Abstract

Abstract Clostridioides difficile infection (CDI) is a major cause of healthcare- and antibiotic-associated diarrhea. While fecal microbiota transplantation (FMT) shows promise for recurrent CDI, its mechanisms and long-term safety are not fully understood. Live biotherapeutic products (LBPs) using pre-defined bacterial consortia offer an alternative option, but the rational designing LBPs remains challenging. Here, we employ a computational pipeline and three metagenomic datasets to identify microbial strains for LBPs targeting CDI. We constructed the CDI-related microbial genome catalog, comprising 3,741 non-redundant metagenome-assembled genomes (nrMAGs) and identified multiple potential protective nrMAGs, including strains from Dorea formicigenerans, Oscillibacter welbionis, and Faecalibacterium prausnitzii. Importantly, some of these protective nrMAGs were found to play an important role in FMT success, and most top protective nrMAGs can be validated by various previous findings. Our results demonstrate a framework for selecting microbial strains targeting CDI, paving the way for the computational design of LBPs against other enteric infections.