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Feeling Every Bit of Winter - Distributed Temperature Sensitivity in Vernalization

期刊

FRONTIERS IN PLANT SCIENCE
卷 12, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fpls.2021.628726

关键词

vernalization; temperature-sensing; mathematical modeling; FLC; Arabidopsis; climate change; temperature fluctuations

资金

  1. European Research Council grant MEXTIM
  2. BBSRC Institute Strategic Program GRO [BB/J004588/1]
  3. BBSRC Institute Strategic Program GEN [BB/P013511/1]

向作者/读者索取更多资源

Temperature plays a crucial role in influencing biochemical and biophysical processes in organisms, which have evolved strategies to buffer against thermal perturbations. Organisms also use temperature signals as cues to align behavior and development with specific seasons. Plant thermosensory responses, particularly in Arabidopsis, involve sensing temperature throughout vernalization, with a focus on multiple timescales of sensing and the proposal of a distributed thermosensing paradigm. Within this paradigm, a classification system for thermosensors is suggested, along with an examination of mechanisms for achieving memory of cold exposure, especially in sensing winter.
Temperature intrinsically influences all aspects of biochemical and biophysical processes. Organisms have therefore evolved strategies to buffer themselves against thermal perturbations. Many organisms also use temperature signals as cues to align behavior and development with certain seasons. These developmentally important thermosensory mechanisms have generally been studied in constant temperature conditions. However, environmental temperature is an inherently noisy signal, and it has been unclear how organisms reliably extract specific temperature cues from fluctuating temperature profiles. In this context, we discuss plant thermosensory responses, focusing on temperature sensing throughout vernalization in Arabidopsis. We highlight many different timescales of sensing, which has led to the proposal of a distributed thermosensing paradigm. Within this paradigm, we suggest a classification system for thermosensors. Finally, we focus on the longest timescale, which is most important for sensing winter, and examine the different mechanisms in which memory of cold exposure can be achieved.

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