Multiple mechanisms drive genomic adaptation to extreme O2 levels in Drosophila melanogaster
Year: 2021
Type: article
Abstract: To detect the genomic mechanisms underlying evolutionary dynamics of adaptation in sexually reproducing organisms, we analyze multigenerational whole genome sequences of Drosophila melanogaster adapting to extreme O2 conditions over an experiment conducted for nearly two decades. We develop methods to analyze time-series genomics data and predict adaptive mechanisms. Here, we report a remarkable level of synchronicity in both hard and soft selective sweeps in replicate populations as well as the arrival of favorable de novo mutations that constitute a few asynchronized sweeps. We additionally make direct experimental observations of rare recombination events that combine multiple alleles on to a single, better-adapted haplotype. Based on the analyses of the genes in genomic intervals, we provide a deeper insight into the mechanisms of genome adaptation that allow complex organisms to survive harsh environments.
Source: Nature Communications
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $5,560
Funders: National Science Foundation, U.S. Department of Health and Human Services, National Institutes of Health, National Heart, Lung, and Blood Institute, National Human Genome Research Institute, National Institute of General Medical Sciences, National Institute of Neurological Disorders and Stroke, Division of Biological Infrastructure
Awards: G1243810829, G1493526216, G2067266147, Genetic Mechanisms Regulating Hypoxia Tolerance in the Brain, G2865793692, G412327669, G4283929087, G4477665956, Collaborative Research: ABI Innovation: Computational population-genetic analysis for detection of soft selective sweeps, Molecular Basis of Hypoxia-Induced Excessive Erythrocytosis, G7749793815, G8843440462, G9000266546, Computational methods for detecting patterns of complex genomic variation
OpenAlex ID: W3126501650