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The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Pervasive and Persistent Redundancy among Duplicated Genes in Yeast

Open access
Dean, E. Jedediah, Davis, Jerel C., Davis, Ronald W., Petrov, Dmitri A.·2008·PLoS Genetics

Abstract

The loss of functional redundancy is the key process in the evolution of duplicated genes. Here we systematically assess the extent of functional redundancy among a large set of duplicated genes in Saccharomyces cerevisiae. We quantify growth rate in rich medium for a large number of S. cerevisiae strains that carry single and double deletions of duplicated and singleton genes. We demonstrate that duplicated genes can maintain substantial redundancy for extensive periods of time following duplication ( approximately 100 million years). We find high levels of redundancy among genes duplicated both via the whole genome duplication and via smaller scale duplications. Further, we see no evidence that two duplicated genes together contribute to fitness in rich medium substantially beyond that of their ancestral progenitor gene. We argue that duplicate genes do not often evolve to behave like singleton genes even after very long periods of time.

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Crossref · 10.1371/journal.pgen.1000113

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Metadata

Authors
Dean, E. J., Davis, J. C., Davis, R. W., & Petrov, D. A.
Venue
PLoS Genetics
Published
2008-07-04
Volume
4
Issue
7
Pages
e1000113
ISSN
  • 1553-7390 (ISSN-L)
  • 1553-7404
OpenAlex
W1999880514
Cited by
175
References
5
FWCI
6.15
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Pervasive and Persistent Redundancy among Duplicated Genes in Yeast. https://app.cochat.ai/papers/10.1371/journal.pgen.1000113
The paper
Dean, E. J., Davis, J. C., Davis, R. W., & Petrov, D. A. (2008). Pervasive and Persistent Redundancy among Duplicated Genes in Yeast. PLoS Genetics. https://doi.org/10.1371/journal.pgen.1000113

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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.