Insights into the association of health with eukaryotic microbial community and environmental factors.

As an important cash crop, yield and quality are influenced by various factors, yet the correlations between its health status, microbial community, and environmental factors remain largely unexplored. In this study, we analyzed the microbial diversity of rhizosphere microbiomes using ITS rDNA sequencing under different conditions. Compared with soil associated with healthy , the alpha and beta diversity of the eukaryotic microbial community decreased in soil with diseased , indicating a decline in microbial abundance and composition. Compared with healthy soil, the eukaryotic microbial community in diseased soil exhibited looser structural networks, with the assembly process of both communities predominantly governed by stochastic processes. Soil element measurements and correlation analyses identified pH, manganese, and copper as key environmental factors associated with the health status of A machine learning model incorporating environmental factors and major microbial phyla was developed to predict health status, achieving a high accuracy of 93%. These findings collectively offer comprehensive insights into the relationship between health status, soil conditions, environmental factors, and eukaryotic microbial community.