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一种跨尺度方法,用于揭示温带和热带气候下植物物候的分子基础。

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

作者信息

Satake Akiko, Nagahama Ai, Sasaki Eriko

机构信息

Department of Biology, Faculty of Science, Kyushu University, Fukuoka, 819-0395, Japan.

出版信息

New Phytol. 2022 Mar;233(6):2340-2353. doi: 10.1111/nph.17897. Epub 2021 Dec 19.

Abstract

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.

摘要

植物已经进化到在适宜的季节进行叶生长、开花和结果,以实现生长、繁殖和休眠。由于它们适应了地理上不同的环境,温带和热带气候下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众多机会。将分子数据与长期物候和气候数据整合到预测模型中,将成为面对全球环境变化预测未来物候变化的有力工具。在这里,我们从三个方面综述从基因到植物群落的跨尺度方法:群落水平上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植物物候的最新知识,将有助于我们理解自然选择如何导致未来森林生态系统中物候性状基因调控机制的进一步进化。

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