The co-occurrence network patterns and keystone species of microbial communities in cattle manure-corn straw composting

Microbes often form complex ecological networks in various habitats. Co-occurrence network analysis allows exploring the complex community interactions beyond the community diversities. This study explores the interspecific relationships within and between bacterial and fungal communities during composting of cow manure using co-occurrence network analysis. Furthermore, the keystone taxa that potentially exert a considerable impact on the microbiome were revealed by network analysis. The networks in the present study harbored more positive links. Specifically, the interactions/coupling within bacterial communities was tighter and the response to changes in external environmental conditions was more quickly during the composting process, while the fungal network had a better buffer capacity for changes in external environmental conditions. Interestingly, this result was authenticated in the bacterial-fungal (BF) network and the Mantel test of major modules and environmental variables. More than that, the Zi-Pi plot revealed that the keystone taxa including module hubs and connectors were all detected in these networks, which could prevent the dissociation of modules and networks.

Automated summary

This study used co-occurrence network analysis to explore the interspecific relationships within and between bacterial and fungal communities during composting of cow manure. The findings showed that the interactions within bacterial communities were tighter and more responsive to environmental changes, while the fungal network had a better buffer capacity. The detection of keystone taxa validated the connectivity of modules and networks.