Poster Presentation Australian Society for Medical Research Annual Scientific Meeting 2016

Identifying the transcriptomic predictors of exercise adaption: Utilising the GeneSMART Exercise study (#130)

Nicholas R Harvey 1 , Larisa Haupt 2 , Nir Eynon 3 , Kevin J Ashton 1 , Lyn Griffiths 2
  1. Faculty of Health Sciences and Medicine, Bond University, Robina, QLD, Australia
  2. Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia
  3. Victoria University, Melbourne, VIC, Australia

The contribution of genetics and its influence on exercise adaptability has begun to be characterised, however direct genotype-phenotype correlations remain to be fully identified. Several reports have failed to provide conclusive evidence on the influence of genomic predisposition on exercise adaptation. While multiple causal variants that positively correlate to either athleticism or strength in different elite sports have been explored, a great number of muscle repair processes remain poorly understood. We aim to utilise the GeneSMART exercise study located at Bond University in collaboration with Victoria University and QUT-IHBI to discover novel genes and genetic variants associated with high response to exercise. Skeletal muscle samples from the vastus lateralis muscle of participants classified into responders and non-responders based on phenotypic data will be taken before, immediately afterward and two weeks after a bout of high intensity exercise for genetic analyses. RNA will be extracted from muscle samples using a micro-RNA isolation kit followed by next generation sequencing (NGS) of RNA transcripts using the Ampliseq Transcriptome panel on an Ion Proton platform. Total sequence reads will be subjected to bioinformatic analyses following alignment to the reference genome. From this study we expect to identify gene expression changes between samples taken at baseline and post-exercise within each participant. In addition, as the participants will be classified as responders and non-responders to high intensity exercise we expect to see key genes that show different expression levels between these groups. The results obtained from this study will identify new genes and potential mechanisms responsible for exercise adaption. In addition, new genes will be characterised to explore gene expression differences between participants who respond to exercise training. This study will provide novel data to enable exercise scientists to better understand the mechanisms behind exercise adaption and genetic susceptibility to exercise training.