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Genomic signatures of natural selection at phenology-related genes in a widely distributed tree species Fagus sylvatica L
BACKGROUND: Diversity among phenology-related genes is predicted to be a contributing factor in local adaptations seen in widely distributed plant species that grow in climatically variable geographic areas, such as forest trees. European beech (Fagus sylvatica L.) is widespread, and is one of the m...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8325806/ https://www.ncbi.nlm.nih.gov/pubmed/34332553 http://dx.doi.org/10.1186/s12864-021-07907-5 |
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author | Meger, Joanna Ulaszewski, Bartosz Burczyk, Jaroslaw |
author_facet | Meger, Joanna Ulaszewski, Bartosz Burczyk, Jaroslaw |
author_sort | Meger, Joanna |
collection | PubMed |
description | BACKGROUND: Diversity among phenology-related genes is predicted to be a contributing factor in local adaptations seen in widely distributed plant species that grow in climatically variable geographic areas, such as forest trees. European beech (Fagus sylvatica L.) is widespread, and is one of the most important broadleaved tree species in Europe; however, its potential for adaptation to climate change is a matter of uncertainty, and little is known about the molecular basis of climate change-relevant traits like bud burst. RESULTS: We explored single nucleotide polymorphisms (SNP) at candidate genes related to bud burst in beech individuals sampled across 47 populations from Europe. SNP diversity was monitored for 380 candidate genes using a sequence capture approach, providing 2909 unlinked SNP loci. We used two complementary analytical methods to find loci significantly associated with geographic variables, climatic variables (expressed as principal components), or phenotypic variables (spring and autumn phenology, height, survival). Redundancy analysis (RDA) was used to detect candidate markers across two spatial scales (entire study area and within subregions). We revealed 201 candidate SNPs at the broadest scale, 53.2% of which were associated with phenotypic variables. Additive polygenic scores, which provide a measure of the cumulative signal across significant candidate SNPs, were correlated with a climate variable (first principal component, PC1) related to temperature and precipitation availability, and spring phenology. However, different genotype-environment associations were identified within Southeastern Europe as compared to the entire geographic range of European beech. CONCLUSIONS: Environmental conditions play important roles as drivers of genetic diversity of phenology-related genes that could influence local adaptation in European beech. Selection in beech favors genotypes with earlier bud burst under warmer and wetter habitats within its range; however, selection pressures may differ across spatial scales. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07907-5. |
format | Online Article Text |
id | pubmed-8325806 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-83258062021-08-02 Genomic signatures of natural selection at phenology-related genes in a widely distributed tree species Fagus sylvatica L Meger, Joanna Ulaszewski, Bartosz Burczyk, Jaroslaw BMC Genomics Research BACKGROUND: Diversity among phenology-related genes is predicted to be a contributing factor in local adaptations seen in widely distributed plant species that grow in climatically variable geographic areas, such as forest trees. European beech (Fagus sylvatica L.) is widespread, and is one of the most important broadleaved tree species in Europe; however, its potential for adaptation to climate change is a matter of uncertainty, and little is known about the molecular basis of climate change-relevant traits like bud burst. RESULTS: We explored single nucleotide polymorphisms (SNP) at candidate genes related to bud burst in beech individuals sampled across 47 populations from Europe. SNP diversity was monitored for 380 candidate genes using a sequence capture approach, providing 2909 unlinked SNP loci. We used two complementary analytical methods to find loci significantly associated with geographic variables, climatic variables (expressed as principal components), or phenotypic variables (spring and autumn phenology, height, survival). Redundancy analysis (RDA) was used to detect candidate markers across two spatial scales (entire study area and within subregions). We revealed 201 candidate SNPs at the broadest scale, 53.2% of which were associated with phenotypic variables. Additive polygenic scores, which provide a measure of the cumulative signal across significant candidate SNPs, were correlated with a climate variable (first principal component, PC1) related to temperature and precipitation availability, and spring phenology. However, different genotype-environment associations were identified within Southeastern Europe as compared to the entire geographic range of European beech. CONCLUSIONS: Environmental conditions play important roles as drivers of genetic diversity of phenology-related genes that could influence local adaptation in European beech. Selection in beech favors genotypes with earlier bud burst under warmer and wetter habitats within its range; however, selection pressures may differ across spatial scales. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07907-5. BioMed Central 2021-07-31 /pmc/articles/PMC8325806/ /pubmed/34332553 http://dx.doi.org/10.1186/s12864-021-07907-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Meger, Joanna Ulaszewski, Bartosz Burczyk, Jaroslaw Genomic signatures of natural selection at phenology-related genes in a widely distributed tree species Fagus sylvatica L |
title | Genomic signatures of natural selection at phenology-related genes in a widely distributed tree species Fagus sylvatica L |
title_full | Genomic signatures of natural selection at phenology-related genes in a widely distributed tree species Fagus sylvatica L |
title_fullStr | Genomic signatures of natural selection at phenology-related genes in a widely distributed tree species Fagus sylvatica L |
title_full_unstemmed | Genomic signatures of natural selection at phenology-related genes in a widely distributed tree species Fagus sylvatica L |
title_short | Genomic signatures of natural selection at phenology-related genes in a widely distributed tree species Fagus sylvatica L |
title_sort | genomic signatures of natural selection at phenology-related genes in a widely distributed tree species fagus sylvatica l |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8325806/ https://www.ncbi.nlm.nih.gov/pubmed/34332553 http://dx.doi.org/10.1186/s12864-021-07907-5 |
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