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Cited by 309

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

The evolution of gene collectives: How natural selection drives chemical innovation

Open access
Fischbach, Michael A., Walsh, Christopher T., Clardy, Jon·2008·Proceedings of the National Academy of Sciences

Abstract

DNA sequencing has become central to the study of evolution. Comparing the sequences of individual genes from a variety of organisms has revolutionized our understanding of how single genes evolve, but the challenge of analyzing polygenic phenotypes has complicated efforts to study how genes evolve when they are part of a group that functions collectively. We suggest that biosynthetic gene clusters from microbes are ideal candidates for the evolutionary study of gene collectives; these selfish genetic elements evolve rapidly, they usually comprise a complete pathway, and they have a phenotype—a small molecule—that is easy to identify and assay. Because these elements are transferred horizontally as well as vertically, they also provide an opportunity to study the effects of horizontal transmission on gene evolution. We discuss known examples to begin addressing two fundamental questions about the evolution of biosynthetic gene clusters: How do they propagate by horizontal transfer? How do they change to create new molecules?

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Metadata

Authors
Fischbach, M. A., Walsh, C. T., & Clardy, J.
Venue
Proceedings of the National Academy of Sciences
Published
2008-03-25
Volume
105
Issue
12
Pages
4601-4608
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2014874550
Cited by
309
References
6
FWCI
11.38
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The evolution of gene collectives: How natural selection drives chemical innovation. https://app.cochat.ai/papers/10.1073/pnas.0709132105
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Fischbach, M. A., Walsh, C. T., & Clardy, J. (2008). The evolution of gene collectives: How natural selection drives chemical innovation. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0709132105

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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