File Download
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1038/s41467-018-05781-6
- Scopus: eid_2-s2.0-85051700818
- PMID: 30115920
- WOS: WOS:000441768300004
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Discovery of cationic nonribosomal peptides as Gram-negative antibiotics through global genome mining
Title | Discovery of cationic nonribosomal peptides as Gram-negative antibiotics through global genome mining |
---|---|
Authors | |
Issue Date | 2018 |
Citation | Nature Communications, 2018, v. 9, n. 1, article no. 3273 How to Cite? |
Abstract | © 2018, The Author(s). The worldwide prevalence of infections caused by antibiotic-resistant Gram-negative bacteria poses a serious threat to public health due to the limited therapeutic alternatives. Cationic peptides represent a large family of antibiotics and have attracted interest due to their diverse chemical structures and potential for combating drug-resistant Gram-negative pathogens. Here, we analyze 7395 bacterial genomes to investigate their capacity for biosynthesis of cationic nonribosomal peptides with activity against Gram-negative bacteria. Applying this approach, we identify two novel compounds (brevicidine and laterocidine) showing bactericidal activities against antibiotic-resistant Gram-negative pathogens, such as Pseudomonas aeruginosa and colistin-resistant Escherichia coli, and an apparently low risk of resistance. The two peptides show efficacy against E. coli in a mouse thigh infection model. These findings may contribute to the discovery and development of Gram-negative antibiotics. |
Persistent Identifier | http://hdl.handle.net/10722/273633 |
ISSN | 2023 Impact Factor: 14.7 2023 SCImago Journal Rankings: 4.887 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Li, Yong Xin | - |
dc.contributor.author | Zhong, Zheng | - |
dc.contributor.author | Zhang, Wei Peng | - |
dc.contributor.author | Qian, Pei Yuan | - |
dc.date.accessioned | 2019-08-12T09:56:12Z | - |
dc.date.available | 2019-08-12T09:56:12Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Nature Communications, 2018, v. 9, n. 1, article no. 3273 | - |
dc.identifier.issn | 2041-1723 | - |
dc.identifier.uri | http://hdl.handle.net/10722/273633 | - |
dc.description.abstract | © 2018, The Author(s). The worldwide prevalence of infections caused by antibiotic-resistant Gram-negative bacteria poses a serious threat to public health due to the limited therapeutic alternatives. Cationic peptides represent a large family of antibiotics and have attracted interest due to their diverse chemical structures and potential for combating drug-resistant Gram-negative pathogens. Here, we analyze 7395 bacterial genomes to investigate their capacity for biosynthesis of cationic nonribosomal peptides with activity against Gram-negative bacteria. Applying this approach, we identify two novel compounds (brevicidine and laterocidine) showing bactericidal activities against antibiotic-resistant Gram-negative pathogens, such as Pseudomonas aeruginosa and colistin-resistant Escherichia coli, and an apparently low risk of resistance. The two peptides show efficacy against E. coli in a mouse thigh infection model. These findings may contribute to the discovery and development of Gram-negative antibiotics. | - |
dc.language | eng | - |
dc.relation.ispartof | Nature Communications | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.title | Discovery of cationic nonribosomal peptides as Gram-negative antibiotics through global genome mining | - |
dc.type | Article | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1038/s41467-018-05781-6 | - |
dc.identifier.pmid | 30115920 | - |
dc.identifier.scopus | eid_2-s2.0-85051700818 | - |
dc.identifier.volume | 9 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | article no. 3273 | - |
dc.identifier.epage | article no. 3273 | - |
dc.identifier.isi | WOS:000441768300004 | - |
dc.identifier.f1000 | 733819077 | - |
dc.identifier.issnl | 2041-1723 | - |