Multiple mechanisms drive genomic adaptation to extreme O2 levels in Drosophila melanogaster

Arya Iranmehr, Tsering Stobdan, Dan Zhou (), Huiwen Zhao, Sergey Kryazhimskiy, Vineet Bafna () and Gabriel G. Haddad ()
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Arya Iranmehr: University of California, San Diego
Tsering Stobdan: University of California, San Diego
Dan Zhou: University of California, San Diego
Huiwen Zhao: University of California, San Diego
Sergey Kryazhimskiy: University of California, San Diego
Vineet Bafna: University of California, San Diego
Gabriel G. Haddad: University of California, San Diego

Nature Communications, 2021, vol. 12, issue 1, 1-10

Abstract: 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.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-21281-6

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DOI: 10.1038/s41467-021-21281-6

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