Keystone microbial taxa regulate the invasion of a fungal pathogen in agro-ecosystems

被引:144
作者
Trivedi, P. [1 ,2 ]
Delgado-Baquerizo, M. [2 ,3 ]
Trivedi, C. [2 ]
Hamonts, K. [2 ]
Anderson, I. C. [2 ]
Singh, B. K. [2 ,4 ]
机构
[1] Colorado State Univ, Dept Bioagr Sci & Pest Management, Ft Collins, CO 80523 USA
[2] Western Sydney Univ, Hawkesbury Inst Environm, Penrith, NSW, Australia
[3] Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO USA
[4] Western Sydney Univ, Global Ctr Land Based Innovat, Penrith, NSW, Australia
基金
澳大利亚研究理事会;
关键词
Soil bacteria; Plant disease; Soil suppressiveness; Soil functioning; Random forest; Structural equation modeling; COMMUNITY COMPOSITION; SOIL TYPE; PLANT; DISEASE; DIVERSITY; STRAIN; BACK;
D O I
10.1016/j.soilbio.2017.03.013
中图分类号
S15 [土壤学];
学科分类号
0903 ; 090301 ;
摘要
Uncovering potential soil drivers of soils pathogen suppression represent an essential step in order to develop alternative and sustainable management strategies for disease control and increased soil health. In this study, we tested the potential role of keystone microbial taxa and chemical/physical properties in the suppression (referred to as soil suppressiveness) of the soil-borne model pathogen Fusarium oxysporum using soil samples from various crop producing agro-ecosystems in Australia. Using random forest, we identified bacteria belonging to the phyla Actinobacteria, Firmicutes and Acidobacteria as the major microbial predictors for soil suppressiveness at a continental scale. Structural equation modeling approach revealed strong relationship between the relative abundance of phylum Actinobacteria and soil functions carried out by soil microbial communities (soil functioning) with pathogen inhibition. Overall our study provided a mechanistic framework showing how microbial communities, soil functionality, and abiotic properties being antagonistic to soil pathogens are linked and interactively shape the suppressive potential of soils at continental scale. This information, upon further validation can be incorporated in risk management tools for developing novel concepts such as "Know before you Sow" leading to increased farm productivity and profitability. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:10 / 14
页数:5
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