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Museomics identifies genetic erosion in two butterfly species across the 20th century in Finland

Erosion of biodiversity generated by anthropogenic activities has been studied for decades and in many areas at the species level, using taxa monitoring. In contrast, genetic erosion within species has rarely been tracked, and is often studied by inferring past population dynamics from contemporaneo...

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Autores principales: Gauthier, Jérémy, Pajkovic, Mila, Neuenschwander, Samuel, Kaila, Lauri, Schmid, Sarah, Orlando, Ludovic, Alvarez, Nadir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7540272/
https://www.ncbi.nlm.nih.gov/pubmed/32304133
http://dx.doi.org/10.1111/1755-0998.13167
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author Gauthier, Jérémy
Pajkovic, Mila
Neuenschwander, Samuel
Kaila, Lauri
Schmid, Sarah
Orlando, Ludovic
Alvarez, Nadir
author_facet Gauthier, Jérémy
Pajkovic, Mila
Neuenschwander, Samuel
Kaila, Lauri
Schmid, Sarah
Orlando, Ludovic
Alvarez, Nadir
author_sort Gauthier, Jérémy
collection PubMed
description Erosion of biodiversity generated by anthropogenic activities has been studied for decades and in many areas at the species level, using taxa monitoring. In contrast, genetic erosion within species has rarely been tracked, and is often studied by inferring past population dynamics from contemporaneous estimators. An alternative to such inferences is the direct examination of past genes, by analysing museum collection specimens. While providing direct access to genetic variation over time, historical DNA is usually not optimally preserved, and it is necessary to apply genotyping methods based on hybridization‐capture to unravel past genetic variation. In this study, we apply such a method (i.e., HyRAD), to large time series of two butterfly species in Finland, and present a new bioinformatic pipeline, namely PopHyRAD, that standardizes and optimizes the analysis of HyRAD data at the within‐species level. In the localities for which the data retrieved have sufficient power to accurately examine genetic dynamics through time, we show that genetic erosion has increased across the last 100 years, as revealed by signatures of allele extinctions and heterozygosity decreases, despite local variations. In one of the two butterflies (Erebia embla), isolation by distance also increased through time, revealing the effect of greater habitat fragmentation over time.
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spelling pubmed-75402722020-10-09 Museomics identifies genetic erosion in two butterfly species across the 20th century in Finland Gauthier, Jérémy Pajkovic, Mila Neuenschwander, Samuel Kaila, Lauri Schmid, Sarah Orlando, Ludovic Alvarez, Nadir Mol Ecol Resour Special Feature: Genomics of Natural History Collections for Understanding Evolution in the Wild Erosion of biodiversity generated by anthropogenic activities has been studied for decades and in many areas at the species level, using taxa monitoring. In contrast, genetic erosion within species has rarely been tracked, and is often studied by inferring past population dynamics from contemporaneous estimators. An alternative to such inferences is the direct examination of past genes, by analysing museum collection specimens. While providing direct access to genetic variation over time, historical DNA is usually not optimally preserved, and it is necessary to apply genotyping methods based on hybridization‐capture to unravel past genetic variation. In this study, we apply such a method (i.e., HyRAD), to large time series of two butterfly species in Finland, and present a new bioinformatic pipeline, namely PopHyRAD, that standardizes and optimizes the analysis of HyRAD data at the within‐species level. In the localities for which the data retrieved have sufficient power to accurately examine genetic dynamics through time, we show that genetic erosion has increased across the last 100 years, as revealed by signatures of allele extinctions and heterozygosity decreases, despite local variations. In one of the two butterflies (Erebia embla), isolation by distance also increased through time, revealing the effect of greater habitat fragmentation over time. John Wiley and Sons Inc. 2020-05-14 2020-09 /pmc/articles/PMC7540272/ /pubmed/32304133 http://dx.doi.org/10.1111/1755-0998.13167 Text en © 2020 John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Special Feature: Genomics of Natural History Collections for Understanding Evolution in the Wild
Gauthier, Jérémy
Pajkovic, Mila
Neuenschwander, Samuel
Kaila, Lauri
Schmid, Sarah
Orlando, Ludovic
Alvarez, Nadir
Museomics identifies genetic erosion in two butterfly species across the 20th century in Finland
title Museomics identifies genetic erosion in two butterfly species across the 20th century in Finland
title_full Museomics identifies genetic erosion in two butterfly species across the 20th century in Finland
title_fullStr Museomics identifies genetic erosion in two butterfly species across the 20th century in Finland
title_full_unstemmed Museomics identifies genetic erosion in two butterfly species across the 20th century in Finland
title_short Museomics identifies genetic erosion in two butterfly species across the 20th century in Finland
title_sort museomics identifies genetic erosion in two butterfly species across the 20th century in finland
topic Special Feature: Genomics of Natural History Collections for Understanding Evolution in the Wild
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7540272/
https://www.ncbi.nlm.nih.gov/pubmed/32304133
http://dx.doi.org/10.1111/1755-0998.13167
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