Growth arrest is a DNA damage protection strategy in plants
Serrano-Mislata, A.; Hernandez-Garcia, J.; de Ollas, C.; Blanco-Tourinan, N.; Gomez-Cadenas, A.; Sablowski, R.; Alabadi, D.; Blazquez, M. A.
Show abstract
When exposed to stress, plants slow down their growth while activating defensive mechanisms. This behaviour has been proposed to help plants reallocate resources and meet the energy demands required for survival. In this study, we show instead that plants can grow under limited water availability without compromising their tolerance to the stress. However, cells that continue to divide under stress accumulate DNA damage, which frequently leads to cell death. Given that the DNA lesions are observed in the apical stem cells that give rise to all plant organs, including flowers, we propose that systemic growth arrest is used as a defense strategy that plants employ not only to maximize individual fitness, but also to ensure the accurate transmission of genetic information to their progeny.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- CRWN nuclear lamina components maintain the H3K27me3 landscape and promote successful reproduction in Arabidopsis 95%
- Ectomycorrhizal fungi induce systemic resistance against insects on a non-mycorrhizal plant in a CERK1-dependent manner 94%
- Future heatwave conditions inhibit CO2-induced stomatal closure in wheat 94%
Similar papers in this journal
- S1 basic leucine zipper transcription factors shape plant architecture by controlling C/N partitioning to apical and lateral organs 98%
- An AINTEGUMENTA phospho-switch controls bilateral stem cell activity during secondary growth 97%
- PIEZO ion channel is required for root mechanotransduction in Arabidopsis thaliana 96%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.