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Reference : UMR8197-NATBOI-029
Workplace : PARIS 05
Date of publication : Friday, November 22, 2019
Type of Contract : FTC Scientist
Contract Period : 12 months
Expected date of employment : 1 February 2020
Proportion of work : Full time
Remuneration : Between 2695 and 3840 euros gross salary based on experience
Desired level of education : PhD
Experience required : 1 to 4 years
To study how diatoms can respond to climate change, it is necessary to explore the fundamental relationship between their genomes (the best source of information about their evolutionary history), population dynamics and their response to environmental fluctuations. The Tara Oceans extensive resources offer unprecedented opportunities to address these fundamental concepts because they constitute the first coherent and highly contextualized data set of planktonic communities with global coverage. Tara Oceans data provide additional opportunities to link genotypic information to phenotypic information by using large image databases that contain a wealth of morphological information.
To reveal diatom adaptation mechanisms, work will focus on the genus Chaetoceros. Initially, the newly available genomes, epigenomes and reference transcriptomes will be characterized by functional and comparative genomics. They will then be used to query Tara Oceans data sets to explore global diversity and abundance, as well as the sensitivity of different genotypes and their gene expression profiles to environmental conditions. This will make it possible to evaluate natural selection by identifying genes with strong positive selection trends. The postdoc will then calculate the Fixation Index (Fst) coupled with Lagrangian distances to derive metrics on population exchange between discrete locations in the global ocean. To do this, the postdoc will use a multilocus approach with identified markers by comparing genomes, epigenomes and expression variations of Chaetoceros. In the absence of strong markers, the postdoc will look for signatures of variations that are not based on specific genes. To do this, he/she will use a detection without reference, for example DiscoSnp++++. The high-resolution confocal microscopy image data set based on images from samples taken from all Tara Oceans sampling stations will provide an additional resource to assess the heterogeneity of the diatomaceous population. Measurements of genetic and phenotypic differences between populations will provide measures of biological connectivity achieved within the diatom metapopulation, and by comparing it to physical connectivity by ocean currents, the post-doc will provide an overview of the actual isolation of populations.
The candidate must
- have expertise in genomics
- master bioinformatics, including genetics and/or population genomics
- have experience in big data analysis
- experience in the study of algae would also be useful, but is not required
- be rigorous and organized in order to carry out several activities in parallel
- be able to work collegially and be flexible and caring to share knowledge and, conversely, integrate the advice of other team members
- Fluent English (writing and speaking)
The Plant & Diatom Genomics team led by Chris Bowler offers a friendly working environment (ibens.ens.fr). It includes 3 thesis students, 9 post-doctoral fellows, 2 teacher-researchers and 2 CNRS Research Directors. The team's work focuses on the mechanisms by which the environment can influence the structure and dynamics of genomes as an adaptive mechanism during the life and evolution of photosynthetic species. This theme mainly uses two photosynthetic organisms as study systems: the model plant Arabidopsis thaliana as well as phytoplankton model species, the marine diatoms Phaeodactylum tricornutum and Fragiliaropsis cylindrus. The current project is funded by the European Research Council.
The Institut de Biologie de l'École normale supérieure (IBENS) is a multidisciplinary research centre with an international vocation located in the Latin Quarter in the centre of Paris, close to many means of transport (RER, metro, bus). This mixed CNRS/Inserm/ENS unit has about 320 staff, divided into 29 research teams and supports the employment of minorities.
The post-doctoral scientist will he initially hired for 12 months, that can be extended up to four years. The names and email addresses of at least two former/current supervisors should be provided.
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