Fungal community structure in disease suppressive soils assessed by 28S LSU gene sequencing.

Natural biological suppression of soil-borne diseases is a function of the activity and composition of soil microbial communities. Soil microbe and phytopathogen interactions can occur prior to crop sowing and/or in the rhizosphere, subsequently influencing both plant growth and productivity. Resear...

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Main Authors: C Ryan Penton, V V S R Gupta, James M Tiedje, Stephen M Neate, Kathy Ophel-Keller, Michael Gillings, Paul Harvey, Amanda Pham, David K Roget
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0093893&type=printable
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author C Ryan Penton
V V S R Gupta
James M Tiedje
Stephen M Neate
Kathy Ophel-Keller
Michael Gillings
Paul Harvey
Amanda Pham
David K Roget
author_facet C Ryan Penton
V V S R Gupta
James M Tiedje
Stephen M Neate
Kathy Ophel-Keller
Michael Gillings
Paul Harvey
Amanda Pham
David K Roget
author_sort C Ryan Penton
collection DOAJ
description Natural biological suppression of soil-borne diseases is a function of the activity and composition of soil microbial communities. Soil microbe and phytopathogen interactions can occur prior to crop sowing and/or in the rhizosphere, subsequently influencing both plant growth and productivity. Research on suppressive microbial communities has concentrated on bacteria although fungi can also influence soil-borne disease. Fungi were analyzed in co-located soils 'suppressive' or 'non-suppressive' for disease caused by Rhizoctonia solani AG 8 at two sites in South Australia using 454 pyrosequencing targeting the fungal 28S LSU rRNA gene. DNA was extracted from a minimum of 125 g of soil per replicate to reduce the micro-scale community variability, and from soil samples taken at sowing and from the rhizosphere at 7 weeks to cover the peak Rhizoctonia infection period. A total of ∼ 994,000 reads were classified into 917 genera covering 54% of the RDP Fungal Classifier database, a high diversity for an alkaline, low organic matter soil. Statistical analyses and community ordinations revealed significant differences in fungal community composition between suppressive and non-suppressive soil and between soil type/location. The majority of differences associated with suppressive soils were attributed to less than 40 genera including a number of endophytic species with plant pathogen suppression potentials and mycoparasites such as Xylaria spp. Non-suppressive soils were dominated by Alternaria, Gibberella and Penicillum. Pyrosequencing generated a detailed description of fungal community structure and identified candidate taxa that may influence pathogen-plant interactions in stable disease suppression.
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spelling doaj-art-6672074da6a8463893fd2b290dfddd392025-08-20T03:00:35ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0194e9389310.1371/journal.pone.0093893Fungal community structure in disease suppressive soils assessed by 28S LSU gene sequencing.C Ryan PentonV V S R GuptaJames M TiedjeStephen M NeateKathy Ophel-KellerMichael GillingsPaul HarveyAmanda PhamDavid K RogetNatural biological suppression of soil-borne diseases is a function of the activity and composition of soil microbial communities. Soil microbe and phytopathogen interactions can occur prior to crop sowing and/or in the rhizosphere, subsequently influencing both plant growth and productivity. Research on suppressive microbial communities has concentrated on bacteria although fungi can also influence soil-borne disease. Fungi were analyzed in co-located soils 'suppressive' or 'non-suppressive' for disease caused by Rhizoctonia solani AG 8 at two sites in South Australia using 454 pyrosequencing targeting the fungal 28S LSU rRNA gene. DNA was extracted from a minimum of 125 g of soil per replicate to reduce the micro-scale community variability, and from soil samples taken at sowing and from the rhizosphere at 7 weeks to cover the peak Rhizoctonia infection period. A total of ∼ 994,000 reads were classified into 917 genera covering 54% of the RDP Fungal Classifier database, a high diversity for an alkaline, low organic matter soil. Statistical analyses and community ordinations revealed significant differences in fungal community composition between suppressive and non-suppressive soil and between soil type/location. The majority of differences associated with suppressive soils were attributed to less than 40 genera including a number of endophytic species with plant pathogen suppression potentials and mycoparasites such as Xylaria spp. Non-suppressive soils were dominated by Alternaria, Gibberella and Penicillum. Pyrosequencing generated a detailed description of fungal community structure and identified candidate taxa that may influence pathogen-plant interactions in stable disease suppression.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0093893&type=printable
spellingShingle C Ryan Penton
V V S R Gupta
James M Tiedje
Stephen M Neate
Kathy Ophel-Keller
Michael Gillings
Paul Harvey
Amanda Pham
David K Roget
Fungal community structure in disease suppressive soils assessed by 28S LSU gene sequencing.
PLoS ONE
title Fungal community structure in disease suppressive soils assessed by 28S LSU gene sequencing.
title_full Fungal community structure in disease suppressive soils assessed by 28S LSU gene sequencing.
title_fullStr Fungal community structure in disease suppressive soils assessed by 28S LSU gene sequencing.
title_full_unstemmed Fungal community structure in disease suppressive soils assessed by 28S LSU gene sequencing.
title_short Fungal community structure in disease suppressive soils assessed by 28S LSU gene sequencing.
title_sort fungal community structure in disease suppressive soils assessed by 28s lsu gene sequencing
url https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0093893&type=printable
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