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Involvement of Burkholderiaceae and sulfurous volatiles in disease-suppressive soils

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TLDR
Analysis of isolates of Burkholderia pyrrocinia, Paraburkholderia caledonica, P. graminis, and P. hospita indicates that specific members of the Burkholderiaceae family contribute to soil suppressiveness via the production of sulfurous volatile compounds.
Abstract
Disease-suppressive soils are ecosystems in which plants suffer less from root infections due to the activities of specific microbial consortia. The characteristics of soils suppressive to specific fungal root pathogens are comparable to those of adaptive immunity in animals, as reported by Raaijmakers and Mazzola (Science 352:1392-3, 2016), but the mechanisms and microbial species involved in the soil suppressiveness are largely unknown. Previous taxonomic and metatranscriptome analyses of a soil suppressive to the fungal root pathogen Rhizoctonia solani revealed that members of the Burkholderiaceae family were more abundant and more active in suppressive than in non-suppressive soils. Here, isolation, phylogeny, and soil bioassays revealed a significant disease-suppressive activity for representative isolates of Burkholderia pyrrocinia, Paraburkholderia caledonica, P. graminis, P. hospita, and P. terricola. In vitro antifungal activity was only observed for P. graminis. Comparative genomics and metabolite profiling further showed that the antifungal activity of P. graminis PHS1 was associated with the production of sulfurous volatile compounds encoded by genes not found in the other four genera. Site-directed mutagenesis of two of these genes, encoding a dimethyl sulfoxide reductase and a cysteine desulfurase, resulted in a loss of antifungal activity both in vitro and in situ. These results indicate that specific members of the Burkholderiaceae family contribute to soil suppressiveness via the production of sulfurous volatile compounds.

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Plant–microbiome interactions: from community assembly to plant health

TL;DR: This Review explores how plant microbiome research has unravelled the complex network of genetic, biochemical, physical and metabolic interactions among the plant, the associated microbial communities and the environment and how those interactions shape the assembly of plant-associated microbiomes and modulate their beneficial traits.
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A review on the plant microbiome: Ecology, functions, and emerging trends in microbial application

TL;DR: In this paper, the importance and functionalities of the bacterial plant microbiome and discusses challenges and concepts in regard to the application of plantassociated bacteria. But, the authors do not consider the impact of farming practices and genotype on the microbial community.
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The Plant Microbiome: From Ecology to Reductionism and Beyond.

TL;DR: The next stage in plant microbiome research will require the integration of ecological and reductionist approaches to establish a general understanding of the assembly and function in both natural and managed environments.
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Microbial volatile organic compounds in intra-kingdom and inter-kingdom interactions

TL;DR: In this paper, the authors highlight recent discoveries concerning microbial volatile compounds and their roles in intra-kingdom microbial interactions, and indicate the potential biotechnological applications of microbial volatiles and discuss challenges and perspectives in this emerging research field.
References
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R: A language and environment for statistical computing.

R Core Team
- 01 Jan 2014 - 
TL;DR: Copyright (©) 1999–2012 R Foundation for Statistical Computing; permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and permission notice are preserved on all copies.
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Controlling the false discovery rate: a practical and powerful approach to multiple testing

TL;DR: In this paper, a different approach to problems of multiple significance testing is presented, which calls for controlling the expected proportion of falsely rejected hypotheses -the false discovery rate, which is equivalent to the FWER when all hypotheses are true but is smaller otherwise.
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The neighbor-joining method: a new method for reconstructing phylogenetic trees.

TL;DR: The neighbor-joining method and Sattath and Tversky's method are shown to be generally better than the other methods for reconstructing phylogenetic trees from evolutionary distance data.
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Confidence limits on phylogenies: an approach using the bootstrap.

TL;DR: The recently‐developed statistical method known as the “bootstrap” can be used to place confidence intervals on phylogenies and shows significant evidence for a group if it is defined by three or more characters.
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MEGA6: Molecular Evolutionary Genetics Analysis Version 6.0

TL;DR: An advanced version of the Molecular Evolutionary Genetics Analysis software, which currently contains facilities for building sequence alignments, inferring phylogenetic histories, and conducting molecular evolutionary analysis, is released, which enables the inference of timetrees, as it implements the RelTime method for estimating divergence times for all branching points in a phylogeny.
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