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Reference : UMR5553-STEREY1-001
Workplace : GRENOBLE
Date of publication : Wednesday, July 21, 2021
Type of Contract : FTC Scientist
Contract Period : 36 months
Expected date of employment : 1 November 2021
Proportion of work : Full time
Remuneration : between €2,648 and €3,768 gross per month depending on experience
Desired level of education : PhD
Experience required : 1 to 4 years
The work will be carried out within the framework of the ALPALGA project funded by the ANR, and will focus on the spatiotemporal dynamics of terrestrial Microalgae biodiversity based on the characterization of environmental DNA from alpine environments.
The ALPALGA consortium studies Microalgae from different mountain habitats, including algae growing in the snow, in order to characterize their responses to environmental conditions at high altitudes. Algae are indeed at the base of the food networks in ecosystems, and are however largely unknown in certain terrestrial environments. However, this knowledge is essential to understand the current upheavals that mountain ecosystems are undergoing, in the context of climate change, marked by the shortening of the winter seasons, the lowering of lake levels, and the irreversible retreat of glaciers.
A first survey of the taxonomic diversity of Green Algae (Chlorophyta) along altitudinal gradients has already been done using eDNA based methods (https://doi.org/10.3389/fpls.2021.679428). Based on these results as a starting point, the post-doctoral researcher will follow a DNA metabarcoding approach aiming at (i) describing the distribution of Chlorophyta taxa distribution across sampling sites at different spatial scales (within a watershed and along altitudinal transects); (ii) evaluating the spatiotemporal dynamics of Microalgae in mountain habitats (e.g., comparison between identical habitat types from distant locations, seasonal variations in soil and snow cover) in relation with the co-occurrence of e.g. bacteria and/or fungi taxa. This would open up the perspective of functional hypotheses on the role of Microalgae in networks of biotic interactions within Alpine communities. Setting-up the DNA metabarcoding approach will require the validation of new DNA barcodes complementary to those already used.
The post-doctoral researcher will be involved in the collection of field samples and the production of metabarcoding data (DNA extractions and PCR amplifications). She/he will have in charge the management and analysis of the NGS raw data based on pipelines relying on the OBITools software package, and the data analysis and interpretation from an ecological perspective until their valorisation through publication.
PhD in the field of DNA metabarcoding / soil DNA and ecology. Core competence in the production and analysis of eDNA data (molecular biology, bioinformatics -Unix- and biostatistics-R-). Additional skills in community or microbial ecology will be much appreciated. Autonomy and interpersonal skills (ability to work in groups).
The candidate will work at the Alpine Ecology Laboratory (LECA, https://leca.osug.fr/), located on the campus of Univ. Grenoble Alpes. LECA is an internationally leading laboratory in the field of Biodiversity and Ecology. It is a joint Research Unit of the CNRS, the Grenoble Alpes University (UGA) and the Savoie Mont Blanc University (USMB), member of the Observatoire des Sciences de l'Univers de Grenoble (OSUG). LECA's research aims to understand the mechanisms driving the origin of biodiversity, the spatio-temporal dynamics of biodiversity and the associated functions, and predicting their response to a variety of drivers (climate change, pollution, land use change, invasive species, …), with a special focus on alpine ecosystems.
The post-doc will work under the co-supervision of Dr. Eric Coissac and François Pompanon. For the production of molecular data she/he will rely on the French National eDNA facility led by LECA. She/he will interact with the bioinformatic staff of the lab, and will have access to the computing facilities available at UGA.
Constraints and risks
The activity will include a part dedicated to field sampling in the mountains, but in easily accessible areas.
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