A cross-scale approach to unravel the molecular basis of plant phenology in temperate and tropical climates

A cross-scale approach to unravel the molecular basis of plant phenology in temperate and tropical climates
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揭示温带和热带气候植物物候学分子基础的跨尺度方法

DOI:
10.1111/nph.17897
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发表时间:
2022
期刊:
影响因子:
9.4
通讯作者:
Eriko Sasaki
Eriko Sasaki
中科院分区:
生物学1区
文献类型:
--
作者:
Akiko Satake;Ai Nagahama;Eriko Sasaki

文献摘要

相似文献

植物已经进化到在适当的季节发叶、开花和结果,以利于生长、繁殖和休息。由于它们对不同地理环境的适应,温带和热带气候的植物物候具有丰富的多样性。遗传和分子研究的最新进展将为研究物候性状的遗传基础以及物候性状对季节性和非季节性环境的适应历史提供大量机会。将分子数据与长期物候和气候数据整合到预测模型中将成为预测面对全球环境变化的未来物候变化的有力工具。在这里,我们从三个方面回顾了从基因到植物群落的跨尺度方法:群落水平植物物候的纬度梯度、植物物候多样性背后的环境和遗传因素以及基于遗传知识预测未来植物物候的综合方法。从分子、生态和数学角度综合有关植物物候学的最新知识,将有助于我们理解自然选择如何导致未来森林生态系统物候性状基因调控机制的进一步进化。
Plants have evolved to time their leafing, flowering and fruiting in appropriate seasons for growth, reproduction and resting. As a consequence of their adaptation to geographically different environments, there is a rich diversity in plant phenology from temperate and tropical climates. Recent progress in genetic and molecular studies will provide numerous opportunities to study the genetic basis of phenological traits and the history of adaptation of phenological traits to seasonal and aseasonal environments. Integrating molecular data with long‐term phenology and climate data into predictive models will be a powerful tool to forecast future phenological changes in the face of global environmental change. Here, we review the cross‐scale approach from genes to plant communities from three aspects: the latitudinal gradient of plant phenology at the community level, the environmental and genetic factors underlying the diversity of plant phenology, and an integrated approach to forecast future plant phenology based on genetically informed knowledge. Synthesizing the latest knowledge about plant phenology from molecular, ecological and mathematical perspectives will help us understand how natural selection can lead to the further evolution of the gene regulatory mechanisms in phenological traits in future forest ecosystems.