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The genetic architecture of adaptation: convergence and pleiotropy in Heliconius wing pattern evolution

Unravelling the genetic basis of adaptive traits is a major challenge in evolutionary biology. Doing so informs our understanding of evolution towards an adaptive optimum, the distribution of locus effect sizes, and the influence of genetic architecture on the evolvability of a trait. In the Mülleri...

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Autores principales: Morris, Jake, Navarro, Nicolas, Rastas, Pasi, Rawlins, Lauren D., Sammy, Joshua, Mallet, James, Dasmahapatra, Kanchon K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6781118/
https://www.ncbi.nlm.nih.gov/pubmed/30670842
http://dx.doi.org/10.1038/s41437-018-0180-0
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author Morris, Jake
Navarro, Nicolas
Rastas, Pasi
Rawlins, Lauren D.
Sammy, Joshua
Mallet, James
Dasmahapatra, Kanchon K.
author_facet Morris, Jake
Navarro, Nicolas
Rastas, Pasi
Rawlins, Lauren D.
Sammy, Joshua
Mallet, James
Dasmahapatra, Kanchon K.
author_sort Morris, Jake
collection PubMed
description Unravelling the genetic basis of adaptive traits is a major challenge in evolutionary biology. Doing so informs our understanding of evolution towards an adaptive optimum, the distribution of locus effect sizes, and the influence of genetic architecture on the evolvability of a trait. In the Müllerian co-mimics Heliconius melpomene and Heliconius erato some Mendelian loci affecting mimicry shifts are well known. However, several phenotypes in H. melpomene remain to be mapped, and the quantitative genetics of colour pattern variation has rarely been analysed. Here we use quantitative trait loci (QTL) analyses of crosses between H. melpomene races from Peru and Suriname to map, for the first time, the control of the broken band phenotype to WntA and identify a ~100 kb region controlling this variation. Additionally, we map variation in basal forewing red-orange pigmentation to a locus centred around the gene ventral veins lacking (vvl). The locus also appears to affect medial band shape variation as it was previously known to do in H. erato. This adds to the list of homologous regions controlling convergent phenotypes between these two species. Finally we show that Heliconius wing-patterning genes are strikingly pleiotropic among wing pattern traits. Our results demonstrate how genetic architecture can shape, aid and constrain adaptive evolution.
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spelling pubmed-67811182019-10-09 The genetic architecture of adaptation: convergence and pleiotropy in Heliconius wing pattern evolution Morris, Jake Navarro, Nicolas Rastas, Pasi Rawlins, Lauren D. Sammy, Joshua Mallet, James Dasmahapatra, Kanchon K. Heredity (Edinb) Article Unravelling the genetic basis of adaptive traits is a major challenge in evolutionary biology. Doing so informs our understanding of evolution towards an adaptive optimum, the distribution of locus effect sizes, and the influence of genetic architecture on the evolvability of a trait. In the Müllerian co-mimics Heliconius melpomene and Heliconius erato some Mendelian loci affecting mimicry shifts are well known. However, several phenotypes in H. melpomene remain to be mapped, and the quantitative genetics of colour pattern variation has rarely been analysed. Here we use quantitative trait loci (QTL) analyses of crosses between H. melpomene races from Peru and Suriname to map, for the first time, the control of the broken band phenotype to WntA and identify a ~100 kb region controlling this variation. Additionally, we map variation in basal forewing red-orange pigmentation to a locus centred around the gene ventral veins lacking (vvl). The locus also appears to affect medial band shape variation as it was previously known to do in H. erato. This adds to the list of homologous regions controlling convergent phenotypes between these two species. Finally we show that Heliconius wing-patterning genes are strikingly pleiotropic among wing pattern traits. Our results demonstrate how genetic architecture can shape, aid and constrain adaptive evolution. Springer International Publishing 2019-01-22 2019-08 /pmc/articles/PMC6781118/ /pubmed/30670842 http://dx.doi.org/10.1038/s41437-018-0180-0 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Morris, Jake
Navarro, Nicolas
Rastas, Pasi
Rawlins, Lauren D.
Sammy, Joshua
Mallet, James
Dasmahapatra, Kanchon K.
The genetic architecture of adaptation: convergence and pleiotropy in Heliconius wing pattern evolution
title The genetic architecture of adaptation: convergence and pleiotropy in Heliconius wing pattern evolution
title_full The genetic architecture of adaptation: convergence and pleiotropy in Heliconius wing pattern evolution
title_fullStr The genetic architecture of adaptation: convergence and pleiotropy in Heliconius wing pattern evolution
title_full_unstemmed The genetic architecture of adaptation: convergence and pleiotropy in Heliconius wing pattern evolution
title_short The genetic architecture of adaptation: convergence and pleiotropy in Heliconius wing pattern evolution
title_sort genetic architecture of adaptation: convergence and pleiotropy in heliconius wing pattern evolution
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6781118/
https://www.ncbi.nlm.nih.gov/pubmed/30670842
http://dx.doi.org/10.1038/s41437-018-0180-0
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