Research Articles

From Horsegenome.net

Jump to: navigation, search

  BMC Genomics publication of the horse transcriptomes

 

 

Contents

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

Kyung-Do Park1Jongsun Park2Junsu Ko3Byung C Kim2,3Heui-Soo Kim4Kung Ahn4Kyoung-Tag Do5Hansol Choi2Hak-Min Kim2Sanghoon Song3Sunghoon Lee2,Sungwoong Jho2Hong-Sik Kong1Young M Yang6Byung-Hak Jhun7Chulhong Kim3,Tae-Hyung Kim3Seungwoo Hwang8Jong Bhak2,3*Hak-Kyo Lee1* and Byung-Wook Cho5*

 

 

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.

Keywords: 

TranscriptomeEquus caballus; Gene expression; Racing performance

 

 

 

 

 

 

Personal tools