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Estimating Synonymous and Nonsynonymous Substitution Rates Under Realistic Evolutionary Models

Yang, Ziheng, Nielsen, Rasmus·2000·Molecular Biology and Evolution

Abstract

Approximate methods for estimating the numbers of synonymous and nonsynonymous substitutions between two DNA sequences involve three steps: counting of synonymous and nonsynonymous sites in the two sequences, counting of synonymous and nonsynonymous differences between the two sequences, and correcting for multiple substitutions at the same site. We examine complexities involved in those steps and propose a new approximate method that takes into account two major features of DNA sequence evolution: transition/transversion rate bias and base/codon frequency bias. We compare the new method with maximum likelihood, as well as several other approximate methods, by examining infinitely long sequences, performing computer simulations, and analyzing a real data set. The results suggest that when there are transition/transversion rate biases and base/codon frequency biases, previously described approximate methods for estimating the nonsynonymous/synonymous rate ratio may involve serious biases, and the bias can be both positive and negative. The new method is, in general, superior to earlier approximate methods and may be useful for analyzing large data sets, although maximum likelihood appears to always be the method of choice.

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Metadata

Authors
Yang, Z., & Nielsen, R.
Venue
Molecular Biology and Evolution
Published
2000-01-01
Volume
17
Issue
1
Pages
32-43
ISSN
  • 0737-4038 (ISSN-L)
  • 1537-1719
OpenAlex
W2115011276
Cited by
1,764
References
7
FWCI
10.14
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Estimating Synonymous and Nonsynonymous Substitution Rates Under Realistic Evolutionary Models. https://app.cochat.ai/papers/10.1093/oxfordjournals.molbev.a026236
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Yang, Z., & Nielsen, R. (2000). Estimating Synonymous and Nonsynonymous Substitution Rates Under Realistic Evolutionary Models. Molecular Biology and Evolution. https://doi.org/10.1093/oxfordjournals.molbev.a026236

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