Department of Microbial Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, The Netherlands.
Bioinformatics Group, Wageningen University, Wageningen, The Netherlands.
Proc Biol Sci. 2020 Feb 26;287(1921):20192527. doi: 10.1098/rspb.2019.2527. Epub 2020 Feb 19.
In disease-suppressive soils, microbiota protect plants from root infections. Bacterial members of this microbiota have been shown to produce specific molecules that mediate this phenotype. To date, however, studies have focused on individual suppressive soils and the degree of natural variability of soil suppressiveness remains unclear. Here, we screened a large collection of field soils for suppressiveness to using wheat () as a model host plant. A high variation of disease suppressiveness was observed, with 14% showing a clear suppressive phenotype. The microbiological basis of suppressiveness to was confirmed by gamma sterilization and soil transplantation. Amplicon sequencing revealed diverse bacterial taxonomic compositions and no specific taxa were found exclusively enriched in all suppressive soils. Nonetheless, co-occurrence network analysis revealed that two suppressive soils shared an overrepresented bacterial guild dominated by various Acidobacteria. In addition, our study revealed that volatile emission may contribute to suppression, but not for all suppressive soils. Our study raises new questions regarding the possible mechanistic variability of disease-suppressive phenotypes across physico-chemically different soils. Accordingly, we anticipate that larger-scale soil profiling, along with functional studies, will enable a deeper understanding of disease-suppressive microbiomes.
在抑制病害的土壤中,微生物群会保护植物免受根部感染。已经证明,这种微生物群的细菌成员会产生特定的分子来介导这种表型。然而,迄今为止,研究主要集中在个别抑制性土壤上,土壤抑制性的自然变异性程度尚不清楚。在这里,我们使用小麦作为模型宿主植物,对大量野外土壤进行了筛选,以确定其对 的抑制能力。观察到抑制能力存在高度变异,其中 14%表现出明显的抑制表型。通过伽马辐射灭菌和土壤移植证实了对 的抑制能力的微生物学基础。扩增子测序揭示了多样化的细菌分类组成,没有发现任何特定的类群专门富集在所有抑制性土壤中。尽管如此,共现网络分析显示,两个抑制性土壤共享一个以各种酸杆菌为主的过度代表细菌菌门。此外,我们的研究还表明,挥发性排放可能有助于抑制,但并非对所有抑制性土壤都有效。我们的研究提出了新的问题,即不同物理化学性质的土壤中,病害抑制表型的可能存在机制变异性。因此,我们预计更大规模的土壤剖面分析以及功能研究将使我们能够更深入地了解病害抑制性微生物组。