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Cited by 166

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Theory of prokaryotic genome evolution

Open access
Sela, Itamar, Wolf, Yuri I., Koonin, Eugene V.·2016·Proceedings of the National Academy of Sciences

Abstract

Significance: Bacteria and archaea have small genomes with tightly packed protein-coding genes. Typically, this genome architecture is explained by “genome streamlining” (minimization) under selection for high replication rate. We developed a mathematical model of microbial evolution and tested it against extensive data from multiple genome comparisons to identify the key evolutionary forces. The results indicate that genome evolution is not governed by streamlining but rather, reflects the balance between the benefit of additional genes that diminishes with the genome size and the intrinsic preference for DNA deletion over acquisition. These results explain the observation that, in an apparent contradiction with the population genetic theory, microbes with large genomes reach higher abundance and are subject to stronger selection than small “streamlined” genomes.

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Crossref · 10.1073/pnas.1614083113

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Metadata

Authors
Sela, I., Wolf, Y. I., & Koonin, E. V.
Venue
Proceedings of the National Academy of Sciences
Published
2016-10-04
Volume
113
Issue
41
Pages
11399-11407
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2529635913
Cited by
166
References
6
FWCI
9.05
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Theory of prokaryotic genome evolution. https://app.cochat.ai/papers/10.1073/pnas.1614083113
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Sela, I., Wolf, Y. I., & Koonin, E. V. (2016). Theory of prokaryotic genome evolution. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1614083113

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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.