Scots pine – panmixia and the elusive signal of genetic adaptation. Bruxaux, J., Zhao, W., Hall, D., Curtu, A. L., Androsiuk, P., Drouzas, A. D., Gailing, O., Konrad, H., Sullivan, A. R., Semerikov, V., & Wang, X. New Phytologist, 243(3):1231–1246, 2024. _eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/nph.19563![Scots pine – panmixia and the elusive signal of genetic adaptation [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Scots pine is the foundation species of diverse forested ecosystems across Eurasia and displays remarkable ecological breadth, occurring in environments ranging from temperate rainforests to arid tundra margins. Such expansive distributions can be favored by various demographic and adaptive processes and the interactions between them. To understand the impact of neutral and selective forces on genetic structure in Scots pine, we conducted range-wide population genetic analyses on 2321 trees from 202 populations using genotyping-by-sequencing, reconstructed the recent demography of the species and examined signals of genetic adaptation. We found a high and uniform genetic diversity across the entire range (global FST 0.048), no increased genetic load in expanding populations and minor impact of the last glacial maximum on historical population sizes. Genetic-environmental associations identified only a handful of single-nucleotide polymorphisms significantly linked to environmental gradients. The results suggest that extensive gene flow is predominantly responsible for the observed genetic patterns in Scots pine. The apparent missing signal of genetic adaptation is likely attributed to the intricate genetic architecture controlling adaptation to multi-dimensional environments. The panmixia metapopulation of Scots pine offers a good study system for further exploration into how genetic adaptation and plasticity evolve under gene flow and changing environment.
@article{bruxaux_scots_2024,
title = {Scots pine – panmixia and the elusive signal of genetic adaptation},
volume = {243},
copyright = {© 2024 The Authors. New Phytologist © 2024 New Phytologist Foundation},
issn = {1469-8137},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/nph.19563},
doi = {10.1111/nph.19563},
abstract = {Scots pine is the foundation species of diverse forested ecosystems across Eurasia and displays remarkable ecological breadth, occurring in environments ranging from temperate rainforests to arid tundra margins. Such expansive distributions can be favored by various demographic and adaptive processes and the interactions between them. To understand the impact of neutral and selective forces on genetic structure in Scots pine, we conducted range-wide population genetic analyses on 2321 trees from 202 populations using genotyping-by-sequencing, reconstructed the recent demography of the species and examined signals of genetic adaptation. We found a high and uniform genetic diversity across the entire range (global FST 0.048), no increased genetic load in expanding populations and minor impact of the last glacial maximum on historical population sizes. Genetic-environmental associations identified only a handful of single-nucleotide polymorphisms significantly linked to environmental gradients. The results suggest that extensive gene flow is predominantly responsible for the observed genetic patterns in Scots pine. The apparent missing signal of genetic adaptation is likely attributed to the intricate genetic architecture controlling adaptation to multi-dimensional environments. The panmixia metapopulation of Scots pine offers a good study system for further exploration into how genetic adaptation and plasticity evolve under gene flow and changing environment.},
language = {en},
number = {3},
urldate = {2024-07-11},
journal = {New Phytologist},
author = {Bruxaux, Jade and Zhao, Wei and Hall, David and Curtu, Alexandru Lucian and Androsiuk, Piotr and Drouzas, Andreas D. and Gailing, Oliver and Konrad, Heino and Sullivan, Alexis R. and Semerikov, Vladimir and Wang, Xiao-Ru},
year = {2024},
note = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/nph.19563},
keywords = {Pinus sylvestris, conifer, demography, gene flow, genetic diversity, genetic-environmental association, population structure},
pages = {1231--1246},
}
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