The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Deletion of a mycobacterial divisome factor collapses single-cell phenotypic heterogeneity
Open accessAbstract
Microorganisms are often studied as populations but the behaviour of single, individual cells can have important consequences. For example, tuberculosis, caused by the bacterial pathogen Mycobacterium tuberculosis, requires months of antibiotic therapy even though the bulk of the bacterial population dies rapidly. Shorter courses lead to high rates of relapse because subpopulations of bacilli can survive despite being genetically identical to those that are easily killed. In fact, mycobacteria create variability each time a cell divides, producing daughter cells with different sizes and growth rates. The mechanism(s) that underlie this high-frequency variation and how variability relates to survival of the population are unknown. Here we show that mycobacteria actively create heterogeneity. Using a fluorescent reporter and a fluorescence-activated cell sorting (FACS)-based transposon screen, we find that deletion of lamA, a gene of previously unknown function, decreases heterogeneity in the population by decreasing asymmetric polar growth. LamA has no known homologues in other organisms, but is highly conserved across mycobacterial species. We find that LamA is a member of the mycobacterial division complex (the 'divisome'). It inhibits growth at nascent new poles, creating asymmetry in polar growth. The kinetics of killing individual cells that lack lamA are more uniform and more rapid with rifampicin and drugs that target the cell wall. Our results show that mycobacteria encode a non-conserved protein that controls the pattern of cell growth, resulting in a population that is both heterogeneous and better able to survive antibiotic pressure.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Strikingly, asymmetric division is an actively regulated process, not the result of random septal placement; a mutant of M. smegmatis lacking lamA elongates and divides symmetrically (124).”
From Mycobacterium smegmatis: The Vanguard of Mycobacterial Research (2023) · cites this paper as [124]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“LamA localizes to the septum, where it interacts with the PBP PonA1 and inhibits growth at the developing new pole.”
From The mycobacterial cell envelope — a moving target (2020) · cites this paper as [40]
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
Bacterial Persistence as a Phenotypic Switch
Balaban, N. Q., Merrin, J., Chait, R., Kowalik, L., & Leibler, S. (2004) · Science · doi:10.1126/science.1099390 · Cited by 2,952
Distinguishing between resistance, tolerance and persistence to antibiotic treatment
Brauner, A., Fridman, O., Gefen, O., & Balaban, N. Q. (2016) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2016.34 · Cited by 1,612
Cell-Size Control and Homeostasis in Bacteria
Taheri-Araghi, S., Bradde, S., Sauls, J. T., Hill, N. S., Levin, P. A., Paulsson, J., Vergassola, M., & Jun, S. (2014) · Current Biology · doi:10.1016/j.cub.2014.12.009 · Cited by 715
Recombineering in Mycobacterium tuberculosis
van Kessel, J. C., & Hatfull, G. F. (2006) · Nature Methods · doi:10.1038/nmeth996 · Cited by 586
Dynamic Persistence of Antibiotic-Stressed Mycobacteria
Wakamoto, Y., Dhar, N., Chait, R., Schneider, K., Signorino‐Gelo, F., Leibler, S., & McKinney, J. D. (2013) · Science · doi:10.1126/science.1229858 · Cited by 536
A Constant Size Extension Drives Bacterial Cell Size Homeostasis
Campos, M., Surovtsev, I. V., Kato, S., Paintdakhi, A., Beltran, B. G., Ebmeier, S., & Jacobs, C. (2014) · Cell · doi:10.1016/j.cell.2014.11.022 · Cited by 475
Asymmetry and Aging of Mycobacterial Cells Lead to Variable Growth and Antibiotic Susceptibility
Aldridge, B. B., Fernandez-Suarez, M., Heller, D., Ambravaneswaran, V., Irimia, D., Toner, M., & Fortune, S. M. (2012) · Science · doi:10.1126/science.1216166 · Cited by 454
In vivo transposition of mariner -based elements in enteric bacteria and mycobacteria
Rubin, E. J., Akerley, B. J., Novik, V., Lampe, D. J., Husson, R. N., & Mekalanos, J. J. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.4.1645 · Cited by 358
Self-citationRole of individual drugs in the chemotherapy of tuberculosis.
Mitchison, D. A. (2000) · PubMed · Cited by 314
Cited by
Sorted by citations
Anti-tuberculosis treatment strategies and drug development: challenges and priorities
Dartois, V. A., & Rubin, E. J. (2022) · Nature Reviews Microbiology · doi:10.1038/s41579-022-00731-y · Cited by 490
Self-citationImmunometabolism at the interface between macrophages and pathogens
Russell, D. G., Huang, L., & VanderVen, B. C. (2019) · Nature reviews. Immunology · doi:10.1038/s41577-019-0124-9 · Cited by 470
The mycobacterial cell envelope — a moving target
Dulberger, C. L., Rubin, E. J., & Boutte, C. C. (2020) · Nature Reviews Microbiology · doi:10.1038/s41579-019-0273-7 · Cited by 365
Self-citationA decade of advances in transposon-insertion sequencing
Cain, A. K., Barquist, L., Goodman, A. L., Paulsen, I. T., Parkhill, J., & van Opijnen, T. (2020) · Nature Reviews Genetics · doi:10.1038/s41576-020-0244-x · Cited by 397
The causes of evolvability and their evolution
Payne, J. L., & Wagner, A. (2018) · Nature Reviews Genetics · doi:10.1038/s41576-018-0069-z · Cited by 392
Metadata
- Authors
- Rego, E. H., Audette, R. E., & Rubin, E. J.
- Affiliations
- Harvard University (US)
- Corresponding author
- Rego, E. Hesper
- Rubin, Eric J.
- Venue
- Nature
- Published
- 2017-05-31
- Volume
- 546
- Issue
- 7656
- Pages
- 153-157
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC5567998
- OpenAlex
- W2617852583
- Cited by
- 186
- References
- 22
- Citations by year
- 2026: 14 · 2025: 15 · 2024: 18 · 2023: 16 · 2022: 23 · 2021: 16 · 2020: 25 · 2019: 22 · 2018: 30 · 2017: 7
- FWCI
- 17.68
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Institute of Allergy and Infectious Diseases (U19AI107774, F32AI104287)
- Topics
- Health Sciences › Medicine › Infectious Diseases › Tuberculosis Research and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Health Sciences › Medicine › Epidemiology › Mycobacterium research and diagnosis
- Keywords
- lamas, divisome, Mycobacterium tuberculosis, cell wall synthesis inhibition, cell division, phenotypic heterogeneity, antibiotic tolerance, rifampicin, tuberculosis drug targets, single-cell heterogeneity
- MeSH terms
- Anti-Bacterial Agents, Bacterial Proteins, Cell Division, Cell Wall, DNA Mutational Analysis, Flow Cytometry, Fluoresceins, Phenotype, Rifampin, Reproducibility of Results, Cell Polarity, Gene Deletion, Mycobacterium smegmatis, Microbial Viability, Single-Cell Analysis
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