cultures d'arabidopsis

Exploratory project PEERSIM (2021 - 2023)

Predicting plant response to combined stresses (CO2 and Heat)

Plants are constantly threatened by biotic and abiotic stresses, especially in the current context of climate change. The complexity of the stress response involves different levels of biological organisation, from genomes to metabolites.

Background and challenges

The study of multiple stresses shows that the impact of combined stresses is different from the sum of the impacts of individual stresses. How then can the impact of combined stresses be predicted by knowing only the impact of single stresses?

This conclusion is based on studies comparing lists of differential genes/metabolites subjected to individual stresses with the same lists subjected to combined stresses. However, these analyses are based on too few biological replicates (typically 3 in RNA-seq), which are insufficient to produce a robust and meaningful analysis, and only identify about 20% of the genes that are differentially expressed under the two stress conditions. This may partly explain the discrepancies observed between single and multiple stress conditions.

Goals

The Peersim project proposes to effectively re-evaluate the prediction of combined stresses from individual stresses, by conducting an experiment combining 2 stresses: CO2 and heat, with numerous replicates (~20).

Beyond the biological relevance of this dataset in the context of climate change, the project will allow progress on three essential points for the study of plant response to combined stresses:

PEERSIM replication model
  1. The Peersim project proposes to effectively re-evaluate the prediction of combined stresses from individual stresses, by conducting an experiment combining 2 stresses: CO2 and heat, with numerous replicates (~20).Beyond the biological relevance of this dataset in the context of climate change, the project will allow progress on three essential points for the study of plant response to combined stresses:
  2. Develop and propose meaningful experimental designs.
  3. Develop and evaluate recent analysis and integration methodologies.

 

Contacts :

Guillem RIGAILL, UMR IPS2

Etienne DELANNOY, UMR IPS2

Units involved and partners

INRAE participants

Plant Biology and Breeding division

Expertise

IPS2 - Institut des Sciences des Plantes - Paris-Saclay

Bioinformatics, Biostatistics, Segmentation, Chloroplast biology, Transcriptomics, Metabolism and plant adaptation to climate change

Mathematics and digital technologies division

UMR MIA Paris Saclay

Statistics and gene network inference

MIAT

Data integration, network analysis

Modification date : 18 September 2023 | Publication date : 23 February 2022 | Redactor : Com