Cited by 254Evolution and Genetic DynamicsPhilosophy and History of ScienceEvolutionary Algorithms and Applications

Redundancy, antiredundancy, and the robustness of genomes

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Krakauer, David C., Plotkin, Joshua B.·2002·Proceedings of the National Academy of Sciences

Abstract

Genetic mutations that lead to undetectable or minimal changes in phenotypes are said to reveal redundant functions. Redundancy is common among phenotypes of higher organisms that experience low mutation rates and small population sizes. Redundancy is less common among organisms with high mutation rates and large populations, or among the rapidly dividing cells of multicellular organisms. In these cases, one even observes the opposite tendency: a hypersensitivity to mutation, which we refer to as antiredundancy. In this paper we analyze the evolutionary dynamics of redundancy and antiredundancy. Assuming a cost of redundancy, we find that large populations will evolve antiredundant mechanisms for removing mutants and thereby bolster the robustness of wild-type genomes; whereas small populations will evolve redundancy to ensure that all individuals have a high chance of survival. We propose that antiredundancy is as important for developmental robustness as redundancy, and is an essential mechanism for ensuring tissue-level stability in complex multicellular organisms. We suggest that antiredundancy deserves greater attention in relation to cancer, mitochondrial disease, and virus infection.

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Authors
Krakauer, D. C., & Plotkin, J. B.
Affiliations
Santa Fe Institute (US)
Venue
Proceedings of the National Academy of Sciences
Published
2002-01-29
Volume
99
Issue
3
Pages
1405-1409
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1992973689
Cited by
254
References
55
Citations by year
2026: 1 · 2025: 9 · 2024: 6 · 2023: 8 · 2022: 12 · 2021: 12 · 2020: 4 · 2019: 8 · 2018: 5 · 2017: 5 · 2016: 13 · 2015: 6 · 2014: 9 · 2013: 8 · 2012: 7
FWCI
8.34
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Science Foundation
  • Burroughs Wellcome Fund
  • Alfred P. Sloan Foundation
  • Ambrose Monell Foundation
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
  • Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy and History of Science
  • Physical Sciences › Computer Science › Artificial Intelligence › Evolutionary Algorithms and Applications
Keywords
functional redundancy, mutation sensitivity, population size, developmental robustness, multicellular organisms, cancer, mitochondrial disease, viral infection, evolutionary dynamics
MeSH terms
Biological Evolution, Models, Genetic, Selection, Genetic, Genome

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