Pectobacterium sinaloense sp. nov., a novel phytopathogenic species isolated from potato plants in Mexico

preprint OA: closed
📄 Open PDF Full text JSON View at publisher
Full text 63,155 characters · extracted from preprint-html · click to expand
Pectobacterium sinaloense sp. nov., a novel phytopathogenic species isolated from potato plants in Mexico | bioRxiv /* */ /* */ <!-- <!-- /*! * yepnope1.5.4 * (c) WTFPL, GPLv2 */ (function(a,b,c){function d(a){return"[object Function]"==o.call(a)}function e(a){return"string"==typeof a}function f(){}function g(a){return!a||"loaded"==a||"complete"==a||"uninitialized"==a}function h(){var a=p.shift();q=1,a?a.t?m(function(){("c"==a.t?B.injectCss:B.injectJs)(a.s,0,a.a,a.x,a.e,1)},0):(a(),h()):q=0}function i(a,c,d,e,f,i,j){function k(b){if(!o&&g(l.readyState)&&(u.r=o=1,!q&&h(),l.onload=l.onreadystatechange=null,b)){"img"!=a&&m(function(){t.removeChild(l)},50);for(var d in y[c])y[c].hasOwnProperty(d)&&y[c][d].onload()}}var j=j||B.errorTimeout,l=b.createElement(a),o=0,r=0,u={t:d,s:c,e:f,a:i,x:j};1===y[c]&&(r=1,y[c]=[]),"object"==a?l.data=c:(l.src=c,l.type=a),l.width=l.height="0",l.onerror=l.onload=l.onreadystatechange=function(){k.call(this,r)},p.splice(e,0,u),"img"!=a&&(r||2===y[c]?(t.insertBefore(l,s?null:n),m(k,j)):y[c].push(l))}function j(a,b,c,d,f){return q=0,b=b||"j",e(a)?i("c"==b?v:u,a,b,this.i++,c,d,f):(p.splice(this.i++,0,a),1==p.length&&h()),this}function k(){var a=B;return a.loader={load:j,i:0},a}var l=b.documentElement,m=a.setTimeout,n=b.getElementsByTagName("script")[0],o={}.toString,p=[],q=0,r="MozAppearance"in l.style,s=r&&!!b.createRange().compareNode,t=s?l:n.parentNode,l=a.opera&&"[object Opera]"==o.call(a.opera),l=!!b.attachEvent&&!l,u=r?"object":l?"script":"img",v=l?"script":u,w=Array.isArray||function(a){return"[object Array]"==o.call(a)},x=[],y={},z={timeout:function(a,b){return b.length&&(a.timeout=b[0]),a}},A,B;B=function(a){function b(a){var a=a.split("!"),b=x.length,c=a.pop(),d=a.length,c={url:c,origUrl:c,prefixes:a},e,f,g;for(f=0;f<d;f++)g=a[f].split("="),(e=z[g.shift()])&&(c=e(c,g));for(f=0;f<b;f++)c=x[f](c);return c}function g(a,e,f,g,h){var i=b(a),j=i.autoCallback;i.url.split(".").pop().split("?").shift(),i.bypass||(e&&(e=d(e)?e:e[a]||e[g]||e[a.split("/").pop().split("?")[0]]),i.instead?i.instead(a,e,f,g,h):(y[i.url]?i.noexec=!0:y[i.url]=1,f.load(i.url,i.forceCSS||!i.forceJS&&"css"==i.url.split(".").pop().split("?").shift()?"c":c,i.noexec,i.attrs,i.timeout),(d(e)||d(j))&&f.load(function(){k(),e&&e(i.origUrl,h,g),j&&j(i.origUrl,h,g),y[i.url]=2})))}function h(a,b){function c(a,c){if(a){if(e(a))c||(j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}),g(a,j,b,0,h);else if(Object(a)===a)for(n in m=function(){var b=0,c;for(c in a)a.hasOwnProperty(c)&&b++;return b}(),a)a.hasOwnProperty(n)&&(!c&&!--m&&(d(j)?j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}:j[n]=function(a){return function(){var b=[].slice.call(arguments);a&&a.apply(this,b),l()}}(k[n])),g(a[n],j,b,n,h))}else!c&&l()}var h=!!a.test,i=a.load||a.both,j=a.callback||f,k=j,l=a.complete||f,m,n;c(h?a.yep:a.nope,!!i),i&&c(i)}var i,j,l=this.yepnope.loader;if(e(a))g(a,0,l,0);else if(w(a))for(i=0;i (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];var j=d.createElement(s);var dl=l!='dataLayer'?'&l='+l:'';j.src='//www.googletagmanager.com/gtm.js?id='+i+dl;j.type='text/javascript';j.async=true;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-M677548'); Skip to main content Home About Submit ALERTS / RSS Search for this keyword Advanced Search New Results Pectobacterium sinaloense sp. nov., a novel phytopathogenic species isolated from potato plants in Mexico Jose Luis Valdez-Lopez , Noe Leonardo Palafox-Leal , Glenda Santos-Lopez , Elisa Ines Fantino , Irena Kukavica , Roger C. Levesque , Jesús Méndez-Lozano , Carlos Ignacio Mora-Zamudio , Edgar Antonio Rodríguez-Negrete , Maria Elena Santos-Cervantes , Norma Elena Leyva-Lopez , View ORCID Profile Edel Pérez-López doi: https://doi.org/10.1101/2025.06.20.660644 Jose Luis Valdez-Lopez 1 Instituto Politécnico Nacional, CIIDIR-Sinaloa, Departamento de Biotecnología Agrícola , Guasave, Sinaloa, Mexico 2 Département de phytologie, Faculté des sciences de l’agriculture et de l’alimentation, Université Laval , Québec City Québec, Canada 3 Centre de recherche et d’innovation sur les végétaux, Université Laval , Québec City Québec, Canada 4 Institute de Biologie Intégrative et des Systèmes (IBIS), Université Laval , Québec City Québec, Canada 5 L’Institute EDS, Université Laval , Quebec City, Québec City, Québec, Canada Find this author on Google Scholar Find this author on PubMed Search for this author on this site Noe Leonardo Palafox-Leal 1 Instituto Politécnico Nacional, CIIDIR-Sinaloa, Departamento de Biotecnología Agrícola , Guasave, Sinaloa, Mexico Find this author on Google Scholar Find this author on PubMed Search for this author on this site Glenda Santos-Lopez 1 Instituto Politécnico Nacional, CIIDIR-Sinaloa, Departamento de Biotecnología Agrícola , Guasave, Sinaloa, Mexico Find this author on Google Scholar Find this author on PubMed Search for this author on this site Elisa Ines Fantino 2 Département de phytologie, Faculté des sciences de l’agriculture et de l’alimentation, Université Laval , Québec City Québec, Canada 3 Centre de recherche et d’innovation sur les végétaux, Université Laval , Québec City Québec, Canada 4 Institute de Biologie Intégrative et des Systèmes (IBIS), Université Laval , Québec City Québec, Canada 5 L’Institute EDS, Université Laval , Quebec City, Québec City, Québec, Canada Find this author on Google Scholar Find this author on PubMed Search for this author on this site Irena Kukavica 4 Institute de Biologie Intégrative et des Systèmes (IBIS), Université Laval , Québec City Québec, Canada 6 Département de microbiologie-infectiologie et d’immunologie, Faculté de médecine, Université Laval , Québec City Québec, Canada Find this author on Google Scholar Find this author on PubMed Search for this author on this site Roger C. Levesque 4 Institute de Biologie Intégrative et des Systèmes (IBIS), Université Laval , Québec City Québec, Canada 6 Département de microbiologie-infectiologie et d’immunologie, Faculté de médecine, Université Laval , Québec City Québec, Canada Find this author on Google Scholar Find this author on PubMed Search for this author on this site Jesús Méndez-Lozano 1 Instituto Politécnico Nacional, CIIDIR-Sinaloa, Departamento de Biotecnología Agrícola , Guasave, Sinaloa, Mexico Find this author on Google Scholar Find this author on PubMed Search for this author on this site Carlos Ignacio Mora-Zamudio 7 RH PRODUCE , Los Mochis, Sinaloa, Mexico Find this author on Google Scholar Find this author on PubMed Search for this author on this site Edgar Antonio Rodríguez-Negrete 1 Instituto Politécnico Nacional, CIIDIR-Sinaloa, Departamento de Biotecnología Agrícola , Guasave, Sinaloa, Mexico Find this author on Google Scholar Find this author on PubMed Search for this author on this site Maria Elena Santos-Cervantes 1 Instituto Politécnico Nacional, CIIDIR-Sinaloa, Departamento de Biotecnología Agrícola , Guasave, Sinaloa, Mexico Find this author on Google Scholar Find this author on PubMed Search for this author on this site For correspondence: neleyval{at}ipn.mx msantos{at}ipn.mx edel.perez-lopez.1{at}ulaval.ca Norma Elena Leyva-Lopez 1 Instituto Politécnico Nacional, CIIDIR-Sinaloa, Departamento de Biotecnología Agrícola , Guasave, Sinaloa, Mexico Find this author on Google Scholar Find this author on PubMed Search for this author on this site For correspondence: neleyval{at}ipn.mx msantos{at}ipn.mx edel.perez-lopez.1{at}ulaval.ca Edel Pérez-López 2 Département de phytologie, Faculté des sciences de l’agriculture et de l’alimentation, Université Laval , Québec City Québec, Canada 3 Centre de recherche et d’innovation sur les végétaux, Université Laval , Québec City Québec, Canada 4 Institute de Biologie Intégrative et des Systèmes (IBIS), Université Laval , Québec City Québec, Canada 5 L’Institute EDS, Université Laval , Quebec City, Québec City, Québec, Canada Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Edel Pérez-López For correspondence: neleyval{at}ipn.mx msantos{at}ipn.mx edel.perez-lopez.1{at}ulaval.ca Abstract Full Text Info/History Metrics Supplementary material Preview PDF ABSTRACT As part of a broader effort to survey and characterize the diversity of pectolytic bacteria affecting potato crops in Mexico, phytopathogenic strains were isolated from soft rot symptoms in potato plants in Sinaloa. Among them, an atypical Pectobacterium -like strain, LFLA-215 T , could not be confidently assigned to any known species through biochemical or molecular methods. To clarify its taxonomic position and explore its genomic and functional features, whole-genome sequencing and comparative analyses were conducted, accompanied by biochemical, morphological and pathogenicity evaluations. The strain LFLA-215 T is Gram-stain-negative, with peritrichous flagella, catalase-positive, and oxidase-negative. Phylogenetic analyses based on the 16S rRNA operon, dnaJ , and 923 core genes, confirmed that strain LFLA-215 T belongs to the genus Pectobacterium . However, genomic similarity values with other Pectobacterium species, ranging from 87.73–93.53% (ANIb), 87.63–93.46% (ANIu), and 34.0–52.1% (isDDH), fell below species delineation thresholds. Pectobacterium colocasium LJ1 T showed the closest relationship to LFLA-215 T , whereas Pectobacterium parmentieri RNS 08-42-1A T was the most distantly related. Although LFLA-215 T fulfilled Koch’s postulates and demonstrated pathogenicity in potato plants, its virulence on tubers was comparatively lower than that of other known Pectobacterium strains, which could be related to the size and the reduction of the total number of genes when analyzed its complete genome reported here. Taken all together, our findings support the classification of strain LFLA-215 T as a novel species within the genus Pectobacterium , for which the name Pectobacterium sinaloense sp. nov. is proposed, with LFLA-215 T designated as the type strain. INTRODUCTION Over the last decade, soft-rot causing Pectobacterium species have ranked among the top ten most studied plant pathogenic bacteria ( Mansfield et al., 2012 ). With a broad host range, affecting nearly 35% of angiosperms, these bacterial phytopathogens are responsible for soft rot diseases in many economically important crops, leading to estimated annual losses of $1 billion and threatening food security and the global economy ( Domingo et al., 2021 ; Marquez-Villavicencio et al., 2011 ). In potato ( Solanum tuberosum L.), they cause soft rot, blackleg, wilt, and aerial stem rot ( Toth et al., 2021 ). Their pathogenicity relies on a diverse arsenal of plant cell wall-degrading enzymes (PCWDEs) such as pectinases, cellulases, proteases, which enable tissue maceration ( Oulghazi et al., 2019 ; Waleron et al., 2019 ). Although Pectobacterium is not considered a stealth pathogen, it can benefit from stealth-like strategies, including the induction of host susceptibility responses and the formation of heterogeneous populations with specialized roles ( Gorshkov & Parfirova, 2023 ; Panda et al., 2016 ). Disease development is further promoted by environmental conditions such as high humidity, elevated temperatures, and hypoxia due to waterlogged soils ( Maciag et al., 2024 ). Recently, the taxonomy of Pectobacterium has undergone extensive revisions, driven by advances in phylogenomic analyses ( Oulghazi et al., 2019 ; Pasanen et al., 2020 ; Portier et al., 2019 , 2020 ; Sawada et al., 2024 ). As of March 2025, the List of Prokaryotic Names with Standing in Nomenclature (LPSN) recognizes 22 validly published Pectobacterium species ( Parte et al., 2020 ). Among them, P. cacticida has been reclassified under a new genus as Alcorniella cacticida comb. nov. ( Jonca et al., 2024 ), while P. carnegieanum is considered likely to fall out of use due to the lack of a valid type strain ( Young, 2011 ). Despite these developments, Pectobacterium remains a dynamic taxonomic group, with ongoing efforts to resolve its diversity and evolutionary relationships. In Mexico, potato cultivation is a key pillar of national agriculture, with an annual production value nearing one billion dollars. The state of Sinaloa alone accounts for over 21.5% of the country’s total production ( SIAP, 2024 ). However, Pectobacterium species remain a persistent threat in this region, causing significant damage to potato crops ( Palafox-Leal et al., 2024 ; Santos-Cervantes et al., 2024 ; Valdez-Lopez et al., 2025 ). As part of a broader effort to survey and characterize the diversity of pectolytic bacteria affecting potato in Mexico, several Pectobacterium strains were isolated. Preliminary phenotypic and genotypic analyses identified one atypical strain, LFLA-215 T , with reduced virulence that could not be assigned to any currently known Pectobacterium species. This strain was isolated in January-2020 from a potato stem sample showing blackleg symptoms collected in Ahome, Sinaloa, Mexico (25.8656 N, 108.9249 W). To clarify its taxonomic status and explore its genomic and functional traits, we conducted whole-genome sequencing, comparative genomics, and phenotypic characterization including biochemical, morphological, pathogenicity, and virulence assays. Our results support the designation of this isolate as a novel species, for which we propose the name Pectobacterium sinaloense sp. nov. GENOMIC FEATURES OF STRAIN LFLA-215 T For whole-genome sequencing, strain LFLA-215 T was grown in Luria-Bertani (LB) broth at 28 °C for 18 h. Genomic DNA was extracted using the lysis buffer described by Chen and Kuo (1993) , followed by alcohol precipitation. A hybrid sequencing approach combining Oxford Nanopore Technologies (ONT) and Illumina platforms was employed. ONT libraries were prepared using the v14 chemistry kit, and raw reads (2.1 Gbp) were filtered with Filtlong v0.2.1 (default parameters; https://github.com/rrwick/Filtlong ), resulting in a high-quality read (HQR) subset of 457 Mbp. Assembly was performed using Flye v2.9.1 ( Kolmogorov et al., 2019 ) with the HQR subset and parameters optimized for long read data. The resulting assembly was polished with Medaka v1.8.0 ( Oxford Nanopore Technologies Ltd., 2018 ) using the same HQR subset. Illumina reads over 2.4 Gbp, were then used for additional polishing with Polypolish v0.6.0 ( Bouras et al., 2024 ). Annotation of the LFLA-215⍰ genome was conducted using the Nextflow Mettannotator Pipeline v1.3, a comprehensive framework that integrates multiple tools and databases for functional and structural genome characterization ( Table S1 ) ( Gurbich et al., 2025 ). The pipeline was executed with the -bakta parameter. Genome completeness was assessed using the Pectobacterium -specific dataset integrated into CheckM v1.2.3 ( Parks et al., 2015 ). Secretion system types I, II, III, IV, and VI were predicted using a pipeline developed for Gram-negative bacteria, which incorporates MacSyFinder v2 ( Zhang et al., 2023 ; Néron et al., 2023 ). In addition, a manual curation of the merged annotation output from Mettannotator v1.3 was performed to identify genes encoding plant cell wall-degrading enzymes (PCWDEs) and potential toxins. The genome of strain LFLA-215 T ( Figure 1A-B , Table S2 ) was assembled at the chromosome level, with a final coverage of 632x, and no plasmids detected. It spans 4,522,015 bp with a G+C content of 51.6 %. A total of 4,043 protein-coding sequences were annotated, resulting in a coding density of 0.86; among these, 164 were classified as hypothetical proteins. Additionally, 77 tRNAs and 22 rRNAs were identified. Genome quality assessment using CheckM indicated 93.33% completeness and 0.44% contamination. The relatively low completeness score likely reflects the limited representation of the Pectobacterium genomes in the CheckM reference dataset, which includes only five genomes. Download figure Open in new tab Figure 1. Chromosomal architecture and functional annotation of Pectobacterium sinaloense LFLA-215. (A) Circos plot generated with pyCirclize 1.4.0 ( Shimoyama, Y., 2022 ), depicting chromosomal features, arranged from outer to inner rings: sequence coordinates, coding sequences (CDS) on positive/negative strands, RNA features, biosynthetic gene clusters (BGCs) predicted by antiSMASH, GECCO, and SanntiS, polysaccharide utilization loci (PULs), plant cell wall-degrading enzymes (PCWDEs) genes, type I, II, III, and VI secretion systems (TXSS), toxin genes, antimicrobial resistance (AMR) determinants and anti-phage defense systems. (B) Summary table of genome assembly metrics, completeness (using CheckM), and annotation statistics. Key genomic features of LFLA-215⍰ include biosynthetic gene clusters (BGCs) and polysaccharide utilization loci (PULs) ( Table S3 ). BGCs were detected using antiSMASH ( Blin et al., 2023 ), Gecco ( Carroll et al., 2021 ), and SanntiS ( Sanchez et al., 2023 ), revealing clusters involved in the biosynthesis of β-lactone-containing protease inhibitors, thiopeptides, non-ribosomal peptide synthetase (NRPS)-Type I polyketide synthase (T1PKS) hybrids, NRPS-metallophores, and NRPS-independent IucA/IucC-like siderophores (NI-siderophores) ( Table S3 ). These clusters likely provide competitive advantages by enabling the production of bioactive molecules such as antibiotics, toxins, or siderophores which support microbial competition and niche establishment. A genomic region associated with the homoserine lactone production was also identified. These molecules function as quorum sensing (QS) signals, regulating the expression of genes linked to virulence, biofilm formation, and coordinated behavior. In Pectobacterium , QS has been shown to control over 70 regulatory elements, including those governing PCWDE production and type I, II, III, and VI secretion systems ( Liu et al., 2008 ; Van Gijsegem et al., 2021 ). PULs were predicted using dbCAN3 ( Zheng et al., 2023 ), revealing 63 loci associated with the degradation of various carbohydrates. Substrate-specific PULs included those targeting pectin (10), cellobiose (4), levoglucosan (3), xylan (3), host glycans (2), galactan (2), starch (2), and one locus each for arabinan, β-glucoside, capsular polysaccharide, cellulose, chitin, glycogen, glycosaminoglycan, and melibiose and 29 with no description available ( Table S3 ). In parallel, 33 coding sequences corresponding to PCWDEs were identified, including 27 pectinases, two cellulases, and four proteases ( Table S4 ). Notably, most of these genes were co-localized within PULs predicted by dbCAN3 ( Figure 1A ), suggesting that PUL prediction tools can be leveraged to discover novel PCWDEs based on substrate specificity and conserved catalytic domains. The dominance of pectinases in the PCWDEs repertoire aligns with previous findings that Pectobacterium species harbor an expanded set of pectin-degrading enzymes compared to other soft rot pathogens ( Jonkheer et al., 2021 ), a feature likely contributing to the genus’s aggressive maceration phenotype. An important pathogenicity-related feature of Pectobacterium species is the presence of multiple secretion systems and associated toxins. In strain LFLA-215⍰, six secretion systems were identified ( Table S4 ): three type I (T1SS), and one each of type II (T2SS), type III (T3SS), and type VI (T6SS). No type IV secretion system (T4SS) was detected through either automated or manual screening. Secretion systems are considered the second most critical virulence determinants in Pectobacterium , after PCWDEs ( Arizala & Arif, 2019 ; Van Gijsegem et al., 2021 ). In total, 34 toxin-related genes were identified ( Table S4 ), including the well-characterized necrosis-inducing protein Nip , a conserved protein that promotes plant cell death and facilitates disease progression ( Charkowski et al., 2012 ). These elements, PCWDEs, secretion systems (TXSS), and toxins, form the core arsenal driving soft rot pathogenicity in Pectobacterium ( Xu et al., 2021 ). Beyond virulence, other functional categories were annotated. AMRFinderPlus ( Feldgarden et al., 2021 ) identified three genes linked to streptogramin, acid, and arsenate resistance, which may offer baseline protection against environmental stressors. Additionally, DefenseFinder ( Tesson et al., 2022 ) detected 38 genes spanning 11 distinct prokaryotic antiviral defense systems ( Table S3 ). The presence of these antiviral defense systems suggests LFLA-215⍰ is equipped to withstand phage infection, likely contributing to its genomic stability in competitive ecological niches. TAXONOMIC PLACEMENT OF STRAIN LFLA-215 T For preliminary taxonomic identification, the complete 16S rRNA gene sequence of strain LFLA-215⍰ (GenBank accession number: PV590475.1 ) was extracted from the genome annotation file and queried against the NCBI RefSeq genome database using BLASTn. The highest similarity was found within the Pectobacterium genus, showing 100% identity and 100% coverage with Pectobacterium sp. strain CFBP8739 (accession number: GCF_013449375.1), a strain that currently lacks species-level classification. Additional high-scoring hits included Pectobacterium strains CSR2 and CSR3 (GenBank accession numbers: GCF_048593165.1 and GCF_048593175.1), both annotated as Pectobacterium colocasium , showing 99.55% identity with strain LFLA-215⍰. All other matches exhibited lower identity values. Given these results, and the lack of peer-reviewed publications validating strains CFBP8739, CSR2, and CSR3, additional analyses were conducted to further clarify the taxonomic placement of strain LFLA-215⍰ within the Pectobacterium genus. Genome-scale taxonomic comparisons of strain LFLA-215 T were performed using in silico DNA-DNA hybridization ( is DDH) via the Type Strain Genome Server (TYGS; https://tygs.dsmz.de ), applying the recommended distance formula d4 ( Meier-Kolthoff & Göker, 2019 ). In addition, average nucleotide identity (ANI) was calculated using both OrthoANI USEARCH (ANIu) and OrthoANI BLAST-based (ANIb) algorithms ( Lee et al., 2016 ; Yoon et al., 2017 ). These three methods, is DDH, ANIb, and ANIu, were used to compare LFLA-215 T with strains CFBP8739, CSR2, CSR3, as well as with the type strains of all validly described Pectobacterium species, and representative species from other genera within the Pectobacteriaceae family ( Table 1 ). Budvicia aquatica strain FDAARGOS_387 T was included as an outgroup ( Table 1 ). View this table: View inline View popup Table 1. Genomic relationship between strain Pectobacterium sinaloense LFLA-215 T and closely related strains. The results showed that LFLA-215 T exhibited ANIb, ANIu, and is DDH values of 99.06-98.87%, 99.09-98.89%, and 90.8-89.1%, respectively, when compared with CFBP8739, CSR2 and CSR3, well above the accepted species delineation thresholds of 95-96% for ANI and 70% for is DDH ( Table 1 ) ( Chun et al., 2018 ). None of the other tested species within the Pectobacteriaceae exceeded these thresholds. Among them, Pectobacterium species displayed the highest similarity values, ranging from 87.73-93.53% for ANIb, 87.63-93.46% for ANIu, and 34.0-52.1% for is DDH ( Table 1 ). Pectobacterium colocasium LJ1 T was the closest relative to LFLA-215 T , while Pectobacterium parmentieri RNS 08-42-1A T was the most distantly related ( Table 1 ). These findings support the classification of LFLA-215 T , along CFBP8739, CSR2 and CSR3, as members of a novel species within the Pectobacterium genus. We propose the name Pectobacterium sinaloense sp. nov., in reference to the agriculturally productive region of Sinaloa, Mexico, where strain LFLA-215⍰ was isolated. To further clarify the phylogenetic position of this novel taxon, multiple analyses were conducted using distinct molecular markers. Sequences for the 16S rRNA operon and dnaJ gene were aligned using ClustalW, as implemented in MEGA 11 ( Tamura et al., 2021 ), incorporating sequences from 40 strains (representing 37 species) ( Table 1 ). In addition, a core genome alignment was generated using Roary ( Page et al., 2015 ), applying a 70% protein identity threshold and requiring 100% gene presence across all genomes. Prior to this step, all 40 genomes were de novo re-annotated using Bakta v1.9.4 (Deposited in Zenodo) ( Schwengers et al., 2021 ). Phylogenetic trees based on 16S rRNA, dnaJ , and core genome alignments were inferred using IQ-TREE v3.0.0. Model selection was conducted with ModelFinder, and maximum-likelihood trees were generated with 1,000 ultrafast bootstrap replicates ( Kalyaanamoorthy et al., 2017 ; Hoang et al., 2018 ; Wong et al., 2025 ). The phylogenetic analyses confirmed the taxonomic status of P . sinaloense sp. nov. within the Pectobacteriaceae family ( Figs. 2 , S1, S2). In all three analyses, strain LFLA-215 T consistently clustered with CFBP8739, CSR2, and CSR3, positioning the proposed species firmly within the Pectobacterium genus. Furthermore, the P. sinaloense strains consistently formed a heterogeneous clade with P. colocasium LJ1 T and P. aroidearum L6 T , suggesting these taxa share a common ancestor. The core genome analysis, based on 926 core genes and encompassing 989,863 nucleotide sites, 41.02% of which were parsimony-informative, grouped all Pectobacterium type strains into a single clade with 100% ultrafast bootstrap support ( Figure 2 ). Similarly, the dnaJ gene analysis ( Figure S1 ) yielded a consistent clustering pattern, supported by a 97% bootstrap value. In contrast, the 16S rRNA-based analysis ( Figure S2 ) failed to clearly resolve the Pectobacterium clade, showing overlap with the genus Alcorniella (formerly Pectobacterium spp.) ( Jonca et al., 2024 ), and with S. erythrinae DSM 16730 T , both representing the closest relatives to Pectobacterium . Additionally, bootstrap support values in the 16S rRNA tree were notably lower than those in the dnaJ and core-gene trees. These findings align with the observations of Mainello-Land et al. (2024) , who demonstrated that the dnaJ gene has nearly six times the discriminatory power of the 16S rRNA operon when resolving relationships within the Pectobacteriaceae genera Dickeya and Pectobacterium. Download figure Open in new tab Figure 2. Maximum-likelihood phylogenomic tree reconstructed based on the concatenated alignment of 926 core genes, showing the relationships between Pectobacterium sinaloense LFLA-215 (bold type) and closely related strains from the family Pectobacteriaceae (listed in Table 1 ). The total alignment length was 989,863 bp and included 40 sequences, with 41.02% parsimony-informative sites. Phylogenetic inference was performed using IQ-TREE v3.0.0 under the GTR+F+I+R7 model with 1,000 ultrafast bootstrap replicates. Ultrafast bootstrap values are indicated at the nodes (only values ≥60 are shown). Pectobacterium clade is highlighted in magenta. Budvicia aquatica FDAARGOS_387 was used as an outgroup. PHENOTYPIC CHARACTERIZATION OF STRAIN LFLA-215 T To evaluate the phenotypic traits of strain LFLA-215 T , a series of routine tests commonly used for Pectobacterium species were conducted (Palafox et al., 2024; Silva et al., 2020 ). These included Gram staining, catalase and oxidase activity, growth at 28⍰°C and 37⍰°C, fluorescence production on B-King medium, and pectolytic activity on potato slices. Motility was assessed using the protocol described by Shields and Cathcart (2011) , while osmotic tolerance was tested by culturing the strain in LB broth supplemented with NaCl at concentrations of 1%, 4%, and 8%, and adjusted to pH values of 5, 6, 7, and 8. Colony and cellular morphology were examined by streaking bacteria onto LB agar and incubating at 28⍰°C; colony images were captured after 24 h. Ultrastructural analysis was performed using transmission electron microscopy (TEM) with a JEOL 2100Plus (Jeol, Japan) at 200 kV and 10,000× magnification. Carbon source utilization and chemical sensitivity were evaluated using BIOLOG Phenotypic Microarray (PM) plates 1, 2, 11C, 12B, 15B, 16A, 17A, 18C, and 20B, following the manufacturer’s instructions. Kinetic responses were recorded over a 72-h period in a BIOLOG OmniLog reader (Biolog, USA), and analyzed using BIOLOG Data Analysis Software 1.7. Assays were performed in duplicate (n = 2 for carbon source assays; n = 8 for chemical sensitivity), and only consistent, reproducible results were kept. Comparative phenotypic data from Pectobacterium species, including the most closely related species ( P. aroidearum and P. colocasium ), were retrieved from Zhou et al. (2022) and Hong et al. (2023) . Pathogenicity and virulence were evaluated on plants and potato tubers, respectively. The strain LFLOG-78 of Pectobacterium versatile, previously characterized by us, was included as control ( Valdez-Lopez et al., 2025 ). Pathogenicity assays were performed as previously described ( Valdez-Lopez et al., 2025 ). Bacterial suspensions (10⍰mM MgSO 4 , OD₆₀₀ = 0.8, approximately 10⁸⍰CFU/mL) were injected into the stems of 5-week-old potato plants (cv. Fianna). Each treatment included three plants, along with negative controls inoculated with sterile 10⍰mM MgSO₄. Plants were maintained at 28⍰°C with 80% relative humidity, and symptoms were monitored daily for one week. Koch’s postulates were fulfilled by re-isolating and identifying the inoculated bacteria. For virulence assays, bacterial suspensions preparation, tuber inoculation, and incubation were carried out as previously described ( Han et al., 2023 ). Cultures were incubated for 18⍰h, centrifugated, washed with 10⍰mM MgSO 4 , and resuspended in the same buffer to an OD 600 of 0.27. Potato tubers (cv. Fianna) were punctured with a 1000⍰µL pipette tip and 50⍰µL of the bacterial suspension was applied to each wound. Eight tubers were used per isolate, and five were mock-inoculated with buffer as controls. Wounds were sealed with vaseline, and tubers were wrapped in sterile, moistened paper and incubated in plastic containers at room temperature (23–25⍰°C) in darkness for 72⍰h. Tubers were then sliced, and the macerated tissue was scraped and weighed. Control values were used to normalize decay in treated samples. The experiment was repeated twice, and statistical significance was assessed using the Kruskal–Wallis test followed by Dunn’s post hoc test with Bonferroni correction. After 24⍰h of incubation on LB agar at 28⍰°C, strain LFLA-215 T formed small (1–2⍰mm diameter), circular, opaque colonies with a white-beige coloration, entire margins, convex elevation, and a moist surface. No diffusible pigment production was observed ( Figure 3A ). Strain LFLA-215 T was also characterized as a Gram-negative, rod-shaped bacterium measuring 4.3 ± 0.9 µm in length and 1.31 ± 0.09 µm in width, with peritrichous flagella ( Figure 3B , Table S5 ). Motility, catalase activity, and pectolytic activity on potato slices were confirmed, whereas oxidase activity and fluorescence on B-king medium were not detected. The strain grew well in LB broth at both 28⍰°C and 37⍰°C, as well as in media supplemented with 1% NaCl and at pH values ranging from 4 to 8. No growth was observed at 4% or 8% NaCl. Download figure Open in new tab Figure 3. Colony and cellular morphology of Pectobacterium sinaloense LFLA-215. (A) Colony morphology on LB agar after incubation at 28⍰°C for 24⍰h. Colonies are small (1–2⍰mm in diameter), circular, opaque, and white-beige in color, with entire margins, convex elevation, moist surfaces, and no diffusible pigment production. (B) Transmission electron micrograph, showing a rod-shaped cell with peritrichous flagella. Strain LFLA-215⍰ tested positive for the utilization of a broad spectrum of carbon sources, including various sugars, amino acids, sugar alcohols, organic acids, cyclodextrins, and complex polysaccharides such as pectin, inulin, glycogen, and laminarin. This extensive metabolic versatility includes substrates like L-arabinose, D-galactose, D-glucuronic acid, D-mannose, glycerol, L-proline, sucrose, maltose, and N-acetyl-D-glucosamine, among others ( Tables 2 , S6 ). The strain tested negative for the utilization of propionic acid, capric acid, and D-serine. Weak positive reactions were observed for α-ketobutyric acid, 2-hydroxybenzoic acid, itaconic acid, L-methionine, and 2,3-butanedione ( Tables 2 , S6 ). In chemical sensitivity tests, LFLA-215⍰ exhibited resistance to a wide range of antibiotics and compounds, including amikacin, bleomycin, capreomycin, neomycin, gentamicin, kanamycin, polymyxin B, paromomycin, vancomycin, DL-serine hydroxamate, sisomicin, and sulfamethazine, among others ( Table S6 ). Susceptibility was observed to chlortetracycline, amoxicillin, cloxacillin, lomefloxacin, minocycline, demeclocycline, cephalothin, ofloxacin, penicillin G, fusidic acid, and others ( Table S6 ). Weak growth was observed in the presence of erythromycin, tetracycline, 5-fluoroorotic acid, spiramycin, dodecyltrimethyl ammonium bromide, and related compounds ( Table S6 ). Key phenotypic features distinguishing Pectobacterium sinaloense LFLA-215 T from other closely related Pectobacterium species were identified ( Table 2 ). All compared strains showed growth at 1% NaCl, pH 6, D-saccharic acid, mucic acid, D-galacturonic acid, α-D-glucose, D-mannose, D-fructose, D-galactose, gentiobiose, sucrose, α-D-lactose, β-methyl-D-glucoside, D-salicin, N-acetyl-D-glucosamine, myo-Inositol, D-mannitol, glycerol, D-glucose-6-PO4, D-fructose-6-PO4, D-aspartic acid, L-aspartic acid, L-serine and pectin. Conversely, no growth was observed with propionic acid and D-serine. View this table: View inline View popup Table 2. Phenotypic characteristics that differentiate Pectobacterium sinaloense LFLA-215 T from closely related Pectobacterium species. Comparative data were obtained from Zhou et al. (2022) for P. colocasium LJ1 T and P. aroidearum LJ2, and from Hong et al. (2023) for P. jejuense 13-115 T , P. brasiliense CFBP 6617, P. carotovorum CFBP 2046, P. polare CFBP 8603, and P. parvum CFBP 8630. The pathogenicity of Pectobacterium sinaloense LFLA-215 T was confirmed on potato plants ( Figure S3A-E ). Inoculated stems and nearby aerial parts (petioles) exhibited blackening and decay ( Figure S3C-E ), though symptoms only appeared after 6 days post-inoculation, significantly later than those caused by Pectobacterium versatile LFLOG-78, where symptoms were visible within 72 h post-inoculation ( Figure S3B ). Similarly, in potato tuber maceration assays, P. sinaloense LFLA-215 T demonstrated reduced tissue degradation capacity, macerating an average of 2.52 g of potato tuber after 72 h, compared to 6.0 g by P. versatile ( Figure S3F ). The delayed symptom development (6 days vs. 72 h) and lower maceration efficiency suggest that while LFLA-215 T is pathogenic, it exhibits attenuated virulence compared to P. versatile LFLOG-78, a member of the P. carotovorum complex. This phenotypic disparity may correlate with LFLA-215 T ‘s reduced genome, which ranks at the 8th percentile for size (4.52 Mbp) and 11th percentile for gene count among all Pectobacterium genomes with complete chromosome assemblies ( Figure S4 ). The genome’s compact architecture, lacking approximately 200–300 genes present in more virulent relatives, could explain its delayed symptom progression and reduced aggressiveness. FUNCTIONAL GENOMIC ANALYSES OF STRAIN LFLA-215 T Functional annotation of strain LFLA-215 T genes was performed using BlastKOALA ( Kanehisa et al., 2016 ), which assigns KEGG Orthology (KO) identifiers through BLAST searches against the non-redundant KEGG database ( www.kegg.jp ). This enabled the reconstruction of KEGG pathways, BRITE hierarchies, and modules, facilitating inference of high-level biological functions. Out of all annotated genes, 2,702 (66.8%) were assigned KO identifiers, allowing the reconstruction of 95 complete KEGG pathway modules. These spanned major functional categories such as carbohydrate, nitrogen, lipid, nucleotide, amino acid, and sulfur metabolism, as well as carbon fixation, ATP synthesis, and the biosynthesis of terpenoids and polyketides ( Table S7 ). The most represented category was metabolism, particularly carbohydrate metabolism with 325 genes. This was followed by environmental information processing, with a strong presence in membrane transport (251 genes), including ABC transporters, the phosphotransferase system (PTS), and secretion systems. The signal transduction subcategory also showed notable representation (167 genes). Another relevant category was cellular processes, where many genes were linked to virulence-related subcategories, especially cellular community (127 genes), involved in quorum sensing and biofilm formation, and cell motility (64 genes), related to chemotaxis and flagellar assembly, consistent with the observed peritrichous flagella and motility of the strain. A functional genome comparison was conducted between P. sinaloense LFLA-215 T and all other Pectobacterium type strains. Predicted proteins from each strain were annotated with KO identifiers as mentioned above, and functional profiles were compared using KEGG-decoder ( Graham et al. 2018 ). This analysis generated a completeness matrix of predicted metabolic functions, including full pathways, multi-subunit complexes, and individual proteins, allowing comparisons of functional capacity in relation to phylogenetic structure across the genus. The most notable differences were observed in secretion system completeness ( Figure S5 ), confirming the absence of a type IV secretion system in P. sinaloense LFLA-215⍰. Another key distinction was found in the CP-lyase operon, where only 12 out of 23 Pectobacterium species displayed this predicted function. The CP-lyase complex, encoded by the phn operon, is responsible for phosphonate utilization, a potential ecological advantage in phosphorus-limited environments ( Adams et al., 2008 ). Overall, these distinct functional traits further differentiate P. sinaloense apart from its closest phylogenetic relatives, P. aroidearum and P. colocasium ( Figure S6 ). DESCRIPTION OF PECTOBACTERIUM SINALOENSE SP. NOV Pectobacterium sinaloense etymology: si.na.lo.en’se. N.L. neut. adj. sinaloense , pertaining to Sinaloa, the state in Mexico where the type strain LFLA-215 T was isolated. Cells are Gram-negative, motile rods measuring 4.3⍰±⍰0.91µm in length and 1.31⍰±⍰0.09⍰µm in width with peritrichous flagella. The novel taxon is catalase-positive and oxidase-negative. Growth occurs in LB broth at 28⍰°C and 37⍰°C, in the presence of 1% NaCl, and at pH values ranging from 4 to 8. No growth is observed at 4% or 8% NaCl. After 24⍰h of incubation on LB agar at 28⍰°C, colonies are small (1–2⍰mm in diameter), circular, opaque, white-beige with entire margins, convex elevation, moist surfaces, and no diffusible pigment production. LFLA-215 T also grows on nutrient agar (NA), crystal violet pectate agar and B-King medium. BIOLOG phenotypic profiling showed positive utilization of a broad range of carbon sources, including L-arabinose, N-acetyl-D-glucosamine, D-galactose, D-mannose, glycerol, L-proline, sucrose, and many others. Weakly positive reactions were observed with α-ketobutyric acid, 2-hydroxybenzoic acid, itaconic acid, L-methionine, and 2,3-butanedione. LFLA-215 T was negative for utilization of propionic acid, capric acid, and D-serine. The type strain is LFLA-215 T , isolated in January-2020 from symptomatic potato stems in Ahome, Sinaloa, Mexico (25.8656 N, 108.9249 W). The 16S rRNA sequence of strain LFLA-215 T has been deposited in NCBI GenBank and assigned accession number: PV590475.1 . The associated BioProject, and BioSample numbers are PRJNA1257438 and SAMN48267889, respectively. FUNDING INFORMATION This research was funded by the Instituto Politécnico Nacional, grants numbers SIP 20240263 and SIP-2024-RE/038. Additionally, this research was also funded by Natural Sciences and Engineering Research Council of Canada Grant Number: RGPIN-2021-02518. CONFLICTS OF INTEREST The authors declare that there are no conflicts of interest. AKNOWLEDGEMENTS José Luis Valdez López gratefully acknowledges the financial support provided by SECIHTI (formerly CONACYT; No. 842675), Instituto Politécnico Nacional (IPN), Dirección de Relaciones Internacionales (DRI-IPN), and the PIFI-BEIFI program. RCL is funded by CIHR, Genome Quebec and Genome Canada. Funder Information Declared IPN , 20240263 , SIP-2024-RE/038 NSERC , RGPIN-2021-02518 Footnotes REPOSITORIES: Genome assembly, SRA and PGAP annotation of LFLA-215 T was deposited in GenBank under BioProject number PRJNA1257438. The de novo re-annotation of 40 Pectobacterium spp., and Pectobacterium -related species is available in Zenodo: 10.5281/zenodo.15414593. REFERENCES ↵ Adams , M. A. , Luo , Y. , Hove-Jensen , B. , He , S.-M. , van Staalduinen , L. M. , Zechel , D. L. , & Jia , Z. ( 2008 ). Crystal Structure of PhnH: an Essential Component of Carbon-Phosphorus Lyase in Escherichia coli . Journal of Bacteriology , 190 ( 3 ), 1072 – 1083 . doi: 10.1128/JB.01274-07 OpenUrl Abstract / FREE Full Text ↵ Arizala , D. , & Arif , M . ( 2019 ). Genome-Wide Analyses Revealed Remarkable Heterogeneity in Pathogenicity Determinants, Antimicrobial Compounds, and CRISPR-Cas Systems of Complex Phytopathogenic Genus Pectobacterium . Pathogens , 8 ( 4 ), 247 . doi: 10.3390/pathogens8040247 OpenUrl CrossRef PubMed ↵ Blin , K. , Shaw , S. , Augustijn , H. E. , Reitz , Z. L. , Biermann , F. , Alanjary , M. , Fetter , A. , Terlouw , B. R. , Metcalf , W. W. , Helfrich , E. J. N. , van Wezel , G. P. , Medema , M. H. , & Weber , T. ( 2023 ). antiSMASH 7.0: new and improved predictions for detection, regulation, chemical structures and visualisation . Nucleic Acids Research , 51 ( W1 ), W46 – W50 . doi: 10.1093/nar/gkad344 OpenUrl CrossRef PubMed ↵ Bouras , G. , Judd , L. M. , Edwards , R. A. , Vreugde , S. , Stinear , T. P. , & Wick , R. R . ( 2024 ). How low can you go? Short-read polishing of Oxford Nanopore bacterial genome assemblies . Microbial Genomics , 10 ( 6 ). doi: 10.1099/mgen.0.001254 OpenUrl CrossRef ↵ Carroll , L. M. , Larralde , M. , Fleck , J. S. , Ponnudurai , R. , Milanese , A. , Cappio , E. , & Zeller , G . ( 2021 ). Accurate de novo identification of biosynthetic gene clusters with GECCO . doi: 10.1101/2021.05.03.442509 OpenUrl Abstract / FREE Full Text ↵ Charkowski , A. , Blanco , C. , Condemine , G. , Expert , D. , Franza , T. , Hayes , C. , Hugouvieux-Cotte-Pattat , N. , Solanilla , E. L. , Low , D. , Moleleki , L. , Pirhonen , M. , Pitman , A. , Perna , N. , Reverchon , S. , Rodríguez Palenzuela , P. , San Francisco , M. , Toth , I. , Tsuyumu , S. , van der Waals , J. , … Yedidia , I . ( 2012 ). The Role of Secretion Systems and Small Molecules in Soft-Rot Enterobacteriaceae Pathogenicity . Annual Review of Phytopathology , 50 ( 1 ), 425 – 449 . doi: 10.1146/annurev-phyto-081211-173013 OpenUrl CrossRef PubMed ↵ Chen , W. , & Kuo , T . ( 1993 ). A simple and rapid method for the preparation of gram-negative bacterial genomic DNA . Nucleic Acids Research , 21 ( 9 ), 2260 – 2260 . doi: 10.1093/nar/21.9.2260 OpenUrl CrossRef PubMed Web of Science ↵ Chun , J. , Oren , A. , Ventosa , A. , Christensen , H. , Arahal , D. R. , da Costa , M. S. , Rooney , A. P. , Yi , H. , Xu , X.-W. , de Meyer , S. , & Trujillo , M. E. ( 2018 ). Proposed minimal standards for the use of genome data for the taxonomy of prokaryotes . International Journal of Systematic and Evolutionary Microbiology , 68 ( 1 ), 461 – 466 . doi: 10.1099/ijsem.0.002516 OpenUrl CrossRef PubMed ↵ Domingo , R. , Perez , C. , Klair , D. , Vu , H. , Candelario-Tochiki , A. , Wang , X. , Camson , A. , Uy , J. N. , Salameh , M. , Arizala , D. , Dobhal , S. , Boluk , G. , Bingham , J.-P. , Ochoa-Corona , F. , Ali , M. E. , Stack , J. P. , Fletcher , J. , Odani , J. , Jenkins , D. , … Arif , M. ( 2021 ). Genome-informed loop-mediated isothermal amplification assay for specific detection of Pectobacterium parmentieri in infected potato tissues and soil . Scientific Reports , 11 ( 1 ), 21948 . doi: 10.1038/s41598-021-01196-4 OpenUrl CrossRef PubMed ↵ Feldgarden , M. , Brover , V. , Gonzalez-Escalona , N. , Frye , J. G. , Haendiges , J. , Haft , D. H. , Hoffmann , M. , Pettengill , J. B. , Prasad , A. B. , Tillman , G. E. , Tyson , G. H. , & Klimke , W . ( 2021 ). AMRFinderPlus and the Reference Gene Catalog facilitate examination of the genomic links among antimicrobial resistance, stress response, and virulence . Scientific Reports , 11 ( 1 ), 12728 . doi: 10.1038/s41598-021-91456-0 OpenUrl CrossRef PubMed ↵ Gorshkov , V. , & Parfirova , O . ( 2023 ). Host plant physiological transformation and microbial population heterogeneity as important determinants of the Soft Rot Pectobacteriaceae– plant interactions . Seminars in Cell & Developmental Biology , 148 – 149 , 33–41. doi: 10.1016/j.semcdb.2023.01.002 OpenUrl CrossRef ↵ Graham , E. D. , Heidelberg , J. F. , & Tully , B. J . ( 2018 ). Potential for primary productivity in a globally-distributed bacterial phototroph . The ISME Journal , 12 ( 7 ), 1861 – 1866 . doi: 10.1038/s41396-018-0091-3 OpenUrl CrossRef PubMed ↵ Gurbich , T. A. , Beracochea , M. , de Silva , N. H. , & Finn , R. D. ( 2025 ). mettannotator: a comprehensive and scalable Nextflow annotation pipeline for prokaryotic assemblies . Bioinformatics , 41 ( 2 ). doi: 10.1093/bioinformatics/btaf037 OpenUrl CrossRef ↵ Han , W. , Wang , J. , Pirhonen , M. , Pan , Y. , Qin , J. , Zhang , S. , Zhu , J. , & Yang , Z . ( 2023 ). Identification and characterization of opportunistic pathogen Pectobacterium polonicum causing potato blackleg in China . Frontiers in Plant Science , 14 . doi: 10.3389/fpls.2023.1097741 OpenUrl CrossRef ↵ Hoang , D. T. , Chernomor , O. , von Haeseler , A. , Minh , B. Q. , & Vinh , L. S. ( 2018 ). UFBoot2: Improving the Ultrafast Bootstrap Approximation . Molecular Biology and Evolution , 35 ( 2 ), 518 – 522 . doi: 10.1093/molbev/msx281 OpenUrl CrossRef PubMed ↵ Hong , S.-M. , Ten , L. N. , Park , K.-T. , Back , C.-G. , Waleron , M. , Kang , I.-K. , Lee , S.-Y. , & Jung , H.-Y . ( 2023 ). Pectobacterium jejuense sp. nov. Isolated from Cucumber Stem Tissue . Current Microbiology , 80 ( 9 ), 308 . doi: 10.1007/s00284-023-03419-5 OpenUrl CrossRef PubMed ↵ Jonca , J. , Pirhonen , M. , Waleron , M. M. , Gawor , J. , Mrozik , A. , Smoktunowicz , M. , Waleron , K. , & Waleron , M . ( 2024 ). Comprehensive phenomic and genomic studies of the species, Pectobacterium cacticida and proposal for reclassification as Alcorniella cacticida comb. nov . Frontiers in Plant Science , 15 . doi: 10.3389/fpls.2024.1323790 OpenUrl CrossRef ↵ Jonkheer , E. M. , Brankovics , B. , Houwers , I. M. , van der Wolf , J. M. , Bonants , P. J. M. , Vreeburg , R. A. M. , Bollema , R. , de Haan , J. R. , Berke , L. , Smit , S. , de Ridder , D. , & van der Lee , T. A. J. ( 2021 ). The Pectobacterium pangenome, with a focus on Pectobacterium brasiliense, shows a robust core and extensive exchange of genes from a shared gene pool . BMC Genomics , 22 ( 1 ), 265 . doi: 10.1186/s12864-021-07583-5 OpenUrl CrossRef PubMed ↵ Kalyaanamoorthy , S. , Minh , B. Q. , Wong , T. K. F. , von Haeseler , A. , & Jermiin , L. S. ( 2017 ). ModelFinder: fast model selection for accurate phylogenetic estimates . Nature Methods , 14 ( 6 ), 587 – 589 . doi: 10.1038/nmeth.4285 OpenUrl CrossRef PubMed ↵ Kanehisa , M. , Sato , Y. , & Morishima , K . ( 2016 ). BlastKOALA and GhostKOALA: KEGG Tools for Functional Characterization of Genome and Metagenome Sequences . Journal of Molecular Biology , 428 ( 4 ), 726 – 731 . doi: 10.1016/j.jmb.2015.11.006 OpenUrl CrossRef PubMed ↵ Kolmogorov , M. , Yuan , J. , Lin , Y. , & Pevzner , P. A . ( 2019 ). Assembly of long, error-prone reads using repeat graphs . Nature Biotechnology , 37 ( 5 ), 540 – 546 . doi: 10.1038/s41587-019-0072-8 OpenUrl CrossRef PubMed ↵ Lee , I. , Ouk Kim , Y. , Park , S.-C. , & Chun , J . ( 2016 ). OrthoANI: An improved algorithm and software for calculating average nucleotide identity . International Journal of Systematic and Evolutionary Microbiology , 66 ( 2 ), 1100 – 1103 . doi: 10.1099/ijsem.0.000760 OpenUrl CrossRef PubMed ↵ Liu , H. , Coulthurst , S. J. , Pritchard , L. , Hedley , P. E. , Ravensdale , M. , Humphris , S. , Burr , T. , Takle , G. , Brurberg , M.-B. , Birch , P. R. J. , Salmond , G. P. C. , & Toth , I. K . ( 2008 ). Quorum Sensing Coordinates Brute Force and Stealth Modes of Infection in the Plant Pathogen Pectobacterium atrosepticum . PLoS Pathogens , 4 ( 6 ), e1000093 . doi: 10.1371/journal.ppat.1000093 OpenUrl CrossRef PubMed ↵ Maciag , T. , Kozieł , E. , Otulak-Kozieł , K. , Jafra , S. , & Czajkowski , R . ( 2024 ). Looking for Resistance to Soft Rot Disease of Potatoes Facing Environmental Hypoxia . International Journal of Molecular Sciences , 25 ( 7 ), 3757 . doi: 10.3390/ijms25073757 OpenUrl CrossRef PubMed ↵ Mainello-Land , A. M. , Bibi , S. , Gugino , B. , & Bull , C. T . ( 2024 ). Multilocus sequence and phenotypic analysis of Pectobacterium and Dickeya type strains for identification of soft rot Pectobacteriaceae from symptomatic potato stems and tubers in Pennsylvania . Systematic and Applied Microbiology , 47 ( 1 ), 126476 . doi: 10.1016/j.syapm.2023.126476 OpenUrl CrossRef ↵ Mansfield , J. , Genin , S. , Magori , S. , Citovsky , V. , Sriariyanum , M. , Ronald , P. , Dow , M. , Verdier , V. , Beer , S. V. , Machado , M. A. , Toth , I. , Salmond , G. , & Foster , G. D . ( 2012 ). Top 10 plant pathogenic bacteria in molecular plant pathology . Molecular Plant Pathology , 13 ( 6 ), 614 – 629 . doi: 10.1111/j.1364-3703.2012.00804.x OpenUrl CrossRef PubMed Web of Science ↵ Marquez-Villavicencio , M. del P. , Groves , R. L. , & Charkowski , A. O. ( 2011 ). Soft Rot Disease Severity Is Affected by Potato Physiology and Pectobacterium taxa . Plant Disease , 95 ( 3 ), 232 – 241 . doi: 10.1094/PDIS-07-10-0526 OpenUrl CrossRef PubMed ↵ Meier-Kolthoff , J. P. , & Göker , M . ( 2019 ). TYGS is an automated high-throughput platform for state-of-the-art genome-based taxonomy . Nature Communications , 10 ( 1 ), 2182 . doi: 10.1038/s41467-019-10210-3 OpenUrl CrossRef PubMed ↵ Néron , B. , Denise , R. , Coluzzi , C. , Touchon , M. , Rocha , E. P. C. , & Abby , S. S . ( 2023 ). MacSyFinder v2: Improved modelling and search engine to identify molecular systems in genomes . Peer Community Journal , 3 , e28 . doi: 10.24072/pcjournal.250 OpenUrl CrossRef ↵ Oulghazi , S. , Cigna , J. , Lau , Y. Y. , Moumni , M. , Chan , K. G. , & Faure , D . ( 2019 ). Transfer of the waterfall source isolate Pectobacterium carotovorum M022 to Pectobacterium fontis sp. nov., a deep-branching species within the genus Pectobacterium . International Journal of Systematic and Evolutionary Microbiology , 69 ( 2 ), 470 – 475 . doi: 10.1099/ijsem.0.003180 OpenUrl CrossRef PubMed ↵ Oxford Nanopore Technologies Ltd . ( 2018 ). medaka (1.8.0) . Oxford Nanopore Technologies Ltd . ↵ Page , A. J. , Cummins , C. A. , Hunt , M. , Wong , V. K. , Reuter , S. , Holden , M. T. G. , Fookes , M. , Falush , D. , Keane , J. A. , & Parkhill , J . ( 2015 ). Roary: rapid large-scale prokaryote pan genome analysis . Bioinformatics , 31 ( 22 ), 3691 – 3693 . doi: 10.1093/bioinformatics/btv421 OpenUrl CrossRef PubMed ↵ Palafox-Leal , N. L. , Castillo Batista , J. C. , Santos-Cervantes , M. E. , Méndez-Lozano , J. , Rodríguez-Negrete , E. A. , Cervantes-Cárdenas , L. A. , & Leyva-López , N. E . ( 2024 ). Pectobacterium punjabense causing soft rot and blackleg of potato in Sinaloa, Mexico . European Journal of Plant Pathology , 168 ( 1 ), 29 – 37 . doi: 10.1007/s10658-023-02725-9 OpenUrl CrossRef ↵ Panda , P. , Vanga , B. R. , Lu , A. , Fiers , M. , Fineran , P. C. , Butler , R. , Armstrong , K. , Ronson , C. W. , & Pitman , A. R . ( 2016 ). Pectobacterium atrosepticum and Pectobacterium carotovorum Harbor Distinct, Independently Acquired Integrative and Conjugative Elements Encoding Coronafacic Acid that Enhance Virulence on Potato Stems . Frontiers in Microbiology , 7 . doi: 10.3389/fmicb.2016.00397 OpenUrl CrossRef PubMed ↵ Parks , D. H. , Imelfort , M. , Skennerton , C. T. , Hugenholtz , P. , & Tyson , G. W . ( 2015 ). CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes . Genome Research , 25 ( 7 ), 1043 – 1055 . doi: 10.1101/gr.186072.114 OpenUrl Abstract / FREE Full Text ↵ Parte , A. C. , Sardà Carbasse , J. , Meier-Kolthoff , J. P. , Reimer , L. C. , & Göker , M . ( 2020 ). List of Prokaryotic names with Standing in Nomenclature (LPSN) moves to the DSMZ . International Journal of Systematic and Evolutionary Microbiology , 70 ( 11 ), 5607 – 5612 . doi: 10.1099/ijsem.0.004332 OpenUrl CrossRef ↵ Pasanen , M. , Waleron , M. , Schott , T. , Cleenwerck , I. , Misztak , A. , Waleron , K. , Pritchard , L. , Bakr , R. , Degefu , Y. , van der Wolf , J. , Vandamme , P. , & Pirhonen , M. ( 2020 ). Pectobacterium parvum sp. nov., having a Salmonella SPI-1-like Type III secretion system and low virulence . International Journal of Systematic and Evolutionary Microbiology , 70 ( 4 ), 2440 – 2448 . doi: 10.1099/ijsem.0.004057 OpenUrl CrossRef PubMed ↵ Portier , P. , Pédron , J. , Taghouti , G. , Dutrieux , C. , & Barny , M.-A . ( 2020 ). Updated Taxonomy of Pectobacterium Genus in the CIRM-CFBP Bacterial Collection: When Newly Described Species Reveal “Old” Endemic Population . Microorganisms , 8 ( 9 ), 1441 . doi: 10.3390/microorganisms8091441 OpenUrl CrossRef ↵ Portier , P. , Pédron , J. , Taghouti , G. , Fischer-Le Saux , M. , Caullireau , E. , Bertrand , C. , Laurent , A. , Chawki , K. , Oulgazi , S. , Moumni , M. , Andrivon , D. , Dutrieux , C. , Faure , D. , Hélias , V. , & Barny , M.-A. ( 2019 ). Elevation of Pectobacterium carotovorum subsp. odoriferum to species level as Pectobacterium odoriferum sp. nov., proposal of Pectobacterium brasiliense sp. nov. and Pectobacterium actinidiae sp. nov., emended description of Pectobacterium carotovorum and description of Pectobacterium versatile sp. nov., isolated from streams and symptoms on diverse plants . International Journal of Systematic and Evolutionary Microbiology , 69 ( 10 ), 3207 – 3216 . doi: 10.1099/ijsem.0.003611 OpenUrl CrossRef PubMed ↵ Sanchez , S. , Rogers , J. D. , Rogers , A. B. , Nassar , M. , McEntyre , J. , Welch , M. , Hollfelder , F. , & Finn , R. D . ( 2023 ). Expansion of novel biosynthetic gene clusters from diverse environments using SanntiS . doi: 10.1101/2023.05.23.540769 OpenUrl Abstract / FREE Full Text ↵ Santos-Cervantes , M. E. , Palafox-Leal , N. L. , Castillo-Batista , J. C. , González-Castillo , A. , Gómez-Gil , B. , Méndez-Lozano , J. , Rodríguez-Negrete , E. A. , Cárdenas , L. A. C. , & Leyva-López , N. E . ( 2024 ). First Report of Pectobacterium polaris Causing Aerial Stem Rot of Potato in Mexico . Plant Disease , 108 ( 1 ), 202 . doi: 10.1094/PDIS-07-23-1394-PDN OpenUrl CrossRef ↵ Sawada , H. , Someya , N. , Morohoshi , T. , Ono , M. , & Satou , M . ( 2024 ). Pectobacterium araliae sp. nov., a pathogen causing bacterial soft rot of Japanese angelica tree in Japan . International Journal of Systematic and Evolutionary Microbiology , 74 ( 4 ). doi: 10.1099/ijsem.0.006326 OpenUrl CrossRef ↵ Schwengers , O. , Jelonek , L. , Dieckmann , M. A. , Beyvers , S. , Blom , J. , & Goesmann , A . ( 2021 ). Bakta: rapid and standardized annotation of bacterial genomes via alignment-free sequence identification . Microbial Genomics , 7 ( 11 ). doi: 10.1099/mgen.0.000685 OpenUrl CrossRef PubMed ↵ Shields , P. , & Cathcart , L . ( 2011 ). Motility test medium protocol . American society for microbiology , 214 , 215 . OpenUrl ↵ Shimoyama , Y. ( 2022 ). pyCirclize: Circular visualization in Python [Computer software] . https://github.com/moshi4/pyCirclize ↵ SIAP . ( 2024 ). Statistical Yearbook of Agricultural Production . https://online.pubhtml5.com/rsarc/ywrn/ Accessed February 2025 ↵ Silva , A. S. , Luz , J. M. Q. , Tebaldi , N. D. , & Morais , T. P. de. ( 2020 ). Diversity of Pectobacterium strains by biochemical, physiological, and molecular characterization . Bioscience Journal , 36 ( 2 ), 316 – 323 . doi: 10.14393/BJ-v36n2a2020-46256 OpenUrl CrossRef ↵ Tamura , K. , Stecher , G. , & Kumar , S . ( 2021 ). MEGA11: Molecular Evolutionary Genetics Analysis Version 11 . Molecular Biology and Evolution , 38 ( 7 ), 3022 – 3027 . doi: 10.1093/molbev/msab120 OpenUrl CrossRef PubMed ↵ Tesson , F. , Hervé , A. , Mordret , E. , Touchon , M. , d’Humières , C. , Cury , J. , & Bernheim , A. ( 2022 ). Systematic and quantitative view of the antiviral arsenal of prokaryotes . Nature Communications , 13 ( 1 ), 2561 . doi: 10.1038/s41467-022-30269-9 OpenUrl CrossRef PubMed ↵ Toth , I. K. , Barny , M. , Brurberg , M. B. , Condemine , G. , Czajkowski , R. , Elphinstone , J. G. , Helias , V. , Johnson , S. B. , Moleleki , L. N. , Pirhonen , M. , Rossmann , S. , Tsror , L. , van der Waals , J. E. , van der Wolf , J. M. , van Gijsegem , F. , & Yedidia , I. ( 2021 ). Pectobacterium and Dickeya: Environment to Disease Development . In Plant Diseases Caused by Dickeya and Pectobacterium Species (pp. 39 – 84 ). Springer International Publishing . doi: 10.1007/978-3-030-61459-1_3 OpenUrl CrossRef ↵ Valdez-Lopez , J. L. , Pérez-López , E. , Mora Zamudio , C. I. , Mendez-Lozano , J. , Rodríguez-Negrete , E. A. , Santos-Cervantes , M. E. , & Leyva-Lopez , N. E. ( 2025 ). First report of Pectobacterium versatile causing aerial stem rot on potato crops in Mexico . Plant Disease . doi: 10.1094/PDIS-02-25-0423-PDN OpenUrl CrossRef ↵ van Gijsegem , F. , Hugouvieux-Cotte-Pattat , N. , Kraepiel , Y. , Lojkowska , E. , Moleleki , L. N. , Gorshkov , V. , & Yedidia , I. ( 2021 ). Molecular Interactions of Pectobacterium and Dickeya with Plants . In Plant Diseases Caused by Dickeya and Pectobacterium Species (pp. 85 – 147 ). Springer International Publishing . doi: 10.1007/978-3-030-61459-1_4 OpenUrl CrossRef ↵ Waleron , M. , Misztak , A. , Waleron , M. , Jonca , J. , Furmaniak , M. , & Waleron , K . ( 2019 ). Pectobacterium polonicum sp. nov. isolated from vegetable fields . International Journal of Systematic and Evolutionary Microbiology , 69 ( 6 ), 1751 – 1759 . doi: 10.1099/ijsem.0.003387 OpenUrl CrossRef PubMed ↵ Wong , T. K. F. , Ly-Trong , N. , Ren , H. , Baños , H. , Roger , A. J. , Susko , E. , Bielow , C. , de Maio , N. , Goldman , N. , Hahn , M. W. , Huttley , G. , Lanfear , R. , & Minh , B. Q. ( 2025 ). IQ-TREE 3: Phylogenomic Inference Software using Complex Evolutionary Models . EcoEvoRxiv . doi: 10.32942/X2P62N OpenUrl CrossRef ↵ Xu , P. , Wang , H. , Qin , C. , Li , Z. , Lin , C. , Liu , W. , & Miao , W . ( 2021 ). Analysis of the Taxonomy and Pathogenic Factors of Pectobacterium aroidearum L6 Using Whole-Genome Sequencing and Comparative Genomics . Frontiers in Microbiology , 12 . doi: 10.3389/fmicb.2021.679102 OpenUrl CrossRef ↵ Yoon , S.-H. , Ha , S. , Lim , J. , Kwon , S. , & Chun , J . ( 2017 ). A large-scale evaluation of algorithms to calculate average nucleotide identity . Antonie van Leeuwenhoek , 110 ( 10 ), 1281 – 1286 . doi: 10.1007/s10482-017-0844-4 OpenUrl CrossRef PubMed ↵ Young , J. M . ( 2011 ). Unlikely Plant Pathogenic Bacteria . Journal of Plant Pathology , 93 ( 2 ), 247 – 250 . OpenUrl ↵ Zhang , Y. , Guan , J. , Li , C. , Wang , Z. , Deng , Z. , Gasser , R. B. , Song , J. , & Ou , H.-Y . ( 2023 ). DeepSecE: A Deep-Learning-Based Framework for Multiclass Prediction of Secreted Proteins in Gram-Negative Bacteria . Research , 6 . doi: 10.34133/research.0258 OpenUrl CrossRef ↵ Zheng , J. , Ge , Q. , Yan , Y. , Zhang , X. , Huang , L. , & Yin , Y . ( 2023 ). dbCAN3: automated carbohydrate-active enzyme and substrate annotation . Nucleic Acids Research , 51 ( W1 ), W115 – W121 . doi: 10.1093/nar/gkad328 OpenUrl CrossRef PubMed ↵ Zhou , J. , Hu , M. , Hu , A. , Li , C. , Ren , X. , Tao , M. , Xue , Y. , Chen , S. , Tang , C. , Xu , Y. , Zhang , L. , & Zhou , X . ( 2022 ). Isolation and Genome Analysis of Pectobacterium colocasium sp. nov. and Pectobacterium aroidearum, Two New Pathogens of Taro . Frontiers in Plant Science , 13 . doi: 10.3389/fpls.2022.852750 OpenUrl CrossRef View the discussion thread. Back to top Previous Next Posted June 20, 2025. Download PDF Supplementary Material Email Thank you for your interest in spreading the word about bioRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. You are going to email the following Pectobacterium sinaloense sp. nov., a novel phytopathogenic species isolated from potato plants in Mexico Message Subject (Your Name) has forwarded a page to you from bioRxiv Message Body (Your Name) thought you would like to see this page from the bioRxiv website. Your Personal Message CAPTCHA This question is for testing whether or not you are a human visitor and to prevent automated spam submissions. Share Pectobacterium sinaloense sp. nov., a novel phytopathogenic species isolated from potato plants in Mexico Jose Luis Valdez-Lopez , Noe Leonardo Palafox-Leal , Glenda Santos-Lopez , Elisa Ines Fantino , Irena Kukavica , Roger C. Levesque , Jesús Méndez-Lozano , Carlos Ignacio Mora-Zamudio , Edgar Antonio Rodríguez-Negrete , Maria Elena Santos-Cervantes , Norma Elena Leyva-Lopez , Edel Pérez-López bioRxiv 2025.06.20.660644; doi: https://doi.org/10.1101/2025.06.20.660644 Share This Article: Copy Citation Tools Pectobacterium sinaloense sp. nov., a novel phytopathogenic species isolated from potato plants in Mexico Jose Luis Valdez-Lopez , Noe Leonardo Palafox-Leal , Glenda Santos-Lopez , Elisa Ines Fantino , Irena Kukavica , Roger C. Levesque , Jesús Méndez-Lozano , Carlos Ignacio Mora-Zamudio , Edgar Antonio Rodríguez-Negrete , Maria Elena Santos-Cervantes , Norma Elena Leyva-Lopez , Edel Pérez-López bioRxiv 2025.06.20.660644; doi: https://doi.org/10.1101/2025.06.20.660644 Citation Manager Formats BibTeX Bookends EasyBib EndNote (tagged) EndNote 8 (xml) Medlars Mendeley Papers RefWorks Tagged Ref Manager RIS Zotero Tweet Widget Facebook Like Google Plus One Subject Area Microbiology Subject Areas All Articles Animal Behavior and Cognition (7618) Biochemistry (17637) Bioengineering (13864) Bioinformatics (41853) Biophysics (21403) Cancer Biology (18540) Cell Biology (25429) Clinical Trials (138) Developmental Biology (13356) Ecology (19862) Epidemiology (2067) Evolutionary Biology (24287) Genetics (15585) Genomics (22464) Immunology (17701) Microbiology (40300) Molecular Biology (17142) Neuroscience (88440) Paleontology (666) Pathology (2825) Pharmacology and Toxicology (4814) Physiology (7633) Plant Biology (15107) Scientific Communication and Education (2042) Synthetic Biology (4285) Systems Biology (9809) Zoology (2268)

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00