Cited by 195Evolution and Genetic DynamicsEvolution and Paleontology StudiesGenomics and Phylogenetic Studies

On the rate of molecular evolution

Kimura, Motoo, Ohta, Tomoko·1971·Journal of Molecular Evolution

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Crossref · 10.1007/bf01659390

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  • Kimura and Ohta explained the constant characteristic rate for each protein by suggesting that most amino-acid changes in a protein were effectively neutral.

    “Motoo Kimura and Tomoko Ohta 4 explained the constant characteristic rate for each protein by suggesting that most amino-acid changes in a protein were effectively neutral - that is, changing the amino-acid sequence had no influence on the fitness of an organism and,therefore, the rate of change was not affected by natural selection.”

    From The modern molecular clock (2003) · cites this paper as [4]

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References 48 · Cited by 195

Authors
Kimura, M., & Ohta, T.
Affiliations
National Institute of Genetics (JP)
Venue
Journal of Molecular Evolution
Published
1971-03
Volume
1
Issue
1
Pages
1-17
ISSN
  • 0022-2844 (ISSN-L)
  • 1432-1432
OpenAlex
W1974647439
Cited by
195
References
48
Citations by year
2026: 8 · 2025: 5 · 2024: 9 · 2023: 17 · 2022: 6 · 2021: 5 · 2020: 3 · 2019: 6 · 2018: 3 · 2017: 3 · 2016: 3 · 2015: 2 · 2014: 4 · 2013: 6 · 2012: 3
FWCI
10.31
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Molecular Evolution (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
  • Physical Sciences › Earth and Planetary Sciences › Paleontology › Evolution and Paleontology Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
Keywords
molecular evolution rate, substitution rate, mutation rate, effective population size, natural selection, amino acid substitutions, protein evolution, living fossils, population dynamics
MeSH terms
Amino Acid Sequence, Biological Evolution, Gene Frequency, Genes, Genetics, Population, Models, Biological, Mutation

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