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Characterization of Transcriptional Complexity during Longissimus Muscle Development in Bovines Using High-Throughput Sequencing

BACKGROUND: Beef cattle are among the most economically important animals in the world because they are farmed for their meat and leather. However, a lack of genetic information remains an obstacle to understanding the mechanisms behind the development of this animal. Analysis of the beef cattle tra...

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Autores principales: He, Hua, Liu, Xiaolin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3676445/
https://www.ncbi.nlm.nih.gov/pubmed/23762238
http://dx.doi.org/10.1371/journal.pone.0064356
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author He, Hua
Liu, Xiaolin
author_facet He, Hua
Liu, Xiaolin
author_sort He, Hua
collection PubMed
description BACKGROUND: Beef cattle are among the most economically important animals in the world because they are farmed for their meat and leather. However, a lack of genetic information remains an obstacle to understanding the mechanisms behind the development of this animal. Analysis of the beef cattle transcriptome and its expression profile data are essential to extending the genetic information resources for this species and would support studies on this animal. RESULTS: RNA sequencing of beef cattle was performed using the Illumina High-Seq2000 platform. A total of 25,605,140 and 26,214,800 reads were sequenced for embryonic and adult pooled samples, respectively. We identified 24,464–29,994 novel transcript units in two pooled samples. In addition, 8,533–10,144 genes showed evidence of alternative splicing, in agreement with the finding that alternative 3′ splicing is the most common type of alternative splicing event in cattle. We detected the expression levels of 16,174 genes, and 6,800 genes exhibited differential expression between the two pooled samples with a false discovery rate ≤0.001. Using GO enrichment and KEGG pathway analysis, multiple GO term and biological pathways were found to be significantly enriched for differentially expressed genes. In addition, we discovered that 30,618–31,334 putative single nucleotide polymorphisms were located in coding regions. CONCLUSIONS: We obtained a high-quality beef cattle reference transcriptome using a high throughput sequencing approach, thereby providing a valuable resource for better understanding the beef cattle genome. The transcriptome data will facilitate future functional studies on the beef cattle genome and can be applied to breeding programs for cattle and closely related mammals.
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spelling pubmed-36764452013-06-12 Characterization of Transcriptional Complexity during Longissimus Muscle Development in Bovines Using High-Throughput Sequencing He, Hua Liu, Xiaolin PLoS One Research Article BACKGROUND: Beef cattle are among the most economically important animals in the world because they are farmed for their meat and leather. However, a lack of genetic information remains an obstacle to understanding the mechanisms behind the development of this animal. Analysis of the beef cattle transcriptome and its expression profile data are essential to extending the genetic information resources for this species and would support studies on this animal. RESULTS: RNA sequencing of beef cattle was performed using the Illumina High-Seq2000 platform. A total of 25,605,140 and 26,214,800 reads were sequenced for embryonic and adult pooled samples, respectively. We identified 24,464–29,994 novel transcript units in two pooled samples. In addition, 8,533–10,144 genes showed evidence of alternative splicing, in agreement with the finding that alternative 3′ splicing is the most common type of alternative splicing event in cattle. We detected the expression levels of 16,174 genes, and 6,800 genes exhibited differential expression between the two pooled samples with a false discovery rate ≤0.001. Using GO enrichment and KEGG pathway analysis, multiple GO term and biological pathways were found to be significantly enriched for differentially expressed genes. In addition, we discovered that 30,618–31,334 putative single nucleotide polymorphisms were located in coding regions. CONCLUSIONS: We obtained a high-quality beef cattle reference transcriptome using a high throughput sequencing approach, thereby providing a valuable resource for better understanding the beef cattle genome. The transcriptome data will facilitate future functional studies on the beef cattle genome and can be applied to breeding programs for cattle and closely related mammals. Public Library of Science 2013-06-07 /pmc/articles/PMC3676445/ /pubmed/23762238 http://dx.doi.org/10.1371/journal.pone.0064356 Text en © 2013 He, Liu http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
He, Hua
Liu, Xiaolin
Characterization of Transcriptional Complexity during Longissimus Muscle Development in Bovines Using High-Throughput Sequencing
title Characterization of Transcriptional Complexity during Longissimus Muscle Development in Bovines Using High-Throughput Sequencing
title_full Characterization of Transcriptional Complexity during Longissimus Muscle Development in Bovines Using High-Throughput Sequencing
title_fullStr Characterization of Transcriptional Complexity during Longissimus Muscle Development in Bovines Using High-Throughput Sequencing
title_full_unstemmed Characterization of Transcriptional Complexity during Longissimus Muscle Development in Bovines Using High-Throughput Sequencing
title_short Characterization of Transcriptional Complexity during Longissimus Muscle Development in Bovines Using High-Throughput Sequencing
title_sort characterization of transcriptional complexity during longissimus muscle development in bovines using high-throughput sequencing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3676445/
https://www.ncbi.nlm.nih.gov/pubmed/23762238
http://dx.doi.org/10.1371/journal.pone.0064356
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