Genomic assessment of local adaptation in dwarf birch to inform assisted gene flow
Abstract When populations of a rare species are small, isolated and declining under climate change, some populations may become locally maladapted. Detecting this maladaptation may allow effective rapid conservation interventions, even if based on incomplete knowledge. Population maladaptation may b...
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ftdoajarticles:oai:doaj.org/article:91b4d920620342dabcd9630b9b718c33 2023-05-15T15:44:30+02:00 Genomic assessment of local adaptation in dwarf birch to inform assisted gene flow James S. Borrell Jasmin Zohren Richard A. Nichols Richard J. A. Buggs 2020-01-01T00:00:00Z https://doi.org/10.1111/eva.12883 https://doaj.org/article/91b4d920620342dabcd9630b9b718c33 EN eng Wiley https://doi.org/10.1111/eva.12883 https://doaj.org/toc/1752-4571 1752-4571 doi:10.1111/eva.12883 https://doaj.org/article/91b4d920620342dabcd9630b9b718c33 Evolutionary Applications, Vol 13, Iss 1, Pp 161-175 (2020) adaptive potential assisted gene flow climate change conservation genetics environmental association analysis evolutionary conservation Evolution QH359-425 article 2020 ftdoajarticles https://doi.org/10.1111/eva.12883 2022-12-31T03:41:43Z Abstract When populations of a rare species are small, isolated and declining under climate change, some populations may become locally maladapted. Detecting this maladaptation may allow effective rapid conservation interventions, even if based on incomplete knowledge. Population maladaptation may be estimated by finding genome–environment associations (GEA) between allele frequencies and environmental variables across a local species range, and identifying populations whose allele frequencies do not fit with these trends. We can then design assisted gene flow strategies for maladapted populations, to adjust their allele frequencies, entailing lower levels of intervention than with undirected conservation action. Here, we investigate this strategy in Scottish populations of the montane plant dwarf birch (Betula nana). In genome‐wide restriction site‐associated single nucleotide polymorphism (SNP) data, we found 267 significant associations between SNP loci and environmental variables. We ranked populations by maladaptation estimated using allele frequency deviation from the general trends at these loci; this gave a different prioritization for conservation action than the Shapely Index, which seeks to preserve rare neutral variation. Populations estimated to be maladapted in their allele frequencies at loci associated with annual mean temperature were found to have reduced catkin production. Using an environmental niche modelling (ENM) approach, we found annual mean temperature (35%), and mean diurnal range (15%), to be important predictors of the dwarf birch distribution. Intriguingly, there was a significant correlation between the number of loci associated with each environmental variable in the GEA and the importance of that variable in the ENM. Together, these results suggest that the same environmental variables determine both adaptive genetic variation and species range in Scottish dwarf birch. We suggest an assisted gene flow strategy that aims to maximize the local adaptation of dwarf birch populations ... Article in Journal/Newspaper Betula nana Dwarf birch Directory of Open Access Journals: DOAJ Articles Evolutionary Applications 13 1 161 175 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
adaptive potential assisted gene flow climate change conservation genetics environmental association analysis evolutionary conservation Evolution QH359-425 |
spellingShingle |
adaptive potential assisted gene flow climate change conservation genetics environmental association analysis evolutionary conservation Evolution QH359-425 James S. Borrell Jasmin Zohren Richard A. Nichols Richard J. A. Buggs Genomic assessment of local adaptation in dwarf birch to inform assisted gene flow |
topic_facet |
adaptive potential assisted gene flow climate change conservation genetics environmental association analysis evolutionary conservation Evolution QH359-425 |
description |
Abstract When populations of a rare species are small, isolated and declining under climate change, some populations may become locally maladapted. Detecting this maladaptation may allow effective rapid conservation interventions, even if based on incomplete knowledge. Population maladaptation may be estimated by finding genome–environment associations (GEA) between allele frequencies and environmental variables across a local species range, and identifying populations whose allele frequencies do not fit with these trends. We can then design assisted gene flow strategies for maladapted populations, to adjust their allele frequencies, entailing lower levels of intervention than with undirected conservation action. Here, we investigate this strategy in Scottish populations of the montane plant dwarf birch (Betula nana). In genome‐wide restriction site‐associated single nucleotide polymorphism (SNP) data, we found 267 significant associations between SNP loci and environmental variables. We ranked populations by maladaptation estimated using allele frequency deviation from the general trends at these loci; this gave a different prioritization for conservation action than the Shapely Index, which seeks to preserve rare neutral variation. Populations estimated to be maladapted in their allele frequencies at loci associated with annual mean temperature were found to have reduced catkin production. Using an environmental niche modelling (ENM) approach, we found annual mean temperature (35%), and mean diurnal range (15%), to be important predictors of the dwarf birch distribution. Intriguingly, there was a significant correlation between the number of loci associated with each environmental variable in the GEA and the importance of that variable in the ENM. Together, these results suggest that the same environmental variables determine both adaptive genetic variation and species range in Scottish dwarf birch. We suggest an assisted gene flow strategy that aims to maximize the local adaptation of dwarf birch populations ... |
format |
Article in Journal/Newspaper |
author |
James S. Borrell Jasmin Zohren Richard A. Nichols Richard J. A. Buggs |
author_facet |
James S. Borrell Jasmin Zohren Richard A. Nichols Richard J. A. Buggs |
author_sort |
James S. Borrell |
title |
Genomic assessment of local adaptation in dwarf birch to inform assisted gene flow |
title_short |
Genomic assessment of local adaptation in dwarf birch to inform assisted gene flow |
title_full |
Genomic assessment of local adaptation in dwarf birch to inform assisted gene flow |
title_fullStr |
Genomic assessment of local adaptation in dwarf birch to inform assisted gene flow |
title_full_unstemmed |
Genomic assessment of local adaptation in dwarf birch to inform assisted gene flow |
title_sort |
genomic assessment of local adaptation in dwarf birch to inform assisted gene flow |
publisher |
Wiley |
publishDate |
2020 |
url |
https://doi.org/10.1111/eva.12883 https://doaj.org/article/91b4d920620342dabcd9630b9b718c33 |
genre |
Betula nana Dwarf birch |
genre_facet |
Betula nana Dwarf birch |
op_source |
Evolutionary Applications, Vol 13, Iss 1, Pp 161-175 (2020) |
op_relation |
https://doi.org/10.1111/eva.12883 https://doaj.org/toc/1752-4571 1752-4571 doi:10.1111/eva.12883 https://doaj.org/article/91b4d920620342dabcd9630b9b718c33 |
op_doi |
https://doi.org/10.1111/eva.12883 |
container_title |
Evolutionary Applications |
container_volume |
13 |
container_issue |
1 |
container_start_page |
161 |
op_container_end_page |
175 |
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1766378883229155328 |