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Whole transcriptome analyses of six thoroughbred horses before and after exercise using RNA-Seq

  • Kyung Do Park
  • , Jongsun Park
  • , Junsu Ko
  • , Byung C. Kim
  • , Heui Soo Kim
  • , Kung Ahn
  • , Kyoung Tag Do
  • , Hansol Choi
  • , Hak Min Kim
  • , Sanghoon Song
  • , Sunghoon Lee
  • , Sungwoong Jho
  • , Hong Sik Kong
  • , Young M. Yang
  • , Byung Hak Jhun
  • , Chulhong Kim
  • , Tae Hyung Kim
  • , Seungwoo Hwang
  • , Jong Bhak*
  • , Hak Kyo Lee
  • Byung Wook Cho
*Corresponding author for this work
  • Hankyong National University
  • Genome Research Foundation
  • Theragen BiO Institute
  • Pusan National University
  • Konkuk University
  • Korea Research Institute of Bioscience and Biotechnology

Research output: Contribution to journalJournal articlepeer-review

Abstract

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.

Original languageEnglish
Article number473
JournalBMC genomics
Volume13
Issue number1
DOIs
StatePublished - 2012.09.12

Keywords

  • Equus caballu
  • Gene expression
  • Racing performance
  • Transcriptome

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