Between but not within species variation in the Distribution of Fitness Effects

2023 | journal article. A publication with affiliation to the University of Göttingen.

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​Between but not within species variation in the Distribution of Fitness Effects​
James, J.; Kastally, C.; Budde, K. B; González-Martínez, S. C; Milesi, P.; Pyhäjärvi, T. & Alizoti, P. et al.​ (2023) 
Molecular Biology and Evolution, art. msad228​.​ DOI: https://doi.org/10.1093/molbev/msad228 

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Authors Group
GenTree Consortium
The authors list is uncomplete:
Authors
James, Jennifer; Kastally, Chedly; Budde, Katharina B; González-Martínez, Santiago C; Milesi, Pascal; Pyhäjärvi, Tanja; Alizoti, Paraskevi; Alía, Ricardo; Ambrosio, Olivier; Aravanopoulos, Filippos A
Editors
Parsch, John
Abstract
Abstract New mutations provide the raw material for evolution and adaptation. The distribution of fitness effects (DFE) describes the spectrum of effects of new mutations that can occur along a genome, and is therefore of vital interest in evolutionary biology. Recent work has uncovered striking similarities in the DFE between closely related species, prompting us to ask whether there is variation in the DFE among populations of the same species, or among species with different degrees of divergence, i.e., whether there is variation in the DFE at different levels of evolution. Using exome capture data from six tree species sampled across Europe we characterised the DFE for multiple species, and for each species, multiple populations, and investigated the factors potentially influencing the DFE, such as demography, population divergence and genetic background. We find statistical support for there being variation in the DFE at the species level, even among relatively closely related species. However, we find very little difference at the population level, suggesting that differences in the DFE are primarily driven by deep features of species biology, and that evolutionarily recent events, such as demographic changes and local adaptation, have little impact.
Issue Date
2023
Journal
Molecular Biology and Evolution 
ISSN
0737-4038
eISSN
1537-1719
Language
English

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