Literature DB >> 32163142

Low Spontaneous Mutation Rate and Pleistocene Radiation of Pea Aphids.

Varvara Fazalova1, Bruno Nevado2.   

Abstract

Accurate estimates of divergence times are essential to understand the evolutionary history of species. It allows linking evolutionary histories of the diverging lineages with past geological, climatic, and other changes in environment and shed light on the processes involved in speciation. The pea aphid radiation includes multiple host races adapted to different legume host plants. It is thought that diversification in this system occurred very recently, over the past 8,000-16,000 years. This young age estimate was used to link diversification in pea aphids to the onset of human agriculture, and led to the establishment of the pea aphid radiation as a model system in the study of speciation with gene flow. Here, we re-examine the age of the pea aphid radiation, by combining a mutation accumulation experiment with a genome-wide estimate of divergence between distantly related pea aphid host races. We estimate the spontaneous mutation rate for pea aphids as 2.7×10-10 per haploid genome per parthenogenic generation. Using this estimate of mutation rate and the genome-wide genetic differentiation observed between pea aphid host races, we show that the pea aphid radiation is much more ancient than assumed previously, predating Neolithic agriculture by several hundreds of thousands of years. Our results rule out human agriculture as the driver of diversification of the pea aphid radiation, and call for re-assessment of the role of allopatric isolation during Pleistocene climatic oscillations in divergence of the pea aphid complex.
© The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  pea aphid; speciation; spontaneous mutation rate

Mesh:

Year:  2020        PMID: 32163142     DOI: 10.1093/molbev/msaa066

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  3 in total

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Journal:  Commun Biol       Date:  2021-01-18

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Authors:  Michela Panini; Olga Chiesa; Bartlomiej J Troczka; Mark Mallott; Gian Carlo Manicardi; Stefano Cassanelli; Filippo Cominelli; Alex Hayward; Emanuele Mazzoni; Chris Bass
Journal:  Proc Natl Acad Sci U S A       Date:  2021-06-08       Impact factor: 11.205

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Authors:  C Ryan Campbell; George P Tiley; Jelmer W Poelstra; Kelsie E Hunnicutt; Peter A Larsen; Hui-Jie Lee; Jeffrey L Thorne; Mario Dos Reis; Anne D Yoder
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  3 in total

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