Antoniou-Kourounioti Rea L, Zhao Yusheng, Dean Caroline, Howard Martin
Computational and Systems Biology, John Innes Centre, Norwich Research Park, Norwich, United Kingdom.
Cell and Developmental Biology, John Innes Centre, Norwich Research Park, Norwich, United Kingdom.
Front Plant Sci. 2021 Jan 27;12:628726. doi: 10.3389/fpls.2021.628726. eCollection 2021.
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.
温度本质上会影响生物化学和生物物理过程的各个方面。因此,生物体进化出了一些策略来缓冲自身免受热扰动的影响。许多生物体还利用温度信号作为线索,使行为和发育与特定季节保持一致。这些对发育至关重要的温度感应机制通常是在恒温条件下进行研究的。然而,环境温度是一种固有的嘈杂信号,目前尚不清楚生物体如何从波动的温度曲线中可靠地提取特定的温度线索。在此背景下,我们讨论植物的温度感应反应,重点关注拟南芥春化过程中的温度感知。我们强调了许多不同的感知时间尺度,这导致了分布式温度感知范式的提出。在这个范式中,我们提出了一个温度传感器的分类系统。最后,我们关注对感知冬季最为重要的最长时间尺度,并研究实现冷暴露记忆的不同机制。