Fig. 3

An integrated analysis of microbial community interactions between Streptomyces and SynCom, highlighting their impact on biocontrol efficiency. a Co-occurrence network analysis for rhizosphere samples from 12 Streptomyces strains and SynCom, showing specific interactions, particularly between CSC13, Streptomyces, and CSC98. The node of Streptomyces represents 12 strains of Streptomyces. Nodes are color-coded by module (green and purple) and sized by their network degree (target members in red). Red edges denote synergistic interactions, while blue edges indicate antagonistic effects. b Correlation analysis between the relative abundance of CSC98 and pathogen density, with a black line showing linear regression and 95% confidence intervals (n = 52, P < 0.001). c Analysis of the correlation between the relative abundance of CSC98 and biocontrol efficiency, with regression lines as described (n = 52, P < 0.001). d Correlation analysis between the relative abundance of CSC13 and pathogen density. e Analysis of the correlation between the relative abundance of CSC13 and biocontrol efficiency. Each point was color-coded to indicate pathogen suppression efficiency. The different colors of the nodes (from red to blue) represent low to high biocontrol efficiency (BE) for each treatment. All regressions were fitted using the lm function