Title: Snow algae genomics: from genomes to cells and populations
Abstract
Snow is populated by unicellular organisms of which very few species have been described, and no genome characterized. Above the tree line, the pioneer forms are photosynthetic microalgae, some of which can become dominant, accumulating carotenoids and coloring the snow red. As part of the
Alpalga program collections carried out by the laboratories proposing this project, in the Zone Atelier Alpes carried out from 2017 to 2022, made it possible to isolate different species: 4 genomes of culturable algae have been sequenced, 1 non-culturable algal genome is being sequenced from metagenomic data and 1 unicellular snow fungus is also being sequenced. The thesis project therefore aims for the first genomic characterization of eukaryotic microorganisms populating the snow, at the molecular, cellular (functional genomics), and population levels in order to decipher the genomic and eco-physiological mechanisms allowing 'living in the snow'.
The project will be based on the student's significant expertise in bioinformatics/genome analysis (annotation, genome comparison, metagenomics), requiring access to original genomic data that is largely already available. The project therefore combines a low-risk, or even no-risk, part of annotation and comparative genomics. For the second part, the risk will be controlled by focusing on a reasonable number of species, characteristic of the environments explored.
Direction / Supervision
Eric Marechal
Eric Coissac