In vivo single-molecule analysis reveals COOLAIR RNA structural diversity

Journal article

Altres ajuts: CERCA Programme/Generalitat de CatalunyaClimate change is causing alterations in annual temperature regimes worldwide. Important aspects of this include the reduction of winter chilling temperatures as well as the occurrence of unpredicted frosts, both significantly affecting plant growth and yields. Recent studies advanced the knowledge of the mechanisms underlying cold responses and tolerance in the model plant Arabidopsis thaliana. However, how these cold-responsive pathways will readjust to ongoing seasonal temperature variation caused by global warming remains an open question. In this review, we highlight the plant developmental programmes that depend on cold temperature. We focus on the molecular mechanisms that plants have evolved to adjust their development and stress responses upon exposure to cold. Covering both genetic and epigenetic aspects, we present the latest insights into how alternative splicing, noncoding RNAs and the formation of biomolecular condensates play key roles in the regulation of cold responses. We conclude by commenting on attractive targets to accelerate the breeding of increased cold tolerance, bringing up biotechnological tools that might assist in overcoming current limitations. Our aim is to guide the reflection on the current agricultural challenges imposed by a changing climate and to provide useful information for improving plant resilience to unpredictable cold regimes

Authors: Yang, M; Zhu, P; Cheema, J; Bloomer, R; Mikulski, P

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Nature Research
• Journal: Nature
• Volume: 609
• Issue: 7926
• Pages: 394-399
• Publication date: 2022-08-17
• DOI: 10.1038/s41586-022-05135-9
• EISSN: 1476-4687
• ISSN: 0028-0836
• Language: English
• Keywords: Transcription (linguistics); Cell biology; Gene; Gene expression; Biology; Nucleic acid structure; Polyadenylation; Gene isoform; Computational biology; Population; RNA; Repressor; Genetics