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A Population Genomic Assessment of Three Decades of Evolution in a Natural Drosophila Population

Population genetics seeks to illuminate the forces shaping genetic variation, often based on a single snapshot of genomic variation. However, utilizing multiple sampling times to study changes in allele frequencies can help clarify the relative roles of neutral and non-neutral forces on short time s...

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Autores principales: Lange, Jeremy D, Bastide, Héloïse, Lack, Justin B, Pool, John E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826484/
https://www.ncbi.nlm.nih.gov/pubmed/34971382
http://dx.doi.org/10.1093/molbev/msab368
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author Lange, Jeremy D
Bastide, Héloïse
Lack, Justin B
Pool, John E
author_facet Lange, Jeremy D
Bastide, Héloïse
Lack, Justin B
Pool, John E
author_sort Lange, Jeremy D
collection PubMed
description Population genetics seeks to illuminate the forces shaping genetic variation, often based on a single snapshot of genomic variation. However, utilizing multiple sampling times to study changes in allele frequencies can help clarify the relative roles of neutral and non-neutral forces on short time scales. This study compares whole-genome sequence variation of recently collected natural population samples of Drosophila melanogaster against a collection made approximately 35 years prior from the same locality—encompassing roughly 500 generations of evolution. The allele frequency changes between these time points would suggest a relatively small local effective population size on the order of 10,000, significantly smaller than the global effective population size of the species. Some loci display stronger allele frequency changes than would be expected anywhere in the genome under neutrality—most notably the tandem paralogs Cyp6a17 and Cyp6a23, which are impacted by structural variation associated with resistance to pyrethroid insecticides. We find a genome-wide excess of outliers for high genetic differentiation between old and new samples, but a larger number of adaptation targets may have affected SNP-level differentiation versus window differentiation. We also find evidence for strengthening latitudinal allele frequency clines: northern-associated alleles have increased in frequency by an average of nearly 2.5% at SNPs previously identified as clinal outliers, but no such pattern is observed at random SNPs. This project underscores the scientific potential of using multiple sampling time points to investigate how evolution operates in natural populations, by quantifying how genetic variation has changed over ecologically relevant timescales.
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spelling pubmed-88264842022-02-09 A Population Genomic Assessment of Three Decades of Evolution in a Natural Drosophila Population Lange, Jeremy D Bastide, Héloïse Lack, Justin B Pool, John E Mol Biol Evol Discoveries Population genetics seeks to illuminate the forces shaping genetic variation, often based on a single snapshot of genomic variation. However, utilizing multiple sampling times to study changes in allele frequencies can help clarify the relative roles of neutral and non-neutral forces on short time scales. This study compares whole-genome sequence variation of recently collected natural population samples of Drosophila melanogaster against a collection made approximately 35 years prior from the same locality—encompassing roughly 500 generations of evolution. The allele frequency changes between these time points would suggest a relatively small local effective population size on the order of 10,000, significantly smaller than the global effective population size of the species. Some loci display stronger allele frequency changes than would be expected anywhere in the genome under neutrality—most notably the tandem paralogs Cyp6a17 and Cyp6a23, which are impacted by structural variation associated with resistance to pyrethroid insecticides. We find a genome-wide excess of outliers for high genetic differentiation between old and new samples, but a larger number of adaptation targets may have affected SNP-level differentiation versus window differentiation. We also find evidence for strengthening latitudinal allele frequency clines: northern-associated alleles have increased in frequency by an average of nearly 2.5% at SNPs previously identified as clinal outliers, but no such pattern is observed at random SNPs. This project underscores the scientific potential of using multiple sampling time points to investigate how evolution operates in natural populations, by quantifying how genetic variation has changed over ecologically relevant timescales. Oxford University Press 2021-12-31 /pmc/articles/PMC8826484/ /pubmed/34971382 http://dx.doi.org/10.1093/molbev/msab368 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Discoveries
Lange, Jeremy D
Bastide, Héloïse
Lack, Justin B
Pool, John E
A Population Genomic Assessment of Three Decades of Evolution in a Natural Drosophila Population
title A Population Genomic Assessment of Three Decades of Evolution in a Natural Drosophila Population
title_full A Population Genomic Assessment of Three Decades of Evolution in a Natural Drosophila Population
title_fullStr A Population Genomic Assessment of Three Decades of Evolution in a Natural Drosophila Population
title_full_unstemmed A Population Genomic Assessment of Three Decades of Evolution in a Natural Drosophila Population
title_short A Population Genomic Assessment of Three Decades of Evolution in a Natural Drosophila Population
title_sort population genomic assessment of three decades of evolution in a natural drosophila population
topic Discoveries
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826484/
https://www.ncbi.nlm.nih.gov/pubmed/34971382
http://dx.doi.org/10.1093/molbev/msab368
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