DE NAVASCUES M

miguel.navascues@inrae.fr

+33 4 99 62 33 70

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Miguel DE NAVASCUES

Chargé de recherche, INRAE

Axe(s)

Écologie et génétique évolutive des populations

I am a permanent researcher (Chargé de Recherche INRAE) at the CBGP (Centre de Biologie pour la Gestion des Populations) at Montpellier. I work on the development and evaluation of statistical approaches for the analysis of population genetic data for the inference of demographic history and detection of loci under selection. Currently I am focused on simulation-based approaches for the joint inference of demography and selection from temporal data.

Ahmadi N., Barry M.B., Frouin J., de Navascués M. & Toure M.A. 2023. Genome scan of rice landrace populations collected across time revealed climate changes' selective footprints in the genes network regulating flowering time. Rice 16 : 15. (https://dx.doi.org/10.1186/s12284-023-00633-4)

Jensen E.L., Díez-del-Molino D., Gilbert M.T.P., Bertola L.D., Borges F., Cubric-Curik V., de Navascués M., Frandsen P., Heuertz M., Hvilsom C., Jiménez-Mena B., Miettinen A., Moest M., Pečnerová P., Barnes I. & Vernesi C. 2022. Ancient and historical DNA in conservation policy. Trends in Ecology & Evolution 37 : 420-429. (https://dx.doi.org/10.1016/j.tree.2021.12.010)

Pavinato V.A.C., De Mita S., Marin J.-M. & de Navascués M. 2022. Joint inference of adaptive and demographic history from temporal population genomic data. Peer Community Journal 2 : e78. (https://dx.doi.org/10.24072/pcjournal.203)

de Navascués M., Becheler A., Gay L., Ronfort J., Loridon K. & Vitalis R. 2021. Power and limits of selection genome scans on temporal data from a selfing population. Peer Community Journal 1 : e37. (https://dx.doi.org/10.24072/pci.evolbiol.100110)