ArticlePloS one2016
Microbiota Characterization of Compost Using Omics Approaches Opens New Perspectives for Phytophthora Root Rot Control.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Characterization of shrimp waste-based compost and its antifungal efficacy against pathogens causing olive tree decline.World journal of microbiology & biotechnology · 2026Article
- Analyses of 37 composts revealed microbial taxa associated with disease suppressiveness.Applied and environmental microbiology · 2025Article
- Oxygen and hydrobiological profiles of homemade manure-based tea in North Africa.Scientific reports · 2025Article
- Assessment of the Biodegradability and Compostability of Finished Leathers: Analysis Using Spectroscopy and Thermal Methods.Polymers · 2024Article
- Article
- Analysis of Bacterial Microbiota of Aerated Compost Teas and Effect on Tomato Growth.Microbial ecology · 2023Article
- Soil and Phytomicrobiome for Plant Disease Suppression and Management under Climate Change: A Review.Plants (Basel, Switzerland) · 2023Review
- Elucidating the microbiome of the sustainable peat replacers composts and nature management residues.Frontiers in microbiology · 2022Article
- Metagenomic Screening for Lipolytic Genes Reveals an Ecology-Clustered Distribution Pattern.Frontiers in microbiology · 2022Article
- Evaluation of the Effects of Library Preparation Procedure and Sample Characteristics on the Accuracy of Metagenomic Profiles.mSystems · 2021Article
- Alcoholic-Hepatitis, Links to Brain and Microbiome: Mechanisms, Clinical and Experimental Research.Biomedicines · 2020Review
- Harnessing the Microbiomes of Suppressive Composts for Plant Protection: From Metagenomes to Beneficial Microorganisms and Reliable Diagnostics.Frontiers in microbiology · 2020Review
- A Bioinformatics Guide to Plant Microbiome Analysis.Frontiers in plant science · 2019Review
- Development of PCR-based molecular marker for screening of disease-suppressive composts against Fusarium wilt of tomato (3 Biotech · 2018Article
- Soil fungal biodiversity and pathogen identification of rotten disease in Aconitum carmichaelii (Fuzi) roots.PloS one · 2018Article
- Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Phytophthora root rot caused by Phytophthora nicotianae is an economically important disease in pepper crops. The use of suppressive composts is a low environmental impact method for its control. Although attempts have been made to reveal the relationship between microbiota and compost suppressiveness, little is known about the microorganisms associated with disease suppression. Here, an Ion Torrent platform was used to assess the microbial composition of composts made of different agro-industrial waste and with different levels of suppressiveness against P. nicotianae. Both bacterial and fungal populations responded differently depending on the chemical heterogeneity of materials used during the composting process. High proportions (67-75%) of vineyard pruning waste were used in the most suppressive composts, COM-A and COM-B. This material may have promoted the presence of higher relative abundance of Ascomycota as well as higher microbial activity, which have proved to be essential for controlling the disease. Although no unique fungi or bacteria have been detected in neither suppressive nor conducive composts, relatively high abundance of Fusarium and Zopfiella were found in compost COM-B and COM-A, respectively. To the best of our knowledge, this is the first work that studies compost metabolome. Surprisingly, composts and peat clustered together in principal component analysis of the metabolic data according to their levels of suppressiveness achieved. This study demonstrated the need for combining the information provided by different techniques, including metagenomics and metametabolomics, to better understand the ability of compost to control plant diseases.
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