Plant-microbiome interactions and their impacts on plant adaptation to climate change.

IF 9.3 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Qing Zeng, Hang-Wei Hu, An-Hui Ge, Chao Xiong, Chang-Chun Zhai, Gui-Lan Duan, Li-Li Han, Si-Yun Huang, Li-Mei Zhang
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引用次数: 0

Abstract

Plants have co-evolved with a wide range of microbial communities over hundreds of millions of years, this has drastically influenced their adaptation to biotic and abiotic stress. The rapid development of multi-omics approaches has greatly improved our understanding of the diversity, composition, and functions of plant microbiomes, but how global climate change affects the assembly of plant microbiomes and their roles in regulating host plant adaptation to changing environmental conditions is not fully known. In this review, we summarize recent advancements in the community assembly of plant microbiomes, and their responses to climate change factors such as elevated CO2 levels, warming, and drought. We further delineate the research trends and hotspots in plant-microbiome interactions in the context of climate change, and summarize the key mechanisms by which plant microbiomes influence plant adaptation to the changing climate. We propose that future research is urgently needed to unravel the impact of key plant genes and signal molecules modulated by climate change on microbial communities, to elucidate the evolutionary response of plant-microbe interactions at the community level, and to engineer synthetic microbial communities to mitigate the effects of climate change on plant fitness.

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来源期刊
Journal of Integrative Plant Biology
Journal of Integrative Plant Biology 生物-生化与分子生物学
CiteScore
18.00
自引率
5.30%
发文量
220
审稿时长
3 months
期刊介绍: Journal of Integrative Plant Biology is a leading academic journal reporting on the latest discoveries in plant biology.Enjoy the latest news and developments in the field, understand new and improved methods and research tools, and explore basic biological questions through reproducible experimental design, using genetic, biochemical, cell and molecular biological methods, and statistical analyses.
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