The FunRNA team aims to decipher the functions of long non-coding RNAs in plants and understand their contribution to adaptation mechanisms. The team combines computational approaches and experimental analyses to develop predictive models capable of inferring their function from their molecular and evolutionary characteristics. By studying their involvement in the response to the environment and the preservation of their functions during evolution, FunRNA seeks to identify the general principles underlying plant acclimatization and resilience. Ultimately, we hope to discover new ways to limit the impact of climate change on plants.
Using the molecular characteristics of lncRNAs’ mode of action in the control of transcription through chromatin remodeling 2,4 or splicing 3,5 we were already able to uncover lncRNAs acting similarly. We now want to extend this approach to cluster lncRNAs with common modes of action and build a predictive model integrating specific molecular and sequence features.