Landscape genomics Physalia courses , November 6-10, 2017, Berlin

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Transcription de la présentation:

Landscape genomics Physalia courses , November 6-10, 2017, Berlin Background and research activities GIScience contribution to molecular ecology Dr Stéphane Joost – Oliver Selmoni (Msc) Laboratory of Geographic Information Systems (LASIG) Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland ESF CONGENOMICS RNP Spring School - March 2014 – Stéphane Joost, Kevin Leempoel, Sylvie Stucki

GIS Lab @ EPFL School of architecture, civil and environmental engineering (ENAC) Institute of Environmental engineering (IIE) Laboratory of Geographic Information Systems (LASIG) Research group Landscape genetics and spatial epidemiology Analysis of the relationship between living organisms and their environment. Use of GIS and spatial statistics for the analysis and management of health data and genetic resources

Who we are Stéphane Joost Oliver Selmoni Geology, geography and computer science at University of Lausanne (Switzerland) University of Geneva, MicroGIS Inc., EPFL (PhD), UCSC Piacenza (Italy) Oliver Selmoni MSc in Biology, University of Lausanne, Switzerland PhD student at EPFL, seascape genomics I STARTED FROM THE OBSERVATION THAT IN ITS NATURAL FRAMEWORK… AND PLANTS AND ANIMALS … THUS SPATIAL INFORMATION IS IMPORTANT TO TAKE INTO ACCOUNT WHEN TRYING TO UNDERSTAND GENETIC RESOURCES. I’LL DEVELOP THIS PERSPECTIVE FROM A GISCIENCE POINT OF VIEW THROUGH THE ANALYSIS OF CASE STUDIES APPLIED TO CONSERVATION BIOLOGY

Genetic information is GEO In its natural framework, genetic information is embedded within a geographic context Plants, animals, humans are directly influenced by the characteristics of their surrounding environment thus the spatial dimension of genetic information has to be considered when trying to understand genetic resources We address this perspective from a GIScience angle I STARTED FROM THE OBSERVATION THAT IN ITS NATURAL FRAMEWORK… AND PLANTS AND ANIMALS … THUS SPATIAL INFORMATION IS IMPORTANT TO TAKE INTO ACCOUNT WHEN TRYING TO UNDERSTAND GENETIC RESOURCES. I’LL DEVELOP THIS PERSPECTIVE FROM A GISCIENCE POINT OF VIEW THROUGH THE ANALYSIS OF CASE STUDIES APPLIED TO CONSERVATION BIOLOGY

Biology or geography ? Avant de commencer mes études à l’université, j’ai longuement hésité entre biologie et géographie J’ai finalement opté pour la géographie… … tout en continuant à suivre de près les progrès de la recherche en biologie

GIS and biology at EPFL 2001, FP5 ECONOGENE project Conservation of small ruminant genetic resources in Europe Et en 2001 s’est présentée à moi une opportunité unique de faire de la recherche dans les deux domaines simultanément Régis Caloz au LASIG cherchait un doctorant pour travailler dans le cadre d’un projet européen sur la conservation des ressources génétiques de chèvres et de moutons

Interdisciplinary project Interdisciplinary approach with biologists, veterinarians, economists, GIScientists, sociologists Brought together by Régis Caloz, Godfrey Hewitt and Pierre Taberlet, Mike Bruford Project chaired by Paolo Ajmone-Marsan Alessio Valentini Two roles for GIS… ECONOGENE était un projet interdisciplinaire imaginé à l’origine par Godfrey Hewitt (un biologiste anglais), Pierre Taberlet (un biologiste français) et Régis Caloz (un physicien anniviard) et dirigé par Paolo Ajmone Marsan (un biologiste italien), devenu ensuite mon co-directeur de thèse Dans ce projet qui réunissait des biologistes, des vétérinaires, des économistes, des géomaticiens et des sociologues… … ils avaient prévu un double rôle pour les SIG

1. Data integration Integration of different types of information produced by a variety of disciplines Multicriteria decision- making support for the definition of con- servation priorities between endangered breeds Le premier était un rôle d’intégration de l’information multidisciplinaire sur le territoire… … qui devait permettre de développer des outils d’aide à la décision multicritère de façon à pouvoir définir des priorités de conservation entre races en voie de disparition

2. Spatial analysis of genetic data Test and assess the potential contribution of spatial analysis to extract information and new knowledge in molecular ecology Support basic research on natural selection and adaptation processes, and on evolution in general Le second rôle des SIG était plus exploratoire. Il s’agissait de tester et d’évaluer les apports des statistiques spatiales pour analyser les données moléculaires collectées Cette recherche-là concerne des processus fondamentaux de l’évolution comme la sélection naturelle et l’adaptation

Main current projects EU H2020 IMAGE: Innovative Management of Animal Genetic Resources (improve genomic methodologies, biotechnologies, and bioinformatics) SNSF GENESCALE: at which scale does natural selection operate? multiscale landscape genomic (Arabis alpina) EU FP7 NEXTGEN: adaptation in sheep, goats, cattle, whole genome data, Iran, Morocco, Uganda ADCORE: seascape genomics URBANGENE: multispecies investigation of the impact of the urbanization process on genetic diversity in the Geneva cross-border area

Original contribution of GIScience URBANGENE (http://urbangene.epfl.ch)

Effects of urbanization on genetic diversity

But where are the ponds ? ? ? ? ? ? ? ? ? ? ? ?

Urbangene.heig-vd.ch

Add a pond…