Small and Equipped: the Rich Repertoire of Antibiotic Resistance Genes in Candidate Phyla Radiation Genomes

Microbes belonging to Candidate Phyla Radiation (CPR) have joined the tree of life as a new branch, thanks to the intensive application of metagenomics and sequencing technologies. CPR have been eventually identified by 16S rRNA analysis, and they represent more than 26% of microbial diversity. Despite their ultrasmall size, reduced genome, and metabolic pathways which mainly depend on exosymbiotic or exoparasitic relationships with the bacterial host, CPR microbes were found to be abundant in almost all environments. They can be considered survivors in highly competitive circumstances within microbial communities. However, their defense mechanisms and phenotypic characteristic remain poorly explored. Here, we conducted a thorough in silico analysis on 4,062 CPR genomes to search for antibiotic resistance (AR)-like enzymes using BLASTp and functional domain predictions against an exhaustive consensus AR database and conserved domain database (CDD), respectively. Our findings showed that a rich reservoir of divergent AR-like genes (n = 30,545 hits, mean = 7.5 hits/genome [0 to 41]) were distributed across the 13 CPR superphyla. These AR-like genes encode 89 different enzymes that are associated with 14 different chemical classes of antimicrobials. Most hits found (93.6%) were linked to glycopeptide, beta-lactam, macrolide-lincosamide-streptogramin (MLS), tetracycline, and aminoglycoside resistance. Moreover, two AR profiles were discerned for the Microgenomates group and “Candidatus Parcubacteria,” which were distinct between them and differed from all other CPR superphyla. CPR cells seem to be active players during microbial competitive interactions; they are well equipped for microbial combat in different habitats, which ensures their natural survival and continued existence. IMPORTANCE To our knowledge, this study is one of the few studies that characterize the defense systems in the CPR group and describes the first repertoire of antibiotic resistance (AR) genes. The use of a BLAST approach with lenient criteria followed by a careful examination of the functional domains has yielded a variety of enzymes that mainly give three different mechanisms of action of resistance. Our genome analysis showed the existence of a rich reservoir of CPR resistome, which is associated with different antibiotic families. Moreover, this analysis revealed the hidden face of the reduced-genome CPR, particularly their weaponry with AR genes. These data suggest that CPR are competitive players in the microbial war, and they can be distinguished by specific AR profiles.