|FREILICH, SHIRI - Newe Ya'Ar Research Center|
|VETCOS, MARIA - Newe Ya'Ar Research Center|
|MALIK, ASSAF - Newe Ya'Ar Research Center|
|MEDINA, SHLMIT - Newe Ya'Ar Research Center|
|COHEN, MARAN - Newe Ya'Ar Research Center|
|OFEK-LLAZAR, MAYA - Newe Ya'Ar Research Center|
|FAIGANBION-DORON, ADI - Newe Ya'Ar Research Center|
Submitted to: Symposium Proceedings
Publication Type: Abstract Only
Publication Acceptance Date: 8/17/2019
Publication Date: 9/9/2019
Citation: Freilich, S., Vetcos, M., Malik, A., Medina, S., Cohen, M., Ofek-Llazar, M., Faiganbion-Doron, A., Mazzola, M. 2019. Computational approaches for deciphering the functions of microbial communities. Symposium Proceedings. p. 22.
Technical Abstract: Soil-borne diseases have, in many cases, efficient and environmentally friendly amendment-based solutions. Success of such amendment-based treatments to stimulate a microbiome-mediated disease control strategy is determined by the introduction of accessible metabolites that are beneficial to organisms functional in disease control or deleterious to organisms contributing to disease progression. Metagenomic surveys allow exploring the significance of shifts in community structure through comparing the functional potential of different samples. In my talk, I will present the application of network approaches for finding environmentally friendly solutions for soil- borne diseases, based on the analyses of metagenomics data from healthy vs. symptomatic apple orchards following effective and non-effective soil amendment treatments. Such integration of metagenomics data aims at laying foundations for the educated design of sustainable solutions for suppressing soil-borne disease symptoms through substrate mediated recruitment of disease-suppressive microbiomes in cropping systems.