Published April 29, 2021 | Version 0.1.0
Dataset Open

Topography drives microgeographic adaptations of closely-related species in two tropical tree species complexes

  • 1. NRS, UMR EcoFoG (Agroparistech,, Cirad, INRAE, Université des Antilles, Université de la Guyane), Campus Agronomique, 97310 Kourou, French Guiana
  • 2. INRAE, UMR EcoFoG (Agroparistech, CNRS, Cirad, Université des Antilles, Université de la Guyane), Campus Agronomique, 97310 Kourou, French Guiana
  • 3. CIRAD, UPR Forêts et Sociétés, Yamoussoukro, Côte d'Ivoire
  • 4. Univ. Bordeaux, INRAE, BIOGECO, 69 route d'Arcachon, 33610 Cestas, France

Description

Combining LiDAR-derived topography, tree inventories, and single nucleotide polymorphisms (SNPs) from gene capture experiments, we explored genome-wide population genetic structure, covariation of environmental variables, and genotype-environment association to assess microgeographic adaptations to topography within the species complexes Symphonia (Clusiaceae), and Eschweilera (Lecythidaceae) with three species per complex and 385 and 257 individuals genotyped, respectively.

Files

Files (10.6 MB)

Name Size Download all
md5:4b1e6e1b58ae902439437143c9ba358a
78.7 kB Download
md5:dd77b161d24181e3087b2413053ffd72
10.2 MB Download
md5:2c8fec1414ca43cf9e34e5d7291a0231
298.9 kB Download

Additional details

References

  • Schmitt, S., Tysklind, N., Hérault, B., & Heuertz, M. (2021). Topography drives microgeographic adaptations of closely related species in two tropical tree species complexes. Molecular Ecology, mec.16116. https://doi.org/10.1111/mec.16116