Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

High-density SNP array and genome sequencing reveal signatures of selection in a divergent selection rat model for aerobic running capacity

Yu-yu Ren, Lauren G. Koch, Steven L. Britton, Nathan R. Qi, Mary K. Treutelaar, Charles F. Burant, Jun Z. Li
doi: https://doi.org/10.1101/032441
Yu-yu Ren
1Department of Human Genetics, University of Michigan. Ann Arbor, MI, United States
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Lauren G. Koch
2Department of Anesthesiology, University of Michigan. Ann Arbor, MI, United States
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Steven L. Britton
2Department of Anesthesiology, University of Michigan. Ann Arbor, MI, United States
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nathan R. Qi
3Department of Internal Medicine, University of Michigan. Ann Arbor, MI, United States
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mary K. Treutelaar
3Department of Internal Medicine, University of Michigan. Ann Arbor, MI, United States
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Charles F. Burant
3Department of Internal Medicine, University of Michigan. Ann Arbor, MI, United States
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jun Z. Li
1Department of Human Genetics, University of Michigan. Ann Arbor, MI, United States
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

We have previously established two lines of rat for studying the functional basis of aerobic exercise capacity (AEC) and its impact on metabolic health. The two lines, high capacity runners (HCR) and low capacity runners (LCR), have been selectively bred for high and low intrinsic AEC, respectively. They were started from the same genetically heterogeneous population and have now diverged in both AEC and many other physiological measures, including weight, body composition, blood pressure, body mass index, lung capacity, lipid and glucose metabolism, and natural life span. In order to exploit this rat model to understand the genomic regions under differential selection within the two lines, we used SNP genotype and whole genome pooled sequencing data to identify signatures of selection using three different statistics: runs of homozygosity, fixation index, and aberrant allele frequency spectrum, and developed a composite score that combined the three signals. we found that several pathways (ATP transport and fatty acid metabolism) are enriched in regions under differential selection. The candidate genes and pathways under selection will be integrated with the previous mRNA expression data and future F2 QTL results for a multi-omics approach to understanding the biological basis of AEC and metabolic traits.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
Back to top
PreviousNext
Posted November 20, 2015.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
High-density SNP array and genome sequencing reveal signatures of selection in a divergent selection rat model for aerobic running capacity
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
High-density SNP array and genome sequencing reveal signatures of selection in a divergent selection rat model for aerobic running capacity
Yu-yu Ren, Lauren G. Koch, Steven L. Britton, Nathan R. Qi, Mary K. Treutelaar, Charles F. Burant, Jun Z. Li
bioRxiv 032441; doi: https://doi.org/10.1101/032441
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
High-density SNP array and genome sequencing reveal signatures of selection in a divergent selection rat model for aerobic running capacity
Yu-yu Ren, Lauren G. Koch, Steven L. Britton, Nathan R. Qi, Mary K. Treutelaar, Charles F. Burant, Jun Z. Li
bioRxiv 032441; doi: https://doi.org/10.1101/032441

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Genetics
Subject Areas
All Articles
  • Animal Behavior and Cognition (4369)
  • Biochemistry (9543)
  • Bioengineering (7068)
  • Bioinformatics (24765)
  • Biophysics (12559)
  • Cancer Biology (9923)
  • Cell Biology (14296)
  • Clinical Trials (138)
  • Developmental Biology (7929)
  • Ecology (12073)
  • Epidemiology (2067)
  • Evolutionary Biology (15952)
  • Genetics (10901)
  • Genomics (14704)
  • Immunology (9841)
  • Microbiology (23580)
  • Molecular Biology (9453)
  • Neuroscience (50691)
  • Paleontology (369)
  • Pathology (1535)
  • Pharmacology and Toxicology (2674)
  • Physiology (3996)
  • Plant Biology (8638)
  • Scientific Communication and Education (1505)
  • Synthetic Biology (2388)
  • Systems Biology (6413)
  • Zoology (1344)