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Body Composition and Metabolic Caging Analysis in High Fat Fed Mice
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Parallel selection mapping using artificially selected mice reveals body weight control loci.

Yingguang Frank Chan1, Felicity C Jones, Ellen McConnell

  • 1Max Planck Institute for Evolutionary Biology, August-Thienemann-Str. 2, 24306 Plön, Germany. frank.chan@evolbio.mpg.de

Current Biology : CB
|March 27, 2012
PubMed
Summary

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Scientists studied how body weight evolves using mouse selection experiments. They identified 67 parallel selected regions (PSRs) and found evidence for G protein-coupled receptors influencing body weight, suggesting conserved pathways in evolution.

Area of Science:

  • Evolutionary genetics
  • Quantitative genetics

Background:

  • Understanding polygenic trait evolution under selection is challenging due to difficulties in gene identification and multilocus selection analysis.
  • Artificial selection experiments provide a model to study complex trait evolution.

Purpose of the Study:

  • To identify genes and genomic regions associated with polygenic body weight evolution using artificial selection.
  • To investigate the genetic basis of parallel selection responses in complex traits.

Main Methods:

  • Utilized long-term artificial selection experiments on mouse body weight.
  • Genotyped inbred mouse strains using 527,572 single nucleotide polymorphisms (SNPs).
  • Analyzed allele frequency changes and selective sweeps to identify parallel selected regions (PSRs).

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Main Results:

  • Identified 67 PSRs showing shared variants in selected high body weight lines compared to controls.
  • Detected selective sweeps centered on PSRs, indicating strong selection.
  • Provided evidence for G protein-coupled receptors (GPR133 and Prlhr) as positional candidates for body weight control.
  • Observed reduced heterozygosity in PSRs in large wild mice, suggesting natural selection mimicry.
  • Found overlap between PSRs and loci associated with human height variation.

Conclusions:

  • Artificial selection on complex traits can lead to parallel genetic responses across multiple genes.
  • Identified candidate genes and genomic regions involved in body weight evolution.
  • Suggests conserved evolutionary pathways for complex traits like body weight and human height.