Implications of bacteria‒bacteria interactions within the plant microbiota for plant health and productivity

Giovanni Davide BARONE; Yaqi ZHOU; Hongkai WANG; Sunde XU; Zhonghua MA; Tomislav CERNAVA; Yun CHEN

doi:10.1631/jzus.B2300914

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Review | Updated：2024-12-27

Implications of bacteria‒bacteria interactions within the plant microbiota for plant health and productivity
Implications of bacteria‒bacteria interactions within the plant microbiota for plant health and productivity
植物微生物群落中细菌-细菌互作对植物健康和生产力的影响
Journal of Zhejiang University-SCIENCE B (Biomedicine & Biotechnology) Vol. 25, Issue 12, Pages: 1039-1054(2024)
Affiliations：

1.State Key Laboratory of Rice Biology and Breeding; Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects; Zhejiang Provincial Key Laboratory of Biology of Crop Pathogens and Insects; Institute of Biotechnology, Zhejiang University, Hangzhou310058, China
2.Institute of Biology, University of Graz, 8010 Graz, Austria
3.School of Biological Sciences, Faculty of Environmental and Life Sciences, University of Southampton, SO17 1BJSouthampton, UK
Funds：
DOI：10.1631/jzus.B2300914
CLC：
CSTR：
Published： 15 December 2024 ，

Published Online： 21 May 2024 ，

Received： 14 December 2023 ，

Revised： 26 February 2024 ，
Accepted：

Giovanni Davide BARONE,周雅琦,汪宏凯等.植物微生物群落中细菌-细菌互作对植物健康和生产力的影响[J].浙江大学学报（英文版）（B辑：生物医学和生物技术）,2024,25(12):1039-1054.

GIOVANNI DAVIDE BARONE, YAQI ZHOU, HONGKAI WANG, et al. Implications of bacteria‒bacteria interactions within the plant microbiota for plant health and productivity. [J]. Journal of zhejiang university-science b (biomedicine & biotechnology), 2024, 25(12): 1039-1054.
Giovanni Davide BARONE,周雅琦,汪宏凯等.植物微生物群落中细菌-细菌互作对植物健康和生产力的影响[J].浙江大学学报（英文版）（B辑：生物医学和生物技术）,2024,25(12):1039-1054. DOI： 10.1631/jzus.B2300914.

GIOVANNI DAVIDE BARONE, YAQI ZHOU, HONGKAI WANG, et al. Implications of bacteria‒bacteria interactions within the plant microbiota for plant health and productivity. [J]. Journal of zhejiang university-science b (biomedicine & biotechnology), 2024, 25(12): 1039-1054. DOI： 10.1631/jzus.B2300914.

摘要

化学农药防治是当前农业生产中防治作物病虫害最主要的措施，对粮食安全生产起到至关重要的作用。化学农药的不合理使用会导致有害生物抗药性和环境污染等问题，因此利用有益农业微生物资源控制作物有害生物被认为是替代化学防治的可持续举措之一。植物微生物群落对宿主植物的生长发育等具有重要作用，其中部分微生物具有开发为微生物农药和肥料的潜力。全面解析微生物群落中细菌之间的相互作用及其生态功能，对合理利用微生物菌落的功能来维持植物的健康和生产力至关重要。本综述重点关注微生物群落中细菌-细菌之间互作机理及其在不同环境下对作物发育与健康的影响，并强调如何通过调控这种互作改善作物生长环境，以及小分子物质和信号调控通路在细菌-细菌相互作用中的关键作用。本文列举了具有生物活性的细菌代谢产物介导细菌-细菌互作的典型案例及其互作机制。未来需要充分利用人工智能等先进技术，将微生物群落中各种二元互作方式整合到整个微生物组的复杂模型中，以进一步了解微生物群落中各组分间的互作机理，为更好地利用农业有益微生物资源解决作物病虫害等问题提供解决方案。

Abstract

Crop production currently relies on the widespread use of agrochemicals to ensure food security. This practice is considered unsustainable

yet has no viable alternative at present. The plant microbiota can fulfil various functions for its host

some of which could be the basis for developing sustainable protection and fertilization strategies for plants without relying on chemicals. To harness such functions

a detailed understanding of plant‒microbe and microbe‒microbe interactions is necessary. Among interactions within the plant microbiota

those between bacteria are the most common ones; they are not only of ecological importance but also essential for maintaining the health and productivity of the host plants. This review focuses on recent literature in this field and highlights various consequences of bacteria‒bacteria interactions under different agricultural settings. In addition

the molecular and genetic backgrounds of bacteria that facilitate such interactions are emphasized. Representative examples of commonly found bacterial metabolites with bioactive properties

as well as their modes of action

are given. Integrating our understanding of various binary interactions into complex models that encompass the entire microbiota will benefit future developments in agriculture and beyond

which could be further facilitated by artificial intelligence-based technologies.

关键词

植物微生物组细菌-细菌互作植物病原物农作物生产分子机理

Keywords

Plant microbiomeBacteria‒bacteria interactionPlant pathogenCrop productionMolecular interaction

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