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Updated: Jan 11, 2026

Selection-dependent and Independent Generation of CRISPR/Cas9-mediated Gene Knockouts in Mammalian Cells
Published on: June 16, 2017
Early-life viability selection targets deleterious mutations in exons
Rebecca S Chen1, Carl D Soulsbury2, Kees van Oers3
1Department of Evolutionary Population Genetics, Faculty of Biology, Bielefeld University, 33501 Bielefeld, Germany.
Abstract:
Understanding how deleterious mutations affect fitness is central to evolutionary and conservation biology.1,2 However, most empirical studies rely on inbreeding as a proxy for the mutation load,3 overlooking the substantial contribution of deleterious mutations expressed in the heterozygous state.4,5,6 Moreover, although mutations in coding and non-coding regions of the genome are hypothesized to have qualitatively different fitness effects and thus experience distinct selective pressures,7 such functional heterogeneity is often overlooked. Selection may also vary across life stages, adding a temporal dimension that is seldom captured.8,9 Using whole-genome resequencing data from the black grouse (Lyrurus tetrix), we predicted deleterious mutations using evolutionary conservation10 and functional predictions.11 We then used the resulting genomic mutation load estimates to quantify viability selection at functionally distinct genomic regions across three life-history stages: chicks, yearlings, and adults. We found that viability selection is strongest early in life and mainly targets deleterious mutations at evolutionarily conserved sites. Specifically, early-life selection predominantly acts against deleterious mutations located in exons, contrasting with our previous finding that sexual selection in this species targets deleterious mutations in regulatory regions.6 These results show that the fitness effects of deleterious mutations are neither temporally constant nor uniformly distributed across the genome. Instead, they reflect dynamic selection regimes that shift across both life-history stages and genomic contexts. Our findings refine our understanding of evolutionary dynamics and life-history evolution, while also informing the use of genomic fitness indicators in biological conservation.
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