DE NAVASCUES M

miguel.navascues@inrae.fr

+33 4 99 62 33 31

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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.

de Navascués M., Burgarella C. & Jakobsson M. 2025. Analysis of the abundance of radiocarbon samples as count data. Peer Community Journal 5 : e20. (https://dx.doi.org/10.24072/pcjournal.522)

Högberg A., Brink K., Brorsson T., Malmström H., Rudebeck E. & de Navascués M. 2025. Variation in the number of radiocarbon (14C) dates does not equal change in Neolithic population size over time. Journal of Archaeological Science: Reports 67 : 105436. (https://dx.doi.org/10.1016/j.jasrep.2025.105436)

Romieu* J., Camarata G., Crochet P.-A., de Navascués M., Leblois R. & Rousset F. 2025. Performance evaluation of adaptive introgression classification methods. Peer Community Journal 5 : e95. (https://dx.doi.org/10.24072/pcjournal.617)

Salson M., Duranton M., Huynh S., Mariac C., Tranchant-Dubreuil C., Orjuela J., Cubry P., Thuillet A.C., Burgarella C., de Navascués M., Zekraoui L., Couderc M., Arribat S., Rodde N., Barnaud A., Faye A., Kane N., Vigouroux Y. & Berthouly-Salazar C. 2025. Interplay between large low-recombining regions and pseudo-overdominance in a plant genome. Nature Communications 16 : 6458. (https://dx.doi.org/10.1038/s41467-025-61529-z)

Uhl* M., Bunel* P., de Navascués M., Boitard S. & Servin B. 2025. SelNeTime: a python package inferring effective population size and selection intensity from genomic time series data. PCI Mathematical and Computational Biology na : na. (https://dx.doi.org/10.1101/2024.11.06.622284)

Burgarella C., Brémaud M.-F., Von Hirschheydt G., Viader V., Ardisson M., Santoni S., Ranwez V., de Navascués M., David J. & Glémin S. 2024. Mating systems and recombination landscape strongly shape genetic diversity and selection in wheat relatives. Evolution Letters 8 : 866–880. (https://dx.doi.org/10.1093/evlett/qrae039)

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 : e37. (https://dx.doi.org/10.24072/pcjournal.47)