Conjugative type IV secretion systems enable bacterial antagonism that operates independently of plasmid transfer.

Bacterial cooperation and antagonism mediated by secretion systems are among the ways in which bacteria interact with one another. Here we report the discovery of an antagonistic property of a type IV secretion system (T4SS) sourced from a conjugative plasmid, RP4, using engineering approaches. We scrutinized the genetic determinants and suggested that this antagonistic activity is independent of molecular cargos, while we also elucidated the resistance genes. We further showed that a range of Gram-negative bacteria and a mixed bacterial population can be eliminated by this T4SS-dependent antagonism. Finally, we showed that such an antagonistic property is not limited to T4SS sourced from RP4, rather it can also be observed in a T4SS originated from another conjugative plasmid, namely R388. Our results are the first demonstration of conjugative T4SS-dependent antagonism between Gram-negative bacteria on the genetic level and provide the foundation for future mechanistic studies.

Identification of Gut Bacterial Enzymes for Keto-Reductive Metabolism of Xenobiotics.

Human gastrointestinal microbiota are known for the keto-reductive metabolism of small-molecule pharmaceuticals; however, the responsible enzymes remain poorly understood. Through in vitro biochemical assays, we report the identification of enzymes encoded in the genome of Clostridium bolteae that can reduce the ketone groups of nabumetone, hydrocortisone, and tacrolimus. The homologues to a newly identified enzyme (i.e., DesE) are potentially widely distributed in the gut microbiome. The selected enzymes display different levels of activities against additional chemicals such as two dietary compounds (i.e., raspberry ketone and zingerone), chemotherapeutic drug doxorubicin, and its aglycone metabolite doxorubicinone. Thus, our results expand the repertoire of enzymes that can reduce the ketone groups in small molecules and could serve as the basis for future personalized medicine approaches.