RT Journal A1 Lefébure, Tristan A1 Morvan, Claire A1 Malard, Florian A1 François, Clémentine A1 Konecny-Dupré, Lara A1 Guéguen, Laurent A1 Weiss-Gayet, Michèle A1 Seguin-Orlando, Andaine A1 Ermini, Luca A1 Sarkissian, Clio Der A1 Charrier, N. Pierre A1 Eme, David A1 Mermillod-Blondin, Florian A1 Duret, Laurent A1 Vieira, Cristina A1 Orlando, Ludovic A1 Douady, Christophe Jean T1 Less effective selection leads to larger genomes JF Genome Research JO Genome Research YR 2017 FD June 01 VO 27 IS 6 SP 1016 OP 1028 DO 10.1101/gr.212589.116 UL http://genome.cshlp.org/content/27/6/1016.abstract AB 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 . After ruling out the role of positive selection and pseudogenization, we show that these transcriptome-wide 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.