期刊
CELL
卷 158, 期 2, 页码 412-421出版社
CELL PRESS
DOI: 10.1016/j.cell.2014.06.034
关键词
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资金
- HHMI Predoctoral Fellowship
- Boehringer Ingelheim Fonds
- GenBiotics programme of the Dutch Technology Foundation STW [10463]
- NIH [TW006634, OD007290, AI101018, AI101722, GM081879]
- James and Eleanor Delfino Charitable Trust
- Medical Research Program Grant from the W.M. Keck Foundation
- David and Lucile Packard Foundation
- DARPA [HR0011-12-C-0067]
- National Institute of Allergy and Infectious Diseases, NIH, Department of Health and Human Services [HHSN272200900018C]
Although biosynthetic gene clusters (BGCs) have been discovered for hundreds of bacterial metabolites, our knowledge of their diversity remains limited. Here, we used a novel algorithm to systematically identify BGCs in the extensive extant microbial sequencing data. Network analysis of the predicted BGCs revealed large gene cluster families, the vast majority uncharacterized. We experimentally characterized the most prominent family, consisting of two subfamilies of hundreds of BGCs distributed throughout the Proteobacteria; their products are aryl polyenes, lipids with an aryl head group conjugated to a polyene tail. We identified a distant relationship to a third subfamily of aryl polyene BGCs, and together the three subfamilies represent the largest known family of biosynthetic gene clusters, with more than 1,000 members. Although these clusters are widely divergent in sequence, their small molecule products are remarkably conserved, indicating for the first time the important roles these compounds play in Gram-negative cell biology.
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