TY - JOUR
T1 - Population structure and signals of local adaptation in Eugenia uniflora (Myrtaceae), a widely distributed species in the Atlantic Forest
AU - Vetö, Nicole Moreira
AU - Postolache, Dragos
AU - Guzman Escudero, Frank L.
AU - Vajana, Elia
AU - Braga, Ricardo Burgo
AU - Salgueiro, Fabiano
AU - Margis, Rogério
AU - Vendramin, Giovanni G.
AU - Turchetto-Zolet, Andreia C.
N1 - Publisher Copyright:
© The Author(s) 2022. Published by Oxford University Press on behalf of The Linnean Society of London. All rights reserved.
PY - 2023/1/1
Y1 - 2023/1/1
N2 - Evolutionary diversity in species can arise in many ways, including local adaptation. Despite the global importance of tropical forest ecosystems, few studies have explored patterns of local adaptation in tropical tree species. We investigated population genetic structure and adaptive genetic diversity in Eugenia uniflora, a widely distributed tree species across the Atlantic Forest Domain (AFD). We sampled E. uniflora in distinct environments from the AFD and genotyped 523 single-nucleotide polymorphisms (SNPs) using a candidate gene approach. We studied neutral population structure and used two outlier methods based on population differentiation (Bayescan and LEA) and one gene-environment association analysis (LFMM) to detect putative SNPs under divergent selection. We detected spatial population structuring between the northern and southern range of the species distribution and higher genetic diversity in southern populations from the riparian forest. We found 18 candidate loci potentially involved in local adaptation, among which LEA and LFMM both detected seven loci. Overall, precipitation-related variables were more represented in statistically significant genotype-climate associations (c. 60%). Our study provides a first insight into the distribution of adaptive genetic variation in E. uniflora, highlighting how tropical tree species may adapt over time and across the AFD.
AB - Evolutionary diversity in species can arise in many ways, including local adaptation. Despite the global importance of tropical forest ecosystems, few studies have explored patterns of local adaptation in tropical tree species. We investigated population genetic structure and adaptive genetic diversity in Eugenia uniflora, a widely distributed tree species across the Atlantic Forest Domain (AFD). We sampled E. uniflora in distinct environments from the AFD and genotyped 523 single-nucleotide polymorphisms (SNPs) using a candidate gene approach. We studied neutral population structure and used two outlier methods based on population differentiation (Bayescan and LEA) and one gene-environment association analysis (LFMM) to detect putative SNPs under divergent selection. We detected spatial population structuring between the northern and southern range of the species distribution and higher genetic diversity in southern populations from the riparian forest. We found 18 candidate loci potentially involved in local adaptation, among which LEA and LFMM both detected seven loci. Overall, precipitation-related variables were more represented in statistically significant genotype-climate associations (c. 60%). Our study provides a first insight into the distribution of adaptive genetic variation in E. uniflora, highlighting how tropical tree species may adapt over time and across the AFD.
KW - Neotropics
KW - SNPs
KW - adaptation
KW - candidate genes
KW - genetic variation
KW - pitanga
UR - http://www.scopus.com/inward/record.url?scp=85144674630&partnerID=8YFLogxK
U2 - 10.1093/botlinnean/boac012
DO - 10.1093/botlinnean/boac012
M3 - Artículo
AN - SCOPUS:85144674630
SN - 0024-4074
VL - 201
SP - 100
EP - 113
JO - Botanical Journal of the Linnean Society
JF - Botanical Journal of the Linnean Society
IS - 1
ER -