Objectif In multicellular animals, complex phenotypic traits such as behaviour, lifespan and diseases are not only determined by genetic factors but also in large part by the environment. Understanding how genes and the environment interact to produce fundamental traits is a major question in biology. Many organisms are capable of expressing multiple phenotypes from a single genome when exposed to different environments. This widespread phenomenon is termed phenotypic plasticity (PP). The genetic programs needed to produce alternative phenotypes are encoded within a single genome, and environmental stimuli determine which form is expressed. PP is highly relevant in nature as it allows organisms to survive and reproduce successfully in variable environments. Nevertheless, the molecular and genetic mechanisms responsible for this flexibility are surprisingly poorly understood. Here, I will investigate the genetic basis of PP by applying advanced genomic and computational techniques to an ecological model of PP, the butterfly Bicyclus anynana. In particular, I will 1) identify the genetic programs that produce alternative phenotypes from a single genome; and 2) assess the potential for evolutionary change in PP by characterising genetic variation in these programs. I will do this by applying RNA-Seq and gene co-expression networks to an ecologically well-characterised insect and developing and integrating methods and concepts across disciplines. Combining my significant expertise on the model system with the host laboratory’s outstanding track record in evolutionary genomics and bioinformatics, this project offers a unique opportunity for obtaining an unprecedented and long-desired insight into the genetic mechanisms of PP. This fellowship will train me in precisely the technical and analytical techniques that are critical for scientific progress in decades to come, and for my career development as a scientist within the European Research Area. Champ scientifique natural sciencesbiological sciencesgeneticsDNAnatural sciencesbiological sciencesecologyecosystemsnatural sciencesmathematicspure mathematicsmathematical analysisfunctional analysisnatural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changesnatural sciencesbiological sciencesgeneticsgenomes Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Thème(s) MSCA-IF-2014-EF - Marie Skłodowska-Curie Individual Fellowships (IF-EF) Appel à propositions H2020-MSCA-IF-2014 Voir d’autres projets de cet appel Régime de financement MSCA-IF-EF-ST - Standard EF Coordinateur UNIVERSITY COLLEGE LONDON Contribution nette de l'UE € 183 454,80 Adresse GOWER STREET WC1E 6BT London Royaume-Uni Voir sur la carte Région London Inner London — West Camden and City of London Type d’activité Higher or Secondary Education Establishments Liens Contacter l’organisation Opens in new window Site web Opens in new window Participation aux programmes de R&I de l'UE Opens in new window Réseau de collaboration HORIZON Opens in new window Coût total € 183 454,80