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  An integrative genomic analysis of the Longshanks selection experiment for longer limbs in mice.

Castro, J., Yancoskie, M., Marchini, M., Belohlavy, S., Hiramatsu, L., Kučka, M., et al. (2019). An integrative genomic analysis of the Longshanks selection experiment for longer limbs in mice. eLife, 8: e42014. doi:10.7554/eLife.42014.

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Castro, JPI1, Author           
Yancoskie, MN1, Author           
Marchini, M, Author
Belohlavy, S, Author
Hiramatsu, L1, Author           
Kučka, M1, Author           
Beluch, WH1, Author           
Naumann, R, Author
Skuplik, I, Author
Cobb, J, Author
Barton, NH, Author
Rolian, C, Author
Chan, YF1, Author           
Affiliations:
1Chan Group, Friedrich Miescher Laboratory, Max Planck Society, ou_3008688              

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 Abstract: Evolutionary studies are often limited by missing data that are critical to understanding the history of selection. Selection experiments, which reproduce rapid evolution under controlled conditions, are excellent tools to study how genomes evolve under selection. Here we present a genomic dissection of the Longshanks selection experiment, in which mice were selectively bred over 20 generations for longer tibiae relative to body mass, resulting in 13% longer tibiae in two replicates. We synthesized evolutionary theory, genome sequences and molecular genetics to understand the selection response and found that it involved both polygenic adaptation and discrete loci of major effect, with the strongest loci tending to be selected in parallel between replicates. We show that selection may favor de-repression of bone growth through inactivating two limb enhancers of an inhibitor, Nkx3-2. Our integrative genomic analyses thus show that it is possible to connect individual base-pair changes to the overall selection response.

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 Dates: 2019-06
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.7554/eLife.42014
PMID: 31169497
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Title: eLife
Source Genre: Journal
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Publ. Info: Cambridge : eLife Sciences Publications
Pages: 34 Volume / Issue: 8 Sequence Number: e42014 Start / End Page: - Identifier: ISSN: 2050-084X
CoNE: https://pure.mpg.de/cone/journals/resource/2050-084X