This dataset provides the raw data for the population genetic analyses for the article: "Mountain landscape connectivity and subspecies appurtenance shape genetic differentiation in natural plant populations of the snapdragon (Antirrhinum majus L.)" by Benoit Pujol; Juliette Archambeau; Aurore Bontemps; Mylène Lascoste; Sara Marin; and Alexandre Meunier found in the journal "Botany Letters", Vol 164 pp. 111-119 (DOI: 10.1080/23818107.2017.1310056). Link to journal open access article: http://www.tandfonline.com/doi/pdf/10.1080/23818107.2017.1310056 Link to Zenodo article reporsitory: https://zenodo.org/record/801169 The datafile includes three data sheets: Data, which contains for each plant : the name of the population, the name of the sampled individual, the subspecies, the latitude of the population, the longitude of the population, the altitudinal elevation of the population in meters, and the microsatellite genotype of each plant. Genotype data is recorded by locus (two columns for the two alleles at one locus). Locus name is found as the title of the column. The record for each allele is its allele size. valleys 1 and valleys 2, which contains the association between populations and valleys following the two scenarios that we analyzed in the paper. Microsatelite loci were developed during previous work: see the following paper for more details: Debout, G., E. Lhuillier, P.-J. Malé, B. Pujol, and C. Thébaud. 2012. Development and characterization of 24 polymorphic microsatellite loci in two Antirrhinum majus subspecies (Plantaginaceae) using pyrosequencing technology. Conservation Genetics Resources 4:75-79.

This work was supported by a research grant from the SBF (Société Botanique de France) to BP, a research grant from the IDEX UNITI (CAPS project) to BP and a research grant from the French "Agence Nationale de la Recherche" (ANR-13-JSV7-0002 "CAPA") to BP. This work is also part of a project that received funding from the European Research Council (ERC) under the horizon 2020 research and innovation program (grant agreement No ERC-CoG-2015-681484-ANGI to BP). This work has benefited from the "Laboratoire d'Excellence (LABEX)" entitled TULIP (ANR - 10-LABX -41), from "Investissement d'Avenir" grants managed by the French Agence Nationale de la Recherche (CEBA, ref. ANR -10- LABX -25- 01) and Toulouse Initiative of Excellence "IDEX UNITI" (ANR11-IDEX-0002-02).