REMINDER Van: "Delphine Verspeel" <delphine.verspeel@psb.vib-ugent.be> Aan: "meetings" <meetings@psb.vib-ugent.be> Verzonden: Woensdag 22 februari 2023 15:02:54 Onderwerp: You are invited to attend “predicting microbiome composition and successful inoculation with arbuscular mycorrhizal fungi” ON March 7, 2023 You are receiving this e-mail because you subscribed to our seminars announcements and reminders service at [ https://maillist.psb.ugent.be/mailman/listinfo/seminars | https://maillist.psb.ugent.be/mailman/listinfo/seminars ] . '' predicting microbiome composition and successful inoculation with arbuscular mycorrhizal fungi '' Dr Natacha Bodenhausen FiBL-Research Institute of Organic Agriculture Department of Soil Sciences SWITZERLAND Tuesday, March 7, 2023 11:00 Natacha Bodenhausen, Stefanie Lutz, Julia Hess, Alain Valzano-Held, Jan Waelchli, Gabriel Deslandes-Hérold, Marcel van der Heijden, Klaus Schlaeppi To reduce the environmental impact of mineral fertilizers including loss of biodiversity and eutrophication of rivers and lakes, it is necessary to find alternative solutions. One such solution is the use of arbuscular mycorrhizal fungi (AMF), which form a symbiotic relationship with most plant species and contribute to plant growth by providing essential nutrients like phosphorus. However, successful inoculation with AMF can vary depending on soil fertility and the soil microbial complexity. To address this issue, they suggest developing “microbiome diagnostics” to better predict the success of AMF inoculation. The proposed approach involves two steps. The first step is to predict the soil microbiome based on the soil properties, and the second step is to predict the success of AMF inoculation success based on soil properties and the soil microbiome. They carried out on-farm experiments in 54 fields. They analyzed the soil physical-chemical properties and sequenced the fungal communities at the start of the experiment. They then combined the data using redundancy analysis to create a predictive model for soil microbiome. Using leave-one-out validation, they evaluated the model for its suitability for prediction. In the next step, they developed a model to predict inoculation success. They determined that the abundance of pathogenic fungi present in the soil during the spring season was the most reliable predictor. Additionally, they sequenced the fungal communities in maize roots at harvest time and found that AMF inoculation resulted in a decline in the abundance of pathogenic fungi. Ultimately, the two approaches must be to be merged to eliminate the need for expensive and time-consuming sequencing. Improving the predictability of AMF inoculation success can lead in a more a more sustainable agriculture and to more efficient use of biofertilizers. Jozef Schell seminar room Technologiepark 71 - 9052 Invited by Prof Dirk Inzé and Prof Sofie Goormachtig If you do not wish to receive this information anymore, please unsubscribe from future mailings at [ https://maillist.psb.ugent.be/mailman/listinfo/seminars | https://maillist.psb.ugent.be/mailman/listinfo/seminars ] Genome editing, cutting-edge technology for a sustainable agriculture VIB-UGent Center for Plant Systems Biology Ghent University Technologiepark-Zwijnaarde 71 9052 Ghent-Belgium Phone: +32(0)9 331 38 00 [ http://www.psb.vib-ugent.be/ | https://www.psb.ugent.be/ ]
