4.6 Article

Characterization of soils conducive and non-conducive to Prunus replant disease

期刊

PLOS ONE
卷 16, 期 12, 页码 -

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PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0260394

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  1. Almond Board of California [PATH11]
  2. California Department of Pesticide Regulation [12-PML-R003]

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The study identified correlations between fertility level, pH, clay content, total nitrogen content, and electrical conductivity with Prunus replant disease occurrence. The structure of bacterial, fungal, and oomycete communities differed significantly between soils inducing and not inducing PRD, with certain microbial taxa showing higher abundances in PRD-inducing soils. Random forest classification and regression methods effectively distinguished between PRD-inducing and non-inducing soils, highlighting the importance of certain abiotic and biotic variables in PRD etiology.
Successive orchard plantings of almond and other Prunus species exhibit reduced growth and yield in many California soils. This phenomenon, known as Prunus replant disease (PRD), can be prevented by preplant soil fumigation or anaerobic soil disinfestation, but its etiology is poorly understood and its incidence and severity are hard to predict. We report here on relationships among physicochemical variables, microbial community structure, and PRD induction in 25 diverse replant soils from California. In a greenhouse bioassay, soil was considered to be PRD-inducing when growth of peach seedlings in it was significantly increased by preplant fumigation and pasteurization, compared to an untreated control. PRD was induced in 18 of the 25 soils, and PRD severity correlated positively with soil exchangeable-K, pH, %clay, total %N, and electrical conductivity. The structure of bacterial, fungal, and oomycete communities differed significantly between the PRD-inducing and non-inducing soils, based on PERMANOVA of Bray Curtis dissimilarities. Bacterial class MB-A2-108 of phylum Actinobacteria had high relative abundances among PRD-inducing soils, while Bacteroidia were relatively abundant among non-inducing soils. Among fungi, many ASVs classified only to kingdom level were relatively abundant among PRD-inducing soils whereas ASVs of Trichoderma were relatively abundant among non-inducing soils. Random forest classification effectively discriminated between PRD-inducing and non-inducing soils, revealing many bacterial ASVs with high explanatory values. Random forest regression effectively accounted for PRD severity, with soil exchangeable-K and pH having high predictive value. Our work revealed several biotic and abiotic variables worthy of further examination in PRD etiology.

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