Deterministic assembly of rhizosphere bacterial community enables predictable and stable suppression of Verticillium wilt via microbial homeostasis.

IF 14.9 1区 生物学 Q1 MICROBIOLOGY
Jiamin Ai, Jiangying Huang, Chenyuan Wang, Xinrui Wang, Yiduo Zhao, Gehong Wei, Zhefei Li
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Abstract

Background: The rhizosphere microbiota plays essential roles in maintaining normal physiological function and preventing disease in plants. However, the mechanisms by which soil-borne pathogens break through the microbial defense line in the rhizosphere to infect the host are not well understood.

Results: In this study, we observed that the relative abundance of Verticillium dahliae does not significantly differ between healthy and diseased rhizospheres, but the root-associated microbial community structure changes substantially. The invasion of pathogens shifts the assembly process of the microbial community from deterministic to stochastic, making it difficult to predict the disease resistance function of the rhizosphere microbial community. An increase in stochasticity promotes the rapid proliferation of opportunistic bacteria, which deplete carbon sources, disrupt the balance of the original microbial community, and reduce network stability. Consequently, the depletion of beneficial microbes leads to rhizosphere dysbiosis, while fungal pathogenic allies gain a competitive advantage, thereby facilitating the progression of Verticillium wilt. These results are further validated by constructing synthetic microbial communities (SynComs) using strains enriched in different ecological processes. Healthy plants maintain their health by recruiting beneficial microorganisms through deterministic processes. Moreover, the disease-suppressive efficacy of SynComs governed by deterministic processes was less affected by inoculation timing or concentration, making their functional outcomes more predictable. In contrast, the disease resistance levels of SynComs governed by stochastic processes are more sensitive to inoculation timing and concentration, making their function more unpredictable.

Conclusions: Overall, our findings emphasize the potential of SynComs designed according to community assembly principles to combat soil-borne diseases, with deterministically assembled SynComs providing more durable disease resistance than stochastically assembled ones. Video Abstract.

根际细菌群落的确定性组装可以通过微生物稳态来预测和稳定地抑制黄萎病。
背景:根际微生物群在维持植物正常生理功能和预防疾病方面发挥着重要作用。然而,土壤传播的病原体如何突破根际微生物防线感染宿主的机制尚不清楚。结果:在本研究中,我们观察到大丽花黄萎病菌的相对丰度在健康根际和患病根际之间没有显著差异,但根相关微生物群落结构发生了很大变化。病原菌的入侵使微生物群落的组装过程从确定性转变为随机性,使根际微生物群落的抗病功能难以预测。随机性的增加促进了机会菌的快速增殖,从而消耗了碳源,破坏了原有微生物群落的平衡,降低了网络的稳定性。因此,有益微生物的消耗导致根际生态失调,而真菌致病盟友获得竞争优势,从而促进黄萎病的发展。利用不同生态过程富集的菌株构建合成微生物群落(SynComs)进一步验证了上述结果。健康植物通过确定性过程吸收有益微生物来维持其健康。此外,由确定性过程控制的SynComs的疾病抑制效果受接种时间或浓度的影响较小,使其功能结果更具可预测性。相比之下,受随机过程支配的SynComs抗病水平对接种时间和浓度更为敏感,使其功能更具不可预测性。结论:总的来说,我们的研究结果强调了根据群落组装原则设计的SynComs在对抗土壤传播疾病方面的潜力,确定性组装的SynComs比随机组装的SynComs具有更持久的抗病性。视频摘要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Microbiome
Microbiome MICROBIOLOGY-
CiteScore
21.90
自引率
2.60%
发文量
198
审稿时长
4 weeks
期刊介绍: Microbiome is a journal that focuses on studies of microbiomes in humans, animals, plants, and the environment. It covers both natural and manipulated microbiomes, such as those in agriculture. The journal is interested in research that uses meta-omics approaches or novel bioinformatics tools and emphasizes the community/host interaction and structure-function relationship within the microbiome. Studies that go beyond descriptive omics surveys and include experimental or theoretical approaches will be considered for publication. The journal also encourages research that establishes cause and effect relationships and supports proposed microbiome functions. However, studies of individual microbial isolates/species without exploring their impact on the host or the complex microbiome structures and functions will not be considered for publication. Microbiome is indexed in BIOSIS, Current Contents, DOAJ, Embase, MEDLINE, PubMed, PubMed Central, and Science Citations Index Expanded.
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