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Adaptive radiation along a deeply conserved genetic line of least resistance in Anolis lizards

On microevolutionary timescales, adaptive evolution depends upon both natural selection and the underlying genetic architecture of traits under selection, which may constrain evolutionary outcomes. Whether such genetic constraints shape phenotypic diversity over macroevolutionary timescales is more...

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Autores principales: McGlothlin, Joel W., Kobiela, Megan E., Wright, Helen V., Mahler, D. Luke, Kolbe, Jason J., Losos, Jonathan B., Brodie, Edmund D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6121822/
https://www.ncbi.nlm.nih.gov/pubmed/30283684
http://dx.doi.org/10.1002/evl3.72
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author McGlothlin, Joel W.
Kobiela, Megan E.
Wright, Helen V.
Mahler, D. Luke
Kolbe, Jason J.
Losos, Jonathan B.
Brodie, Edmund D.
author_facet McGlothlin, Joel W.
Kobiela, Megan E.
Wright, Helen V.
Mahler, D. Luke
Kolbe, Jason J.
Losos, Jonathan B.
Brodie, Edmund D.
author_sort McGlothlin, Joel W.
collection PubMed
description On microevolutionary timescales, adaptive evolution depends upon both natural selection and the underlying genetic architecture of traits under selection, which may constrain evolutionary outcomes. Whether such genetic constraints shape phenotypic diversity over macroevolutionary timescales is more controversial, however. One key prediction is that genetic constraints should bias the early stages of species divergence along “genetic lines of least resistance” defined by the genetic (co)variance matrix, G. This bias is expected to erode over time as species means and G matrices diverge, allowing phenotypes to evolve away from the major axis of variation. We tested for evidence of this signal in West Indian Anolis lizards, an iconic example of adaptive radiation. We found that the major axis of morphological evolution was well aligned with a major axis of genetic variance shared by all species despite separation times of 20–40 million years, suggesting that divergence occurred along a conserved genetic line of least resistance. Further, this signal persisted even as G itself evolved, apparently because the largest evolutionary changes in G were themselves aligned with the line of genetic least resistance. Our results demonstrate that the signature of genetic constraint may persist over much longer timescales than previously appreciated, even in the presence of evolving genetic architecture. This pattern may have arisen either because pervasive constraints have biased the course of adaptive evolution or because the G matrix itself has been shaped by selection to conform to the adaptive landscape.
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spelling pubmed-61218222018-10-03 Adaptive radiation along a deeply conserved genetic line of least resistance in Anolis lizards McGlothlin, Joel W. Kobiela, Megan E. Wright, Helen V. Mahler, D. Luke Kolbe, Jason J. Losos, Jonathan B. Brodie, Edmund D. Evol Lett Letters On microevolutionary timescales, adaptive evolution depends upon both natural selection and the underlying genetic architecture of traits under selection, which may constrain evolutionary outcomes. Whether such genetic constraints shape phenotypic diversity over macroevolutionary timescales is more controversial, however. One key prediction is that genetic constraints should bias the early stages of species divergence along “genetic lines of least resistance” defined by the genetic (co)variance matrix, G. This bias is expected to erode over time as species means and G matrices diverge, allowing phenotypes to evolve away from the major axis of variation. We tested for evidence of this signal in West Indian Anolis lizards, an iconic example of adaptive radiation. We found that the major axis of morphological evolution was well aligned with a major axis of genetic variance shared by all species despite separation times of 20–40 million years, suggesting that divergence occurred along a conserved genetic line of least resistance. Further, this signal persisted even as G itself evolved, apparently because the largest evolutionary changes in G were themselves aligned with the line of genetic least resistance. Our results demonstrate that the signature of genetic constraint may persist over much longer timescales than previously appreciated, even in the presence of evolving genetic architecture. This pattern may have arisen either because pervasive constraints have biased the course of adaptive evolution or because the G matrix itself has been shaped by selection to conform to the adaptive landscape. John Wiley and Sons Inc. 2018-07-17 /pmc/articles/PMC6121822/ /pubmed/30283684 http://dx.doi.org/10.1002/evl3.72 Text en © 2018 The Author(s). Evolution Letters published by Wiley Periodicals, Inc. on behalf of Society for the Study of Evolution (SSE) and European Society for Evolutionary Biology (ESEB). This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Letters
McGlothlin, Joel W.
Kobiela, Megan E.
Wright, Helen V.
Mahler, D. Luke
Kolbe, Jason J.
Losos, Jonathan B.
Brodie, Edmund D.
Adaptive radiation along a deeply conserved genetic line of least resistance in Anolis lizards
title Adaptive radiation along a deeply conserved genetic line of least resistance in Anolis lizards
title_full Adaptive radiation along a deeply conserved genetic line of least resistance in Anolis lizards
title_fullStr Adaptive radiation along a deeply conserved genetic line of least resistance in Anolis lizards
title_full_unstemmed Adaptive radiation along a deeply conserved genetic line of least resistance in Anolis lizards
title_short Adaptive radiation along a deeply conserved genetic line of least resistance in Anolis lizards
title_sort adaptive radiation along a deeply conserved genetic line of least resistance in anolis lizards
topic Letters
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6121822/
https://www.ncbi.nlm.nih.gov/pubmed/30283684
http://dx.doi.org/10.1002/evl3.72
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