Integrated transcriptome analysis reveals roles of long non- coding RNAs (lncRNAs) in caprine skeletal muscle mass and meat quality

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This study identified 136 differentially expressed long non-coding RNAs in caprine skeletal muscle, revealing their roles in muscle development, fat deposition, and meat tenderness through constructed interaction and ceRNA networks.

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The preprint compared long non-coding RNA (lncRNA) expression profiles in Longissimus dorsi skeletal muscle from two goat breeds, Liaoning cashmere and Ziwuling black, which differ in meat yield and meat quality, using RNA sequencing and validation by RT-qPCR. It identified 136 differentially expressed lncRNAs and predicted their cis and trans target genes, finding that enriched functions of these targets included muscle contraction, muscle system processes, muscle cell differentiation, and the p53 signaling pathway, with additional network links to intramuscular fat deposition and meat tenderness. The study constructs lncRNA-mRNA and lncRNA-miRNA-mRNA ceRNA interaction networks to propose regulatory relationships, but it relies on in silico target prediction rather than direct functional experiments. This paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

AbstractBackground Long non-coding RNAs (lncRNAs) play important roles in growth and development of skeletal muscle. However, there was limited information in goats. In this study, expression profiles of lncRNAs inLongissimus dorsimuscle from Liaoning cashmere (LC) goats and Ziwuling black (ZB) goats with divergent meat yield and meat quality were compared using RNA-sequencing. Based on our previous microRNAs (miRNAs) and mRNAs profiles obtained from the same tissues, the target genes and binding miRNAs of differentially expressed lncRNAs were obtained. Subsequently, lncRNA-mRNA interaction networks and a ceRNA network of lncRNA-miRNA-mRNA were constructed. Results A total of 136 differentially expressed lncRNAs were identified between the two breeds. 15cistarget genes and 143transtarget genes were found for differentially expressed lncRNAs, and they were enriched in muscle contraction, muscle system process, muscle cell differentiation, and p53 signaling pathway. A total of 69 lncRNA-transtarget gene pairs were constructed, with close relationship with muscle development, intramuscular fat deposition and meat tenderness. A total of 16 lncRNA-miRNA-mRNA ceRNA pairs were identified, of which some reportedly associated with skeletal muscle development and fat deposition were found. Conclusion The study identified some crucial lncRNAs related to muscle development, intramuscular fat deposition and meat tenderness, which will provide an improved understanding of the roles of lncRNAs in caprine meat yield and meat quality.
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Integrated transcriptome analysis reveals roles of long non- coding RNAs (lncRNAs) in caprine skeletal muscle mass and meat quality | 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 Integrated transcriptome analysis reveals roles of long non- coding RNAs (lncRNAs) in caprine skeletal muscle mass and meat quality Jiyuan Shen, Yuzhu Luo, Jiqing Wang, Jiang Hu, Xiu Liu, Shaobin Li, and 7 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-1960027/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background Long non-coding RNAs (lncRNAs) play important roles in growth and development of skeletal muscle. However, there was limited information in goats. In this study, expression profiles of lncRNAs in Longissimus dorsi muscle from Liaoning cashmere (LC) goats and Ziwuling black (ZB) goats with divergent meat yield and meat quality were compared using RNA-sequencing. Based on our previous microRNAs (miRNAs) and mRNAs profiles obtained from the same tissues, the target genes and binding miRNAs of differentially expressed lncRNAs were obtained. Subsequently, lncRNA-mRNA interaction networks and a ceRNA network of lncRNA-miRNA-mRNA were constructed. Results A total of 136 differentially expressed lncRNAs were identified between the two breeds. 15 cis target genes and 143 trans target genes were found for differentially expressed lncRNAs, and they were enriched in muscle contraction, muscle system process, muscle cell differentiation, and p53 signaling pathway. A total of 69 lncRNA- trans target gene pairs were constructed, with close relationship with muscle development, intramuscular fat deposition and meat tenderness. A total of 16 lncRNA-miRNA-mRNA ceRNA pairs were identified, of which some reportedly associated with skeletal muscle development and fat deposition were found. Conclusion The study identified some crucial lncRNAs related to muscle development, intramuscular fat deposition and meat tenderness, which will provide an improved understanding of the roles of lncRNAs in caprine meat yield and meat quality. long non-coding RNA meat yield meat quality ceRNA goat Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Background Domestic goats (Capra hircus) are one of the most essential farm animals economically. Goat meat is increasingly favored by consumers for higher protein, lower fat as well as unique flavor and palatability when compared to meat produced from other domestic animals [ 1 ]. It is well known that as other animals, caprine meat yield and quality are regulated by both mRNAs and non-coding RNAs including long non-coding RNAs (lncRNAs), so the identification of the RNAs that regulate skeletal muscle offers an opportunity to improve caprine meat production performance. The lncRNAs are a class of novel non-coding RNAs with greater than 200 nucleotides in length. They are primarily transcribed by RNA polymerase II and widely distributed in mammalian cells [ 2 ]. Although the vast majority of lncRNAs expressed at lower levels compared to protein-coding genes [ 3 ], they were found to play crucial roles in regulation of mRNA expression at transcriptional, post-transcriptional or epigenetic levels. For example, some lncRNAs transcribed from genome sequence containing cis -regulatory DNA elements can regulate expression of their neighboring genes in cis by affecting their transcription [ 4 ]. The lncRNAs can also trans -regulate the expression of the target genes by interacting with trans -acting factors [ 4 ]. In addition, some lncRNAs act as competing endogenous RNAs (ceRNAs) to sequester microRNAs (miRNAs), eventually leading to increase the expression of the target gene by miRNAs at post-transcriptional level [ 5 ]. In this context, lncRNAs are considered to widely involve in embryonic development, organ morphogenesis, as well as cell cycles, including differentiation, proliferation, and apoptosis [ 6 – 7 ]. It has been confirmed that lncRNAs played important roles in the growth and development of skeletal muscle. For example, lncR-125b accelerated differentiation of caprine muscle satellite cells by increasing expression of insulin growth factor 2 ( IGF2 ) derived from a ceRNA for miR-125b [ 5 ]. LncRNA-Six1 promoted chicken muscle growth by cis -regulating expression of the target gene SIX homeobox 1 ( Six1 ) [ 8 ]. Additionally, lncMAAT was found to regulate muscle atrophy by negatively regulating the expression of miR-29b [ 9 ]. Meanwhile, the expression profiles of lncRNAs in skeletal muscle tissues were also investigated and lncRNAs were found to be differentially expressed in samples with different genetic backgrounds. However, these studies in livestock have mainly been focused on sheep [ 10 – 12 ], cattle [ 13 – 15 ], chicken [ 16 – 18 ], and pigs [ 19 – 21 ]. Despite there being some studies reporting lncRNAs expression profiles of skeletal muscle tissues in goats, these studies were all performed with muscle samples collected from different developmental periods. For example, a total of 547 lncRNAs were differentially expressed in skeletal muscles of Anhui white goats among five fetal stages and two kid stages, and they were involved in signaling pathways closely associated with muscle development, including structure formation, p53 signaling pathway, and MAPK signaling pathway [ 22 ]. Additionally, 577 and 648 differentially expressed lncRNAs were found in skeletal muscle tissues between embryonic and postnatal stages of Jianzhou big-eared goats and Dazu black goats, respectively [ 23 – 24 ]. However, there have been no reports on comparison of lncRNAs expression profiles in skeletal muscle tissues between different goat breeds. In this study, Liaoning cashmere (LC) goats and Ziwuling black (ZB) goats were selected for the investigation. The two breeds are all dual-purpose breed for meat and cashmere fiber, and have significant difference in meat production performance. Briefly, LC goats have higher carcass weight, net meat weight, muscle fiber size, and intramuscular fat content, but have poorer meat tenderness compared to ZB goats ( P < 0.05) [ 25 ]. RNA-Seq analysis of the same Longissimus dorsi muscle tissues as those used in the study revealed that differentially expressed genes, miRNAs and circular RNAs (circRNAs) were responsible for these phenotypic differences [ 26 – 28 ]. However, the biological mechanism by lncRNAs regulate meat production performance difference is still unclear. Accordingly, the expression profiles of lncRNAs in Longissimus dorsi muscle tissues between LC and ZB goats were compared using RNA sequencing (RNA-Seq), and differentially expressed lncRNAs were then screened. We also analyzed functional enrichment of the target genes, and constructed lncRNA-mRNA interaction networks and a ceRNA network of lncRNA-miRNA-mRNA, with the aim of uncovering the possible function of lncRNAs in muscle growth and development of goats. Results Identification and characterization of lncRNAs in caprine skeletal muscle For the ten Longissimus dorsi muscle tissue samples (five LC goats and five ZB goats), their clean reads and mapped results to the Caprine Genome Assembly ARS1 have been described in our previous study [ 26 ]. In this study, a total of 2,302 lncRNAs were identified, including 1,767 known caprine lncRNAs and 535 novel lncRNAs (Supplementary File 1). Of all the lncRNAs identified, 1,945 lncRNAs were co-expressed in the two goat breeds, while 178 and 179 lncRNAs were specifically expressed in LC and ZB goats, respectively (Fig. 1 A). Of the five lncRNA types classified according to their location relative to protein-coding genes, intergenic lncRNA was the most common with a proportion of 54.4%, followed by antisense lncRNAs (15.3%) and bidirectional lncRNAs (15.3%). Sense lncRNAs (3.4%) and intronic lncRNAs (2.3%) were the least. In addition, 9.3% lncRNAs were defined as other type of lncRNAs that were not classified into the five types (Fig. 1 B). In our previous study, the mRNA expression profiles of the same Longissimus dorsi muscle tissues as those used in the study has been reported [ 26 ]. In this study, characteristics in Longissimus dorsi muscle between lncRNAs and mRNAs identified were accordingly compared. The average transcript length of known lncRNAs identified in this study was 1,668 bp, which was less than novel lncRNAs and mRNAs with an average length of 5,065 and 3,674 bp, respectively (Fig. 1 C). The average expression level of lncRNAs was far less than mRNA transcripts (Fig. 1 D). The average exon number of known and novel lncRNAs was 3.8 and 2.6, respectively, which was much less than average 12.7 exons for mRNAs (Fig. 1 E). Additionally, the average length of open reading frame (ORF) of known and novel lncRNAs was shorter than mRNAs (Fig. 1 F). This was consistent with the results that lncRNAs had much lower average coding potential score than mRNAs (Fig. 1 G). Screening and validation of differentially expressed lncRNAs A total of 136 differentially expressed lncRNAs were identified in comparing Longissimus dorsi muscle tissue from LC goats with Longissimus dorsi muscle tissue from ZB goats. These included 62 up-regulated lncRNAs and 74 down-regulated lncRNAs in the Longissimus dorsi muscle of LC goats (Supplementary File 2). The results from RT-qPCR showed that the relative expression levels of the 12 differentially expressed lncRNAs selected were in accordance with those obtained from RNA-Seq (Fig. 2 ). This confirmed the reliability and repeatability of the RNA-Seq results. Prediction and function annotation of the target genes of differentially expressed lncRNAs To predict the target genes of differentially expressed lncRNAs, a total of 391 up-regulated genes and 222 down-regulated genes in the same Longissimus dorsi muscle as those used in the study, were re-identified in LC goats when comparing to ZB goats (Supplementary File 3). In this study, 15 cis target genes were predicted for 18 differentially expressed lncRNAs, resulting in 22 lncRNA- cis target gene pairs (Supplementary File 4). Additionally, 143 trans target genes were predicted for 58 differentially expressed lncRNAs, resulting in 203 lncRNA- trans target gene pairs (Supplementary File 4). However, there were no target genes predicted for the remaining 60 differentially expressed lncRNAs. The target genes in cis and trans were significantly enriched in 155 biological process (GO-BP) terms, 19 cellular components (GO-CC) terms, and 19 molecular function (GO-MF) terms (Supplementary File 5). It was noteworthy that some significant GO terms directly related to the growth and development of skeletal muscle were found (Fig. 3 A), including muscle contraction ( P = 0.002), regulation of muscle contraction ( P = 0.004), muscle system process ( P = 0.014), regulation of muscle system process ( P = 0.022), muscle cell differentiation ( P = 0.040), and striated muscle cell differentiation ( P = 0.041). In addition, connective tissue development process related to meat tenderness was also significantly enriched by several target genes ( P = 0.010) (Fig. 3 A). KEGG pathway analysis showed that the target genes were significantly enriched in 19 signaling pathways (Supplementary File 5) and the top fifteen significant pathways with the lowest P value are shown in Fig. 3 B. Systemic lupus erythematosus was the most enriched pathway ( P = 2.685E-05), followed by alcoholism ( P = 2.623E-04) and allograft rejection ( P = 0.007). The p53 signaling pathway ( P = 0.023) was noteworthy as it played dual roles in the growth and development of muscle and adipose tissues (Fig. 3 B). Construction of lncRNA-mRNA interaction networks Given unknown roles for 15 cis target genes in meat yield and quality, their interaction network with lncRNAs was not constructed. Of 203 lncRNA- trans target gene pairs described above, based on the roles of the target genes in meat yield and quality, a total of 69 lncRNA- trans target gene pairs were further selected to construct lncRNA-mRNA interaction networks, including 38 pairs related to muscle development (Fig. 4 A), 18 pairs associated with intramuscular fat deposition (Fig. 4 B) and 13 pairs related to meat tenderness (Fig. 4 C). For example, the target genes CDK1 , GREM1 , MEGF10 , and DNER were involved in muscle cell differentiation process (Supplementary File 5). The target genes RORC , KLK7 and RYR3 were relate to adipogenesis [ 29 – 31 ], while the target genes GREM1 and LOXL2 were involved in connective tissue development process affecting meat tenderness [ 32 ]. Construction of a lncRNA-miRNA-mRNA ceRNA network In addition to the roles in regulating expression of the target genes, lncRNAs can also function as miRNA sponges to increase expression level of the target genes by miRNAs. In this study, a total of 16 lncRNA-miRNA-mRNA ceRNA pairs were identified ( P < 0.05) (Fig. 5 ; Supplementary File 6). It was noteworthy that several ceRNA networks related to the growth and development of skeletal muscle were found including XR_001917125.1-miR-34-3p- NCAM2 , XR_001917125.1-miR-460-5p- NCAM2 and XR_001918832.1-miR-200c- CRHBP . A ceRNA network related to fat deposition was also found including XR_001918832.1-miR-200b- CRHBP . Discussion Meat production performance is a kind of complex economic traits that include multiple important traits influencing meat yield and meat quality. For example, carcass weight and net meat weight directly reflect meat yield. Meat tenderness is regarded as important palatability trait that significantly affects consumer acceptance for meat, while intramuscular fat influences sensory quality of meat, including flavor, juiciness and tenderness [ 33 ]. An increasing number of evidences suggest that meat yield and quality traits can be directly regulated by some non-coding RNAs. Given that lncRNAs account for 80% of the total number of non-coding RNAs, the role of lncRNAs in skeletal muscle are worthy of further investigation. In this study, a total of 2,302 lncRNAs were identified in Longissimus dorsi muscle of goats, and this was less than those reported in muscle tissue of Jianzhou big-eared goats with an average of 2,739 lncRNAs identified [ 23 ]. This may partly reflect breed-specific expression pattens of lncRNAs. Additionally, the number of lncRNAs identified in this study was more than those for a study in Longissimus dorsi muscle of sheep [ 12 ], but less than those reported in cattle by Yan et al. [ 14 ]. The differences may be related to species-specific expression of lncRNAs. The characteristics of lncRNAs identified in this study are in concordance with previous studies in skeletal muscle tissue. For example, intergenic lncRNA was found to be the most common in skeletal muscle of Dazu black goats [ 24 ], rabbit [ 34 ] and cattle [ 13 ]. Our observation that known lncRNAs had shorter transcript length than mRNAs, is consistent with findings in Anhui white goats [ 22 ], cattle [ 13 ] and donkey [ 35 ]. As expected, lncRNAs found in this study had much lower expression levels and coding potential score, shorter ORF length and fewer exon number when comparing to mRNA transcripts. The phenomenon has also been reported in skeletal muscle of Anhui white goats [ 22 ] and Jianzhou big-eared goats [ 23 ]. The regulation of the target genes in expression is one of the main functions of lncRNA. In lncRNA-mRNA interaction networks constructed in the study (Fig. 4 A, B), up-regulated MSTRG.262.1, XR_001917125.1 and XR_001917605.1 in LC goats may regulate both myogenesis and adipogenesis as their some trans target genes GREM1 , MEGF10 , and DNER were involved in muscle cell differentiation and striated muscle cell differentiation process ( P < 0.05), while other trans target genes CDK1 and RRM2 were enriched in p53 signaling pathway ( P < 0.05) that played dual roles in muscle cell differentiation [ 36 ] and adipogenesis [ 37 ]. In addition, MSTRG.262.1 would target MYOZ2 and ANKRD2 , while XR_001917125.1 would target MYOZ2 . The genes MYOZ2 and ANKRD2 were found to be up-regulated in the same Longissimus dorsi muscle tissue of LC goats as those used in the study (Supplementary File 3) and were also reported to positively regulate muscle cell differentiation [ 38 – 39 ]. It was therefore inferred that the three up-regulated lncRNAs in LC goats may be responsible for the meat production and intramuscular fat content differences between LC goats and ZB goats. It was noteworthy that MSTRG.262.1 and XR_001917125.1 also appeared in the interaction network related to meat tenderness. The lncRNAs were co-expressed with myosin light chain 6B ( MYL6B ) and collagen alpha-1(III) chain (LOC102176755) (Fig. 4 C). MYL6B was a crucial muscle structure component and its nucleotide sequence variations were found to affect beef tenderness [ 40 ]. LOC102176755 encodes a type of collagen that has a strong negative effect on meat tenderness [ 41 ]. The GO analysis result further supported the effect of XR_001917125.1 on meat tenderness as its other two up-regulated trans target genes ( GREM1 and LOXL2 ) in Longissimus dorsi muscle of LC goats (Supplementary File 3) were involved in connective tissue development process ( P < 0.05) (Supplementary File 5). Connective tissue is mainly composed of collagen, which its content was highly positively correlated with the shear force value of beef (r = 0.95) [ 41 ]. In this context, the two lncRNAs may also regulate meat tenderness difference between the two breeds. Two up-regulated lncRNAs (XR_001917386.1, XR_001918614.1) and one down-regulated lncRNA (XR_001297059.2) in LC goats caught our attention as their trans target genes ( SMPX and RYR3 ) were enriched in muscle contraction ( P < 0.01) and muscle system process ( P < 0.05) (Supplementary File 5). Of the two target genes, up-regulated SMPX (Supplementary File 3) would be trans -regulated by up-regulated XR_001917386.1 and XR_001918614.1 in LC goats. SMPX was also known as small muscle protein, in that it was a positive regulator of muscle fiber size [ 42 ]. We therefore speculated that the up-regulation of SMPX in skeletal muscle of LC goats may be partly caused by trans -regulation of XR_001917386.1 and XR_001918614.1, eventually resulting in a higher muscle fiber size in LC goats. The lncRNA XR_001297059.2 was down-regulated in LC goats with higher intramuscular fat content (Supplementary File 2). This was not surprising as its trans target gene RYR3 played a negative role in adipogenesis [ 43 ] and was also down-regulated in LC goats (Supplementary File 3). In interaction network related to muscle development, NR5A2 was common trans target gene of seven differentially expressed lncRNAs (Fig. 4 A). NR5A2 has been reported to regulate muscle morphogenesis and glucose metabolism in muscle cells [ 44 – 45 ]. Similarly, RORC would be collectively trans -regulated by six differentially expressed lncRNAs in interaction network related to intramuscular fat deposition (Fig. 4 B) and meat tenderness (Fig. 4 C). RORC was enriched in connective tissue development process related to meat tenderness ( P < 0.05) (Supplementary File 5). The variations in RORC were also associated with intramuscular fat and marbling score of cattle [ 29 – 30 ]. These suggest that these multiple lncRNAs may play roles in skeletal muscle development and intramuscular fat deposition in goats by collectively trans -regulating NR5A2 or RORC . Other differentially expressed lncRNAs involved in the lncRNA-mRNA interaction networks may also regulate the phenotype differences of the two goat breeds in meat yield and meat quality. For example, up-regulated MSTRG.12645.1 in Longissimus dorsi muscle of LC goats compared to ZB goats would be co-expressed with KLK7 , which was also identified as an up-regulated gene in LC goats (Supplementary File 3). KLK7 led to an increase of body fat mass in mice [ 31 ]. The up-regulated XR_001918823.1 in LC goats would target SLC7A8 that was up-regulated in Longissimus dorsi muscle of LC goats compared to ZB goats (Supplementary File 3). SLC7A8 was reported to promote muscle growth by weaking proteolysis [ 46 ]. However, 15 cis target genes predicted for differentially expressed lncRNAs obtained in this study were not found in the three lncRNA-mRNA interaction networks. This suggest that these differentially expressed lncRNAs screened in this study play roles in skeletal muscle development and meat quality mainly through a trans -regulatory mechanism. The lncRNA can also act as a sponge for miRNA to relieve the repression of the target mRNA by miRNA, with an accompanying increase in expression level of mRNAs in mammalian cells [ 5 , 8 ]. In the study, up-regulated XR_001918832.1 in LC goats was predicted to be a sponge of miR-200b and miR-200c to regulate the expression of CRHBP (Fig. 5 ). The miR-200b was reported to suppress proliferation of C2C12 myoblast [ 47 ] and differentiation of ovine preadipocytes [ 48 ], while miR-200c inhibited differentiation of C2C12 myoblast [ 49 ]. It was therefore speculated that up-regulated XR_001918832.1 in LC goats may sponge-absorb miR-200b/miR-200c to positively regulate caprine muscle development and intramuscular fat. Similarly, up-regulated XR_001917125.1 in LC goats would increase the expression of NCAM2 by relieving the repression effect of miR-34-3p and miR-460-5p (Fig. 5 ). Given that NCAM2 promoted myogenesis of mice [ 50 ], up-regulation of XR_001917125.1 would result in a higher skeletal muscle mass in LC goats compared to ZB goats. These suggest that ceRNA mechanisms may partly explain the phenotype differences in skeletal muscle mass and intramuscular fat between LC goats and ZB goats. However, the lncRNA-miRNA-mRNA ceRNA networks predicted in the study need to be further corroborated. Conclusion In summary, we identified 136 differentially expressed lncRNAs in muscle tissues between LC goats and ZB goats. The target genes of the differentially expressed lncRNAs were related to phenotype differences in meat production, intramuscular fat deposition and meat tenderness between the two caprine breeds. Several lncRNAs may responsible for the differences via ceRNA mechanism, including XR_001918832.1-miR-200b/miR-200c- CRHBP and XR_001917125.1-miR-34-3p/miR-460-5p- NCAM2 . Methods Ethics statement All animal procedures in this study were approved by Animal Experiment Ethics Committee of Gansu Agricultural University with an approval number of GSAU-ETH-AST-2021-028. Experimental animals and sample collection Five healthy nine-month-old LC goats and five healthy nine-month-old ZB goats raised under the same environmental conditions and nutrition program, were selected from the Yongfeng Goat Breeding Company (Huan County, Gansu Province, China). All the experimental animals were slaughtered by arterial bleeding, while under general anesthesia induced intravenously with Propofol (B.Braun, Melsungen, Germany; 5 mg kg − 1 body weight). Their meat yield and quality were measured after slaughter and are presented in Supplementary File 7. The Longissimus dorsi muscle was collected from the region between 12th and 13th ribs in the left half carcass from each goat. These tissue samples were immediately stored in liquid nitrogen for RNA extraction. RNA-Sequencing Total RNA from the ten muscle samples was isolated using Trizol reagent kit (Invitrogen, Carlsbad, CA, USA). Its concentration and RNA Integrity Number (RIN) were measured using a Nanodrop 2000 (Thermo Scientific, MA, USA) and Agilent 2100 Bioanalyzer (Agilent, CA, USA), respectively. Only samples with an RIN value > 7 were used for subsequent cDNA library construction. The Ribosomal RNA (rRNA) was removed from total RNA using a Ribo-Zero Gold rRNA Removal Kit (Illumina, CA, United States), and the remaining Longissimus dorsi muscle RNA was used to generate complementary DNA (cDNA) libraries using a NEBNext Ultra RNA Library Prep Kit (New England Biolabs, MA, United States). The cDNA libraries obtained were paired-end sequenced using an Illumina HiSeqTM 4000 sequencer (Illumina, CA, United States) at Gene Denovo Biotechnology Co., Ltd (Guangzhou, China). Identification and characterization of lncRNAs The clean reads were obtained by removing low-quality reads with quality scores 10% unknown nucleotides, and adaptor reads from raw reads using Fastp v0.18.0. The clean reads were aligned against Caprine Genome Assembly ARS1 using HISAT2 v2.1.0 and the known lncRNAs were then identified according to the alignment results. Subsequently, the mapped results from HISAT2 v2.1.0 were assembled to transcripts using Stringtie v1.3.4 and the novel lncRNAs were then identified. Briefly, the transcripts with smaller than 200 nucleotides in length or those with a single exon were discarded. The coding potential of the remaining transcripts were predicted by CNCI v2.0 [ 51 ] and CPC v0.9-r2 [ 52 ] and the predicted results from the two kinds of software were intersected. These transcripts with coding potential score < 0 were considered to be novel lncRNAs. The identified caprine lncRNAs were characterized by analyzing types, transcript length, exon number, and coding potential score to mRNAs identified from the same muscle samples as those used in the study [ 26 ], using in-house Perl scripts. Screening of differentially expressed lncRNAs The expression level of each annotated lncRNA was normalized by calculating Fragments Per Kilobase of transcript per Million mapped reads (FPKM) using StringTie v1.3.4. The differential expression analysis of lncRNAs between the two goat breeds was performed by DESeq v2.0. The lncRNAs with Fold change > 2 and P -value < 0.05 were defined as differentially expressed lncRNAs. Prediction and function annotation of the target genes of differentially expressed lncRNAs The lncRNAs have been reported to affect the expression of their neighboring genes in cis , while they also influence co-expressed genes in trans . In our previous study, differentially expressed genes were screened from the same caprine Longissimus dorsi muscle tissues as those used in the study, using the thresholds of |fold change| > 2.0 and false discovery rate (FDR) value 2.0 and P value < 0.05 to re-identify differentially expressed genes. The differentially expressed genes screened above were used to search cis and trans target genes. For screening of cis target genes, the coding genes located within 100 kb upstream and downstream of differentially expressed lncRNAs were searched. The search results were compared with differentially expressed genes obtained. The overlapped genes were chosen as cis target genes of differentially expressed lncRNAs. Subsequently, co-expression analysis was performed in expression levels between differentially expressed lncRNAs identified in this study and differentially expressed genes obtained. Briefly, Pearson's coefficients in expression levels between the differentially expressed lncRNAs and the differentially expressed genes were calculated, only the differentially expressed genes with |r| > 0.95 and P -value < 0.05 were chosen as trans target genes of differentially expressed lncRNAs. To further investigate the function of differentially expressed lncRNAs, their cis and trans target genes were used to perform Gene Ontology (GO) and Kyoto Encyclopedia of genes and genomes (KEGG) functional enrichment analysis using the Gene Ontology database ( http://www.geneontology.org/ ) and KEGG database ( http://www.kegg.jp/kegg/ ) [ 53 ], respectively. The significant GO terms and KEGG pathways ( P < 0.05) were screened based on hypergeometric test. Construction of lncRNA-mRNA interaction networks To better understand how these differentially expressed lncRNAs regulate the phenotype differences in meat yield and meat quality between LC and ZB goats, their target genes related to skeletal muscle development, intramuscular fat deposition, and meat tenderness were selected based on GO and KEGG enrichment analysis results as well as their functions reported in literatures. The lncRNA-mRNA interaction networks were finally constructed using Cytoscape v3.5.1. A ceRNA network of lncRNA-miRNA-mRNA Based on our previous Illumina HiSeq miRNA data (SRR16760528-SRR16760537) [ 28 ] and mRNA data (SRR13008213-SRR13008222) [ 26 ] obtained from the same caprine Longissimus dorsi muscle tissues as those used in the study using small RNA sequencing and RNA-Seq, respectively, a lncRNA-associated ceRNA network was constructed according to ceRNA hypothesis as follows [ 54 ]: (1) The target genes and binding lncRNAs of differentially expressed miRNAs between LC goats and ZB goats found from small RNA sequencing were firstly predicted using miReap v0.2, Miranda v3.3a, and TargetScan v7.0, and the predicted results were then overlapped with differentially expressed genes and differentially expressed lncRNAs obtained from RNA-Seq. These overlapped lncRNAs and target genes were preliminary used to construct the ceRNA network. (2) Correlation in expression between the lncRNA and the miRNA or between the miRNA and the mRNA was evaluated using the Spearman's rank correlation coefficient (SCC). Pairs with SCC < -0.7 were selected as negatively co-expressed lncRNA-miRNA or miRNA-mRNA pairs. (3) For lncRNA-miRNA and miRNA-mRNA pairs screened above, correlation in expression between the lncRNA and the mRNA was evaluated using the Pearson correlation coefficient (PCC), only those pairs with PCC > 0.9 were selected as co-expressed lncRNA-mRNA pairs. (4) Hypergeometric cumulative distribution function test was used to test whether a specific common miRNA sponge between a lncRNA and a mRNA was significant. Only pairs with P < 0.05 were selected as candidate ceRNA pairs. The lncRNA-miRNA-mRNA network was therefore visualized using Cytoscape v3.5.1. Validation of differentially expressed lncRNAs To validate the accuracy of RNA-Seq results, 12 differentially expressed lncRNAs appeared in the lncRNA-mRNA interaction networks or the ceRNA network were selected for reverse transcription-quantitative PCR (RT-qPCR) analysis. These included seven up-rgulated lncRNAs (XR_001917386.1, XR_001917605.1, MSTRG.262.1, MSTRG.12645.1, XR_001918614.1, XR_001918921.1, and XR_001917125.1) and five down-regulated lncRNAs (XR_001917948.1, XR_001919911.1, XR_001919918.1, XR_001919910.1, and MSTRG.12980.1) in Longissimus dorsi muscle of LC goats compared to ZB goats. The RNA samples extracted originally for RNA-Seq were used to synthesize cDNA using SuperScript™ II reverse transcriptase (Invitrogen, CA, USA). The RT-qPCR reaction was conducted in triplicate using 2 × ChamQ SYBR qPCR Master Mix (Vazyme, Nanjing, China). The expression levels of the lncRNAs were normalized by caprine GAPDH [ 24 ] and β-actin [ 23 ] and then calculated using 2 −ΔΔCt method. The primer information involved was listed in Table 1 . Table 1 PCR primers used for RT-qPCR RNA Forward (5'→3') Reverse (5'→3') XR_001917386.1 TATGGCCAGAGTTGGGAAAG GGTCATGAGAGGGAGCTGAG XR_001917948.1 CGCTCCTCTGTCTTCCTCAT ACATTCACTCAGGGCTCCAA XR_001917605.1 GGACCTTAGTGTGAGTGCCT CCAGTGTCTTCATGCTGCTC XR_001919911.1 AGATCTGTGGTTGCCTGTGA ACACCCCTTCTTCTCTGCTC XR_001919918.1 ACTTGTCTGGAATTCTGAGTTGC TCATGAACACAAAGACCACAGA XR_001919910.1 GAGCAGAGAAGAAGGGGTGT TCGCCCTGTTAGTCTCCATC MSTRG.262.1 TCTCTCTTCATCCCCTTGCC TGCTCCTGACATCGTTTCCT MSTRG.12645.1 TGGCAGAGTGTTCAGTCCAT CTGGCGGGTTACAGTTCATG MSTRG.12980.1 TGCTTTGGTCGTGTTGTCTG CTCCCCTGTGGCTGTAAAGA XR_001918614.1 TGATGTCAGGAGCAGTGGAG CGTCTGCTTACACGTTTCCA XR_001918921.1 TGGCAGCATCCTTTTCTTCT GGGTGCTTCTCCTGCTAGTG XR_001917125.1 CGCTGACTCTTCCACAATGA CTTCCAGGTCAAAGGCTGAG GAPDH ACACTGAGGACCAGGTTGTG GACAAAGTGGTCGTTGAGGG β-actin AGCCTTCCTTCCTGGGCATGGA GGACAGCACCGTGTTGGCGTAA Abbreviations LncRNA: long non-coding RNA LC: Liaoning cashmere ZB: Ziwuling black MiRNAs: MicroRNAs IGF2: Increasing expression of insulin growth factor 2 Six1: SIX homeobox 1 RNA-Seq: RNA sequencing FPKM: Fragments Per Kilobase of transcript per Million mapped reads FDR: False discovery rate GO: Gene Ontology KEGG: Kyoto Encyclopedia of genes and genomes SCC: Spearman's rank correlation coefficient PCC: Pearson correlation coefficient RT-qPCR: Reverse transcription-quantitative PCR MYL6B: Myosin light chain 6B Declarations Acknowledgements Not applicable. Author contributions JS and JW conceived and designed the experiments. JS, YL, JH, XL and SL performed the experiments. ZH, ML and ZZ analyzed the data. YZ, SY, LW and YG contributed reagents, materials and tools and collected the samples. JS and JW wrote the manuscript and revised the manuscript. All authors read and approved the final manuscript. Funding This research was funded by the fund for the Fuxi Young Talent Fund of Gansu Agricultural University (Gaufx-02Y02), the Science and Technology project of Lanzhou city (2021-1-162), the Central Guidance on Local Science and Technology Development Fund of Gansu Province, Lanzhou City Overseas Expertise Introduction Base for Molecular Breeding of Mutton Sheep, and the Projects of Gansu Agricultural University (GSAU-ZL-2015-033). Availability of data and materials The datasets generated in this study have been deposited at the Sequence Read Archive (https://www.ncbi.nlm.nih.gov/sra) under accession number PRJNA675157. Ethics approval and consent to participate Ethical approval by the Ethics Committee of Gansu Agricultural University, was obtained (Ethic approval file No. GSAU-ETH-AST-2021-028). All experimental procedures and sample collection methods were performed in accordance with approved guidelines and regulations to ensure animal welfare. In this study, written informed consent was obtained from Yongfeng Goat Breeding Company to use these animals. Meanwhile, the study is in accordance with ARRIVE guidelines. Consent for publication Not applicable. Competing interests The authors declare no competing interests. References Teixeira A, Silva S, Rodrigues S. Advances in sheep and goat meat products research. Adv Food Nutr Res. 2019, 87: 305-370. Agliano F, Rathinam VA, Medvedev AE, Vanaja SK, Vella AT. Long noncoding RNAs in Host-Pathogen interactions. Trends immunol. 2019, 40: 492-510. Yao RW, Wang Y, Chen LL. Cellular functions of long noncoding RNAs. Nat Cell Biol. 2019, 21: 542. 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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-1960027","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":130650506,"identity":"ca745da6-4a13-4d88-a6ba-c0c04e6dfd06","order_by":0,"name":"Jiyuan Shen","email":"","orcid":"","institution":"Gansu Agricultural University","correspondingAuthor":false,"prefix":"","firstName":"Jiyuan","middleName":"","lastName":"Shen","suffix":""},{"id":130650507,"identity":"05dc097a-7cc1-4bb8-be0f-d24157a4e813","order_by":1,"name":"Yuzhu Luo","email":"","orcid":"","institution":"Gansu Agricultural 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01:29:12","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-1960027/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-1960027/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":25667868,"identity":"10a72ff5-0dde-4739-add2-9d70b9e68b15","added_by":"auto","created_at":"2022-08-25 16:54:02","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":2120771,"visible":true,"origin":"","legend":"\u003cp\u003eCharacterization of lncRNAs identified in the \u003cem\u003eLongissimus dorsi\u003c/em\u003e muscle tissue of Liaoning cashmere (LC) and Ziwuling black (ZB) goats. \u003cstrong\u003eA\u003c/strong\u003e Venn diagram summarizing the number of lncRNAs expressed only in the LC goats, expressed only in the ZB goats, and common to both breeds. \u003cstrong\u003eB\u003c/strong\u003e The type distribution of lncRNAs identified in this study. Comparison of transcript length \u003cstrong\u003eC\u003c/strong\u003e, expression levels \u003cstrong\u003eD\u003c/strong\u003e, exon number \u003cstrong\u003eE\u003c/strong\u003e, open reading frame (ORF) length \u003cstrong\u003eF \u003c/strong\u003eand coding potential score \u003cstrong\u003eG\u003c/strong\u003e between lncRNAs and mRNAs identified in the two goat breeds.\u003c/p\u003e","description":"","filename":"Figure1.png","url":"https://assets-eu.researchsquare.com/files/rs-1960027/v1/0af65eb36eefce4c4c874db3.png"},{"id":25669826,"identity":"42bc18fa-7750-4016-bfa7-b3fea71f4e7c","added_by":"auto","created_at":"2022-08-25 17:09:02","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":223714,"visible":true,"origin":"","legend":"\u003cp\u003eRT-qPCR validation of 12 differentially expressed lncRNAs identified using RNA-Seq. These included seven up-regulated lncRNAs and five down-regulated lncRNAs in Liaoning cashmere (LC) goats compared to Ziwuling black (ZB) goats.\u003c/p\u003e","description":"","filename":"Figure2.png","url":"https://assets-eu.researchsquare.com/files/rs-1960027/v1/9a71fba8514f9047053e3815.png"},{"id":25669435,"identity":"1db72451-64b5-43a0-9184-e32261cff0c4","added_by":"auto","created_at":"2022-08-25 17:04:02","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":573009,"visible":true,"origin":"","legend":"\u003cp\u003eGO and KEGG analysis of the target genes of differentially expressed lncRNAs identified between Liaoning cashmere (LC) goats and Ziwuling black (ZB) goats. \u003cstrong\u003eA\u003c/strong\u003e The important GO terms related to the growth and development of skeletal muscle and meat tenderness. \u003cstrong\u003eB\u003c/strong\u003e The top fifteen significant pathways enriched by the target genes of differentially expressed lncRNAs. The left side Y-axis represents the number of the target genes of differentially expressed lncRNAs, while the Y axis on the right side shows the value of -Log10 (\u003cem\u003eP\u003c/em\u003e-value).\u0026nbsp;\u003c/p\u003e","description":"","filename":"Figure3.png","url":"https://assets-eu.researchsquare.com/files/rs-1960027/v1/686c5cbfc60d59e281a6902d.png"},{"id":25668708,"identity":"46268868-d109-4b4b-b637-3bd5884fdc94","added_by":"auto","created_at":"2022-08-25 16:59:02","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":1193358,"visible":true,"origin":"","legend":"\u003cp\u003eLncRNA-mRNA interaction networks related to muscle development \u003cstrong\u003eA\u003c/strong\u003e, intramuscular fat deposition \u003cstrong\u003eB\u003c/strong\u003e, and meat tenderness \u003cstrong\u003eC\u003c/strong\u003e. The red triangles and inverted triangles represent up-regulated and down-regulated lncRNAs in \u003cem\u003eLongissimus dorsi\u003c/em\u003e muscle of Liaoning cashmere (LC) goats compared to Ziwuling black (ZB) goats, respectively. The green circles represent the target genes of the differentially expressed lncRNAs.\u003c/p\u003e","description":"","filename":"Figure4.png","url":"https://assets-eu.researchsquare.com/files/rs-1960027/v1/cebdbdde8b5fca7f4e38ccc1.png"},{"id":25669437,"identity":"ab6495a2-8d05-4006-a307-bf4f760d2430","added_by":"auto","created_at":"2022-08-25 17:04:02","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":334787,"visible":true,"origin":"","legend":"\u003cp\u003eA lncRNA-miRNA-mRNA ceRNA network. The red triangles and inverted triangles represent up-regulated and down-regulated lncRNAs in \u003cem\u003eLongissimus dorsi\u003c/em\u003e muscle tissue of Liaoning cashmere (LC) goats compared to Ziwuling black (ZB) goats, respectively. The green squares represent differentially expressed miRNAs sponged by these differentially expressed lncRNAs, while the blue circles represent differentially expressed genes targeted by these differentially expressed miRNAs.\u003c/p\u003e","description":"","filename":"Figure5.png","url":"https://assets-eu.researchsquare.com/files/rs-1960027/v1/5a7b6b8d529a453074dbd4b2.png"},{"id":29701145,"identity":"33f3866c-b99f-4ce3-ae7d-a39a9772e66f","added_by":"auto","created_at":"2022-11-30 05:44:42","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1720053,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-1960027/v1/c77651f1-4fb4-4d01-8413-7028762b7d1d.pdf"},{"id":25667878,"identity":"a94718f2-6d7b-4895-91be-bd0aa1c45d0b","added_by":"auto","created_at":"2022-08-25 16:54:02","extension":"xlsx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":113099,"visible":true,"origin":"","legend":"","description":"","filename":"SupplementaryFile1.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-1960027/v1/d071c756f1c88738b80c7256.xlsx"},{"id":25667872,"identity":"1ea26161-2279-4cc1-8441-cf8f487dac14","added_by":"auto","created_at":"2022-08-25 16:54:02","extension":"xlsx","order_by":2,"title":"","display":"","copyAsset":false,"role":"supplement","size":27657,"visible":true,"origin":"","legend":"","description":"","filename":"SupplementaryFile2.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-1960027/v1/cbd81b25de660f3ad2aa1dc0.xlsx"},{"id":25667879,"identity":"2db30941-1dc4-4701-8dac-ff7a86247c9a","added_by":"auto","created_at":"2022-08-25 16:54:02","extension":"xlsx","order_by":3,"title":"","display":"","copyAsset":false,"role":"supplement","size":72625,"visible":true,"origin":"","legend":"","description":"","filename":"SupplementaryFile3.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-1960027/v1/a4e4a76165b639d8fdbe750c.xlsx"},{"id":25668711,"identity":"8bdc797d-1ef0-4c8b-94f8-ae452947556c","added_by":"auto","created_at":"2022-08-25 16:59:02","extension":"xlsx","order_by":4,"title":"","display":"","copyAsset":false,"role":"supplement","size":29449,"visible":true,"origin":"","legend":"","description":"","filename":"SupplementaryFile4.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-1960027/v1/03cb9f9f871ac5af4636376b.xlsx"},{"id":25667873,"identity":"41fb4943-564e-4e54-acf6-45bbff3c5f32","added_by":"auto","created_at":"2022-08-25 16:54:02","extension":"xlsx","order_by":5,"title":"","display":"","copyAsset":false,"role":"supplement","size":28957,"visible":true,"origin":"","legend":"","description":"","filename":"SupplementaryFile5.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-1960027/v1/3031fb26cb8c8f7f9af1a9ba.xlsx"},{"id":25668713,"identity":"1dfc9b93-b78e-4f35-b06d-5daee6f16835","added_by":"auto","created_at":"2022-08-25 16:59:02","extension":"xlsx","order_by":6,"title":"","display":"","copyAsset":false,"role":"supplement","size":13202,"visible":true,"origin":"","legend":"","description":"","filename":"SupplementaryFile6.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-1960027/v1/85cbbc68e8f90f538e819139.xlsx"},{"id":25667876,"identity":"5de3ea6f-c45e-4bd0-b035-70c5a1964874","added_by":"auto","created_at":"2022-08-25 16:54:02","extension":"docx","order_by":7,"title":"","display":"","copyAsset":false,"role":"supplement","size":27957,"visible":true,"origin":"","legend":"","description":"","filename":"SupplementaryFile7.docx","url":"https://assets-eu.researchsquare.com/files/rs-1960027/v1/24f50bcbccdf466570ea2bb0.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Integrated transcriptome analysis reveals roles of long non- coding RNAs (lncRNAs) in caprine skeletal muscle mass and meat quality","fulltext":[{"header":"Background","content":"\u003cp\u003eDomestic goats (Capra hircus) are one of the most essential farm animals economically. Goat meat is increasingly favored by consumers for higher protein, lower fat as well as unique flavor and palatability when compared to meat produced from other domestic animals [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. It is well known that as other animals, caprine meat yield and quality are regulated by both mRNAs and non-coding RNAs including long non-coding RNAs (lncRNAs), so the identification of the RNAs that regulate skeletal muscle offers an opportunity to improve caprine meat production performance.\u003c/p\u003e \u003cp\u003eThe lncRNAs are a class of novel non-coding RNAs with greater than 200 nucleotides in length. They are primarily transcribed by RNA polymerase II and widely distributed in mammalian cells [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. Although the vast majority of lncRNAs expressed at lower levels compared to protein-coding genes [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e], they were found to play crucial roles in regulation of mRNA expression at transcriptional, post-transcriptional or epigenetic levels. For example, some lncRNAs transcribed from genome sequence containing \u003cem\u003ecis\u003c/em\u003e-regulatory DNA elements can regulate expression of their neighboring genes in \u003cem\u003ecis\u003c/em\u003e by affecting their transcription [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. The lncRNAs can also \u003cem\u003etrans\u003c/em\u003e-regulate the expression of the target genes by interacting with \u003cem\u003etrans\u003c/em\u003e-acting factors [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. In addition, some lncRNAs act as competing endogenous RNAs (ceRNAs) to sequester microRNAs (miRNAs), eventually leading to increase the expression of the target gene by miRNAs at post-transcriptional level [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. In this context, lncRNAs are considered to widely involve in embryonic development, organ morphogenesis, as well as cell cycles, including differentiation, proliferation, and apoptosis [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eIt has been confirmed that lncRNAs played important roles in the growth and development of skeletal muscle. For example, lncR-125b accelerated differentiation of caprine muscle satellite cells by increasing expression of insulin growth factor 2 (\u003cem\u003eIGF2\u003c/em\u003e) derived from a ceRNA for miR-125b [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. LncRNA-Six1 promoted chicken muscle growth by \u003cem\u003ecis\u003c/em\u003e-regulating expression of the target gene SIX homeobox 1 (\u003cem\u003eSix1\u003c/em\u003e) [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. Additionally, lncMAAT was found to regulate muscle atrophy by negatively regulating the expression of miR-29b [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. Meanwhile, the expression profiles of lncRNAs in skeletal muscle tissues were also investigated and lncRNAs were found to be differentially expressed in samples with different genetic backgrounds. However, these studies in livestock have mainly been focused on sheep [\u003cspan additionalcitationids=\"CR11\" citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e], cattle [\u003cspan additionalcitationids=\"CR14\" citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e], chicken [\u003cspan additionalcitationids=\"CR17\" citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e], and pigs [\u003cspan additionalcitationids=\"CR20\" citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eDespite there being some studies reporting lncRNAs expression profiles of skeletal muscle tissues in goats, these studies were all performed with muscle samples collected from different developmental periods. For example, a total of 547 lncRNAs were differentially expressed in skeletal muscles of Anhui white goats among five fetal stages and two kid stages, and they were involved in signaling pathways closely associated with muscle development, including structure formation, p53 signaling pathway, and MAPK signaling pathway [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]. Additionally, 577 and 648 differentially expressed lncRNAs were found in skeletal muscle tissues between embryonic and postnatal stages of Jianzhou big-eared goats and Dazu black goats, respectively [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e]. However, there have been no reports on comparison of lncRNAs expression profiles in skeletal muscle tissues between different goat breeds.\u003c/p\u003e \u003cp\u003eIn this study, Liaoning cashmere (LC) goats and Ziwuling black (ZB) goats were selected for the investigation. The two breeds are all dual-purpose breed for meat and cashmere fiber, and have significant difference in meat production performance. Briefly, LC goats have higher carcass weight, net meat weight, muscle fiber size, and intramuscular fat content, but have poorer meat tenderness compared to ZB goats (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05) [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]. RNA-Seq analysis of the same \u003cem\u003eLongissimus dorsi\u003c/em\u003e muscle tissues as those used in the study revealed that differentially expressed genes, miRNAs and circular RNAs (circRNAs) were responsible for these phenotypic differences [\u003cspan additionalcitationids=\"CR27\" citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e]. However, the biological mechanism by lncRNAs regulate meat production performance difference is still unclear. Accordingly, the expression profiles of lncRNAs in \u003cem\u003eLongissimus dorsi\u003c/em\u003e muscle tissues between LC and ZB goats were compared using RNA sequencing (RNA-Seq), and differentially expressed lncRNAs were then screened. We also analyzed functional enrichment of the target genes, and constructed lncRNA-mRNA interaction networks and a ceRNA network of lncRNA-miRNA-mRNA, with the aim of uncovering the possible function of lncRNAs in muscle growth and development of goats.\u003c/p\u003e"},{"header":"Results","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eIdentification and characterization of lncRNAs in caprine skeletal muscle\u003c/h2\u003e \u003cp\u003eFor the ten \u003cem\u003eLongissimus dorsi\u003c/em\u003e muscle tissue samples (five LC goats and five ZB goats), their clean reads and mapped results to the Caprine Genome Assembly ARS1 have been described in our previous study [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e]. In this study, a total of 2,302 lncRNAs were identified, including 1,767 known caprine lncRNAs and 535 novel lncRNAs (Supplementary File 1). Of all the lncRNAs identified, 1,945 lncRNAs were co-expressed in the two goat breeds, while 178 and 179 lncRNAs were specifically expressed in LC and ZB goats, respectively (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eA). Of the five lncRNA types classified according to their location relative to protein-coding genes, intergenic lncRNA was the most common with a proportion of 54.4%, followed by antisense lncRNAs (15.3%) and bidirectional lncRNAs (15.3%). Sense lncRNAs (3.4%) and intronic lncRNAs (2.3%) were the least. In addition, 9.3% lncRNAs were defined as other type of lncRNAs that were not classified into the five types (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eB).\u003c/p\u003e \u003cp\u003eIn our previous study, the mRNA expression profiles of the same \u003cem\u003eLongissimus dorsi\u003c/em\u003e muscle tissues as those used in the study has been reported [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e]. In this study, characteristics in \u003cem\u003eLongissimus dorsi\u003c/em\u003e muscle between lncRNAs and mRNAs identified were accordingly compared. The average transcript length of known lncRNAs identified in this study was 1,668 bp, which was less than novel lncRNAs and mRNAs with an average length of 5,065 and 3,674 bp, respectively (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eC). The average expression level of lncRNAs was far less than mRNA transcripts (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eD). The average exon number of known and novel lncRNAs was 3.8 and 2.6, respectively, which was much less than average 12.7 exons for mRNAs (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eE). Additionally, the average length of open reading frame (ORF) of known and novel lncRNAs was shorter than mRNAs (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eF). This was consistent with the results that lncRNAs had much lower average coding potential score than mRNAs (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eG).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003eScreening and validation of differentially expressed lncRNAs\u003c/h2\u003e \u003cp\u003eA total of 136 differentially expressed lncRNAs were identified in comparing \u003cem\u003eLongissimus dorsi\u003c/em\u003e muscle tissue from LC goats with \u003cem\u003eLongissimus dorsi\u003c/em\u003e muscle tissue from ZB goats. These included 62 up-regulated lncRNAs and 74 down-regulated lncRNAs in the \u003cem\u003eLongissimus dorsi\u003c/em\u003e muscle of LC goats (Supplementary File 2).\u003c/p\u003e \u003cp\u003eThe results from RT-qPCR showed that the relative expression levels of the 12 differentially expressed lncRNAs selected were in accordance with those obtained from RNA-Seq (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). This confirmed the reliability and repeatability of the RNA-Seq results.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003ePrediction and function annotation of the target genes of differentially expressed lncRNAs\u003c/h2\u003e \u003cp\u003eTo predict the target genes of differentially expressed lncRNAs, a total of 391 up-regulated genes and 222 down-regulated genes in the same \u003cem\u003eLongissimus dorsi\u003c/em\u003e muscle as those used in the study, were re-identified in LC goats when comparing to ZB goats (Supplementary File 3). In this study, 15 \u003cem\u003ecis\u003c/em\u003e target genes were predicted for 18 differentially expressed lncRNAs, resulting in 22 lncRNA-\u003cem\u003ecis\u003c/em\u003e target gene pairs (Supplementary File 4). Additionally, 143 \u003cem\u003etrans\u003c/em\u003e target genes were predicted for 58 differentially expressed lncRNAs, resulting in 203 lncRNA-\u003cem\u003etrans\u003c/em\u003e target gene pairs (Supplementary File 4). However, there were no target genes predicted for the remaining 60 differentially expressed lncRNAs.\u003c/p\u003e \u003cp\u003eThe target genes in \u003cem\u003ecis\u003c/em\u003e and \u003cem\u003etrans\u003c/em\u003e were significantly enriched in 155 biological process (GO-BP) terms, 19 cellular components (GO-CC) terms, and 19 molecular function (GO-MF) terms (Supplementary File 5). It was noteworthy that some significant GO terms directly related to the growth and development of skeletal muscle were found (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003eA), including muscle contraction (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.002), regulation of muscle contraction (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.004), muscle system process (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.014), regulation of muscle system process (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.022), muscle cell differentiation (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.040), and striated muscle cell differentiation (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.041). In addition, connective tissue development process related to meat tenderness was also significantly enriched by several target genes (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.010) (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003eA).\u003c/p\u003e \u003cp\u003eKEGG pathway analysis showed that the target genes were significantly enriched in 19 signaling pathways (Supplementary File 5) and the top fifteen significant pathways with the lowest \u003cem\u003eP\u003c/em\u003e value are shown in Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003eB. Systemic lupus erythematosus was the most enriched pathway (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;=\u0026thinsp;2.685E-05), followed by alcoholism (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;=\u0026thinsp;2.623E-04) and allograft rejection (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.007). The p53 signaling pathway (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.023) was noteworthy as it played dual roles in the growth and development of muscle and adipose tissues (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003eB).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003eConstruction of lncRNA-mRNA interaction networks\u003c/h2\u003e \u003cp\u003eGiven unknown roles for 15 \u003cem\u003ecis\u003c/em\u003e target genes in meat yield and quality, their interaction network with lncRNAs was not constructed. Of 203 lncRNA-\u003cem\u003etrans\u003c/em\u003e target gene pairs described above, based on the roles of the target genes in meat yield and quality, a total of 69 lncRNA-\u003cem\u003etrans\u003c/em\u003e target gene pairs were further selected to construct lncRNA-mRNA interaction networks, including 38 pairs related to muscle development (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003eA), 18 pairs associated with intramuscular fat deposition (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003eB) and 13 pairs related to meat tenderness (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003eC). For example, the target genes \u003cem\u003eCDK1\u003c/em\u003e, \u003cem\u003eGREM1\u003c/em\u003e, \u003cem\u003eMEGF10\u003c/em\u003e, and \u003cem\u003eDNER\u003c/em\u003e were involved in muscle cell differentiation process (Supplementary File 5). The target genes \u003cem\u003eRORC\u003c/em\u003e, \u003cem\u003eKLK7\u003c/em\u003e and \u003cem\u003eRYR3\u003c/em\u003e were relate to adipogenesis [\u003cspan additionalcitationids=\"CR30\" citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e], while the target genes \u003cem\u003eGREM1\u003c/em\u003e and \u003cem\u003eLOXL2\u003c/em\u003e were involved in connective tissue development process affecting meat tenderness [\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e].\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003eConstruction of a lncRNA-miRNA-mRNA ceRNA network\u003c/h2\u003e \u003cp\u003eIn addition to the roles in regulating expression of the target genes, lncRNAs can also function as miRNA sponges to increase expression level of the target genes by miRNAs. In this study, a total of 16 lncRNA-miRNA-mRNA ceRNA pairs were identified (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05) (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003e; Supplementary File 6). It was noteworthy that several ceRNA networks related to the growth and development of skeletal muscle were found including XR_001917125.1-miR-34-3p-\u003cem\u003eNCAM2\u003c/em\u003e, XR_001917125.1-miR-460-5p-\u003cem\u003eNCAM2\u003c/em\u003e and XR_001918832.1-miR-200c-\u003cem\u003eCRHBP\u003c/em\u003e. A ceRNA network related to fat deposition was also found including XR_001918832.1-miR-200b-\u003cem\u003eCRHBP\u003c/em\u003e.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e"},{"header":"Discussion","content":"\u003cp\u003eMeat production performance is a kind of complex economic traits that include multiple important traits influencing meat yield and meat quality. For example, carcass weight and net meat weight directly reflect meat yield. Meat tenderness is regarded as important palatability trait that significantly affects consumer acceptance for meat, while intramuscular fat influences sensory quality of meat, including flavor, juiciness and tenderness [\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e]. An increasing number of evidences suggest that meat yield and quality traits can be directly regulated by some non-coding RNAs. Given that lncRNAs account for 80% of the total number of non-coding RNAs, the role of lncRNAs in skeletal muscle are worthy of further investigation.\u003c/p\u003e \u003cp\u003eIn this study, a total of 2,302 lncRNAs were identified in \u003cem\u003eLongissimus dorsi\u003c/em\u003e muscle of goats, and this was less than those reported in muscle tissue of Jianzhou big-eared goats with an average of 2,739 lncRNAs identified [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]. This may partly reflect breed-specific expression pattens of lncRNAs. Additionally, the number of lncRNAs identified in this study was more than those for a study in \u003cem\u003eLongissimus dorsi\u003c/em\u003e muscle of sheep [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e], but less than those reported in cattle by Yan et al. [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]. The differences may be related to species-specific expression of lncRNAs. The characteristics of lncRNAs identified in this study are in concordance with previous studies in skeletal muscle tissue. For example, intergenic lncRNA was found to be the most common in skeletal muscle of Dazu black goats [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e], rabbit [\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e] and cattle [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. Our observation that known lncRNAs had shorter transcript length than mRNAs, is consistent with findings in Anhui white goats [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e], cattle [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e] and donkey [\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e]. As expected, lncRNAs found in this study had much lower expression levels and coding potential score, shorter ORF length and fewer exon number when comparing to mRNA transcripts. The phenomenon has also been reported in skeletal muscle of Anhui white goats [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e] and Jianzhou big-eared goats [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThe regulation of the target genes in expression is one of the main functions of lncRNA. In lncRNA-mRNA interaction networks constructed in the study (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003eA, B), up-regulated MSTRG.262.1, XR_001917125.1 and XR_001917605.1 in LC goats may regulate both myogenesis and adipogenesis as their some \u003cem\u003etrans\u003c/em\u003e target genes \u003cem\u003eGREM1\u003c/em\u003e, \u003cem\u003eMEGF10\u003c/em\u003e, and \u003cem\u003eDNER\u003c/em\u003e were involved in muscle cell differentiation and striated muscle cell differentiation process (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05), while other \u003cem\u003etrans\u003c/em\u003e target genes \u003cem\u003eCDK1\u003c/em\u003e and \u003cem\u003eRRM2\u003c/em\u003e were enriched in p53 signaling pathway (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05) that played dual roles in muscle cell differentiation [\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e] and adipogenesis [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e]. In addition, MSTRG.262.1 would target \u003cem\u003eMYOZ2\u003c/em\u003e and \u003cem\u003eANKRD2\u003c/em\u003e, while XR_001917125.1 would target \u003cem\u003eMYOZ2\u003c/em\u003e. The genes \u003cem\u003eMYOZ2\u003c/em\u003e and \u003cem\u003eANKRD2\u003c/em\u003e were found to be up-regulated in the same \u003cem\u003eLongissimus dorsi\u003c/em\u003e muscle tissue of LC goats as those used in the study (Supplementary File 3) and were also reported to positively regulate muscle cell differentiation [\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e]. It was therefore inferred that the three up-regulated lncRNAs in LC goats may be responsible for the meat production and intramuscular fat content differences between LC goats and ZB goats.\u003c/p\u003e \u003cp\u003eIt was noteworthy that MSTRG.262.1 and XR_001917125.1 also appeared in the interaction network related to meat tenderness. The lncRNAs were co-expressed with myosin light chain 6B (\u003cem\u003eMYL6B\u003c/em\u003e) and collagen alpha-1(III) chain (LOC102176755) (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003eC). \u003cem\u003eMYL6B\u003c/em\u003e was a crucial muscle structure component and its nucleotide sequence variations were found to affect beef tenderness [\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e]. LOC102176755 encodes a type of collagen that has a strong negative effect on meat tenderness [\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e]. The GO analysis result further supported the effect of XR_001917125.1 on meat tenderness as its other two up-regulated \u003cem\u003etrans\u003c/em\u003e target genes (\u003cem\u003eGREM1\u003c/em\u003e and \u003cem\u003eLOXL2\u003c/em\u003e) in \u003cem\u003eLongissimus dorsi\u003c/em\u003e muscle of LC goats (Supplementary File 3) were involved in connective tissue development process (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05) (Supplementary File 5). Connective tissue is mainly composed of collagen, which its content was highly positively correlated with the shear force value of beef (r\u0026thinsp;=\u0026thinsp;0.95) [\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e]. In this context, the two lncRNAs may also regulate meat tenderness difference between the two breeds.\u003c/p\u003e \u003cp\u003eTwo up-regulated lncRNAs (XR_001917386.1, XR_001918614.1) and one down-regulated lncRNA (XR_001297059.2) in LC goats caught our attention as their \u003cem\u003etrans\u003c/em\u003e target genes (\u003cem\u003eSMPX\u003c/em\u003e and \u003cem\u003eRYR3\u003c/em\u003e) were enriched in muscle contraction (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.01) and muscle system process (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05) (Supplementary File 5). Of the two target genes, up-regulated \u003cem\u003eSMPX\u003c/em\u003e (Supplementary File 3) would be \u003cem\u003etrans\u003c/em\u003e-regulated by up-regulated XR_001917386.1 and XR_001918614.1 in LC goats. SMPX was also known as small muscle protein, in that it was a positive regulator of muscle fiber size [\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e]. We therefore speculated that the up-regulation of \u003cem\u003eSMPX\u003c/em\u003e in skeletal muscle of LC goats may be partly caused by \u003cem\u003etrans\u003c/em\u003e-regulation of XR_001917386.1 and XR_001918614.1, eventually resulting in a higher muscle fiber size in LC goats. The lncRNA XR_001297059.2 was down-regulated in LC goats with higher intramuscular fat content (Supplementary File 2). This was not surprising as its \u003cem\u003etrans\u003c/em\u003e target gene \u003cem\u003eRYR3\u003c/em\u003e played a negative role in adipogenesis [\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e] and was also down-regulated in LC goats (Supplementary File 3).\u003c/p\u003e \u003cp\u003eIn interaction network related to muscle development, \u003cem\u003eNR5A2\u003c/em\u003e was common \u003cem\u003etrans\u003c/em\u003e target gene of seven differentially expressed lncRNAs (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003eA). NR5A2 has been reported to regulate muscle morphogenesis and glucose metabolism in muscle cells [\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e]. Similarly, \u003cem\u003eRORC\u003c/em\u003e would be collectively \u003cem\u003etrans\u003c/em\u003e-regulated by six differentially expressed lncRNAs in interaction network related to intramuscular fat deposition (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003eB) and meat tenderness (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003eC). \u003cem\u003eRORC\u003c/em\u003e was enriched in connective tissue development process related to meat tenderness (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05) (Supplementary File 5). The variations in \u003cem\u003eRORC\u003c/em\u003e were also associated with intramuscular fat and marbling score of cattle [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e]. These suggest that these multiple lncRNAs may play roles in skeletal muscle development and intramuscular fat deposition in goats by collectively \u003cem\u003etrans\u003c/em\u003e-regulating \u003cem\u003eNR5A2\u003c/em\u003e or \u003cem\u003eRORC\u003c/em\u003e.\u003c/p\u003e \u003cp\u003eOther differentially expressed lncRNAs involved in the lncRNA-mRNA interaction networks may also regulate the phenotype differences of the two goat breeds in meat yield and meat quality. For example, up-regulated MSTRG.12645.1 in \u003cem\u003eLongissimus dorsi\u003c/em\u003e muscle of LC goats compared to ZB goats would be co-expressed with \u003cem\u003eKLK7\u003c/em\u003e, which was also identified as an up-regulated gene in LC goats (Supplementary File 3). \u003cem\u003eKLK7\u003c/em\u003e led to an increase of body fat mass in mice [\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e]. The up-regulated XR_001918823.1 in LC goats would target \u003cem\u003eSLC7A8\u003c/em\u003e that was up-regulated in \u003cem\u003eLongissimus dorsi\u003c/em\u003e muscle of LC goats compared to ZB goats (Supplementary File 3). \u003cem\u003eSLC7A8\u003c/em\u003e was reported to promote muscle growth by weaking proteolysis [\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e]. However, 15 \u003cem\u003ecis\u003c/em\u003e target genes predicted for differentially expressed lncRNAs obtained in this study were not found in the three lncRNA-mRNA interaction networks. This suggest that these differentially expressed lncRNAs screened in this study play roles in skeletal muscle development and meat quality mainly through a \u003cem\u003etrans\u003c/em\u003e-regulatory mechanism.\u003c/p\u003e \u003cp\u003eThe lncRNA can also act as a sponge for miRNA to relieve the repression of the target mRNA by miRNA, with an accompanying increase in expression level of mRNAs in mammalian cells [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. In the study, up-regulated XR_001918832.1 in LC goats was predicted to be a sponge of miR-200b and miR-200c to regulate the expression of \u003cem\u003eCRHBP\u003c/em\u003e (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003e). The miR-200b was reported to suppress proliferation of C2C12 myoblast [\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e] and differentiation of ovine preadipocytes [\u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e], while miR-200c inhibited differentiation of C2C12 myoblast [\u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e]. It was therefore speculated that up-regulated XR_001918832.1 in LC goats may sponge-absorb miR-200b/miR-200c to positively regulate caprine muscle development and intramuscular fat. Similarly, up-regulated XR_001917125.1 in LC goats would increase the expression of \u003cem\u003eNCAM2\u003c/em\u003e by relieving the repression effect of miR-34-3p and miR-460-5p (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003e). Given that \u003cem\u003eNCAM2\u003c/em\u003e promoted myogenesis of mice [\u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e], up-regulation of XR_001917125.1 would result in a higher skeletal muscle mass in LC goats compared to ZB goats. These suggest that ceRNA mechanisms may partly explain the phenotype differences in skeletal muscle mass and intramuscular fat between LC goats and ZB goats. However, the lncRNA-miRNA-mRNA ceRNA networks predicted in the study need to be further corroborated.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eIn summary, we identified 136 differentially expressed lncRNAs in muscle tissues between LC goats and ZB goats. The target genes of the differentially expressed lncRNAs were related to phenotype differences in meat production, intramuscular fat deposition and meat tenderness between the two caprine breeds. Several lncRNAs may responsible for the differences via ceRNA mechanism, including XR_001918832.1-miR-200b/miR-200c-\u003cem\u003eCRHBP\u003c/em\u003e and XR_001917125.1-miR-34-3p/miR-460-5p-\u003cem\u003eNCAM2\u003c/em\u003e.\u003c/p\u003e"},{"header":"Methods","content":"\u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003eEthics statement\u003c/h2\u003e \u003cp\u003e All animal procedures in this study were approved by Animal Experiment Ethics Committee of Gansu Agricultural University with an approval number of GSAU-ETH-AST-2021-028.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec12\" class=\"Section2\"\u003e \u003ch2\u003eExperimental animals and sample collection\u003c/h2\u003e \u003cp\u003eFive healthy nine-month-old LC goats and five healthy nine-month-old ZB goats raised under the same environmental conditions and nutrition program, were selected from the Yongfeng Goat Breeding Company (Huan County, Gansu Province, China). All the experimental animals were slaughtered by arterial bleeding, while under general anesthesia induced intravenously with Propofol (B.Braun, Melsungen, Germany; 5 mg kg\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e body weight). Their meat yield and quality were measured after slaughter and are presented in Supplementary File 7. The \u003cem\u003eLongissimus dorsi\u003c/em\u003e muscle was collected from the region between 12th and 13th ribs in the left half carcass from each goat. These tissue samples were immediately stored in liquid nitrogen for RNA extraction.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec13\" class=\"Section2\"\u003e \u003ch2\u003eRNA-Sequencing\u003c/h2\u003e \u003cp\u003eTotal RNA from the ten muscle samples was isolated using Trizol reagent kit (Invitrogen, Carlsbad, CA, USA). Its concentration and RNA Integrity Number (RIN) were measured using a Nanodrop 2000 (Thermo Scientific, MA, USA) and Agilent 2100 Bioanalyzer (Agilent, CA, USA), respectively. Only samples with an RIN value\u0026thinsp;\u0026gt;\u0026thinsp;7 were used for subsequent cDNA library construction. The Ribosomal RNA (rRNA) was removed from total RNA using a Ribo-Zero Gold rRNA Removal Kit (Illumina, CA, United States), and the remaining \u003cem\u003eLongissimus dorsi\u003c/em\u003e muscle RNA was used to generate complementary DNA (cDNA) libraries using a NEBNext Ultra RNA Library Prep Kit (New England Biolabs, MA, United States). The cDNA libraries obtained were paired-end sequenced using an Illumina HiSeqTM 4000 sequencer (Illumina, CA, United States) at Gene Denovo Biotechnology Co., Ltd (Guangzhou, China).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec14\" class=\"Section2\"\u003e \u003ch2\u003eIdentification and characterization of lncRNAs\u003c/h2\u003e \u003cp\u003eThe clean reads were obtained by removing low-quality reads with quality scores\u0026thinsp;\u0026lt;\u0026thinsp;Q20, reads with \u0026gt;\u0026thinsp;10% unknown nucleotides, and adaptor reads from raw reads using Fastp v0.18.0. The clean reads were aligned against Caprine Genome Assembly ARS1 using HISAT2 v2.1.0 and the known lncRNAs were then identified according to the alignment results. Subsequently, the mapped results from HISAT2 v2.1.0 were assembled to transcripts using Stringtie v1.3.4 and the novel lncRNAs were then identified. Briefly, the transcripts with smaller than 200 nucleotides in length or those with a single exon were discarded. The coding potential of the remaining transcripts were predicted by CNCI v2.0 [\u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e] and CPC v0.9-r2 [\u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e52\u003c/span\u003e] and the predicted results from the two kinds of software were intersected. These transcripts with coding potential score\u0026thinsp;\u0026lt;\u0026thinsp;0 were considered to be novel lncRNAs. The identified caprine lncRNAs were characterized by analyzing types, transcript length, exon number, and coding potential score to mRNAs identified from the same muscle samples as those used in the study [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e], using in-house Perl scripts.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec15\" class=\"Section2\"\u003e \u003ch2\u003eScreening of differentially expressed lncRNAs\u003c/h2\u003e \u003cp\u003eThe expression level of each annotated lncRNA was normalized by calculating Fragments Per Kilobase of transcript per Million mapped reads (FPKM) using StringTie v1.3.4. The differential expression analysis of lncRNAs between the two goat breeds was performed by DESeq v2.0. The lncRNAs with Fold change\u0026thinsp;\u0026gt;\u0026thinsp;2 and \u003cem\u003eP\u003c/em\u003e-value\u0026thinsp;\u0026lt;\u0026thinsp;0.05 were defined as differentially expressed lncRNAs.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec16\" class=\"Section2\"\u003e \u003ch2\u003ePrediction and function annotation of the target genes of differentially expressed lncRNAs\u003c/h2\u003e \u003cp\u003eThe lncRNAs have been reported to affect the expression of their neighboring genes in \u003cem\u003ecis\u003c/em\u003e, while they also influence co-expressed genes in \u003cem\u003etrans\u003c/em\u003e. In our previous study, differentially expressed genes were screened from the same caprine \u003cem\u003eLongissimus dorsi\u003c/em\u003e muscle tissues as those used in the study, using the thresholds of |fold change| \u0026gt; 2.0 and false discovery rate (FDR) value\u0026thinsp;\u0026lt;\u0026thinsp;0.05 [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e]. In order to obtain more target genes of lncRNAs, we adjusted the thresholds to |fold change| \u0026gt; 2.0 and \u003cem\u003eP\u003c/em\u003e value\u0026thinsp;\u0026lt;\u0026thinsp;0.05 to re-identify differentially expressed genes. The differentially expressed genes screened above were used to search cis and \u003cem\u003etrans\u003c/em\u003e target genes. For screening of \u003cem\u003ecis\u003c/em\u003e target genes, the coding genes located within 100 kb upstream and downstream of differentially expressed lncRNAs were searched. The search results were compared with differentially expressed genes obtained. The overlapped genes were chosen as \u003cem\u003ecis\u003c/em\u003e target genes of differentially expressed lncRNAs. Subsequently, co-expression analysis was performed in expression levels between differentially expressed lncRNAs identified in this study and differentially expressed genes obtained. Briefly, Pearson's coefficients in expression levels between the differentially expressed lncRNAs and the differentially expressed genes were calculated, only the differentially expressed genes with |r| \u0026gt; 0.95 and \u003cem\u003eP\u003c/em\u003e-value\u0026thinsp;\u0026lt;\u0026thinsp;0.05 were chosen as \u003cem\u003etrans\u003c/em\u003e target genes of differentially expressed lncRNAs.\u003c/p\u003e \u003cp\u003eTo further investigate the function of differentially expressed lncRNAs, their \u003cem\u003ecis\u003c/em\u003e and \u003cem\u003etrans\u003c/em\u003e target genes were used to perform Gene Ontology (GO) and Kyoto Encyclopedia of genes and genomes (KEGG) functional enrichment analysis using the Gene Ontology database (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://www.geneontology.org/\u003c/span\u003e\u003cspan address=\"http://www.geneontology.org/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e) and KEGG database (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://www.kegg.jp/kegg/\u003c/span\u003e\u003cspan address=\"http://www.kegg.jp/kegg/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e) [\u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e53\u003c/span\u003e], respectively. The significant GO terms and KEGG pathways (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05) were screened based on hypergeometric test.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec17\" class=\"Section2\"\u003e \u003ch2\u003eConstruction of lncRNA-mRNA interaction networks\u003c/h2\u003e \u003cp\u003eTo better understand how these differentially expressed lncRNAs regulate the phenotype differences in meat yield and meat quality between LC and ZB goats, their target genes related to skeletal muscle development, intramuscular fat deposition, and meat tenderness were selected based on GO and KEGG enrichment analysis results as well as their functions reported in literatures. The lncRNA-mRNA interaction networks were finally constructed using Cytoscape v3.5.1.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec18\" class=\"Section2\"\u003e \u003ch2\u003eA ceRNA network of lncRNA-miRNA-mRNA\u003c/h2\u003e \u003cp\u003eBased on our previous Illumina HiSeq miRNA data (SRR16760528-SRR16760537) [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e] and mRNA data (SRR13008213-SRR13008222) [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e] obtained from the same caprine \u003cem\u003eLongissimus dorsi\u003c/em\u003e muscle tissues as those used in the study using small RNA sequencing and RNA-Seq, respectively, a lncRNA-associated ceRNA network was constructed according to ceRNA hypothesis as follows [\u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e54\u003c/span\u003e]: (1) The target genes and binding lncRNAs of differentially expressed miRNAs between LC goats and ZB goats found from small RNA sequencing were firstly predicted using miReap v0.2, Miranda v3.3a, and TargetScan v7.0, and the predicted results were then overlapped with differentially expressed genes and differentially expressed lncRNAs obtained from RNA-Seq.\u0026nbsp;These overlapped lncRNAs and target genes were preliminary used to construct the ceRNA network. (2) Correlation in expression between the lncRNA and the miRNA or between the miRNA and the mRNA was evaluated using the Spearman's rank correlation coefficient (SCC). Pairs with SCC \u0026lt; -0.7 were selected as negatively co-expressed lncRNA-miRNA or miRNA-mRNA pairs. (3) For lncRNA-miRNA and miRNA-mRNA pairs screened above, correlation in expression between the lncRNA and the mRNA was evaluated using the Pearson correlation coefficient (PCC), only those pairs with PCC\u0026thinsp;\u0026gt;\u0026thinsp;0.9 were selected as co-expressed lncRNA-mRNA pairs. (4) Hypergeometric cumulative distribution function test was used to test whether a specific common miRNA sponge between a lncRNA and a mRNA was significant. Only pairs with \u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05 were selected as candidate ceRNA pairs. The lncRNA-miRNA-mRNA network was therefore visualized using Cytoscape v3.5.1.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec19\" class=\"Section2\"\u003e \u003ch2\u003eValidation of differentially expressed lncRNAs\u003c/h2\u003e \u003cp\u003eTo validate the accuracy of RNA-Seq results, 12 differentially expressed lncRNAs appeared in the lncRNA-mRNA interaction networks or the ceRNA network were selected for reverse transcription-quantitative PCR (RT-qPCR) analysis. These included seven up-rgulated lncRNAs (XR_001917386.1, XR_001917605.1, MSTRG.262.1, MSTRG.12645.1, XR_001918614.1, XR_001918921.1, and XR_001917125.1) and five down-regulated lncRNAs (XR_001917948.1, XR_001919911.1, XR_001919918.1, XR_001919910.1, and MSTRG.12980.1) in \u003cem\u003eLongissimus dorsi\u003c/em\u003e muscle of LC goats compared to ZB goats. The RNA samples extracted originally for RNA-Seq were used to synthesize cDNA using SuperScript\u0026trade; II reverse transcriptase (Invitrogen, CA, USA). The RT-qPCR reaction was conducted in triplicate using 2 \u0026times; ChamQ SYBR qPCR Master Mix (Vazyme, Nanjing, China). The expression levels of the lncRNAs were normalized by caprine \u003cem\u003eGAPDH\u003c/em\u003e [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e] and \u003cem\u003eβ-actin\u003c/em\u003e [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e] and then calculated using 2\u003csup\u003e\u0026minus;ΔΔCt\u003c/sup\u003e method. The primer information involved was listed in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e.\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\u003ePCR primers used for RT-qPCR\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"3\"\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 \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRNA\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eForward (5'\u0026rarr;3')\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eReverse (5'\u0026rarr;3')\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eXR_001917386.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eTATGGCCAGAGTTGGGAAAG\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eGGTCATGAGAGGGAGCTGAG\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eXR_001917948.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCGCTCCTCTGTCTTCCTCAT\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eACATTCACTCAGGGCTCCAA\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eXR_001917605.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eGGACCTTAGTGTGAGTGCCT\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eCCAGTGTCTTCATGCTGCTC\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eXR_001919911.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAGATCTGTGGTTGCCTGTGA\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eACACCCCTTCTTCTCTGCTC\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eXR_001919918.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eACTTGTCTGGAATTCTGAGTTGC\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTCATGAACACAAAGACCACAGA\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eXR_001919910.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eGAGCAGAGAAGAAGGGGTGT\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTCGCCCTGTTAGTCTCCATC\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMSTRG.262.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eTCTCTCTTCATCCCCTTGCC\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTGCTCCTGACATCGTTTCCT\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMSTRG.12645.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eTGGCAGAGTGTTCAGTCCAT\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eCTGGCGGGTTACAGTTCATG\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMSTRG.12980.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eTGCTTTGGTCGTGTTGTCTG\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eCTCCCCTGTGGCTGTAAAGA\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eXR_001918614.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eTGATGTCAGGAGCAGTGGAG\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eCGTCTGCTTACACGTTTCCA\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eXR_001918921.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eTGGCAGCATCCTTTTCTTCT\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eGGGTGCTTCTCCTGCTAGTG\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eXR_001917125.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCGCTGACTCTTCCACAATGA\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eCTTCCAGGTCAAAGGCTGAG\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eGAPDH\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eACACTGAGGACCAGGTTGTG\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eGACAAAGTGGTCGTTGAGGG\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eβ-actin\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAGCCTTCCTTCCTGGGCATGGA\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eGGACAGCACCGTGTTGGCGTAA\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e"},{"header":"Abbreviations","content":"\u003cp\u003eLncRNA: long non-coding RNA\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eLC: Liaoning cashmere\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eZB: Ziwuling black\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eMiRNAs: MicroRNAs\u003c/p\u003e\n\u003cp\u003eIGF2: Increasing expression of insulin growth factor 2\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eSix1: SIX homeobox 1\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eRNA-Seq: RNA sequencing\u003c/p\u003e\n\u003cp\u003eFPKM: Fragments Per Kilobase of transcript per Million mapped reads\u003c/p\u003e\n\u003cp\u003eFDR: False discovery rate\u003c/p\u003e\n\u003cp\u003eGO: Gene Ontology\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eKEGG: Kyoto Encyclopedia of genes and genomes\u003c/p\u003e\n\u003cp\u003eSCC: Spearman\u0026apos;s rank correlation coefficient\u003c/p\u003e\n\u003cp\u003ePCC: Pearson correlation coefficient\u003c/p\u003e\n\u003cp\u003eRT-qPCR: Reverse transcription-quantitative PCR\u003c/p\u003e\n\u003cp\u003eMYL6B: Myosin light chain 6B\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eJS and JW conceived and designed the experiments. JS, YL, JH, XL and SL performed the experiments. ZH, ML and ZZ analyzed the data. YZ, SY, LW and YG contributed reagents, materials and tools and collected the samples. JS and JW wrote the manuscript and revised the manuscript. All authors read and approved the final manuscript. \u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis research was funded by the fund for the Fuxi Young Talent Fund of Gansu Agricultural University (Gaufx-02Y02), the Science and Technology project of Lanzhou city (2021-1-162), the Central Guidance on Local Science and Technology Development Fund of Gansu Province, Lanzhou City Overseas Expertise Introduction Base for Molecular Breeding of Mutton Sheep, and the Projects of Gansu Agricultural University (GSAU-ZL-2015-033). \u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and materials\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe datasets generated in this study have been deposited at the Sequence Read Archive (https://www.ncbi.nlm.nih.gov/sra) under accession number PRJNA675157.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eEthical approval by the Ethics Committee of Gansu Agricultural University, was obtained (Ethic approval file No. GSAU-ETH-AST-2021-028). All experimental procedures and sample collection methods were performed in accordance with approved guidelines and regulations to ensure animal welfare. In this study, written informed consent was obtained from Yongfeng Goat Breeding Company to use these animals. Meanwhile, the study is in accordance with ARRIVE guidelines. \u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare no competing interests. \u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eTeixeira A, Silva S, Rodrigues S. Advances in sheep and goat meat products research. Adv Food Nutr Res. 2019, 87: 305-370.\u003c/li\u003e\n\u003cli\u003eAgliano F, Rathinam VA, Medvedev AE, Vanaja SK, Vella AT. Long noncoding RNAs in Host-Pathogen interactions. 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BMC Genomics. 2021, 22: 48. \u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"long non-coding RNA, meat yield, meat quality, ceRNA, goat","lastPublishedDoi":"10.21203/rs.3.rs-1960027/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-1960027/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e \u003cp\u003eLong non-coding RNAs (lncRNAs) play important roles in growth and development of skeletal muscle. However, there was limited information in goats. In this study, expression profiles of lncRNAs in \u003cem\u003eLongissimus dorsi\u003c/em\u003e muscle from Liaoning cashmere (LC) goats and Ziwuling black (ZB) goats with divergent meat yield and meat quality were compared using RNA-sequencing. Based on our previous microRNAs (miRNAs) and mRNAs profiles obtained from the same tissues, the target genes and binding miRNAs of differentially expressed lncRNAs were obtained. Subsequently, lncRNA-mRNA interaction networks and a ceRNA network of lncRNA-miRNA-mRNA were constructed.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003eA total of 136 differentially expressed lncRNAs were identified between the two breeds. 15 \u003cem\u003ecis\u003c/em\u003e target genes and 143 \u003cem\u003etrans\u003c/em\u003e target genes were found for differentially expressed lncRNAs, and they were enriched in muscle contraction, muscle system process, muscle cell differentiation, and p53 signaling pathway. A total of 69 lncRNA-\u003cem\u003etrans\u003c/em\u003e target gene pairs were constructed, with close relationship with muscle development, intramuscular fat deposition and meat tenderness. A total of 16 lncRNA-miRNA-mRNA ceRNA pairs were identified, of which some reportedly associated with skeletal muscle development and fat deposition were found.\u003c/p\u003e\u003ch2\u003eConclusion\u003c/h2\u003e \u003cp\u003eThe study identified some crucial lncRNAs related to muscle development, intramuscular fat deposition and meat tenderness, which will provide an improved understanding of the roles of lncRNAs in caprine meat yield and meat quality.\u003c/p\u003e","manuscriptTitle":"Integrated transcriptome analysis reveals roles of long non- coding RNAs (lncRNAs) in caprine skeletal muscle mass and meat quality","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2022-08-25 16:53:59","doi":"10.21203/rs.3.rs-1960027/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"27b980fb-1923-4a75-9ddd-7d5b8ad8bf3a","owner":[],"postedDate":"August 25th, 2022","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2022-11-30T05:44:30+00:00","versionOfRecord":[],"versionCreatedAt":"2022-08-25 16:53:59","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-1960027","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-1960027","identity":"rs-1960027","version":["v1"]},"buildId":"J0_U0BvcaRcwD8yVFaRlm","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

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