Xianjun Lai, Changhe Wei, Haiyan Wang, Zhouhua He, Feng Zhang, Zhiyong Lei, Xiyao Wang, Shifeng Liu, Lang Yan
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Full-length 16S rRNA sequencing and microbial network analyses were conducted on rhizosphere samples to assays microbiome responses. Plate inhibition assays and greenhouse inoculation trials were used to screen and validate potential beneficial bacteria from latently infected samples.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>Resistance to infection differed significantly between the two cultivars, with 86.67% of H15 and 38.71% of Q9 plants developing symptoms, while latent infections were more frequent in Q9 (61.29%) than in H15 (13.33%). α- and β-diversity analyses revealed distinct microbial communities between diseased and latently infected plants. The Shannon index was positively correlated with disease severity (Spearman’s <i>r</i> = 0.733, <i>p</i> = 0.016), and β-diversity analysis revealed a significant association between microbial community composition and disease progression (Mantel <i>r</i> = 0.859, <i>p</i> = 0.0015). Robust microbial networks with higher modularity and clustering coefficients were observed in latently infected Q9 plants, enriched with <i>Pseudomonas</i> and <i>Bacillus</i>. We isolated 43 bacterial strains and clustered them into seven OTUs. <i>Pseudomonas putida</i> XC1 showed the strongest inhibition against Rs and effectively reduced wilt symptoms in greenhouse assays.</p><h3 data-test=\"abstract-sub-heading\">Conclusions</h3><p>Latently infected plants actively recruit and assemble beneficial rhizosphere microbiomes, which enhance microbial network stability and suppress pathogen activity. 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引用次数: 0
摘要
目的青枯病是由青枯病菌(Ralstonia solanacearum, Rs)引起的,通常表现为无症状的潜伏感染,植物Rs检测呈阳性,但没有明显症状。虽然潜伏感染与病原体暴露有关,但根际微生物在植物抗性中的作用尚不清楚。本研究旨在探讨潜伏感染的马铃薯植株是否可以招募有益微生物群来减轻Rs感染。方法对H15(高敏感)和Q9(低敏感)2个马铃薯品种进行高病原菌胁迫试验。对根际样品进行16S rRNA全长测序和微生物网络分析,分析微生物组的响应。平板抑制试验和温室接种试验用于筛选和验证潜伏感染样品中潜在的有益细菌。结果2个品种对侵染的抗性差异显著,H15和Q9分别有86.67%和38.71%的植株出现症状,且Q9的潜伏侵染发生率(61.29%)高于H15(13.33%)。α-和β多样性分析显示,患病和潜伏感染植物之间的微生物群落存在差异。Shannon指数与疾病严重程度呈正相关(Spearman’s r = 0.733, p = 0.016), β-多样性分析显示微生物群落组成与疾病进展显著相关(Mantel r = 0.859, p = 0.0015)。在潜伏感染的Q9植株中观察到强大的微生物网络,具有较高的模块化和聚类系数,富含假单胞菌和芽孢杆菌。我们分离到43株细菌,并将它们聚集在7个otu中。在温室试验中,腐殖假单胞菌XC1对Rs的抑制作用最强,能有效减轻青枯病症状。结论潜伏侵染植物积极招募和聚集有益根际微生物群,增强微生物网络稳定性,抑制病原菌活性。这种微生物组介导的耐药性突出了利用有益微生物进行可持续疾病控制的潜力。
Responses of the potato rhizosphere bacterial communities to Ralstonia solanacearum infection and their roles in binary disease outcomes
Aims
Bacterial wilt, caused by Ralstonia solanacearum (Rs), often presents as a symptomless latent infection where plants test positive for Rs but exhibit no visible symptoms. While latent infection is associated with pathogen exposure, the role of rhizosphere microorganisms in plant resistance remains unclear. This study aimed to investigate whether latently infected potato plants can recruit beneficial microbiomes to mitigate Rs infection.
Methods
Two potato cultivars, H15 (high susceptibility) and Q9 (low susceptibility), were tested under high pathogen pressure. Full-length 16S rRNA sequencing and microbial network analyses were conducted on rhizosphere samples to assays microbiome responses. Plate inhibition assays and greenhouse inoculation trials were used to screen and validate potential beneficial bacteria from latently infected samples.
Results
Resistance to infection differed significantly between the two cultivars, with 86.67% of H15 and 38.71% of Q9 plants developing symptoms, while latent infections were more frequent in Q9 (61.29%) than in H15 (13.33%). α- and β-diversity analyses revealed distinct microbial communities between diseased and latently infected plants. The Shannon index was positively correlated with disease severity (Spearman’s r = 0.733, p = 0.016), and β-diversity analysis revealed a significant association between microbial community composition and disease progression (Mantel r = 0.859, p = 0.0015). Robust microbial networks with higher modularity and clustering coefficients were observed in latently infected Q9 plants, enriched with Pseudomonas and Bacillus. We isolated 43 bacterial strains and clustered them into seven OTUs. Pseudomonas putida XC1 showed the strongest inhibition against Rs and effectively reduced wilt symptoms in greenhouse assays.
Conclusions
Latently infected plants actively recruit and assemble beneficial rhizosphere microbiomes, which enhance microbial network stability and suppress pathogen activity. This microbiome-mediated resistance highlights the potential of using beneficial microbes for sustainable disease control.
期刊介绍:
Plant and Soil publishes original papers and review articles exploring the interface of plant biology and soil sciences, and that enhance our mechanistic understanding of plant-soil interactions. We focus on the interface of plant biology and soil sciences, and seek those manuscripts with a strong mechanistic component which develop and test hypotheses aimed at understanding underlying mechanisms of plant-soil interactions. Manuscripts can include both fundamental and applied aspects of mineral nutrition, plant water relations, symbiotic and pathogenic plant-microbe interactions, root anatomy and morphology, soil biology, ecology, agrochemistry and agrophysics, as long as they are hypothesis-driven and enhance our mechanistic understanding. Articles including a major molecular or modelling component also fall within the scope of the journal. All contributions appear in the English language, with consistent spelling, using either American or British English.