Alpha and Beta-diversity of Microbial Communities Associated to Plant Disease Suppressive Functions of On-farm Green Composts

• Published in: Agriculture (Basel) 2020-04, Vol.10 (4), p.113
• Main Authors: Pane, Catello, Sorrentino, Roberto, Scotti, Riccardo, Molisso, Marcella, Di Matteo, Antonio, Celano, Giuseppe, Zaccardelli, Massimo
• Format: Article
• Language: English
• Subjects: Agricultural management; Agricultural production; Agricultural wastes; Bacteria; Biological control; Carbon; Chains; Composting; Composts; damping-off; Deoxyribonucleic acid; Disease control; DNA; Ecological niches; Fungi; Mathematical analysis; Metabolism; Microbial activity; microbiome; Microbiomes; Microorganisms; Niches; Pathogens; Phytotoxicity; Plant communities; Plant diseases; rRNA 16S; Seeds; soil ecology; Soil management; Sustainability
• ISSN: 2077-0472; 2077-0472
• DOI: 10.3390/agriculture10040113

Green waste composts are obtained from agricultural production chains; their suppressive properties are increasingly being developed as a promising biological control option in the management of soil-borne phytopathogens. The wide variety of microbes harbored in the compost ecological niches may regulate suppressive functions through not yet fully known underlying mechanisms. This study investigates alpha- and beta-diversity of the compost microbial communities, as indicators of the biological features. Our green composts displayed a differential pattern of suppressiveness over the two assayed pathosystems. Fungal and bacterial densities, as well as catabolic and enzyme functionalities did not correlate with the compost control efficacy on cress disease. Differences in the suppressive potential of composts can be better predicted by the variations in the community levels of physiological profiles indicating that functional alpha-diversity is more predictive than that which is calculated on terminal restriction fragments length polymorphisms (T-RFLPs) targeting the 16S rRNA gene. However, beta-diversity described by nMDS analysis of the Bray–Curtis dissimilarity allowed for separating compost samples into distinct functionally meaningful clusters and indicated that suppressiveness could be regulated by selected groups of microorganisms as major deterministic mechanisms. This study contributes to individuating new suitable characterization procedures applicable to the suppressive green compost chain.