2020
DOI: 10.1098/rspb.2019.2527
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Microbial and volatile profiling of soils suppressive to Fusarium culmorum of wheat

Abstract: 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 Fusarium culmorum using wheat ( Triticum aestivum ) … Show more

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Cited by 28 publications
(46 citation statements)
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“…Such advances require the development of theoretical and conceptual frameworks such as those discussed in §3 to drive hypothesis generation and predictions that can be tested through the careful design of empirical studies. The field of microbiome research therefore transcends disciplines, as exemplified by the diversity of methodological and analytical approaches described in the contributions to the special feature, including mathematical modelling [9,[16][17][18], DNA and RNA sequencing [7,10,14,18], flow cytometry [14], infection tests in model and non-model pathosystems [7,18], physico-chemical and volatile analysis [7], and measures of hormone activity to assess host physiological responses to its environment [10]. A major theme pervading this special feature is the link between mathematical model simulations and empirical studies [9,11,16,17].…”
Section: Methodological and Analytical Approaches For Characterizing mentioning
confidence: 99%
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“…Such advances require the development of theoretical and conceptual frameworks such as those discussed in §3 to drive hypothesis generation and predictions that can be tested through the careful design of empirical studies. The field of microbiome research therefore transcends disciplines, as exemplified by the diversity of methodological and analytical approaches described in the contributions to the special feature, including mathematical modelling [9,[16][17][18], DNA and RNA sequencing [7,10,14,18], flow cytometry [14], infection tests in model and non-model pathosystems [7,18], physico-chemical and volatile analysis [7], and measures of hormone activity to assess host physiological responses to its environment [10]. A major theme pervading this special feature is the link between mathematical model simulations and empirical studies [9,11,16,17].…”
Section: Methodological and Analytical Approaches For Characterizing mentioning
confidence: 99%
“…They combined in vitro transcriptome experiments comprising single and poly-species bacterial cultures growing on oak tissue, with more complex infection tests combining bacterial inoculations with the addition of beetle larvae in a novel oak log infection model, to demonstrate the cumulative impact of these interactions on the pathology of AOD. Ossowicki et al [7] used soil transplantation experiments to demonstrate the microbiological basis of disease suppression in wheat (Triticum aestivum) to the soil pathogen Fusarium culmorum, providing fascinating insights into the mechanistic diversity of disease suppression in soils.…”
Section: Methodological and Analytical Approaches For Characterizing mentioning
confidence: 99%
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