Use of omic approaches for characterizing microbiota from suppressive compost to control soil-borne plant pathogens

Microbiomes composition, diversity, and variability into a collection of suppressive composts were investigated for effective biological control of soil-borne phytopathogens. Pyrosequencing resulted be a reliable and faster method for characterizing fungal and bacterial microbiomes into composts derived from a varied feedstock of different composition, origin and provenience. Differences in taxonomic structure assessed by bioinformatics analyses were related to feedstock origin. Green composts derived from agro-waste and agroindustrial co/byproducts provided the most varied microbiomes either related to suppression of Rhizoctonia damping-off in bean and Verticillium wilt in eggplant, either to control of Phytium damping-off in cucumber and Phytophthora root rot in tomato. On the other hand, composted municipal solid wastes and co-composted cow manure with household waste prevalently given a most specific microbiota related to suppression of Fusarium wilt in melon.