Back

Non-target impacts of fungicide disturbance on phyllosphere yeasts in different crop species and management systems

Noel, Z. A.; Longley, R.; Benucci, G. M.; Trail, F.; Chilvers, M. I.; Bonito, G. M.

2021-09-21 microbiology
10.1101/2021.09.20.461135 bioRxiv
Show abstract

O_LIFungicides reduce fungal pathogen populations and are essential to food security. Fungicide disturbance of plant microbiomes has received limited attention. Understanding the impacts of fungicides on crop microbiomes in different cropping systems is vital to minimizing unintended consequences while maintaining their use for plant protection. C_LIO_LIWe used amplicon sequencing of fungi and prokaryotes in maize and soybean microbiomes before and after foliar fungicide application in leaves and roots from plots under long-term no-till and conventional tillage managements. We examine fungicide disturbance and microbiome resilience across these treatments. C_LIO_LIFoliar fungicides directly affected phyllosphere fungal communities, but not root fungal communities or prokaryote communities. Impacts on fungal phyllosphere composition and resiliency were management-dependent and lasted more than thirty days. Fungicides lowered pathogen abundance in maize and soybean and decreased the abundance of Tremellomycetes yeasts, especially the Bulleribacidiaceae, including core microbiome members. C_LIO_LIFungicide application reduced network complexity in the soybean phyllosphere. Bulleribacidiaceae often co-occurred with Sphingomonas and Hymenobacter in control plots, but co-occurrences were altered in fungicide plots. Results indicate that foliar fungicides lower pathogen and non-target fungal abundance and may impact prokaryotes indirectly. No-till management was more resilient following fungicide disturbance and recovery. C_LI

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.