Description du sujet de thèse

Dinoflagellates are a diverse and ecologically important group of algae, comprising free photosynthetic producers, coral symbionts, mixotrophs, predators and parasites. Dinoflagellates are also distinguished by their bizarre and idiosyncratic chloroplasts, with genomes and metabolic pathways very different from those identified in plants. Understanding how dinoflagellate chloroplasts function is crucial to determining their fragility and resilience against climate disruption in marine ecosystems, but this understanding has been limited by a lack of model species for this lineage.

Recently, the host team has developed experimental and computational strategies to understand the chloroplastic proteome of dinoflagellates. These are based on the transformable Amphidinium species, making it possible to directly manipulate its chloroplastic genome, as well as identifying the N-terminal presequences associated with nucleus-encoded proteins destined for the chloroplast. This thesis project is based on the use of these two complementary systems to identify the main components of dinoflagellate chloroplasts, as well as the use of comparative physiology techniques and metagenomic datasets (from Tara Oceans...) to understand how these proteomes adapt, or not, to ocean warming.

Contexte de travail

CQSB - UMR 7238 CNRS- Sorbonne University

The CQSB is an interdisciplinary laboratory working at the interface between biology and quantitative sciences. It is built to promote a balanced interaction of theoretical and experimental approaches in biology, and to foster the definition of new experimental questions, data analysis and modeling of biological phenomena. Our projects address questions about biological structures and processes through the collection of experimental measurements, the in silico generation of new biological data that today remain inaccessible to experiments (modeling of biological systems), the development of statistical methods for data analysis, and the design of original algorithms for prediction. The laboratory is supported by the CNRS and Sorbonne University.

The LCQB is one of the laboratories of the Institut de Biologie Paris-Seine (IBPS).

Location (Management/Department) :
UMR 7238 CNRS - Sorbonne Université Campus Jussieu
Bât. C - 4th floor
4, place Jussieu
75005 Paris, France

This thesis will be co-supervised by Richard Dorrell (eq. HEAL, CQSB) and Thomas Lacour (IFREMER, Nantes). During the course of this internship, two residential exchanges of a minimum total duration of six months are planned at IFREMER. In addition, the PhD student will belong to a European collaborative network that includes teams in the UK (Ellen Nisbet) and the Czech Republic (Ansgar Gruber) and will be expected to exchange with these groups via monthly meetings.

Le poste se situe dans un secteur relevant de la protection du potentiel scientifique et technique (PPST), et nécessite donc, conformément à la réglementation, que votre arrivée soit autorisée par l'autorité compétente du MESR.