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Whole transcriptome analyses of six thoroughbred horses before and after exercise using RNA-Seq
BACKGROUND: Thoroughbred horses are the most expensive domestic animals, and their running ability and knowledge about their muscle-related diseases are important in animal genetics. While the horse reference genome is available, there has been no large-scale functional annotation of the genome usin...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3472166/ https://www.ncbi.nlm.nih.gov/pubmed/22971240 http://dx.doi.org/10.1186/1471-2164-13-473 |
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author | Park, Kyung-Do Park, Jongsun Ko, Junsu Kim, Byung Chul Kim, Heui-Soo Ahn, Kung Do, Kyoung-Tag Choi, Hansol Kim, Hak-Min Song, Sanghoon Lee, Sunghoon Jho, Sungwoong Kong, Hong-Sik Yang, Young Mok Jhun, Byung-Hak Kim, Chulhong Kim, Tae-Hyung Hwang, Seungwoo Bhak, Jong Lee, Hak-Kyo Cho, Byung-Wook |
author_facet | Park, Kyung-Do Park, Jongsun Ko, Junsu Kim, Byung Chul Kim, Heui-Soo Ahn, Kung Do, Kyoung-Tag Choi, Hansol Kim, Hak-Min Song, Sanghoon Lee, Sunghoon Jho, Sungwoong Kong, Hong-Sik Yang, Young Mok Jhun, Byung-Hak Kim, Chulhong Kim, Tae-Hyung Hwang, Seungwoo Bhak, Jong Lee, Hak-Kyo Cho, Byung-Wook |
author_sort | Park, Kyung-Do |
collection | PubMed |
description | BACKGROUND: Thoroughbred horses are the most expensive domestic animals, and their running ability and knowledge about their muscle-related diseases are important in animal genetics. While the horse reference genome is available, there has been no large-scale functional annotation of the genome using expressed genes derived from transcriptomes. RESULTS: We present a large-scale analysis of whole transcriptome data. We sequenced the whole mRNA from the blood and muscle tissues of six thoroughbred horses before and after exercise. By comparing current genome annotations, we identified 32,361 unigene clusters spanning 51.83 Mb that contained 11,933 (36.87%) annotated genes. More than 60% (20,428) of the unigene clusters did not match any current equine gene model. We also identified 189,973 single nucleotide variations (SNVs) from the sequences aligned against the horse reference genome. Most SNVs (171,558 SNVs; 90.31%) were novel when compared with over 1.1 million equine SNPs from two SNP databases. Using differential expression analysis, we further identified a number of exercise-regulated genes: 62 up-regulated and 80 down-regulated genes in the blood, and 878 up-regulated and 285 down-regulated genes in the muscle. Six of 28 previously-known exercise-related genes were over-expressed in the muscle after exercise. Among the differentially expressed genes, there were 91 transcription factor-encoding genes, which included 56 functionally unknown transcription factor candidates that are probably associated with an early regulatory exercise mechanism. In addition, we found interesting RNA expression patterns where different alternative splicing forms of the same gene showed reversed expressions before and after exercising. CONCLUSION: The first sequencing-based horse transcriptome data, extensive analyses results, deferentially expressed genes before and after exercise, and candidate genes that are related to the exercise are provided in this study. |
format | Online Article Text |
id | pubmed-3472166 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-34721662012-10-17 Whole transcriptome analyses of six thoroughbred horses before and after exercise using RNA-Seq Park, Kyung-Do Park, Jongsun Ko, Junsu Kim, Byung Chul Kim, Heui-Soo Ahn, Kung Do, Kyoung-Tag Choi, Hansol Kim, Hak-Min Song, Sanghoon Lee, Sunghoon Jho, Sungwoong Kong, Hong-Sik Yang, Young Mok Jhun, Byung-Hak Kim, Chulhong Kim, Tae-Hyung Hwang, Seungwoo Bhak, Jong Lee, Hak-Kyo Cho, Byung-Wook BMC Genomics Research Article BACKGROUND: Thoroughbred horses are the most expensive domestic animals, and their running ability and knowledge about their muscle-related diseases are important in animal genetics. While the horse reference genome is available, there has been no large-scale functional annotation of the genome using expressed genes derived from transcriptomes. RESULTS: We present a large-scale analysis of whole transcriptome data. We sequenced the whole mRNA from the blood and muscle tissues of six thoroughbred horses before and after exercise. By comparing current genome annotations, we identified 32,361 unigene clusters spanning 51.83 Mb that contained 11,933 (36.87%) annotated genes. More than 60% (20,428) of the unigene clusters did not match any current equine gene model. We also identified 189,973 single nucleotide variations (SNVs) from the sequences aligned against the horse reference genome. Most SNVs (171,558 SNVs; 90.31%) were novel when compared with over 1.1 million equine SNPs from two SNP databases. Using differential expression analysis, we further identified a number of exercise-regulated genes: 62 up-regulated and 80 down-regulated genes in the blood, and 878 up-regulated and 285 down-regulated genes in the muscle. Six of 28 previously-known exercise-related genes were over-expressed in the muscle after exercise. Among the differentially expressed genes, there were 91 transcription factor-encoding genes, which included 56 functionally unknown transcription factor candidates that are probably associated with an early regulatory exercise mechanism. In addition, we found interesting RNA expression patterns where different alternative splicing forms of the same gene showed reversed expressions before and after exercising. CONCLUSION: The first sequencing-based horse transcriptome data, extensive analyses results, deferentially expressed genes before and after exercise, and candidate genes that are related to the exercise are provided in this study. BioMed Central 2012-09-12 /pmc/articles/PMC3472166/ /pubmed/22971240 http://dx.doi.org/10.1186/1471-2164-13-473 Text en Copyright ©2012 Park et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Park, Kyung-Do Park, Jongsun Ko, Junsu Kim, Byung Chul Kim, Heui-Soo Ahn, Kung Do, Kyoung-Tag Choi, Hansol Kim, Hak-Min Song, Sanghoon Lee, Sunghoon Jho, Sungwoong Kong, Hong-Sik Yang, Young Mok Jhun, Byung-Hak Kim, Chulhong Kim, Tae-Hyung Hwang, Seungwoo Bhak, Jong Lee, Hak-Kyo Cho, Byung-Wook Whole transcriptome analyses of six thoroughbred horses before and after exercise using RNA-Seq |
title | Whole transcriptome analyses of six thoroughbred horses before and after exercise using RNA-Seq |
title_full | Whole transcriptome analyses of six thoroughbred horses before and after exercise using RNA-Seq |
title_fullStr | Whole transcriptome analyses of six thoroughbred horses before and after exercise using RNA-Seq |
title_full_unstemmed | Whole transcriptome analyses of six thoroughbred horses before and after exercise using RNA-Seq |
title_short | Whole transcriptome analyses of six thoroughbred horses before and after exercise using RNA-Seq |
title_sort | whole transcriptome analyses of six thoroughbred horses before and after exercise using rna-seq |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3472166/ https://www.ncbi.nlm.nih.gov/pubmed/22971240 http://dx.doi.org/10.1186/1471-2164-13-473 |
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