","filename":"Figure3.png","url":"https://assets-eu.researchsquare.com/files/rs-7075563/v1/58bdf6511d0e484d81226aa9.png"},{"id":86495977,"identity":"48f1aec0-1acf-4821-afe2-d3390c478a71","added_by":"auto","created_at":"2025-07-11 10:08:04","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":457897,"visible":true,"origin":"","legend":"\u003cp\u003eNeighbor-joining analysis of 96 lentil accessions using SCoT markers\u003c/p\u003e","description":"","filename":"Figure4.png","url":"https://assets-eu.researchsquare.com/files/rs-7075563/v1/170ffb6f58e44f1f2db15953.png"},{"id":86494427,"identity":"fd3f76ad-2608-437f-892f-461f3b9a81b3","added_by":"auto","created_at":"2025-07-11 09:52:00","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":82631,"visible":true,"origin":"","legend":"\u003cp\u003ePrincipal Coordinates analysis (PCoA) of lentil germplasm using SCoT markers\u003c/p\u003e","description":"","filename":"Figure5.png","url":"https://assets-eu.researchsquare.com/files/rs-7075563/v1/48a4858fab74ed6461fbead8.png"},{"id":88268051,"identity":"db483425-590b-4687-80d9-f75433c55a65","added_by":"auto","created_at":"2025-08-04 16:48:43","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":4049874,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7075563/v1/e85e68ce-0a61-443a-8b7e-4b6299f7c7f2.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"\u003cp\u003eUnveiling genetic diversity and population structure in lentil (\u003cem\u003eLens culinaris\u003c/em\u003e) germplasm through SCoT markers\u003c/p\u003e","fulltext":[{"header":"Introduction","content":"\u003cp\u003eFood security is increasingly at risk due to climate change, as it disrupts crops production with extreme biological and environmental stresses. Zhao et al. [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e] reported that climate change-induced warming leads to a 3.1%-7.4% drop in crop yields with each 1\u0026deg;C upsurge in global temperature. In addition to climate change, the swift growth of global population has emerged as a critical issue placing immense pressure on breeders to meet rising food demands. The world population is expected to grow to 9.7\u0026nbsp;billion in 2050, increasing the demand for sustainable food production under a more unpredictable climate [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. Plant breeders face the vital task of developing crops that can withstand climate challenges while maintaining the high yields and nutritional values. To achieve these goals, it is essential to access genetic diversity through conservation and characterization of germplasm. The conservation of lentil germplasm plays a vital role in preserving genetic resources required for future breeding [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. Approximately 58,405 lentil accessions are stored ex situ in different gene banks, but a significant percentage are duplicate records [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e, \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. The ICARDA gene bank contains 14,577 \u003cem\u003eLens\u003c/em\u003e accessions, including landraces, wild relatives and breeding lines (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://www.genesys-pgr.org\u003c/span\u003e\u003cspan address=\"https://www.genesys-pgr.org\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eCharacterizing genetic diversity among conserved germplasms aids effective documentation and well-informed breeding material selection [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. The evaluation of genetic diversity can be achieved by morphological observations, biochemical profiling and molecular marker systems. Molecular marker systems stand out as valuable tools for rapid and reliable genetic determination of genetic differences [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. Such tools are essential for both the preservation of genetic resources and their application in breeding programs. Several molecular markers systems, including simple sequence repeats (SSR), inter-simple sequence repeats (ISSR), amplified fragment length polymorphism (AFLP), inter-primer binding site (iPBS), and diversity arrays technology (DArT) have been utilized in marker-assisted breeding across diverse plant species [\u003cspan additionalcitationids=\"CR10 CR11 CR12\" citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. Applications of these markers include analyzing genetic populations, QTL mapping, association analysis for yield attributes, and screening for candidate gene.\u003c/p\u003e\u003cp\u003eCollard and Mackill [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e] developed the Start codon targeted (SCoT) marker system, which is based on conserved sequences adjacent to the start codon in plant DNA. These markers are amplified via PCR using single primers, operating on the same principle as RAPD and ISSR. Recent studies [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e] have showed that these markers are more reliable than RAPD and ISSR markers. This marker system has proven effective for assessing genetic diversity and analyzing population structure across many plant species [\u003cspan additionalcitationids=\"CR18 CR19\" citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eLentil (\u003cem\u003eL. culinaris\u003c/em\u003e) is a significant legume crop worldwide since it provides food and nutritional security due to its high dietary fiber, protein, and many health benefits [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. As one of the earliest domesticated legumes, originating in the Fertile Crescent [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e], its cultivation expanded later to Central Asia and the Mediterranean Basin [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e, \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e]. Global lentil production increased more than twice between 2001 and 2023, from 3.15 to 7.07\u0026nbsp;million metric tons [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]. To sustain this progress, there is a need to preserve and utilize lentil genetic diversity to supply ongoing adaptability and productivity. Various markers such as SSR, ISSR, AFLP, and iPBS have been used in lentil genetic diversity studies [\u003cspan additionalcitationids=\"CR27 CR28\" citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e]. However, the start codon targeted (SCoT) remains less explored in lentils with one reported study [\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e]. This emphasizes a knowledge gap that must be addressed to advance lentil genomics studies. In this study, we used 96 lentil (\u003cem\u003eL. culinaris\u003c/em\u003e) accessions collected from different countries. The objective was to evaluate genetic diversity and population structure using Start codon targeted (SCoT) markers.\u003c/p\u003e"},{"header":"Material and Methods","content":"\u003cp\u003e\u003cb\u003ePlant material and DNA isolation\u003c/b\u003e\u003c/p\u003e\u003cp\u003eA total of 96 lentil accession collected from different origins were used in this research. The germplasm details are summarized in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e. The plants were grown in the greenhouse of Sivas University of Science and Technology for the purpose of DNA extraction. Young leaves from all genotypes were collected to perform DNA isolation as recommended by Doyle and Doyle [\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e] and Diversity Arrays Technology protocol (available at \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://www.diversityarrays.com/orderinstructions/plant-dnaextraction-protocol-for-dart/\u003c/span\u003e\u003cspan address=\"https://www.diversityarrays.com/orderinstructions/plant-dnaextraction-protocol-for-dart/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e). DNA quantity and quality was assessed using a Nanodrop 2000c spectrophotometer (Thermo Scientific, USA). Additionally, DNA quality was verified by running samples on 0.8% agarose gel. DNA samples were standardized to a final concentration of 5 ng/\u0026micro;L for PCR analysis.\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eOverview of collection sites and geographical sources of lentil germplasm\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"9\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSerial No\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eGenotype name\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eAcc No\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eBotanical name\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003eOrigin\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003eProvince\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u003cp\u003eDistrict\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e\u003cp\u003eTown\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e\u003cp\u003eColl Location\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005524\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003ePunjab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eNarowal\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eNarowal\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e06 Km from Narowal to Murikay\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005525\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003ePunjab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eSialkot\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eMorchapur\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e12 Km from Sialkot-Kigri Road\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005526\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003ePunjab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eMuzaffargarh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eChak Mithan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e08 Km from M-garh to Karachi\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005527\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003ePunjab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eSialkot\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eQila Soba Singh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e13 Km from Pasrur\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005529\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003ePunjab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eKasur\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003ePattuki\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eVilage market\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005530\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003ePunjab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eMuzaffargarh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eNai Wala\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e06 Km from Chowk Munda\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005531\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003ePunjab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eMuzaffargarh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eChowk No.611-TDA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e30 Km from Chowk Munda\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG8\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan8\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005535\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003ePunjab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eJhang\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eKalianwala Chak\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e28 Km after Jhang to Faisalabad\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005536\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003ePunjab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eGujranwala\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eKamoki\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eLahore - Pindi Road\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005537\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003ePunjab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eGujrat\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eGujrat\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eWazirabad\u0026ndash; Pindi Road\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG11\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan11\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005539\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eThatta\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eGullam Ullah\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e15 Km from Sangroo to Thatta\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005541\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eThatta\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eSujawal\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e28 Km from Thatta to Badin\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005542\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eThatta\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHaji Qasim\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e04 Km from Sujawal-H-abad\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005543\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eThatta\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHaji Qasim\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e04 Km from Sujawal-H-abad\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005544\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eBadin\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003ePanjwi Chaka\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e34 Km before Badin\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005546\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eBadin\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eKot Pir Misri Shah\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e03 Km from Tando Bago to H-abad\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG17\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan17\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005547\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eBadin\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eKot Pir Misri Shah\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e03 Km from Tando Bago to H-abad\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005548\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eBadin\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eTalhar\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eTando Bago to H-abad road\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG19\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan19\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005549\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eBadin\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eAman Khan Jagshi\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e03 Km before Matli\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG20\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan20\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005550\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eHyderabad\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHyderabad\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eGrain Market\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG21\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan21\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005551\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eHyderabad\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHyderabad\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eGrain Market\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG22\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan22\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005552\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eHyderabad\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHyderabad\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eGrain Market\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005553\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eHyderabad\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHyderabad\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eGrain Market\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG24\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan24\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005555\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eHyderabad\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHyderabad\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eGrain Market\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG25\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan25\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005556\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eHyderabad\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eTando Allahyar\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e38 Km from Hy-abad to Mirpur Khas\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG26\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan26\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005557\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eMirpur Khas\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eMirpur Khas\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eMarket\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG27\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan27\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005558\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eMirpur Khas\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eMirpur Khas\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eMarket\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG28\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan28\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005562\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eSanghar\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eSanghar\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eMarket\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG29\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan29\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005565\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eHyderabad\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eM. Ali Sangrsi\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e05 Km off to Hy-abad-Mirpur Khas\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG30\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan30\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005566\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eHyderabad\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHala\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eMarket\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG31\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan31\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005567\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eNawabshah\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eNawabshah\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eMarket\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG32\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan32\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005568\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eNawabshah\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eNawabshah\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eMarket\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG33\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan33\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005572\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eSukkur\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eJatoi Khalkeno\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e25 Km from Sukkar\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG34\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan34\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005574\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eGhotki\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eMirpur Mathilo\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eMarket\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG35\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan35\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005575\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eGhotki\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eMirpur Mathilo\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eMarket\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG36\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan36\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005576\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eGhotki\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eUbauro\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eMarket\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG37\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan37\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005577\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003ePunjab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eR.Y. Khan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eR.Y. Khan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eMarket\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG38\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakistan38\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005578\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003ePunjab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eR.Y. Khan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eInayat Khan Basti\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eMauza Musa Kanjoo\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG39\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIran1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005907\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eIran\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG40\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIran2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005910\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eIran\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG41\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIran3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005912\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eIran\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG42\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIran4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005914\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eIran\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG43\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIran5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005925\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eIran\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG44\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIran6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005927\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eIran\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG45\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIran7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005928\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eIran\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG46\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIran8\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005930\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eIran\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG47\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIran9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005943\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eIran\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG48\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIran10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005964\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eIran\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG49\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eJordan1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005966\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eIran\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG50\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eLebanon\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005968\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eLebanon\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG51\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eTurkey\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005970\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eTurkey\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG52\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eEgypt\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005971\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eEgypet\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG53\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eBrazil\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005977\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eBrazil\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG54\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIndia1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005984\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eIndia\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG55\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIndia2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005988\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eIndia\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG56\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIndia3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005989\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eIndia\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG57\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIndia4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005999\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eIndia\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eUtter Pradesh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG58\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIndia5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e006006\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eIndia\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG59\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIndia6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e006008\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eIndia\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG60\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIndia7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e006010\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eIndia\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG61\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIndia8\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e006011\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eIndia\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG62\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIndia9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e006012\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eIndia\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG63\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIndia10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e006013\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eIndia\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG64\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eJordan2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e006020\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eJordan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG65\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eCyprus\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e006022\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eCyprus\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG66\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakitsan39\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005504\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG67\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakitsan40\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005508\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003ePunjab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eMuzaffargarh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eMuzaffargarh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eMarket\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG68\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakitsan41\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005520\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003ePunjab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eJhang\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eJhang\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eMarket\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG69\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakitsan42\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005538\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eThatta\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eGharoo town\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e68 Km from Karachi to Thatta\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG70\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakitsan43\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005539\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eThatta\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eGullam Ullah\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e15 Km from Sangroo to Thatta\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG71\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakitsan44\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005548\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eBadin\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eTalhar\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eTando Bago to H-abad road\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG72\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakitsan45\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005565\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eHyderabad\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eM. Ali Sangrsi\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e05 Km off to Hy-abad-Mirpur Khas\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG73\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakitsan46\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005551\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eHyderabad\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHyderabad\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eGrain Market\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG74\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakitsan47\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005576\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eGhotki\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eUbauro\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eMarket\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG75\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakitsan48\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005577\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003ePunjab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eR.Y. Khan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eR.Y. Khan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eMarket\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakitsan49\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005579\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003ePunjab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eBahawalpur\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eKhushin Mohd.\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e05 Km from Zahir Pir\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG77\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakitsan50\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005580\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003ePunjab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eMuzaffargarh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eSher Sultan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e58 Km before Muzaffargarh\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG78\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakitsan51\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005582\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003ePunjab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eMultan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eMultan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eMandi\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG79\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakitsan52\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005583\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003ePunjab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eMuzaffargarh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eKhoh Ukanwala\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e13 Km from M-garh\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG80\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakitsan53\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005589\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003ePunjab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eMuzaffargarh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eRangpur\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eMuzaffargarh-Jhang road\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG81\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakitsan54\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005816\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG82\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakitsan55\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005869\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG83\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakitsan56\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005547\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eBadin\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eKot Pir Misri Shah\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e03 Km from Tando Bago to H-abad\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG84\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakitsan57\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005488\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003ePunjab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eOkara\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eDipal Pur\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eMarket\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG85\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakitsan58\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005573\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eGhotki\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eRustam Khan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e10 km before Ghotki\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG86\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakitsan59\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005514\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003ePunjab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eMuzaffargarh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eKhanpur\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eVillage market\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG87\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakitsan60\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005549\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eBadin\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eAman Khan Jagshi\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e03 Km before Matli\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG88\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakitsan61\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005568\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eNawabshah\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eNawabshah\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eMarket\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG89\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakitsan62\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005605\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eNA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eGilgit\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eDamas\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e30 Km from Gupus to Gilgit road\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG90\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakitsan63\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005533\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003ePunjab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eJhang\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eBudh Rajbina\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e05 Km off Shorkot on Pattan\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG91\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakitsan64\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005593\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSindh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eNawabshah\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eDehphulil\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e07 Km W to Doulatpur\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG92\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePakitsan65\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e005511\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003eL. culinaris\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePakistan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003ePunjab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eMuzaffargarh\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eAli Wali\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e05 Km from Shah Jamal\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG93\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eSeyran\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG94\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eCagil\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG95\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eTigris\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG96\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eKoc21\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cb\u003ePCR Amplification\u003c/b\u003e\u003c/p\u003e\u003cp\u003eIn the early stage of investigation, 8 DNA samples were chosen to identify polymorphic markers suitable for lentil germplasm. The selected samples were screened with 30 SCoT markers, leading to selection of 15 highly polymorphic primers (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). PCR was conducted in 10 \u0026micro;L reactions with the following components: 25\u0026ndash;30 ng DNA, 1 \u0026micro;L 10\u0026times; PCR buffer (with KCl, without MgCl₂), 1.5 \u0026micro;L (0.5 \u0026micro;M each) SCoT primer, 1 \u0026micro;L (0.2 mM) dNTPs, 0.15 \u0026micro;L DreamTaq DNA polymerase (Thermo Scientific), 1 \u0026micro;L (25 mM) MgCl₂, and 2.5 \u0026micro;L DNA (5 ng/\u0026micro;L). The volume was adjusted to 10 \u0026micro;L by adding 2.85 \u0026micro;L distilled water. The PCR cycling protocol consisted of an initial denaturation at 94\u0026deg;C for 5 min; 35 cycles of 94\u0026deg;C for 1 min (denaturation), 50\u0026deg;C for 1 min (annealing), and 72\u0026deg;C for 2 min (extension); followed by a final extension at 72\u0026deg;C for 8 min. PCR amplicons were separated on 2% agarose gels in 1\u0026times; TBE at 110V for 150 minutes. The separated products were stained with ethidium bromide and imaged using a Bio-Rad Gel Doc XR\u0026thinsp;+\u0026thinsp;imaging system. The gel images of PCR products amplified with SCoT 26 are shown in Fig.\u0026nbsp;1.\u003c/p\u003e\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003eStatistical Analysis\u003c/p\u003e\n\u003cp\u003eWell-resolved and unambiguous bands were used for scoring process. A binary scoring system was applied, where the presence of a band was marked as 1 and its absence as 0. Genetic diversity was calculated using parameters like Shannon's Information Index (I), gene diversity (h), number of effective alleles (Ne), and Nei's genetic distance (GD) with the help of PopGen version 1.32 [32]. Polymorphism information content (PIC) was calculated by employing the formula PIC = 1 - ∑(pi)², wherein pi is denoted as the i-th allele's frequency in a given population. Principal coordinates analysis (PCoA) and analysis of molecular variance (AMOVA) were carried out using the GeneALEx software version 6.5 [33]. To study the genetic relationships among 96 lentil genotypes, a neighbor-joining analysis was performed using R statistical software. Additionally, STRUCTURE software (version 2.3.4, Stanford, CA, USA) was used to assess the population structure of the genotypes based on the Bayesian clustering model, as described by Evanno et al. [34]. The analysis was carried out with a burn-in period of 50,000 and 50,000 MCMC (Markov chain Monte Carlo) iterations. Ten independent runs were conducted for each proposed number of populations to assess the genetic structure. The optimal number of subpopulations (K) was determined using Structure Selector (https://lmme.ac.cn/StructureSelector/) which analyzes STRUCTURE output based on the ΔK method.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003eA set of 15 SCoT markers was used to evaluate genetic diversity and molecular characterization of lentil germplasm. From 15 primers, 440 bands were produced, of which 413 were polymorphic (Table 3). SCoT 25 produced the highest band count (39) while SCoT 12 yielded the lowest (23). The mean number of bands per primer was 29.33, with 27.53 polymorphic bands per primer on average. Four primers exhibited 100% polymorphism while the mean polymorphism for all primers was 93.8% (Table 3). The observed PIC value spanned from 0.25 to 0.86, with a mean of 0.52 across all primers. SCoT 25 showed the highest effective number of alleles (Ne = 1.61) while SCoT 19 had the lowest (1.28). The mean of Ne across all primers was 1.43. The highest gene diversity (h = 0.36) in SCoT 25 and the lowest (0.18) in SCoT 19, with an average value of 0.26. Shannon’s index (I) ranged from 0.29 (SCoT 19) to 0.54 (SCoT 25), with an average of 0.41. The mean genetic distance across all 96 lentil accessions was 0.31. The most genetically distant pair was G2 (Pakistan2) and G41 (Iran3), with a distance of 0.55, whereas the closest genetic relationship (0.14) was found between G88 (Pakistan61) and G89 (Pakistan62). Diversity indices were determined for populations to provide clear understanding of genetic diversity (Table 4). Among all populations, Pakistan exhibited the highest genetic diversity (Na = 1.88, Ne = 1.52, I = 0.46, He = 0.31, uHe = 0.31, and %P = 88.86%) while Jordan showed the lowest (Na = 1.02, Ne = 1.19, I = 0.16, He = 0.11, uHe = 0.15, and %P = 26.82%).\u003c/p\u003e\n\u003cdiv\u003e\n \u003ctable id=\"Tab3\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv\u003eTable 3\u003c/div\u003e\n \u003cdiv\u003e\n \u003cp\u003eGenetic variation statistics of analyzed germplasm revealed by SCoT markers.\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003ePrimers\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eTotal Bands\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003ePolymorphic bands\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003ePolymorphism (%)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003ePIC\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eNe\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eh\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eI\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eS-12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e100\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.47\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eS-13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e84.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.40\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eS-16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e100\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.32\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eS-18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e97.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.36\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eS-19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e83.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.29\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eS-22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e100\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.42\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eS-25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e100\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.54\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eS-26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e94.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.49\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eS-27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e96.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.47\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eS-30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e96.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.38\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eS-31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e97.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.52\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eS-32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e86.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.34\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eS-33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e96.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.39\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eS-34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e84.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.32\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eS-35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e82.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.36\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMean\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e29.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e27.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e93.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.41\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e440\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e413\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"8\"\u003eNe = effective number of alleles, h = gene diversity, I = Shannon’s information index, PIC = Polymorphism Information Content\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cdiv\u003e\n \u003ctable id=\"Tab4\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv\u003eTable 4\u003c/div\u003e\n \u003cdiv\u003e\n \u003cp\u003eGenetic diversity parameters of lentil populations based on geographic regions using SCoT markers.\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003ePopulations\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eNa\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eNe\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eI\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eHe\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003euHe\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e%P\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePakistan\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e88.86%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eIran\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e68.86%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eIndia\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e65.45%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eJordan\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e26.82%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eLebanon\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e51.59%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eTurkey\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e47.95%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eEgypt\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e49.09%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eBrazil\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e45.91%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCyprus\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e51.82%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eControl\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e29.32%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\"\u003eNa = observed number of alleles, Ne = effective number of alleles, He = Nei’s gene diversity, I = Shannon’s Information Index, uHe = Unbiased Expected Heterozygosity, %P = Percentage polymorphism\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003eThe delta K method indicated that K = 4 was the most profable number of populations among the lentil accessions (Fig.\u0026nbsp;2). The population structure analysis using Bayesian approach also grouped the lentil germplasm into four distinct populations, designated as A, B, C, and D (Fig.\u0026nbsp;3). Population A comprised of 8 genotypes, whereas population B, C, and D included 15, 13, and 11 genotypes respectively. Genotypes with Q coefficient ≥ 70% were assigned to specific populations while the remaining genotypes were classified as admixtures.\u003c/p\u003e\n\u003cp\u003eThe genetic relationship among 96 lentil accessions were illustrated using a circular dendrogram constructed via neighbor-joining method (Fig. 4). The genotypes were classified into two major groups: with 76 genotypes assigned to Group A and 20 to Group B. Group A was subdivided into two clusters, A1 and A2, comprising 29 and 47 genotypes respectively. Principle coordinate analysis (PCoA) was performed to assess the genetic relationship among lentil accessions (Fig. 5). The AMOVA results showed that most of the genetic variation (87%) existed within populations, whereas only 13% occurred among populations (Table 5).\u003c/p\u003e\n\u003cdiv\u003e\n \u003ctable id=\"Tab5\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv\u003eTable 5\u003c/div\u003e\n \u003cdiv\u003e\n \u003cp\u003eAnalysis of molecular variance (AMOVA) of lentil germplasm using SCoT markers.\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eSource\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003edf\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eSS\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eMS\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eEst. Var.\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e%\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eAmong Pops\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e91.889\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e10.210\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.783\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e13%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eWithin Pops\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e479.629\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e5.271\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e5.271\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e87%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e100\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e571.518\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e6.053\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"6\"\u003eDf = degree of freedom, SS = sum of squares, MS = mean squares, Est.Var. = estimated variance, % percentage\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n \u003c/table\u003e\n\u003c/div\u003e"},{"header":"Discussion","content":"\u003cp\u003eAs essential genomic tools, molecular markers facilitate genetic polymorphism analysis, genetic distance estimation, gene mapping, diversity studies, and marker-assisted breeding [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. Assessment of genetic diversity provides critical insights into species\u0026rsquo;s genetic structure. Different markers have been used to evaluate genetic diversity in lentil germplasm [\u003cspan additionalcitationids=\"CR36 CR37\" citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e]. A study by Yousuf, (2017) utilized only six lentil accessions to evaluate genetic diversity using SCoT markers. Therefore, genetic diversity of lentil germplasm remains largely unexplored using SCoT markers. In this context, the present study utilized 96 lentil accessions to understand the genetic diversity through SCoT markers.\u003c/p\u003e\u003cp\u003eGenetic diversity and population structure of lentil germplasm was analyzed using 15 polymorphic SCoT markers. The 15 primers used in this study amplified 440 bands, of which 413 were polymorphic (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e). This study recorded a higher number of total and polymorphic bands compared to previous research findings [\u003cspan additionalcitationids=\"CR40\" citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e, \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]. In the present study, the average number of bands per primer was 29.33, while the average number of polymorphic bands per primer was 27.53. Altaf et al. [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e] reported an average of 28.05 total bands and 23.5 polymorphic bands per primer using SCoT markers in wheat germplasm. In a study on barley germplasm, Yeken et al. [\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e] demonstrated that SCoT markers produced an average of 15.63 total bands and 11.88 polymorphic bands per primer, which was lower than our study. In a study by Yusuf [\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e], SCoT markers were used for evaluation of genetic diversity of lentil and the average polymorphic bands was 2.6. Similarly, studies by Pan et al. [\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e] and Yeken et al. [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e] yielded lower average of total and polymorphic bands compared to the present study. Our study revealed a polymorphism rate of 93.38% which was higher than values reported in earlier studies on lentil using ISSR and SSR markers [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e, \u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e]. Also, Osman and Ali [\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e] reported polymorphism percentages in Pea germplasm using RAPD (62.71%), ISSR (73.24%), and SCoT (75.24%), which are all notably lower than polymorphism rate observed in this study.\u003c/p\u003e\u003cp\u003eThe polymorphic information content is an important parameter used to evaluate the effectiveness of polymorphic loci and indicates the discriminatory power of each primer [\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e]. PIC values in this investigation varied between 0.25 (SCoT 19) and 0.86 (SCoT 25), with a mean value of 0.52. Shekhawat et al. [\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e] conducted a study on lentil using SSR markers and reported a mean PIC value of 0.28. Also, the mean PIC values reported by Mohammed et al. [\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e] using SRAP markers (0.33) and Al-Mousa et al. [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e] using ISSR markers (0.28) in lentils were lower than the averaged observed in this study. The elevated PIC values obtained in this study suggest that SCoT primers employed were highly informative and have substantial capacity to distinguish among the lentil genotypes. The average effective number of alleles (Ne) across lentil accessions in this study was calculated as 1.43. Pan et al. [\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e] conducted a study on \u003cem\u003eAnnamocarya sinensis\u003c/em\u003e using SCoT markers and reported mean Ne of 1.26, which is lower than value obtained in our study. Freeland et al. [\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e] emphasized that Shannon\u0026rsquo;s information index and Nei\u0026rsquo;s gene diversity are important metrics for evaluating genetic variation across different plant lineages. An average value of 0.41 for Shannon\u0026rsquo;s information index (I) and 0.26 for Nei\u0026rsquo;s gene diversity (h) was recorded for the SCoT markers in this investigation. Compared to present results, lower genetic diversity values were observed by Yalinkili\u0026ccedil; et al. [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e] in sugar beet, who reported a mean h of 0.22 and I of 0.33 based on SCoT analysis.\u003c/p\u003e\u003cp\u003eThe genetic distance ranged up to 0.55, observed between G2 (Pakistan2) and G41 (Iran3) while the mean genetic distance across all genotypes was calculated as 0.31. This suggests that these accessions may serve as valuable resources for future lentil breeding. Consistent with Swarup et al. [\u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e] genetically diverse accessions are crucial for developing cultivars with improved traits. Genetic diversity indices revealed notable variation among populations (Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e). Pakistan exhibited the highest genetic diversity, as indicated by its high values across all parameters (Na, Ne, He, uHe, I, and P%) suggesting a broad genetic base likely due to greater germplasm exchange or local adaption. In contrast, Jordan showed the lowest genetic diversity which may reflect limited genetic input or narrowly adapted gene pool. These findings highlight the importance of Pakistani germplasm as valuable source for broadening genetic diversity in lentil breeding programs. The AMOVA results showed that majority of genetic variation (87%) existed within populations and only 13% among populations. This pattern of genetic diversity is several previous reports on lentil germplasm [\u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e, \u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e]. The high level of genetic diversity observed within populations suggests that lentil accessions from same population are genetically distinct, underscoring genetic richness present at each sampling location.\u003c/p\u003e\u003cp\u003eTo reveal population structure and genetic relationships, clustering approaches like STRUCTURE, neighbor-joining and PCoA were applied. The model-based STRUCTURE analysis has been shown to be reliable and effective tool in earlier studies [\u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e]. Understanding population structure is important for selecting suitable parents in breeding and for marker-trait associations [\u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e52\u003c/span\u003e]. It also helps estimate genetic relatedness among individuals and subpopulations. Therefore, STRUCTURE was used as a benchmark clustering method in this study. STRUCTRUE-based clustering classified the 96 lentil accessions in four groups (A, B, C and, D) based on membership coefficient (Q)\u0026thinsp;\u0026ge;\u0026thinsp;70% while the remaining genotypes were categorized as admixtures due to their Q values falling below this threshold. Population A included 8 genotypes from Pakistan and Turkey. Their clustering may reflect the historical introduction and spread of lentil varieties between Near East and South Asia. Turkey, as part of Near Eastern domestication center and Pakistan, a key South Asian diversification zone shared genetic signatures, possible due to early farmer-mediated selection for adaptive traits. Population B comprised of 15 genotypes from Pakistan and Iran, countries that not only shared geographical proximity but also deep agricultural ties. Their genetic similarity likely comes from centuries of seed exchange, especially across the Iranian Plateau, which has been a key route for crop improvement [\u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e53\u003c/span\u003e]. Additionally, both areas have similar dry climates, natural selection may have favored the same traits in lentils from both regions. Population C with 13 genotypes, was the most geographically diverse, containing accessions from Pakistan, India, Iran, Jordan, Lebanon and Turkey This wide representation indicates strong genetic links between South Asia, the Middle East, and Eastern Mediterranean. The grouping of accessions from these regions likely points to a common domestication origin, historical seed exchange, and adaptation to similar environments. Lentil was first domesticated in Fertile crescent, covering parts of modern-day Turkey, Iran, and the Levant (Jordan and Lebanon) [\u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e54\u003c/span\u003e, \u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e55\u003c/span\u003e]. It later spread to South Asia, where it adapted and diversified to different climates and agricultural practices [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e, \u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e56\u003c/span\u003e]. The mixed genotypes in this group points to the influence of historical trade routes like Silk-road and Indus-valley connection in spreading and exchanging lentil landraces. Studies have shown similar clustering in lentil germplasm from Asia and the Mediterranean due to seed exchange, migration and shared ancestry [\u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e57\u003c/span\u003e, \u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e58\u003c/span\u003e]. Population D consisted of 11 genotypes from Pakistan and India, highlighting regional lineage continuity and shared selection environments. This observation aligns with findings of Guerra-Garcia et al. [\u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e59\u003c/span\u003e] and Alo et al. [\u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e60\u003c/span\u003e] who reported strong genetic similarity among Subcontinent (India-Pakistan) genotypes. The presence of admixed genotypes in STRUCTURE results indicates interpopulation geneflow and partial genetic separation, a typical pattern in self-pollinated species like lentil [\u003cspan citationid=\"CR61\" class=\"CitationRef\"\u003e61\u003c/span\u003e]. STRUCTURE results aligned with Nei\u0026rsquo;s genetic distance data, which grouped closely related genotype G88 and G89 in same group and genetically distant ones (G2 and G41) in different groups. The agreement between structure and distance analyses supports the genetic clustering and highlights the role of geography and evolution in shaping lentil diversity.\u003c/p\u003e\u003cp\u003eThe analysis using neighbor-joining method separated the lentil germplasm into two main groups: A (76 genotypes) and B (20 genotypes) (Fig.\u0026nbsp;4). Further classification of Group A resulted into two groups: A1 and A2, comprising 29 and 47 genotypes respectively. Group A predominately consisted of genotypes from Pakistan, India, Iran, as well as one from Cyprus and three from Turkey. In contrast, Group B included amore geographically diverse set of genotypes from Pakistan, India, Iran, Turkey, Brazil, Jordan, Lebanon, and Egypt. This grouping pattern indicates a strong influence of geographic origin on genetic clustering, with Group A showing a higher level of regional specificity, particularly from South and West Asia. The formation of Group A and its subgroups may reflect a shared evolutionary history or limited genetic exchange with more distant populations, leading to genetic similarity among accessions from neighboring regions. Group B, on the other hand, represent a divergent gene pool, resulting from wide genetic exchange or introduction events across different countries. The presence of both old and new world regions suggests a broader genetic base, which could be valuable for introducing more novel traits into breeding programs. Principal Coordinate analysis (PCoA) was performed to visualize the genetic relationships among lentil genotypes (Fig.\u0026nbsp;5). The PCoA plot revealed moderate level of genetic dispersion, with partial clustering of genotypes according to their geographic origin. Genotypes from Pakistan formed the densest group, while accessions from other countries, including Brazil, Turkey, and Egypt appeared more dispersed indicating greater genetic variability.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThe study concluded that SCoT markers facilitated a comprehensive analysis of genetic diversity and population structure of lentil germplasm. A high level of polymorphism was observed, supported by high rate of polymorphic bands across the accessions. The genetic diversity was found to be distributed both within and among populations, as confirmed by AMOVA results showing significant genetic differentiation. STRUCTURE analysis revealed four genetic groups, suggesting considerable population clustering. The neighbor-joining dendrogram grouped the accessions into two broader clusters, highlighting the genetic relationship among them. These findings confirmed that SCoT markers are effective tools for accessing genetic diversity in lentils. In addition, they provide a foundation for developing targeted breeding programs to improve the genetic potential of this crop.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eData Availability\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll data needed to conduct this study is provided within the manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNo funding was received for this study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eContributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll authors contributed to the study conception and design. S.A.Q.: data curation, formal analysis, methodology, writing\u0026mdash;original draft; M.A.N.: Conceptualization, Supervision, Validation, formal analysis, methodology, writing\u0026mdash;review and editing; M.F.S.: formal analysis, methodology, writing\u0026mdash;review and editing; A.A.: data curation, validation, writing\u0026mdash;review and editing; M.T.: Data curation; D.K.: writing\u0026mdash;review and editing; M.K.I: Resources, ; S.E.: writing\u0026mdash;review and editing, K.K.: conceptualization, supervision, methodology, writing\u0026mdash;review and editing. S.S.: writing\u0026mdash;review and editing, F.S.B.: conceptualization, supervision, methodology, writing\u0026mdash;review and editing. All authors have read and approved the final manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics Declaration\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConflict of Interest\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no conflict of interest.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent to Publish\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll authors have reviewed the manuscript and consent to its publication\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eZhao C, Liu B, Piao S, Wang X, Lobell DB, Huang Y, Asseng S et al (2017) Temperature increase reduces global yields of major crops in four independent estimates. Proc Natl Acad Sci USA 114:9326\u0026ndash;9331\u003c/li\u003e\n\u003cli\u003eWijerathna-Yapa A, Pathirana R (2022) Sustainable agro-food systems for addressing climate change and food security. 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Genet Resour Crop Evol 70:1867\u0026ndash;1877\u003c/li\u003e\n\u003cli\u003eHaliloğlu K, T\u0026uuml;rkoğlu A, \u0026Ouml;zt\u0026uuml;rk A, Niedbała G, Niazian M, Wojciechowski T, Piekutowska M (2023) Genetic diversity and population structure in bread wheat germplasm from T\u0026uuml;rkiye using iPBS-retrotransposons-based markers. Agronomy 13(1):255\u003c/li\u003e\n\u003cli\u003eGutaker RM, Purugganan MD (2024) Adaptation and the geographic spread of crop species. Annu Rev Plant Biol 75. https://doi.org/10.1146/annurev-arplant-080720-105210\u003c/li\u003e\n\u003cli\u003eZohary D, Hopf M, Weiss E (2012) Domestication of Plants in the Old World: The origin and spread of domesticated plants in Southwest Asia, Europe, and the Mediterranean Basin. Oxford University Press, Oxford\u003c/li\u003e\n\u003cli\u003eErskine W, Chandra S, Chaudhry M, Malik IA, Sarker A, Sharma B, et al (1998) A bottleneck in lentil: widening its genetic base in South Asia. 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Front Plant Sci 12:628439\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"molecular-biology-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"mole","sideBox":"Learn more about [Molecular Biology Reports](https://www.springer.com/journal/11033)","snPcode":"11033","submissionUrl":"https://submission.nature.com/new-submission/11033/3","title":"Molecular Biology Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Lentil, population structure, genetic diversity, scot markers, plant breeding, germplasm characterization","lastPublishedDoi":"10.21203/rs.3.rs-7075563/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7075563/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e\u003cp\u003eLentil (\u003cem\u003eLens culinaris\u003c/em\u003e) is widely cultivated for its edible seeds and plays an important role in food security and sustainable agriculture. Understanding genetic diversity and population structure of plant material is essential for their genetic resources in breeding programs and for guiding germplasm conservation efforts.\u003c/p\u003e\u003ch2\u003eMethods and results\u003c/h2\u003e\u003cp\u003eThis study evaluated the genetic variation and population structure of 96 lentil accessions using SCoT markers. A total of 440 bands were generated by 15 polymorphic primers, averaging 29.33 bands per primer. The overall polymorphism percentage was 93.38%. The diversity parameters including polymorphism information content (0.25\u0026ndash;0.86), effective number of alleles (1.28\u0026ndash;1.61), gene diversity (0.18\u0026ndash;0.36), and Shannon\u0026rsquo;s information index (0.29\u0026ndash;0.54) confirmed significant genetic variability in germplasm. The results from molecular variance analysis showed that 87% of the genetic variation occurs within populations. The STRUCTURE analysis partitioned the lentil accessions into 4 populations (A, B, C, and D). Principal coordinate analysis and neighbor-joining also distinguished the genotypes based on their collection sites.\u003c/p\u003e\u003ch2\u003eConclusion\u003c/h2\u003e\u003cp\u003eSCoT marker analysis showed significant genetic diversity among the lentil germplasm studied. The accessions Pakistan2 and Iran3 exhibited greater genetic distance which suggests their suitability as parent lines for use in future lentil improvement programs.\u003c/p\u003e","manuscriptTitle":"Unveiling genetic diversity and population structure in lentil (Lens culinaris) germplasm through SCoT markers","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-07-11 09:51:55","doi":"10.21203/rs.3.rs-7075563/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2025-07-14T17:09:27+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-07-10T12:35:45+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-07-10T07:19:18+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"34140980309431295570294470545142970078","date":"2025-07-10T05:16:13+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"255259681077619309274847750007638822780","date":"2025-07-09T17:18:26+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-07-09T14:39:29+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-07-09T12:04:11+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-07-09T12:04:07+00:00","index":"","fulltext":""},{"type":"submitted","content":"Molecular Biology Reports","date":"2025-07-08T13:45:24+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"molecular-biology-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"mole","sideBox":"Learn more about [Molecular Biology Reports](https://www.springer.com/journal/11033)","snPcode":"11033","submissionUrl":"https://submission.nature.com/new-submission/11033/3","title":"Molecular Biology Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"d45da96f-66b2-40c4-9637-c6f0791e1827","owner":[],"postedDate":"July 11th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2025-08-04T16:38:56+00:00","versionOfRecord":{"articleIdentity":"rs-7075563","link":"https://doi.org/10.1007/s11033-025-10876-7","journal":{"identity":"molecular-biology-reports","isVorOnly":false,"title":"Molecular Biology Reports"},"publishedOn":"2025-07-29 16:04:52","publishedOnDateReadable":"July 29th, 2025"},"versionCreatedAt":"2025-07-11 09:51:55","video":"","vorDoi":"10.1007/s11033-025-10876-7","vorDoiUrl":"https://doi.org/10.1007/s11033-025-10876-7","workflowStages":[]},"version":"v1","identity":"rs-7075563","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7075563","identity":"rs-7075563","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}