Reconstructing the evolutionary history of the desert locust, Schistocerca gregaria by means of ABC random forest

une conférence invitée, Marie-Pierre CHAPUIS de l'UMR CBGP, présentera ses travaux intitulés"Reconstituer l'histoire évolutive du criquet pèlerin, Schistocerca gregaria, au moyen de l'ABC random forest". Cette présentation aura lieu le jeudi 8 mars 2018 à 10h en salle 1 au Pole de Protection des Plantes, au Cirad à Saint Pierre.

Résumé :

Dating a population divergence within a species and relating such dating to climatic and biogeographic changes in the species history is not trivial. Yet it can help formulating evolutionary hypotheses regarding local adaptation and future responses to changing environments. Key issues include statistical selection of the historical model and estimation of the demographic parameters of interest under the chosen model. Such treatments can greatly benefit from (1) the new approach named Approximate Bayesian Computation- random forest (ABC-RF) that provides reliable statistics at a low computational cost and without having to choose among a large set of statistics summarizing genetic information; and (2) independent information on evolutionary rate and pattern of microsatellite markers from direct observation of germline mutations.Here, we combined both statistical and empirical improvements to unravel the evolutionary history of the African arid-adapted pest species, Schistocerca gregaria.

Publiée : 06/03/2018