Zhao Juan, Cheng Yanli, Jiang Nan, Qiao Guanghang, Qin Wentao
Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
Beijing Key Laboratory of Environment Friendly Management on Fruit Diseases and Pests in North China, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
Front Microbiol. 2024 Jan 5;14:1279096. doi: 10.3389/fmicb.2023.1279096. eCollection 2023.
wilt is the most devastating soil-borne disease affecting in the progress of urban landscape construction in China.
To assess the variability of the rhizosphere-associated soil microbiome in response to wilt occurrence, we investigated the microbial diversity, taxonomic composition, biomarker species, and co-occurrence network of the rhizosphere-associated soil in wiltaffected using Illumina sequencing.
The alpha diversity indices of the rhizosphere bacteria in wilt-affected plants showed no significant variability compared with those in healthy plants, except for a moderate increase in the Shannon and Invsimpson indices, while the fungal alpha diversity indices were significantly decreased. The abundance of certain dominant or crucial microbial taxa, such as , , , and , displayed significant variations among different soil samples. The bacterial and fungal community structures exhibited distinct variability, as evidenced by the Bray-Curtis dissimilarity matrices. Co-occurrence networks unveiled intricate interactions within the microbial community of wilt-affected , with greater edge numbers and higher network density. The phenomenon was more evident in the fungal community, showing increased positive interaction, which may be associated with the aggravation of wilt with the aid of . The proportions of bacteria involved in membrane transport and second metabolite biosynthesis functions were significantly enriched in the diseased rhizosphere soil samples.
These findings suggested that healthy harbored an obviously higher abundance of beneficial microbial consortia, such as while wilt-affected plants may recruit antagonistic members such as in response to infection. This study provides a theoretical basis for understanding the soil micro-ecological mechanism of wilt occurrence, which may be helpful in the prevention and control of the disease in from the microbiome perspective.
枯萎病是中国城市园林建设进程中最具毁灭性的土传病害。
为评估根际相关土壤微生物群对枯萎病发生的响应变异性,我们利用Illumina测序技术研究了枯萎病感染植株根际相关土壤的微生物多样性、分类组成、生物标志物物种和共现网络。
与健康植株相比,枯萎病感染植株根际细菌的α多样性指数除香农指数和逆辛普森指数略有增加外,无显著变异性,而真菌α多样性指数显著降低。某些优势或关键微生物类群,如[具体类群未给出]的丰度在不同土壤样品间表现出显著差异。细菌和真菌群落结构表现出明显的变异性,Bray-Curtis差异矩阵证明了这一点。共现网络揭示了枯萎病感染植株微生物群落内复杂的相互作用,边数更多且网络密度更高。这种现象在真菌群落中更明显,显示出正相互作用增加,这可能与借助[具体因素未给出]导致枯萎病加重有关。参与膜运输和次生代谢物生物合成功能的细菌比例在患病根际土壤样品中显著富集。
这些发现表明,健康的[植物名称未给出]拥有明显更高丰度的有益微生物群落,如[具体群落未给出],而枯萎病感染植株可能会响应感染而招募拮抗成员,如[具体成员未给出]。本研究为理解枯萎病发生的土壤微生态机制提供了理论依据,这可能有助于从微生物组角度预防和控制[植物名称未给出]中的这种病害。