Less effective selection leads to larger genomes

Author:

Lefébure Tristan,Morvan Claire,Malard Florian,François Clémentine,Konecny-Dupré Lara,Guéguen Laurent,Weiss-Gayet Michèle,Seguin-Orlando Andaine,Ermini Luca,Sarkissian Clio Der,Charrier N. Pierre,Eme David,Mermillod-Blondin Florian,Duret Laurent,Vieira Cristina,Orlando Ludovic,Douady Christophe Jean

Abstract

The evolutionary origin of the striking genome size variations found in eukaryotes remains enigmatic. The effective size of populations, by controlling selection efficacy, is expected to be a key parameter underlying genome size evolution. However, this hypothesis has proved difficult to investigate using empirical data sets. Here, we tested this hypothesis using 22 de novo transcriptomes and low-coverage genomes of asellid isopods, which represent 11 independent habitat shifts from surface water to resource-poor groundwater. We show that these habitat shifts are associated with higher transcriptome-wide dN/dS. After ruling out the role of positive selection and pseudogenization, we show that these transcriptome-wide dN/dS increases are the consequence of a reduction in selection efficacy imposed by the smaller effective population size of subterranean species. This reduction is paralleled by an important increase in genome size (25% increase on average), an increase also confirmed in subterranean decapods and mollusks. We also control for an adaptive impact of genome size on life history traits but find no correlation between body size, or growth rate, and genome size. We show instead that the independent increases in genome size measured in subterranean isopods are the direct consequence of increasing invasion rates by repeat elements, which are less efficiently purged out by purifying selection. Contrary to selection efficacy, polymorphism is not correlated to genome size. We propose that recent demographic fluctuations and the difficulty of observing polymorphism variation in polymorphism-poor species can obfuscate the link between effective population size and genome size when polymorphism data are used alone.

Funder

Agence Nationale de la Recherche

Institut Universitaire de France

European Commission

CNRS

French Embassy in Denmark

Danish National Research Foundation

Marie-Curie Intra-European

CNRS/IN2P3 Computing Center

CC LBBE/PRABI

Publisher

Cold Spring Harbor Laboratory

Subject

Genetics(clinical),Genetics

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