Transcriptome profiling analysis of muscle tissue reveals potential candidate genes affecting water holding capacity in Chinese Simmental beef cattle

Abstract Water holding capacity (WHC) is an important sensory attribute that greatly influences meat quality. However, the molecular mechanism that regulates the beef WHC remains to be elucidated. In this study, the longissimus dorsi (LD) muscles of 49 Chinese Simmental beef cattle were measured for...

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Autores principales: Lili Du, Tianpeng Chang, Bingxing An, Mang Liang, Xinghai Duan, Wentao Cai, Bo Zhu, Xue Gao, Yan Chen, Lingyang Xu, Lupei Zhang, Junya Li, Huijiang Gao
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/807e7b0a526e4c28b17663279f2cce7b
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spelling oai:doaj.org-article:807e7b0a526e4c28b17663279f2cce7b2021-12-02T17:34:31ZTranscriptome profiling analysis of muscle tissue reveals potential candidate genes affecting water holding capacity in Chinese Simmental beef cattle10.1038/s41598-021-91373-22045-2322https://doaj.org/article/807e7b0a526e4c28b17663279f2cce7b2021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-91373-2https://doaj.org/toc/2045-2322Abstract Water holding capacity (WHC) is an important sensory attribute that greatly influences meat quality. However, the molecular mechanism that regulates the beef WHC remains to be elucidated. In this study, the longissimus dorsi (LD) muscles of 49 Chinese Simmental beef cattle were measured for meat quality traits and subjected to RNA sequencing. WHC had significant correlation with 35 kg water loss (r = − 0.99, p < 0.01) and IMF content (r = 0.31, p < 0.05), but not with SF (r = − 0.20, p = 0.18) and pH (r = 0.11, p = 0.44). Eight individuals with the highest WHC (H-WHC) and the lowest WHC (L-WHC) were selected for transcriptome analysis. A total of 865 genes were identified as differentially expressed genes (DEGs) between two groups, of which 633 genes were up-regulated and 232 genes were down-regulated. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment revealed that DEGs were significantly enriched in 15 GO terms and 96 pathways. Additionally, based on protein–protein interaction (PPI) network, animal QTL database (QTLdb), and relevant literature, the study not only confirmed seven genes (HSPA12A, HSPA13, PPARγ, MYL2, MYPN, TPI, and ATP2A1) influenced WHC in accordance with previous studies, but also identified ATP2B4, ACTN1, ITGAV, TGFBR1, THBS1, and TEK as the most promising novel candidate genes affecting the WHC. These findings could offer important insight for exploring the molecular mechanism underlying the WHC trait and facilitate the improvement of beef quality.Lili DuTianpeng ChangBingxing AnMang LiangXinghai DuanWentao CaiBo ZhuXue GaoYan ChenLingyang XuLupei ZhangJunya LiHuijiang GaoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Lili Du
Tianpeng Chang
Bingxing An
Mang Liang
Xinghai Duan
Wentao Cai
Bo Zhu
Xue Gao
Yan Chen
Lingyang Xu
Lupei Zhang
Junya Li
Huijiang Gao
Transcriptome profiling analysis of muscle tissue reveals potential candidate genes affecting water holding capacity in Chinese Simmental beef cattle
description Abstract Water holding capacity (WHC) is an important sensory attribute that greatly influences meat quality. However, the molecular mechanism that regulates the beef WHC remains to be elucidated. In this study, the longissimus dorsi (LD) muscles of 49 Chinese Simmental beef cattle were measured for meat quality traits and subjected to RNA sequencing. WHC had significant correlation with 35 kg water loss (r = − 0.99, p < 0.01) and IMF content (r = 0.31, p < 0.05), but not with SF (r = − 0.20, p = 0.18) and pH (r = 0.11, p = 0.44). Eight individuals with the highest WHC (H-WHC) and the lowest WHC (L-WHC) were selected for transcriptome analysis. A total of 865 genes were identified as differentially expressed genes (DEGs) between two groups, of which 633 genes were up-regulated and 232 genes were down-regulated. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment revealed that DEGs were significantly enriched in 15 GO terms and 96 pathways. Additionally, based on protein–protein interaction (PPI) network, animal QTL database (QTLdb), and relevant literature, the study not only confirmed seven genes (HSPA12A, HSPA13, PPARγ, MYL2, MYPN, TPI, and ATP2A1) influenced WHC in accordance with previous studies, but also identified ATP2B4, ACTN1, ITGAV, TGFBR1, THBS1, and TEK as the most promising novel candidate genes affecting the WHC. These findings could offer important insight for exploring the molecular mechanism underlying the WHC trait and facilitate the improvement of beef quality.
format article
author Lili Du
Tianpeng Chang
Bingxing An
Mang Liang
Xinghai Duan
Wentao Cai
Bo Zhu
Xue Gao
Yan Chen
Lingyang Xu
Lupei Zhang
Junya Li
Huijiang Gao
author_facet Lili Du
Tianpeng Chang
Bingxing An
Mang Liang
Xinghai Duan
Wentao Cai
Bo Zhu
Xue Gao
Yan Chen
Lingyang Xu
Lupei Zhang
Junya Li
Huijiang Gao
author_sort Lili Du
title Transcriptome profiling analysis of muscle tissue reveals potential candidate genes affecting water holding capacity in Chinese Simmental beef cattle
title_short Transcriptome profiling analysis of muscle tissue reveals potential candidate genes affecting water holding capacity in Chinese Simmental beef cattle
title_full Transcriptome profiling analysis of muscle tissue reveals potential candidate genes affecting water holding capacity in Chinese Simmental beef cattle
title_fullStr Transcriptome profiling analysis of muscle tissue reveals potential candidate genes affecting water holding capacity in Chinese Simmental beef cattle
title_full_unstemmed Transcriptome profiling analysis of muscle tissue reveals potential candidate genes affecting water holding capacity in Chinese Simmental beef cattle
title_sort transcriptome profiling analysis of muscle tissue reveals potential candidate genes affecting water holding capacity in chinese simmental beef cattle
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/807e7b0a526e4c28b17663279f2cce7b
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