Affiliation:
1. Plant Ecology and Geobotany Philipps‐Universität Marburg Marburg Germany
2. Eva Mayr‐Stihl Professorship for Forest Genetics Albert‐Ludwigs Universität Freiburg Freiburg Germany
3. INTA Bariloche Instituto de Investigaciones Forestales y Agropecuarias Bariloche IFAB (INTA‐CONICET) San Carlos de Bariloche Argentina
4. Swiss Federal Research Institute WSL Birmensdorf Switzerland
5. Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE) Avignon France
Abstract
Societal Impact StatementForest trees tend to be strongly genetically adapted to their local environments, but climate change will probably subject trees to novel combinations of precipitation, temperature, and photoperiod. Local adaptation was investigated in the ecologically and economically important Patagonian tree species Nothofagus pumilio by characterizing its genetic diversity in relation to the varied environmental conditions across its range. These insights are useful for conservation and management decisions, for example by identifying suitable populations to establish seed source plantations for restoration and characterizing relationships with environmental drivers of selection to better understand how this species will respond to climate change.SummaryNothofagus pumilio is a foundation tree species that inhabits a 2000‐km‐long range in the southern Andes, a region with two perpendicular environmental gradients: temperature and photoperiod (North–South), and precipitation (West–East). We investigated local adaptation patterns by searching for relationships between environmental clines and signatures of adaptation in candidate genes related to stress response, growth, and phenology. Using a paired site sampling design within a landscape genome analysis, we analyzed 493 adult N. pumilio trees in 20 sampling sites across the species' latitudinal range. We screened 47,336 single nucleotide polymorphism (SNP) loci in 1632 contigs (i.e., coding regions along the genome). Population structure and genetic diversity analyses preceded four genome scan analyses using genetic and environmental data. Population structure and genetic diversity are mainly oriented along the latitude axis. Genome scans identified 445 outlier SNPs, which are loci showing signatures of selection. Temperature and photoperiod variables were associated with notably more outliers than precipitation. However, the most frequent biological functions among genes were water deprivation response and cold response, suggesting that stress response is comprised of complex and polygenic traits that are affected by many environmental variables. Our findings suggest that N. pumilio shows signatures of local adaptation to extant climate conditions, including temperature, photoperiod, and precipitation. However, climate change is likely to alter existing relationships among environmental conditions to which this species is currently adapted. These changes may have unpredictable consequences for the species' future survival, adaptation potential, and the people who depend upon these forests.
Funder
Deutsche Forschungsgemeinschaft