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<OAI-PMH schemaLocation=http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd> <responseDate>2018-01-15T18:27:09Z</responseDate> <request identifier=oai:HAL:hal-01204218v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request> <GetRecord> <record> <header> <identifier>oai:HAL:hal-01204218v1</identifier> <datestamp>2018-01-11</datestamp> <setSpec>type:OTHER</setSpec> <setSpec>subject:sde</setSpec> <setSpec>subject:info</setSpec> <setSpec>subject:stat</setSpec> <setSpec>collection:CNRS</setSpec> <setSpec>collection:UNIV-AG</setSpec> <setSpec>collection:INRA</setSpec> <setSpec>collection:SDE</setSpec> <setSpec>collection:AGROPARISTECH</setSpec> <setSpec>collection:GIP-BE</setSpec> <setSpec>collection:CIRAD</setSpec> <setSpec>collection:ECOFOG</setSpec> <setSpec>collection:UNIV-LORRAINE</setSpec> <setSpec>collection:GUYANE</setSpec> </header> <metadata><dc> <publisher>HAL CCSD</publisher> <title lang=en>Young Scientist Contract (CJS)2010 - 2015Genomic divergence in wild tree populations: Methods and cases of study</title> <title lang=en>Young Scientist Contract (CJS)2010 - 2015Genomic divergence in wild tree populations: Methods and cases of study : Louise Brousseau's Scientific report</title> <creator>Brousseau, Louise</creator> <contributor>Ecologie des forêts de Guyane (ECOFOG) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD) - Institut National de la Recherche Agronomique (INRA) - Université des Antilles et de la Guyane (UAG) - AgroParisTech - Université de Guyane (UG) - Centre National de la Recherche Scientifique (CNRS)</contributor> <contributor>Ecologie et Ecophysiologie Forestières (EEF) ; Institut National de la Recherche Agronomique (INRA) - Université de Lorraine (UL)</contributor> <contributor>Unité de Recherches Forestières Méditerranéennes (URFM) ; Institut National de la Recherche Agronomique (INRA)</contributor> <contributor>Contrat Jeune Scientifique (CJS)</contributor> <description>il s'agit d'un type de produit dont les métadonnées ne correspondent pas aux métadonnées attendues dans les autres types de produit : ACTIVITY_REPORT</description> <identifier>hal-01204218</identifier> <identifier>https://hal.archives-ouvertes.fr/hal-01204218</identifier> <source>https://hal.archives-ouvertes.fr/hal-01204218</source> <source>il s'agit d'un type de produit dont les métadonnées ne correspondent pas aux métadonnées atte.. 2015</source> <identifier>PRODINRA : 286326</identifier> <language>en</language> <subject>[SDE.BE] Environmental Sciences/Biodiversity and Ecology</subject> <subject>[SDE.MCG] Environmental Sciences/Global Changes</subject> <subject>[INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]</subject> <subject>[STAT.ME] Statistics [stat]/Methodology [stat.ME]</subject> <type>info:eu-repo/semantics/other</type> <type>Other publications</type> <description lang=en>Understanding genomic evolution in wild populations is of particular importance because evolution is a central process in our understanding of populations’ history and their future response to global changes. In addition to fundamental knowledge, the study of populations’ evolution has wide applications such as conservation/restoration genetics or epidemiology. Indeed, genetic diversity is the ‘fuel’ for populations’ evolution and adaptation to new conditions, and estimating the extent and the geographic structure of genetic diversity, as well as identifying the evolutionary forces behind (demography, gene flow, and adaptation) are thus major challenges in the current context of global changes. [br/]A particular attention is currently devoted to the process of genetic divergence in wild populations, with emphases on gene flow, local adaptation, and their interactions. Indeed, adaptation in wild populations is supported in many species by many kinds of experiments based on both quantitative phenotypic traits and molecular data. However, the processes governing populations’ evolution are poorly understood in the tropical rainforest of Amazonia, and the relative influence of neutral and adaptive processes are continuously discussed. [br/]I am a young scientist interested in the process of genomic divergence in wild (tree) populations. I aimed at understanding how evolution structures the genetic diversity and governs molecular divergence in wild populations, with particular emphases on gene flow and local adaptation. During five years as a young scientist, I worked on answering the following questions, focusing on two tree species occupying vulnerable areas: mainly [i]Eperua falcata[/i] in Amazonia and, to a lesser extent, [i]Abies alba[/i] in the Mediterranean area.[br/][u]Scientific questions:[/u][br/]- Which evolutionary drivers are responsible of the structure of genetic diversity in wild populations occupying wide areas? This question was addressed at different geographical scales: from large (regional) to very local (microgeographic) scales. [br/]- What is the relative influence of neutral (gene flow, inbreeding) and adaptive drivers in the process of genetic divergence?[br/]- Is microgeographic adaptation possible in spite of extensive gene flow between populations occupying the extreme boundaries of an ecological gradient? [br/]- What is the extent of natural selection in the (whole) genome of wild populations? [br/][br/]My research work is at the interface between three promising disciplines: Evolutionary genomics (i.e. the study of populations evolution and the evolutionary drivers behind), Bioinformatics (i.e. the treatment of next-generation data), and Bayesian modelling (i.e. the empirical calibration of complex mechanistic model). I intend to take advantage of the recent advances in sequencing and informatic technologies to bring up to date the field of ecological genetics and evolutionary biology, by developing modern research strategies to study the process of genomic divergence in wild populations.</description> <date>2015</date> </dc> </metadata> </record> </GetRecord> </OAI-PMH>