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Effects of equine myostatin (MSTN) genotype variation on transcriptional responses in Thoroughbred skeletal muscle

Comparative Exercise Physiology, ISSN: 1755-2559, Vol: 15, Issue: 5, Page: 327-338
2019
  • 2
    Citations
  • 0
    Usage
  • 10
    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    2
    • Citation Indexes
      2
  • Captures
    10

Article Description

Myostatin gene (MSTN) variation influences distance aptitude in Thoroughbreds as a consequence of functional physiological effects including skeletal muscle fibre type and muscle hypertrophy variation. A promotor region short interspersed nuclear element (SINE) insertion, tagged by SNP g.66493737-C, alters MSTN mRNA expression. We tested the hypothesis that skeletal muscle gene expression varies among MSTN genotypes due to differential up- or down-stream gene signalling pathways that may be influenced by exercise and training and consequently contribute to variation in exercise phenotypes. Skeletal muscle biopsies were collected from Thoroughbreds previously genotyped for MSTN (n=35 CC, n=50 CT, n=9 TT) at three different time-points: untrained at rest (UR), untrained after exercise (UE) and trained at rest (TR). Gene differential expression (DE) was determined from RNAseq data using DESeq2 (Benjamini-Hochberg P-value <0.05). Functional over-representation analysis was performed in DAVID. In UR samples, one, nine and 47 genes were DE between CC vs CT, CT vs TT and C:C vs TT, respectively. The OSGEPL1 gene, located <250 Kb proximal to MSTN, was DE among all cohorts. Six genes were DE in UE between CC vs TT including OSGEPL1, FGF10 and COQ8A. There was significant enrichment for GO categories related to mitochondria in TR. Comparison of the exercise response (UR vs UE) revealed patterns of expression that were opposing; i.e. CHRNG was 0.857 log2FC in the TT cohort but 2.055 log2FC in the CC cohort. Genes located in proximity to MSTN and involved in mitochondrial function were most significantly different among genotype cohorts. Patterns of DE among genotypes suggests gene-regulated influence on the phenotype. Understanding these patterns may assist genotype-guided training strategies.

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