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Late Pleistocene stickleback environmental genomes reveal the chronology of freshwater adaptation

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Jones,  F       
Jones Group, Friedrich Miescher Laboratory, Max Planck Society;

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Citation

Laine, J., Mak, S., Martins, N., Chen, X., Gilbert, T., Jones, F., et al. (2024). Late Pleistocene stickleback environmental genomes reveal the chronology of freshwater adaptation. In Population Genetics Group 57 (PopGroup57) (pp. 48).


Cite as: https://hdl.handle.net/21.11116/0000-000E-45F1-4
Abstract
Directly observing the chronology and tempo of adaption in response to ecological change is rarely possible in natural ecosystems. Ancient DNA from sediment has been shown to be a tractable source of genome-scale data of long-dead organisms and to thereby potentially provide an understanding of the evolutionary histories of past populations. To date, time series of ecosystem biodiversity have been reconstructed from sedaDNA, typically using DNA metabarcoding or shotgun sequence data generated from less than one gram of sediment. Here we maximise sequence coverage by extracting DNA from ~50x more sediment per sample than previous studies to achieve genotype resolution. Reconstructing a time-series of environmental genomes from Late Pleistocene sediments we compare adaptive genotypes of threespine stickleback at key time points of the transition from a marine to freshwater ecosystem. We find a staggered temporal dynamic, in which freshwater alleles at known loci of large effect in marine-freshwater divergence of threespine stickleback (e.g. EDA) were already established during the brackish phase of the formation of the isolation basin. Yet marine alleles were still detected across the majority of marine-freshwater divergence associated loci, even after the complete isolation of the lake from marine ingression. Our retrospective approach to studying adaptation from environmental genomes of threespine sticklebacks at the end of the last glacial period complements contemporary experimental approaches and highlights the untapped potential for retrospective ‘evolve- and-resequence’ natural experiments using sedaDNA.