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Adaptive divergence and genetic vulnerability of relict species under climate change: a case study of Pterocarya macroptera

BACKGROUND AND AIMS: Understanding adaptive genetic variation and whether it can keep pace with predicted future climate change is critical in assessing the genetic vulnerability of species and developing conservation management strategies. The lack of information on adaptive genetic variation in re...

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Autores principales: Wang, Tian-Rui, Meng, Hong-Hu, Wang, Nian, Zheng, Si-Si, Jiang, Yun, Lin, Duo-Qing, Song, Yi-Gang, Kozlowski, Gregor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10583204/
https://www.ncbi.nlm.nih.gov/pubmed/37409981
http://dx.doi.org/10.1093/aob/mcad083
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author Wang, Tian-Rui
Meng, Hong-Hu
Wang, Nian
Zheng, Si-Si
Jiang, Yun
Lin, Duo-Qing
Song, Yi-Gang
Kozlowski, Gregor
author_facet Wang, Tian-Rui
Meng, Hong-Hu
Wang, Nian
Zheng, Si-Si
Jiang, Yun
Lin, Duo-Qing
Song, Yi-Gang
Kozlowski, Gregor
author_sort Wang, Tian-Rui
collection PubMed
description BACKGROUND AND AIMS: Understanding adaptive genetic variation and whether it can keep pace with predicted future climate change is critical in assessing the genetic vulnerability of species and developing conservation management strategies. The lack of information on adaptive genetic variation in relict species carrying abundant genetic resources hinders the assessment of genetic vulnerability. Using a landscape genomics approach, this study aimed to determine how adaptive genetic variation shapes population divergence and to predict the adaptive potential of Pterocarya macroptera (a vulnerable relict species in China) under future climate scenarios. METHODS: We applied restriction site-associated DNA sequencing (RAD-seq) to obtain 8244 single-nucleotide polymorphisms (SNPs) from 160 individuals across 28 populations. We examined the pattern of genetic diversity and divergence, and then identified outliers by genetic differentiation (F(ST)) and genotype–environment association (GEA) methods. We further dissected the effect of geographical/environmental gradients on genetic variation. Finally, we predicted genetic vulnerability and adaptive risk under future climate scenarios. KEY RESULTS: We identified three genetic lineages within P. macroptera: the Qinling-Daba-Tianmu Mountains (QDT), Western Sichuan (WS) and Northwest Yunnan (NWY) lineages, which showed significant signals of isolation by distance (IBD) and isolation by environment (IBE). IBD and IBE explained 3.7–5.7 and 8.6–12.8 % of the genetic structure, respectively. The identified GEA SNP-related genes were involved in chemical defence and gene regulation and may exhibit higher genetic variation to adapt to the environment. Gradient forest analysis revealed that the genetic variation was mainly shaped by temperature-related variables, indicating its adaptation to local thermal environments. A limited adaptive potential was suggested by the high levels of genetic vulnerability in marginal populations. CONCLUSIONS: Environmental gradient mainly shaped the population differentiation of P. macroptera. Marginal populations may be at high risk of extinction, and thus proactive management measures, such as assisted gene flow, are required to ensure the survival of these populations.
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spelling pubmed-105832042023-10-19 Adaptive divergence and genetic vulnerability of relict species under climate change: a case study of Pterocarya macroptera Wang, Tian-Rui Meng, Hong-Hu Wang, Nian Zheng, Si-Si Jiang, Yun Lin, Duo-Qing Song, Yi-Gang Kozlowski, Gregor Ann Bot Original Articles BACKGROUND AND AIMS: Understanding adaptive genetic variation and whether it can keep pace with predicted future climate change is critical in assessing the genetic vulnerability of species and developing conservation management strategies. The lack of information on adaptive genetic variation in relict species carrying abundant genetic resources hinders the assessment of genetic vulnerability. Using a landscape genomics approach, this study aimed to determine how adaptive genetic variation shapes population divergence and to predict the adaptive potential of Pterocarya macroptera (a vulnerable relict species in China) under future climate scenarios. METHODS: We applied restriction site-associated DNA sequencing (RAD-seq) to obtain 8244 single-nucleotide polymorphisms (SNPs) from 160 individuals across 28 populations. We examined the pattern of genetic diversity and divergence, and then identified outliers by genetic differentiation (F(ST)) and genotype–environment association (GEA) methods. We further dissected the effect of geographical/environmental gradients on genetic variation. Finally, we predicted genetic vulnerability and adaptive risk under future climate scenarios. KEY RESULTS: We identified three genetic lineages within P. macroptera: the Qinling-Daba-Tianmu Mountains (QDT), Western Sichuan (WS) and Northwest Yunnan (NWY) lineages, which showed significant signals of isolation by distance (IBD) and isolation by environment (IBE). IBD and IBE explained 3.7–5.7 and 8.6–12.8 % of the genetic structure, respectively. The identified GEA SNP-related genes were involved in chemical defence and gene regulation and may exhibit higher genetic variation to adapt to the environment. Gradient forest analysis revealed that the genetic variation was mainly shaped by temperature-related variables, indicating its adaptation to local thermal environments. A limited adaptive potential was suggested by the high levels of genetic vulnerability in marginal populations. CONCLUSIONS: Environmental gradient mainly shaped the population differentiation of P. macroptera. Marginal populations may be at high risk of extinction, and thus proactive management measures, such as assisted gene flow, are required to ensure the survival of these populations. Oxford University Press 2023-07-06 /pmc/articles/PMC10583204/ /pubmed/37409981 http://dx.doi.org/10.1093/aob/mcad083 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the Annals of Botany Company. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Wang, Tian-Rui
Meng, Hong-Hu
Wang, Nian
Zheng, Si-Si
Jiang, Yun
Lin, Duo-Qing
Song, Yi-Gang
Kozlowski, Gregor
Adaptive divergence and genetic vulnerability of relict species under climate change: a case study of Pterocarya macroptera
title Adaptive divergence and genetic vulnerability of relict species under climate change: a case study of Pterocarya macroptera
title_full Adaptive divergence and genetic vulnerability of relict species under climate change: a case study of Pterocarya macroptera
title_fullStr Adaptive divergence and genetic vulnerability of relict species under climate change: a case study of Pterocarya macroptera
title_full_unstemmed Adaptive divergence and genetic vulnerability of relict species under climate change: a case study of Pterocarya macroptera
title_short Adaptive divergence and genetic vulnerability of relict species under climate change: a case study of Pterocarya macroptera
title_sort adaptive divergence and genetic vulnerability of relict species under climate change: a case study of pterocarya macroptera
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10583204/
https://www.ncbi.nlm.nih.gov/pubmed/37409981
http://dx.doi.org/10.1093/aob/mcad083
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