Objectif DEEPTREES will unite disciplines across life sciences, to use DNA barcoding to put error bars on the fossil record. A major challenge remains to unlock the data from past mass extinction events in earth’s history to help prepare us for the future. This is only possible by combining the cutting edge work of the University of California Museum of Paleontology and Centre for Computational Biology with the unique approach of integrating fossil and living deep-sea biodiversity in Sigwart’s established research programme. The hosts will provide intensive training for Sigwart in computation modelling to investigate evolutionary dynamics during and after the ancient mass extinction events that are the only basis for understanding our current global biodiversity crisis.The patchy nature of the fossil record in space and time means that our knowledge of past extinction dynamics is estimated, usually from counting the first and last appearance of species-groups. It has been impossible to know how much diversity is contained within each group, or how comparable they are, until now. DEEPTREES will focus on marine invertebrates that have persisted through past mass extinction events: the survivors, found in large density in natural deep sea communities on organic substrata, using samples already secured for this project. Morphological and genetic features that separate living species will be quantified to develop a Bayesian framework to determine how many species cannot be counted because their defining features were not preserved. A novel modelling approach developed by Sigwart with input from Berkeley colleagues will integrate all these new data to calculate the hidden diversity in past extinction rates, bridging the gap between fossil and living species. DEEPTREE‘s new tools for quantifying diversity will revolutionise biodiversity assessments, with special relevance for the Marine Strategy Framework Directive, and may change the way we think about extinction forever. Champ scientifique medical and health sciencesmedical biotechnologygenetic engineering 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-GF - Marie Skłodowska-Curie Individual Fellowships (IF-GF) Appel à propositions H2020-MSCA-IF-2014 Voir d’autres projets de cet appel Régime de financement MSCA-IF-GF - Global Fellowships Coordinateur THE QUEEN'S UNIVERSITY OF BELFAST Contribution nette de l'UE € 251 857,80 Adresse UNIVERSITY ROAD LANYON BUILDING BT7 1NN Belfast Royaume-Uni Voir sur la carte Région Northern Ireland Northern Ireland Belfast 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 € 251 857,80 Partenaires (1) Trier par ordre alphabétique Trier par contribution nette de l'UE Tout développer Tout réduire Partenaire Les organisations partenaires contribuent à la mise en œuvre de l’action, mais ne signent pas la convention de subvention. University of California - Berkeley. Department of Integrative Biology États-Unis Contribution nette de l'UE € 0,00 Adresse Voir sur la carte Type d’activité Private for-profit entities (excluding Higher or Secondary Education Establishments) Liens Contacter l’organisation 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 € 160 130,40