Juan J. Sánchez-Gil

ASVNet improves microbial community analysis by clustering 16S rRNA amplicon sequences into biologically relevant groups that better reflect actual organisms than traditional OTUs or ASVs.

The paper predicts next-season potato vigor based on seed tuber microbiome composition using a Random Forest model trained on microbiome and crop development data.

This study quantifies the rhizosphere effect along a soil-root gradient in Arabidopsis thaliana, showing microbial community convergence driven by selection and priority effects.