10.5061/DRYAD.PC866T1K5
Capblancq, Thibaut
0000-0001-5024-1302
University of Vermont
Morin, Xavier
Université Paul-Valéry Montpellier
Gueguen, Maya
Grenoble Alpes University
Renaud, Julien
Grenoble Alpes University
Lobreaux, Stéphane
Grenoble Alpes University
Bazin, Eric
Grenoble Alpes University
Climate associated genetic variation in Fagus sylvatica and potential
responses to climate change in the French Alps
Dryad
dataset
2020
RDA
Fagus sylvatica
French Alps
Agence Nationale de la Recherche
https://ror.org/00rbzpz17
ANR‐15‐CE02‐0004
Ministère de l'Agriculture et de la Souveraineté alimentaire
https://ror.org/029m96t80
ECOFOR‐2014‐23
2020-03-06T00:00:00Z
2020-03-06T00:00:00Z
en
https://doi.org/10.1111/jeb.13610
132729513 bytes
2
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Local adaptation patterns have been found in many plants and animals,
highlighting the genetic heterogeneity of species along their range of
distribution. In the next decades, global warming is predicted to induce a
change in the selective pressures that drive this adaptive variation,
forcing a reshuffling of the underlying adaptive allele distributions. For
species with low dispersion capacity and long generation time such as
trees, the rapidity of the change could imped the migration of beneficial
alleles and lower their capacity to track the changing environment.
Identifying the main selective pressures driving the adaptive genetic
variation is thus necessary when investigating species capacity to respond
to global warming. In this study, we investigate the adaptive landscape
of Fagus sylvatica along a gradient of populations in the French Alps.
Using a double digest restriction-site associated DNA (ddRAD) sequencing
approach, we identified 7,000 SNPs from 570 individuals across 36
different sites. A redundancy analysis (RDA)-derived method allowed us to
identify several SNPs that were strongly associated with climatic
gradients; moreover, we defined the primary selective gradients along the
natural populations of F. sylvatica in the Alps. Strong effects of
elevation and humidity, which contrast north-western and south-eastern
site, were found and were believed to be important drivers of genetic
adaptation. Finally, simulations of future genetic landscapes that used
these findings allowed identifying populations at risk for F. sylvatica in
the Alps, which could be helpful for future management plans.