Wachowiak, Witold; Perry, Annika
ORCID: https://orcid.org/0000-0002-7889-7597; Zaborowska, Julia; González-Martínez, Santiago C.; Cavers, Stephen
ORCID: https://orcid.org/0000-0003-2139-9236.
2022
Admixture and selection patterns across the European distribution of Scots pine, Pinus sylvestris (Pinaceae).
Botanical Journal of the Linnean Society, 200 (3).
416-432.
10.1093/botlinnean/boac016
Abstract
We analysed data on nucleotide polymorphism at 78 nuclear genes to search for signatures of divergence and selection in populations from across the distribution of Pinus sylvestris in Europe. Data on variation at a large set of maternally inherited mitochondrial DNA markers were also analysed. Most nuclear loci showed homogeneous patterns of variation across populations from Spain, Central Europe, Nordic countries and Scotland. Mitochondrial markers did not reveal strong population structure but suggested admixture of samples carrying different mitochondrial lineages in certain parts of the distribution. At nuclear DNA loci, we found high nucleotide polymorphism, generally low population differentiation and weak signals of isolation by distance. Together with the mitochondrial DNA results, these patterns seem most likely to be associated with a process of colonization from multiple sources and efficient gene flow. The results are in line with demographic inference indicating establishment of Central European and Nordic populations before the Last Glacial Maximum and admixture of colonization fronts from mainland Europe in Scottish populations. Coalescent and outlier detection methods identified several genes showing molecular signatures of selection especially in response to temperature variation in ecologically and phenotypically divergent populations. The study provides a large set of markers for analysis of genetic diversity in populations of P. sylvestris, including candidate genes that are implicated in local adaptation and population divergence.
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533465:190433
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Available under License Creative Commons Attribution 4.0.
Available under License Creative Commons Attribution 4.0.
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