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Cited by 330

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

The Organization of the Bacterial Genome

Rocha, Eduardo P.C.·2008·Annual Review of Genetics

Abstract

Many bacterial cellular processes interact intimately with the chromosome. Such interplay is the major driving force of genome structure or organization. Interactions take place at different scales—local for gene expression, global for replication—and lead to the differentiation of the chromosome into organizational units such as operons, replichores, or macrodomains. These processes are intermingled in the cell and create complex higher-level organizational features that are adaptive because they favor the interplay between the processes. The surprising result of selection for genome organization is that gene repertoires change much more quickly than chromosomal structure. Comparative genomics and experimental genomic manipulations are untangling the different cellular and evolutionary mechanisms causing such resilience to change. Since organization results from cellular processes, a better understanding of chromosome organization will help unravel the underlying cellular processes and their diversity.

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Crossref · 10.1146/annurev.genet.42.110807.091653

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Metadata

Authors
Rocha, E. P. C.
Venue
Annual Review of Genetics
Published
2008-12-01
Volume
42
Issue
1
Pages
211-233
ISSN
  • 0066-4197 (ISSN-L)
  • 1545-2948
OpenAlex
W2137119243
Cited by
330
References
11
FWCI
1.55
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Organization of the Bacterial Genome. https://app.cochat.ai/papers/10.1146/annurev.genet.42.110807.091653
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Rocha, E. P. C. (2008). The Organization of the Bacterial Genome. Annual Review of Genetics. https://doi.org/10.1146/annurev.genet.42.110807.091653

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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.