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Cited by 381

The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.

Generation of multiple cell types in Bacillus subtilis

Open access
Lopez, Daniel, Vlamakis, Hera, Kolter, Roberto·2009·FEMS Microbiology Reviews

Abstract

Bacillus subtilis is a Gram-positive bacterium that is well known for its ability to differentiate into metabolically inactive spores that are highly resistant to environmental stresses. In fact, populations of genetically identical B. subtilis comprise numerous distinct cell types. In addition to spores, cells can become genetically competent, motile, produce extracellular matrix or degradative enzymes, or secrete toxins that allow them to cannibalize their neighbors. Many of the cell fates listed above appear to be mutually exclusive. In this review, we discuss how individual cells within a population control their gene expression to ensure that proper regulation of differentiation occurs. These different cell fates are regulated by an intricate network that relies primarily on the activity of three major transcriptional regulators: Spo0A, DegU, and ComK. While individual cells must choose distinct cell fates, the population as a whole exhibits a spectrum of phenotypes whose diversity may increase fitness.

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Crossref · 10.1111/j.1574-6976.2008.00148.x

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Metadata

Authors
Lopez, D., Vlamakis, H., & Kolter, R.
Venue
FEMS Microbiology Reviews
Published
2009-01
Volume
33
Issue
1
Pages
152-163
ISSN
  • 0168-6445 (ISSN-L)
  • 1574-6976
OpenAlex
W1991642577
Cited by
381
References
66
FWCI
8.44
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Generation of multiple cell types in Bacillus subtilis. https://app.cochat.ai/papers/10.1111/j.1574-6976.2008.00148.x
The paper
Lopez, D., Vlamakis, H., & Kolter, R. (2009). Generation of multiple cell types in Bacillus subtilis. FEMS Microbiology Reviews. https://doi.org/10.1111/j.1574-6976.2008.00148.x

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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.