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Biology subjects

Yang, Z. J.

Publications and source records attributed to Yang, Z. J..

2 recordsLinked to original sources

Iron acquisition by a commensal bacterium modifies host nutritional immunity during Salmonella infection

During intestinal inflammation, host nutritional immunity starves microbes of essential micronutrients such as iron. Pathogens scavenge iron using siderophores, which is counteracted by the host using lipocalin-2, a protein that sequesters iron-laden siderophores, including enterobactin. Although the host and pathogens compete for iron in the presence of gut commensal bacteria, the roles of commensals in nutritional immunity involving iron remain unexplored. Here, we report that the gut commensal Bacteroides thetaiotaomicron acquires iron in the inflamed gut by utilizing siderophores produced by other bacteria including Salmonella, via a secreted siderophore-binding lipoprotein termed XusB. Notably, XusB-bound siderophores are less accessible to host sequestration by lipocalin-2 but can be "re-acquired" by Salmonella, allowing the pathogen to evade nutritional immunity. As the host and pathogen have been the focus of studies of nutritional immunity, this work adds commensal iron metabolism as a previously unrecognized mechanism modulating the interactions between pathogen and host nutritional immunity.

microbiology↗

A High-Throughput Screen Reveals the Structure-Activity Relationship of the Antimicrobial Lasso Peptide Ubonodin

The Burkholderia cepacia complex (Bcc) is a group of bacteria including several opportunistic human pathogens. Immunocompromised individuals and cystic fibrosis patients are especially vulnerable to serious infections by these bacteria, motivating the search for compounds with antimicrobial activity against the Bcc. The natural product ubonodin is a lasso peptide with promising activity against several Bcc species, working by inhibiting RNA polymerase in susceptible bacteria. In this study, we developed a high-throughput screen using next-generation sequencing to examine the fitness of a library of over 90,000 ubonodin variants, generating the most comprehensive dataset on lasso peptide activity so far. This screen revealed information regarding the structure-activity relationship of ubonodin over a large sequence space, indicating certain residues that can tolerate amino acid substitutions and still retain activity. Remarkably, the screen identified one variant with not only improved activity compared to wild-type ubonodin but also a sub-micromolar minimum inhibitory concentration (MIC) against a clinical isolate of the Bcc member Burkholderia cenocepacia. Ubonodin and several of the variants identified in this study had a lower MIC against certain Bcc strains than many clinically approved antibiotics. Finally, the large library size enabled us to develop DeepLasso, a deep learning model that can predict the RNAP inhibitory activity of an ubonodin variant.

biochemistry↗