Environmental resistome–guided development of resistance-tolerant antibiotics

• Published in: Proceedings of the National Academy of Sciences - PNAS Vol. 122; no. 21; p. e2504781122
• Main Authors: Peek, James, Bhattacharjee, Abir, Burian, Ján, Hsieh, David Chun-Cheng, Hernandez, Yozen, Ternei, Melinda, Panfil, Cecilia, Brady, Sean F.
• Format: Journal Article
• Language: English
• Published: United States National Academy of Sciences 27.05.2025
• Subjects: Analogs; Anti-Bacterial Agents - chemistry; Anti-Bacterial Agents - pharmacology; Antibiotic resistance; Antibiotics; Bacteria - drug effects; Bacteria - genetics; Congeners; Drug Resistance, Bacterial - genetics; Lead compounds; Metagenome; Metagenomics; Metagenomics - methods; drug development; resistome; antibiotic resistance; metagenomics
• ISSN: 0027-8424; 1091-6490; 1091-6490
• DOI: 10.1073/pnas.2504781122

Failure to anticipate new forms of antibiotic resistance has led to resistance developing rapidly to virtually all antibiotics that have entered clinical use. Many of the most problematic types of resistance originated in the environment, where ancient arms races between antibiotic-producing microbes and their competitors have created vast arsenals of antibiotics and resistance. Seizing on the knowledge that resistance in nature is frequently a harbinger of future clinical resistance, we propose introducing an additional step into the antibiotic development process that exploits the susceptibility of development candidates to environmental resistance as a metric for prioritizing lead compounds and as a roadmap for their structural optimization. Using the antibiotic albicidin as a model, we show how the environmental resistome can guide the development of more resistance-tolerant leads. We used metagenomic surveys to identify resistance vulnerabilities for albicidin and guide the synthesis of analogs that evade the resistance threats. We found that natural albicidin analogs (congeners) were especially enriched in structural features that escape resistance, which inspired our syntheses and provided compelling evidence for the evolution of families of antibiotics in response to resistance in nature. The coupling of metagenomics-based resistance surveillance with structural optimizations of new antibiotics is a broadly applicable approach that is easily integrated into antibiotic development programs to generate compounds that are more resilient in the face of resistance.