2018
DOI: 10.1038/s41396-018-0300-0
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Legacy of land use history determines reprogramming of plant physiology by soil microbiome

Abstract: Microorganisms associated with roots are thought to be part of the so-called extended plant phenotypes with roles in the acquisition of nutrients, production of growth hormones, and defense against diseases. Since the crops selectively enrich most rhizosphere microbes out of the bulk soil, we hypothesized that changes in the composition of bulk soil communities caused by agricultural management affect the extended plant phenotype. In the current study, we performed shotgun metagenome sequencing of the rhizosph… Show more

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Cited by 194 publications
(151 citation statements)
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“…P -value adjustments for multiple comparisons were performed using the false discovery rate (FDR) correction [ 63 ]. Fold change of each OTU in treatments with the biocontrol agent (OF+W19 and SOF+W19) relative those without the biocontrol agent (OF and SOF) was calculated using the following formula: (B-N)/N, B is the relative abundance of a given OTU in Bacillus positive (OF+W19 and SOF+W19) samples and N represents the relative abundance of that OTU in Bacillus negative (OF and SOF) samples [ 64 ]. Structural equation modelling (SEM) was applied to evaluate the direct and indirect contributions of soil microbial community (bulk and rhizosphere soil) and F. oxysporum pathogen density to disease incidence [ 65 ].…”
Section: Methodsmentioning
confidence: 99%
“…P -value adjustments for multiple comparisons were performed using the false discovery rate (FDR) correction [ 63 ]. Fold change of each OTU in treatments with the biocontrol agent (OF+W19 and SOF+W19) relative those without the biocontrol agent (OF and SOF) was calculated using the following formula: (B-N)/N, B is the relative abundance of a given OTU in Bacillus positive (OF+W19 and SOF+W19) samples and N represents the relative abundance of that OTU in Bacillus negative (OF and SOF) samples [ 64 ]. Structural equation modelling (SEM) was applied to evaluate the direct and indirect contributions of soil microbial community (bulk and rhizosphere soil) and F. oxysporum pathogen density to disease incidence [ 65 ].…”
Section: Methodsmentioning
confidence: 99%
“…P-value adjustments for multiple comparisons were performed using the false discovery rate (FDR) correction [63]. Fold change of each OTU in treatments with the biocontrol agent (OF+W19 and SOF+W19) relative those without the biocontrol agent (OF and SOF) was calculated using the following formula: (B-N)/N, B is the relative abundance of a given OTU in Bacillus positive samples (OF+W19 and SOF+W19) samples and N represents the relative abundance of that OTU in Bacillus negative (OF and SOF) samples [64]. Structural equation modelling (SEM) was applied to evaluate the direct and indirect contributions of soil microbial community (bulk and rhizosphere soil) and F. oxysporum pathogen density to disease incidence [65].…”
Section: Statistical Analysesmentioning
confidence: 99%
“…Moreover, most of such studies have been conducted on different vineyards or soils located in different areas, thus providing severe limitations for the assignment of any soil microbial taxa/groups associated to a specific vine plant. In fact, it is well-known that microbial community structure and biogeography change with environmental variations and are primarily controlled by edaphic features (Fierer and Jackson, 2006;Kuramae et al, 2012;Burns et al, 2015;Li et al, 2019). Thus, in order to assess the role of soil microbial diversity and functions in determining grape and wine quality, it is essential to minimize the environmental variability and conduct the research at a within-vineyard scale, in the same soil or among similar soils.…”
Section: Introductionmentioning
confidence: 99%