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http://dx.doi.org/10.5713/ajas.14.0394

Sequencing and Characterization of Divergent Marbling Levels in the Beef Cattle (Longissimus dorsi Muscle) Transcriptome  

Chen, Dong (College of Animal Science and Technology, China Agricultural University)
Li, Wufeng (College of Life Science, Shanxi Agriculture University)
Du, Min (Department of Animal Sciences, Washington State University)
Wu, Meng (Snowdragon Beef Co., Ltd.)
Cao, Binghai (College of Animal Science and Technology, China Agricultural University)
Publication Information
Asian-Australasian Journal of Animal Sciences / v.28, no.2, 2015 , pp. 158-165 More about this Journal
Abstract
Marbling is an important trait regarding the quality of beef. Analysis of beef cattle transcriptome and its expression profile data are essential to extend the genetic information resources and would support further studies on beef cattle. RNA sequencing was performed in beef cattle using the Illumina High-Seq2000 platform. Approximately 251.58 million clean reads were generated from a high marbling (H) group and low marbling (L) group. Approximately 80.12% of the 19,994 bovine genes (protein coding) were detected in all samples, and 749 genes exhibited differential expression between the H and L groups based on fold change (>1.5-fold, p<0.05). Multiple gene ontology terms and biological pathways were found significantly enriched among the differentially expressed genes. The transcriptome data will facilitate future functional studies on marbling formation in beef cattle and may be applied to improve breeding programs for cattle and closely related mammals.
Keywords
Marbling; Beef Cattle; Transcriptome; RNA-Sequencing;
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1 Kim, D., G. Pertea, C. Trapnell, H. Pimentel, R. Kelley, and S. L. Salzberg. 2013. TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions. Genome Biol. 14:R36.   DOI   ScienceOn
2 Langmead, B. and S. L. Salzberg. 2012. Fast gapped-read alignment with Bowtie 2. Nat. Methods 9:357-359.   DOI   ScienceOn
3 Marioni, J. C., C. E. Mason, S. M. Mane, M. Stephens, and Y. Gilad. 2008. RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays. Genome Res. 18:1509-1517.   DOI   ScienceOn
4 Nagalakshmi, U., Z. Wang, K. Waern, C. Shou, D. Raha, M. Gerstein, and M. Snyder. 2008. The transcriptional landscape of the yeast genome defined by RNA sequencing. Science 320:1344-1349.   DOI   ScienceOn
5 Reecy, J., D. M. Spurlock, and C. H. Stahl. 2006. Gene expression profiling: insights into skeletal muscle growth and development. J. Anim. Sci. 84:E150-E154.   DOI
6 't Hoen, P. A. C., Y. Ariyurek, H. H. Thygesen, E. Vreugdenhil, R. H. A. M. Vossen, R. X. de Menezes, J. M. Boer, G-J. B. van Ommen, and J. T. den Dunnen. 2008. Deep sequencing-based expression analysis shows major advances in robustness, resolution and inter-lab portability over five microarray platforms. Nucl. Acids Res. 36:e141.   DOI   ScienceOn
7 Trapnell, C., A. Roberts, L. Goff, G. Pertea, D. Kim, D. R. Kelley, H. Pimentel, S. L. Salzberg, J. L. Rinn, and L. Pachter. 2012. Differential gene and transcript expression analysis of RNAseq experiments with TopHat and Cufflinks. Nat. Protoc. 7:562-578.   DOI   ScienceOn
8 Wang, Z., M. Gerstein, and M. Snyder. 2009. RNA-Seq: A revolutionary tool for transcriptomics. Nat. Rev. Genet. 10:57-63.   DOI   ScienceOn
9 Wang, Y. H., N. I. Bower, A. Reverter, S. H. Tan, N. De Jager, R. Wang, S. M. McWilliam, L. M. Cafe, P. L. Greenwood, and S. A. Lehnert. 2009. Gene expression patterns during intramuscular fat development in cattle. J. Anim. Sci. 87:119-130.   DOI
10 Wang, Y. H., K. A. Byrne, A. Reverter, G. S. Harper, M. Taniguchi, S. M. McWilliam, H. Mannen, K. Oyama, and S. A. Lehnert. 2005. Transcriptional profiling of skeletal muscle tissue from two breeds of cattle. Mamm. Genome 16:201-210.   DOI
11 Werner, T. 2010. Next generation sequencing in functional genomics. Brief. Bioinform. 11:499-511.   DOI   ScienceOn
12 Grobet, L., L. J. R. Martin, D. Poncelet, D. Pirottin, B. Brouwers, J. Riquet, A. Schoeberlein, S. Dunner, F. Menissier, J. Massabanda, R. Fries, R. Hanset, and M. Georges. 1997. A deletion in the bovine myostatin gene causes the doublemuscled phenotype in cattle. Nat. Genet. 17:71-74.   DOI   ScienceOn
13 Cox, M. P., D. A. Peterson, and P. J. Biggs. 2010. SolexaQA: At-aglance quality assessment of Illumina second-generation sequencing data. BMC Bioinformatics 11:485.   DOI   ScienceOn
14 Baldwin, R. L. V., R. W. Li, C. Li, J. M. Thomson, and B. J. Bequette. 2012. Characterization of the longissimus lumborum transcriptome response to adding propionate to the diet of growing Angus beef steers. Physiol. Genomics 44:543-550.   DOI   ScienceOn
15 Cloonan, N. and S. M. Grimmond. 2008. Transcriptome content and dynamics at single-nucleotide resolution. Genome Biol. 9:234.   DOI   ScienceOn
16 de Hoon, M. J. L., S. Imoto, J. Nolan, and S. Miyano. 2004. Open source clustering software. Bioinformatics 20:1453-1454.   DOI   ScienceOn
17 Driver, A. M., F. Penagaricano, W. Huang, K. R. Ahmad, K. S. Hackbart, M. C. Wiltbank, and H. Khatib. 2012. RNA-Seq analysis uncovers transcriptomic variations between morphologically similar in vivo- and in vitro-derived bovine blastocysts. BMC Genomics 13:118.   DOI
18 He, H. and X. Liu. 2013. Characterization of transcriptional complexity during longissimus muscle development in bovines using high-throughput sequencing. PloS one 8(6):e64356.   DOI
19 Livak, K. J. and T. D. Schmittgen. 2001. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) method. Methods 25:402-408.   DOI   ScienceOn
20 Huang, D. W., B. T. Sherman, and R. A. Lempicki. 2009. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat. Protoc. 4:44-57.   DOI
21 Trapnell, C., B. A. Williams, G. Pertea, A. Mortazavi, G. Kwan, M. J. van Baren, S. L. Salzberg, B. J. Wold, and L. Pachter. 2010. Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation. Nat. Biotechnol. 28:511-515.   DOI   ScienceOn
22 Hausman, G. J., M. V. Dodson, K. Ajuwon, M. Azain, K. M. Barnes, L. L. Guan, Z. Jiang, S. P. Poulos, R. D. Sainz, S. Smith et al. 2009. Board-invited review: the biology and regulation of preadipocytes and adipocytes in meat animals. J. Anim. Sci. 87:1218-1246.   DOI   ScienceOn