The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
A new antibiotic selectively kills Gram-negative pathogens
Open accessAbstract
The current need for novel antibiotics is especially acute for drug-resistant Gram-negative pathogens1,2. These microorganisms have a highly restrictive permeability barrier, which limits the penetration of most compounds3,4. As a result, the last class of antibiotics that acted against Gram-negative bacteria was developed in the 1960s2. We reason that useful compounds can be found in bacteria that share similar requirements for antibiotics with humans, and focus on Photorhabdus symbionts of entomopathogenic nematode microbiomes. Here we report a new antibiotic that we name darobactin, which was obtained using a screen of Photorhabdus isolates. Darobactin is coded by a silent operon with little production under laboratory conditions, and is ribosomally synthesized. Darobactin has an unusual structure with two fused rings that form post-translationally. The compound is active against important Gram-negative pathogens both in vitro and in animal models of infection. Mutants that are resistant to darobactin map to BamA, an essential chaperone and translocator that folds outer membrane proteins. Our study suggests that bacterial symbionts of animals contain antibiotics that are particularly suitable for development into therapeutics. Bacterial symbionts of animals may contain antibiotics that are particularly suitable for development into therapeutics; one such compound, darobactin, is active against important Gram-negative pathogens both in vitro and in animal models of infection.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Fiji: an open-source platform for biological-image analysis
Schindelin, J., Arganda-Carreras, I., Frise, E., Kaynig, V., Longair, M., Pietzsch, T., Preibisch, S., Rueden, C., Saalfeld, S., Schmid, B., et al. (2012) · Nature Methods · doi:10.1038/nmeth.2019 · Cited by 66,890
Robinson, M. D., McCarthy, D. J., & Smyth, G. K. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp616 · Cited by 41,364
One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products
Datsenko, K. A., & Wanner, B. L. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.120163297 · Cited by 14,782
Tacconelli, E., Carrara, E., Savoldi, A., Harbarth, S., Mendelson, M., Monnet, D. L., Pulcini, C., Kahlmeter, G., Kluytmans, J., Carmeli, Y., et al. (2018) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(17)30753-3 · Cited by 6,142
Drugs for bad bugs: confronting the challenges of antibacterial discovery
Payne, D. J., Gwynn, M. N., Holmes, D. J., & Pompliano, D. L. (2007) · Nature Reviews Drug Discovery · doi:10.1038/nrd2201 · Cited by 2,512
A new antibiotic kills pathogens without detectable resistance
Ling, L. L., Schneider, T., Peoples, A. J., Spoering, A. L., Engels, I., Conlon, B. P., Mueller, A., Schäberle, T. F., Hughes, D. E., Epstein, S., et al. (2015) · Nature · doi:10.1038/nature14098 · Cited by 2,428
Self-citationAntibacterial drug discovery in the resistance era
Brown, E. D., & Wright, G. D. (2016) · Nature · doi:10.1038/nature17042 · Cited by 2,247
Single-pot, solid-phase-enhanced sample preparation for proteomics experiments
Hughes, C. S., Moggridge, S., Müller, T., Sorensen, P. H., Morin, G. B., & Krijgsveld, J. (2019) · Nature Protocols · doi:10.1038/s41596-018-0082-x · Cited by 1,941
Lloyd-Price, J., Abu-Ali, G., & Huttenhower, C. (2016) · Genome Medicine · doi:10.1186/s13073-016-0307-y · Cited by 1,891
Antibiotics, birth mode, and diet shape microbiome maturation during early life
Bokulich, N. A., Chung, J., Battaglia, T., Henderson, N., Jay, M., Li, H., D. Lieber, A., Wu, F., Perez-Perez, G. I., Chen, Y., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aad7121 · Cited by 1,469
Cited by
Towards the sustainable discovery and development of new antibiotics
Miethke, M., Pieroni, M., Weber, T., Brönstrup, M., Hammann, P., Halby, L., Arimondo, P. B., Glaser, P., Aigle, B., Bode, H. B., et al. (2021) · Nature Reviews Chemistry · doi:10.1038/s41570-021-00313-1 · Cited by 1,151
Antibiotic resistance and persistence—implications for human health and treatment perspectives
Huemer, M., Mairpady Shambat, S., Brugger, S. D., & Zinkernagel, A. S. (2020) · The EMBO Reports · doi:10.15252/embr.202051034 · Cited by 850
New developments in RiPP discovery, enzymology and engineering
Montalbán-López, M., Scott, T. A., Ramesh, S., Rahman, I. R., van Heel, A. J., Viel, J. H., Bandarian, V., Dittmann, E., Genilloud, O., Goto, Y., et al. (2021) · Natural Product Reports · doi:10.1039/d0np00027b · Cited by 787
Discovery of a structural class of antibiotics with explainable deep learning
Wong, F., Zheng, E. J., Valeri, J. A., Donghia, N. M., Anahtar, M. N., Omori, S., Li, A., Cubillos-Ruiz, A., Krishnan, A., Jin, W., et al. (2024) · Nature · doi:10.1038/s41586-023-06887-8 · Cited by 458
Balasubramaniam, B., Prateek, Ranjan, S., Saraf, M., Kar, P., Singh, S. P., Thakur, V. K., Singh, A., & Gupta, R. K. (2021) · ACS Pharmacology & Translational Science · doi:10.1021/acsptsci.0c00174 · Cited by 285
Metadata
- Authors
- Imai, Y., Meyer, K. J., Iinishi, A., Favre-Godal, Q., Green, R., Manuse, S., Caboni, M., Mori, M., Niles, S., Ghiglieri, M., Honrao, C., Ma, X., Guo, J. J., Makriyannis, A., Linares-Otoya, L., Böhringer, N., Wuisan, Z. G., Kaur, H., Wu, R., Mateus, A., Typas, A., Savitski, M. M., Espinoza, J. L., O’Rourke, A., Nelson, K. E., Hiller, S., Noinaj, N., Schäberle, T. F., D’Onofrio, A., & Lewis, K.
- Venue
- Nature
- Published
- 2019-11-20
- Volume
- 576
- Issue
- 7787
- Pages
- 459-464
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2989562929
- Cited by
- 743
- References
- 59
- FWCI
- 41.51
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A new antibiotic selectively kills Gram-negative pathogens. https://app.cochat.ai/papers/10.1038/s41586-019-1791-1
- The paper
- Imai, Y., Meyer, K. J., Iinishi, A., Favre-Godal, Q., Green, R., Manuse, S., Caboni, M., Mori, M., Niles, S., Ghiglieri, M., Honrao, C., Ma, X., Guo, J. J., Makriyannis, A., Linares-Otoya, L., Böhringer, N., Wuisan, Z. G., Kaur, H., Wu, R., . . . Lewis, K. (2019). A new antibiotic selectively kills Gram-negative pathogens. Nature. https://doi.org/10.1038/s41586-019-1791-1
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.