Suppr超能文献

植物抗病相关途径通过蜡样芽孢杆菌AR156处理重塑根系分泌物来招募有益细菌。

Plant Disease Resistance-Related Pathways Recruit Beneficial Bacteria by Remodeling Root Exudates upon Bacillus cereus AR156 Treatment.

作者信息

Yang Bingye, Zheng Mingzi, Dong Wenpan, Xu Peiling, Zheng Ying, Yang Wei, Luo Yuming, Guo Jianhua, Niu Dongdong, Yu Yiyang, Jiang Chunhao

机构信息

Department of Plant Pathology, College of Plant Protection, Nanjing Agricultural University, Nanjing, China.

Key Laboratory of Integrated Management of Crop Disease and Pests, Ministry of Education/Key Laboratory of Integrated Pest Management on Crops in East China, Ministry of Agriculture/Key Laboratory of Plant Immunity, Nanjing Agricultural University, Nanjing, China.

出版信息

Microbiol Spectr. 2023 Feb 14;11(2):e0361122. doi: 10.1128/spectrum.03611-22.

Abstract

The environmentally friendly biological control strategy that relies on beneficial bacterial inoculants to improve plant disease resistance is a promising strategy. Previously, it has been demonstrated that biocontrol bacteria treatments can change the plant rhizosphere microbiota but whether plant signaling pathways, especially those related to disease resistance, mediate the changes in rhizosphere microbiota has not been explored. Here, we investigated the complex interplay among biocontrol strains, plant disease resistance-related pathways, root exudates, rhizosphere microorganisms, and pathogens to further clarify the biocontrol mechanism of biocontrol bacteria by using plant signaling pathway mutants. Bacillus cereus AR156, which was previously isolated from forest soil by our laboratory, can significantly control tomato bacterial wilt disease in greenhouse and field experiments. Moreover, compared with the control treatment, the B. cereus AR156 treatment had a significant effect on the soil microbiome and recruited 35 genera of bacteria to enrich the rhizosphere of tomato. Among them, the relative rhizosphere abundance of nine genera, including , , , , , , , , and , was regulated by plant disease resistance-related signaling pathways and B. cereus AR156. Linear correlation analysis showed that the relative abundances of six genera in the rhizosphere were significantly negatively correlated with pathogen colonization in roots. These rhizosphere bacteria were affected by plant root exudates that are regulated by signaling pathways. Our data suggest that B. cereus AR156 can promote the enrichment of beneficial microorganisms in the plant rhizosphere by regulating salicylic acid (SA) and jasmonic acid (JA)/ethylene (ET) signaling pathways in plants, thereby playing a role in controlling bacterial wilt disease. Meanwhile, Spearman correlation analysis showed that the relative abundances of these beneficial bacteria were correlated with the secretion of root exudates. Our study reveals a new mechanism for SA and JA/ET signals to participate in the adjustment of plant resistance whereby the signaling pathways adjust the rhizosphere microecology by changing the root exudates and thus change plant resistance. On the other hand, biocontrol strains can utilize this mechanism to recruit beneficial bacteria by activating disease resistance-related signaling pathways to confine the infection and spread of pathogens. Finally, our data also provide a new idea for the in-depth study of biocontrol mechanisms.

摘要

依靠有益细菌接种剂来提高植物抗病性的环保型生物防治策略是一种很有前景的策略。此前,已有研究表明生物防治细菌处理可改变植物根际微生物群,但植物信号通路,尤其是与抗病性相关的信号通路是否介导根际微生物群的变化尚未得到探索。在此,我们利用植物信号通路突变体研究了生物防治菌株、植物抗病相关通路、根系分泌物、根际微生物和病原体之间的复杂相互作用,以进一步阐明生物防治细菌的生物防治机制。蜡样芽孢杆菌AR156是我们实验室之前从森林土壤中分离出来的,在温室和田间试验中能显著防治番茄青枯病。此外,与对照处理相比,蜡样芽孢杆菌AR156处理对土壤微生物群有显著影响,并招募了35个细菌属来富集番茄根际。其中,包括[此处原文缺失九个属的具体名称]在内的九个属的根际相对丰度受植物抗病相关信号通路和蜡样芽孢杆菌AR156的调控。线性相关分析表明,根际六个属的相对丰度与根部病原体定殖呈显著负相关。这些根际细菌受信号通路调控的植物根系分泌物影响。我们的数据表明,蜡样芽孢杆菌AR156可通过调节植物中的水杨酸(SA)和茉莉酸(JA)/乙烯(ET)信号通路促进植物根际有益微生物的富集,从而在防治青枯病中发挥作用。同时,Spearman相关性分析表明,这些有益细菌的相对丰度与根系分泌物的分泌相关。我们的研究揭示了SA和JA/ET信号参与植物抗性调节的新机制,即信号通路通过改变根系分泌物来调节根际微生态,从而改变植物抗性。另一方面,生物防治菌株可利用这一机制通过激活抗病相关信号通路来招募有益细菌,以限制病原体的感染和传播。最后,我们的数据也为生物防治机制的深入研究提供了新思路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7003/10100852/48c599221420/spectrum.03611-22-f001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验