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Sébastien Devillard

Researcher at Claude Bernard University Lyon 1

Publications -  77
Citations -  6193

Sébastien Devillard is an academic researcher from Claude Bernard University Lyon 1. The author has contributed to research in topics: Population & Biological dispersal. The author has an hindex of 24, co-authored 70 publications receiving 5044 citations. Previous affiliations of Sébastien Devillard include Centre national de la recherche scientifique & University of Lyon.

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Discriminant analysis of principal components: a new method for the analysis of genetically structured populations

TL;DR: The Discriminant Analysis of Principal Components (DAPC) is introduced, a multivariate method designed to identify and describe clusters of genetically related individuals that performs generally better than STRUCTURE at characterizing population subdivision.
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Revealing cryptic spatial patterns in genetic variability by a new multivariate method

TL;DR: This paper proposes a new spatially explicit multivariate method, spatial principal component analysis (sPCA), to investigate the spatial pattern of genetic variability using allelic frequency data of individuals or populations, and shows that sPCA performed better than PCA to reveal spatial genetic patterns.
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Generation time: a reliable metric to measure life-history variation among mammalian populations.

TL;DR: The age of first reproduction is a reliable predictor of the ranking of mammalian populations along the slow‐fast continuum and that both body mass and phylogeny markedly influence the generation time of mammalian species.
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Additional haplogroups of Toxoplasma gondii out of Africa: population structure and mouse-virulence of strains from Gabon.

TL;DR: For the first time, key epidemiological questions were addressed for the West African T. gondii population, using the high discriminatory power of microsatellite markers, thus creating a basis for further epidemiological and clinical investigations.
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Data gaps and opportunities for comparative and conservation biology

TL;DR: The Demographic Species Knowledge Index is developed, which classifies the available information for 32,144 (97%) of extant described mammals, birds, reptiles, and amphibians, and shows that data from zoos and aquariums in the Species360 network can significantly improve knowledge for an almost eightfold gain.