Abstract
Synonymous mutations are coding mutations that do not alter protein sequences. Commonly thought to have little to no functional consequence, synonymous mutations have been widely used in evolutionary analyses that require neutral markers, including those foundational for the neutral theory. However, recent studies suggest that synonymous mutations can influence nearly every step in the expression of genetic information and may often be strongly non-neutral. We review the extent and mechanisms of these phenotypic and fitness effects and discuss the implications of the functionality and non-neutrality of synonymous mutations for various analyses and conclusions pertinent to genetics, evolution, conservation and disease.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$32.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to the full article PDF.
USD 39.95
Prices may be subject to local taxes which are calculated during checkout



Similar content being viewed by others
References
Agashe, D. in Single Nucleotide Polymorphisms (eds Sauna, Z. E. & Kimchi-Sarfaty, C.) 15–36 (Springer, 2022).
Kimura, M. The Neutral Theory of Molecular Evolution (Cambridge Univ. Press, 1983).
Zhang, J. in Evolution Since Darwin: The First 150 Years (eds Bell, M. A. et al.) 87–118 (Sinauer, 2010).
Fiers, W. et al. A-protein gene of bacteriophage MS2. Nature 256, 273–278 (1975).
Air, G. M. et al. Gene F of bacteriophage X174. Correlation of nucleotide sequences from the DNA and amino acid sequences from the gene product. J. Mol. Biol. 107, 445–458 (1976).
Efstratiadis, A., Kafatos, F. C. & Maniatis, T. The primary structure of rabbit β-globin mRNA as determined from cloned DNA. Cell 10, 571–585 (1977).
Grantham, R., Gautier, C., Gouy, M., Mercier, R. & Pavé, A. Codon catalog usage and the genome hypothesis. Nucleic Acids Res. 8, r49–r62 (1980).
Ikemura, T. Correlation between the abundance of Escherichia coli transfer RNAs and the occurrence of the respective codons in its protein genes: a proposal for a synonymous codon choice that is optimal for the E. coli translational system. J. Mol. Biol. 151, 389–409 (1981).
Gouy, M. & Gautier, C. Codon usage in bacteria: correlation with gene expressivity. Nucleic Acids Res. 10, 7055–7074 (1982).
Hanson, G. & Coller, J. Codon optimality, bias and usage in translation and mRNA decay. Nat. Rev. Mol. Cell Biol. 19, 20–30 (2018).
Liu, Y., Yang, Q. & Zhao, F. Synonymous but not silent: the codon usage code for gene expression and protein folding. Annu. Rev. Biochem. 90, 375–401 (2021).
Stergachis, A. B. et al. Exonic transcription factor binding directs codon choice and affects protein evolution. Science 342, 1367–1372 (2013).
Birnbaum, R. Y. et al. Coding exons function as tissue-specific enhancers of nearby genes. Genome Res. 22, 1059–1068 (2012).
Doolittle, W. F., Brunet, T. D., Linquist, S. & Gregory, T. R. Distinguishing between “function” and “effect” in genome biology. Genome Biol. Evol. 6, 1234–1237 (2014).
Agoglia, R. M. & Fraser, H. B. Disentangling sources of selection on exonic transcriptional enhancers. Mol. Biol. Evol. 33, 585–590 (2016).
Xing, K. & He, X. Reassessing the “duon” hypothesis of protein evolution. Mol. Biol. Evol. 32, 1056–1062 (2015).
Chen, J. et al. Prevalent uses and evolution of exonic regulatory sequences in the human genome. Nat. Sci. 3, e20220058 (2023).
Shen, X., Song, S., Li, C. & Zhang, J. Synonymous mutations in representative yeast genes are mostly strongly non-neutral. Nature 606, 725–731 (2022).
Rodriguez, A. et al. Synonymous codon substitutions modulate transcription and translation of a divergent upstream gene by modulating antisense RNA production. Proc. Natl Acad. Sci. USA 121, e2405510121 (2024).
Sekinger, E. A., Moqtaderi, Z. & Struhl, K. Intrinsic histone-DNA interactions and low nucleosome density are important for preferential accessibility of promoter regions in yeast. Mol. Cell 18, 735–748 (2005).
Tillo, D. & Hughes, T. R. G+C content dominates intrinsic nucleosome occupancy. BMC Bioinform. 10, 442 (2009).
Zhou, Z. et al. Codon usage is an important determinant of gene expression levels largely through its effects on transcription. Proc. Natl Acad. Sci. USA 113, E6117–E6125 (2016).
Zhao, F. et al. Genome-wide role of codon usage on transcription and identification of potential regulators. Proc. Natl Acad. Sci. USA 118, e2022590118 (2021).
Qian, W. & Zhang, J. Codon usage bias and nuclear mRNA concentration: correlation vs. causation. Proc. Natl Acad. Sci. USA 118, e2104714118 (2021).
Zhou, Z., Dang, Y., Zhou, M., Yuan, H. & Liu, Y. Codon usage biases co-evolve with transcription termination machinery to suppress premature cleavage and polyadenylation. eLife 7, e33569 (2018).
Savisaar, R. & Hurst, L. D. Exonic splice regulation imposes strong selection at synonymous sites. Genome Res. 28, 1442–1454 (2018).
Chamary, J. V., Parmley, J. L. & Hurst, L. D. Hearing silence: non-neutral evolution at synonymous sites in mammals. Nat. Rev. Genet. 7, 98–108 (2006).
Lan, Y. et al. Synonymous mutations promote tumorigenesis by disrupting m6A-dependent mRNA metabolism. Cell 188, 1828–1841.e15 (2025).
Courel, M. et al. GC content shapes mRNA storage and decay in human cells. eLife 8, e49708 (2019).
Mordstein, C. et al. Codon usage and splicing jointly influence mRNA localization. Cell Syst. 10, 351–362.e8 (2020).
Zuckerman, B., Ron, M., Mikl, M., Segal, E. & Ulitsky, I. Gene architecture and sequence composition underpin selective dependency of nuclear export of long RNAs on NXF1 and the TREX complex. Mol. Cell 79, 251–267.e6 (2020).
Savisaar, R. & Hurst, L. D. Both maintenance and avoidance of RNA-binding protein interactions constrain coding sequence evolution. Mol. Biol. Evol. 34, 1110–1126 (2017).
Yang, J. R., Chen, X. & Zhang, J. Codon-by-codon modulation of translational speed and accuracy via mRNA folding. PLoS Biol. 12, e1001910 (2014).
Kudla, G., Murray, A. W., Tollervey, D. & Plotkin, J. B. Coding-sequence determinants of gene expression in Escherichia coli. Science 324, 255–258 (2009).
Pop, C. et al. Causal signals between codon bias, mRNA structure, and the efficiency of translation and elongation. Mol. Syst. Biol. 10, 770 (2014).
Lai, W. C. et al. mRNAs and lncRNAs intrinsically form secondary structures with short end-to-end distances. Nat. Commun. 9, 4328 (2018).
Gaither, J. B. S. et al. Synonymous variants that disrupt messenger RNA structure are significantly constrained in the human population. GigaScience 10, giab023 (2021).
Park, C., Chen, X., Yang, J. R. & Zhang, J. Differential requirements for mRNA folding partially explain why highly expressed proteins evolve slowly. Proc. Natl Acad. Sci. USA 110, E678–E686 (2013).
Shabalina, S. A., Ogurtsov, A. Y. & Spiridonov, N. A. A periodic pattern of mRNA secondary structure created by the genetic code. Nucleic Acids Res. 34, 2428–2437 (2006).
Tuller, T., Waldman, Y. Y., Kupiec, M. & Ruppin, E. Translation efficiency is determined by both codon bias and folding energy. Proc. Natl Acad. Sci. USA 107, 3645–3650 (2010).
Gu, W., Zhou, T. & Wilke, C. O. A universal trend of reduced mRNA stability near the translation-initiation site in prokaryotes and eukaryotes. PLoS Comput. Biol. 6, e1000664 (2010).
Gu, W., Wang, X., Zhai, C., Xie, X. & Zhou, T. Selection on synonymous sites for increased accessibility around miRNA binding sites in plants. Mol. Biol. Evol. 29, 3037–3044 (2012).
Barrington, C. L. et al. Synonymous codon usage regulates translation initiation. Cell Rep. 42, 113413 (2023).
Li, K., Kong, J., Zhang, S., Zhao, T. & Qian, W. Distance-dependent inhibition of translation initiation by downstream out-of-frame AUGs is consistent with a Brownian ratchet process of ribosome scanning. Genome Biol. 23, 254 (2022).
Li, G. W., Oh, E. & Weissman, J. S. The anti-Shine–Dalgarno sequence drives translational pausing and codon choice in bacteria. Nature 484, 538–541 (2012).
Yang, C., Hockenberry, A. J., Jewett, M. C. & Amaral, L. A. N. Depletion of Shine-Dalgarno sequences within bacterial coding regions is expression dependent. G3 6, 3467–3474 (2016).
Hockenberry, A. J., Jewett, M. C., Amaral, L. A. N. & Wilke, C. O. Within-gene Shine–Dalgarno sequences are not selected for function. Mol. Biol. Evol. 35, 2487–2498 (2018).
Varenne, S., Buc, J., Lloubes, R. & Lazdunski, C. Translation is a non-uniform process. Effect of tRNA availability on the rate of elongation of nascent polypeptide chains. J. Mol. Biol. 180, 549–576 (1984).
Ingolia, N. T., Ghaemmaghami, S., Newman, J. R. & Weissman, J. S. Genome-wide analysis in vivo of translation with nucleotide resolution using ribosome profiling. Science 324, 218–223 (2009).
Qian, W., Yang, J. R., Pearson, N. M., Maclean, C. & Zhang, J. Balanced codon usage optimizes eukaryotic translational efficiency. PLoS Genet. 8, e1002603 (2012).
Charneski, C. A. & Hurst, L. D. Positively charged residues are the major determinants of ribosomal velocity. PLoS Biol. 11, e1001508 (2013).
Hussmann, J. A., Patchett, S., Johnson, A., Sawyer, S. & Press, W. H. Understanding biases in ribosome profiling experiments reveals signatures of translation dynamics in yeast. PLoS Genet. 11, e1005732 (2015).
Weinberg, D. E. et al. Improved ribosome-footprint and mRNA measurements provide insights into dynamics and regulation of yeast translation. Cell Rep. 14, 1787–1799 (2016).
Tuller, T. et al. An evolutionarily conserved mechanism for controlling the efficiency of protein translation. Cell 141, 344–354 (2010).
Pelechano, V., Wei, W. & Steinmetz, L. M. Widespread co-translational RNA decay reveals ribosome dynamics. Cell 161, 1400–1412 (2015).
Bentele, K., Saffert, P., Rauscher, R., Ignatova, Z. & Bluthgen, N. Efficient translation initiation dictates codon usage at gene start. Mol. Syst. Biol. 9, 675 (2013).
Goodman, D. B., Church, G. M. & Kosuri, S. Causes and effects of N-terminal codon bias in bacterial genes. Science 342, 475–479 (2013).
Sejour, R., Leatherwood, J., Yurovsky, A. & Futcher, B. Enrichment of rare codons at 5’ ends of genes is a spandrel caused by evolutionary sequence turnover and does not improve translation. eLife 12, RP89656 (2024).
Bazzini, A. A. et al. Codon identity regulates mRNA stability and translation efficiency during the maternal-to-zygotic transition. EMBO J. 35, 2087–2103 (2016).
Mishima, Y. & Tomari, Y. Codon usage and 3’ UTR length determine maternal mRNA stability in zebrafish. Mol. Cell 61, 874–885 (2016).
Presnyak, V. et al. Codon optimality is a major determinant of mRNA stability. Cell 160, 1111–1124 (2015).
Chen, S. et al. Codon-resolution analysis reveals a direct and context-dependent impact of individual synonymous mutations on mRNA level. Mol. Biol. Evol. 34, 2944–2958 (2017).
Boel, G. et al. Codon influence on protein expression in E. coli correlates with mRNA levels. Nature 529, 358–363 (2016).
Radhakrishnan, A. et al. The DEAD-box protein Dhh1p couples mRNA decay and translation by monitoring codon optimality. Cell 167, 122–132.e9 (2016).
Buschauer, R. et al. The Ccr4-Not complex monitors the translating ribosome for codon optimality. Science 368, eaay6912 (2020).
Veltri, A. J. et al. Distinct elongation stalls during translation are linked with distinct pathways for mRNA degradation. eLife 11, e76038 (2022).
Zhu, X., Cruz, V. E., Zhang, H., Erzberger, J. P. & Mendell, J. T. Specific tRNAs promote mRNA decay by recruiting the CCR4-NOT complex to translating ribosomes. Science 386, eadq8587 (2024).
Guo, X. et al. Selection and mutation on microRNA target sequences during rice evolution. BMC Genomics 9, 454 (2008).
Mordret, E. et al. Systematic detection of amino acid substitutions in proteomes reveals mechanistic basis of ribosome errors and selection for translation fidelity. Mol. Cell 75, 427–441 (2019).
Sun, M. & Zhang, J. Preferred synonymous codons are translated more accurately: proteomic evidence, among-species variation, and mechanistic basis. Sci. Adv. 8, eabl9812 (2022).
Wu, X., Xu, M., Yang, J. R. & Lu, J. Genome-wide impact of codon usage bias on translation optimization in Drosophila melanogaster. Nat. Commun. 15, 8329 (2024).
Sharma, A. K. & O’Brien, E. P. Non-equilibrium coupling of protein structure and function to translation-elongation kinetics. Curr. Opin. Struct. Biol. 49, 94–103 (2018).
Stein, K. C. & Frydman, J. The stop-and-go traffic regulating protein biogenesis: how translation kinetics controls proteostasis. J. Biol. Chem. 294, 2076–2084 (2019).
Moss, M. J., Chamness, L. M. & Clark, P. L. The effects of codon usage on protein structure and folding. Annu. Rev. Biophys. 53, 87–108 (2024).
Buhr, F. et al. Synonymous codons direct cotranslational folding toward different protein conformations. Mol. Cell 61, 341–351 (2016).
Zhang, G., Hubalewska, M. & Ignatova, Z. Transient ribosomal attenuation coordinates protein synthesis and co-translational folding. Nat. Struct. Mol. Biol. 16, 274–280 (2009).
Arpat, A. B. et al. Transcriptome-wide sites of collided ribosomes reveal principles of translational pausing. Genome Res. 30, 985–999 (2020).
Zhao, T. et al. Disome-seq reveals widespread ribosome collisions that promote cotranslational protein folding. Genome Biol. 22, 16 (2021).
Pechmann, S., Chartron, J. W. & Frydman, J. Local slowdown of translation by nonoptimal codons promotes nascent-chain recognition by SRP in vivo. Nat. Struct. Mol. Biol. 21, 1100–1105 (2014).
Fernández-Calero, T. et al. The transcriptional activities and cellular localization of the human estrogen receptor alpha are affected by the synonymous Ala87 mutation. J. Steroid Biochem. Mol. Biol. 143, 99–104 (2014).
Hershberg, R. & Petrov, D. A. Selection on codon bias. Annu. Rev. Genet. 42, 287–299 (2008).
Callens, M., Pradier, L., Finnegan, M., Rose, C. & Bedhomme, S. Read between the lines: diversity of nontranslational selection pressures on local codon usage. Genome Biol. Evol. 13, evab097 (2021).
Chen, S. L., Lee, W., Hottes, A. K., Shapiro, L. & McAdams, H. H. Codon usage between genomes is constrained by genome-wide mutational processes. Proc. Natl Acad. Sci. USA 101, 3480–3485 (2004).
Hershberg, R. & Petrov, D. A. General rules for optimal codon choice. PLoS Genet. 5, e1000556 (2009).
Plotkin, J. B. & Kudla, G. Synonymous but not the same: the causes and consequences of codon bias. Nat. Rev. Genet. 12, 32–42 (2011).
Duret, L. Evolution of synonymous codon usage in metazoans. Curr. Opin. Genet. Dev. 12, 640–649 (2002).
Duret, L. & Mouchiroud, D. Expression pattern and, surprisingly, gene length shape codon usage in Caenorhabditis, Drosophila, and Arabidopsis. Proc. Natl Acad. Sci. USA 96, 4482–4487 (1999).
Pouyet, F., Mouchiroud, D., Duret, L. & Semon, M. Recombination, meiotic expression and human codon usage. eLife 6, e27344 (2017).
Bulmer, M. The selection-mutation-drift theory of synonymous codon usage. Genetics 129, 897–907 (1991).
Chen, F. et al. Dissimilation of synonymous codon usage bias in virus–host coevolution due to translational selection. Nat. Ecol. Evol. 4, 589–600 (2020).
Andersson, S. G. & Kurland, C. G. Codon preferences in free-living microorganisms. Microbiol. Rev. 54, 198–210 (1990).
Drummond, D. A. & Wilke, C. O. Mistranslation-induced protein misfolding as a dominant constraint on coding-sequence evolution. Cell 134, 341–352 (2008).
Akashi, H. Synonymous codon usage in Drosophila melanogaster: natural selection and translational accuracy. Genetics 136, 927–935 (1994).
Stoletzki, N. & Eyre-Walker, A. Synonymous codon usage in Escherichia coli: selection for translational accuracy. Mol. Biol. Evol. 24, 374–381 (2007).
Zhou, T., Weems, M. & Wilke, C. O. Translationally optimal codons associate with structurally sensitive sites in proteins. Mol. Biol. Evol. 26, 1571–1580 (2009).
Johansson, M., Zhang, J. & Ehrenberg, M. Genetic code translation displays a linear trade-off between efficiency and accuracy of tRNA selection. Proc. Natl Acad. Sci. USA 109, 131–136 (2012).
Akashi, H. Inferring weak selection from patterns of polymorphism and divergence at “silent” sites in Drosophila DNA. Genetics 139, 1067–1076 (1995).
Lawrie, D. S., Messer, P. W., Hershberg, R. & Petrov, D. A. Strong purifying selection at synonymous sites in D. melanogaster. PLoS Genet. 9, e1003527 (2013).
Huang, Y. F. & Siepel, A. Estimation of allele-specific fitness effects across human protein-coding sequences and implications for disease. Genome Res. 29, 1310–1321 (2019).
Dhindsa, R. S., Copeland, B. R., Mustoe, A. M. & Goldstein, D. B. Natural selection shapes codon usage in the human genome. Am. J. Hum. Genet. 107, 83–95 (2020).
Eyre-Walker, A. & Keightley, P. D. The distribution of fitness effects of new mutations. Nat. Rev. Genet. 8, 610–618 (2007).
Eyre-Walker, A., Woolfit, M. & Phelps, T. The distribution of fitness effects of new deleterious amino acid mutations in humans. Genetics 173, 891–900 (2006).
Agashe, D., Martinez-Gomez, N. C., Drummond, D. A. & Marx, C. J. Good codons, bad transcript: large reductions in gene expression and fitness arising from synonymous mutations in a key enzyme. Mol. Biol. Evol. 30, 549–560 (2013).
Walsh, I. M., Bowman, M. A., Soto Santarriaga, I. F., Rodriguez, A. & Clark, P. L. Synonymous codon substitutions perturb cotranslational protein folding in vivo and impair cell fitness. Proc. Natl Acad. Sci. USA 117, 3528–3534 (2020).
Frumkin, I. et al. Codon usage of highly expressed genes affects proteome-wide translation efficiency. Proc. Natl Acad. Sci. USA 115, E4940–E4949 (2018).
Kristofich, J. et al. Synonymous mutations make dramatic contributions to fitness when growth is limited by a weak-link enzyme. PLoS Genet. 14, e1007615 (2018).
Carlini, D. B. & Stephan, W. In vivo introduction of unpreferred synonymous codons into the Drosophila Adh gene results in reduced levels of ADH protein. Genetics 163, 239–243 (2003).
Agashe, D. et al. Large-effect beneficial synonymous mutations mediate rapid and parallel adaptation in a bacterium. Mol. Biol. Evol. 33, 1542–1553 (2016).
Lind, P. A., Berg, O. G. & Andersson, D. I. Mutational robustness of ribosomal protein genes. Science 330, 825–827 (2010).
Bailey, S. F., Alonso Morales, L. A. & Kassen, R. Effects of synonymous mutations beyond codon bias: the evidence for adaptive synonymous substitutions from microbial evolution experiments. Genome Biol. Evol. 13, evab141 (2021).
Lebeuf-Taylor, E., McCloskey, N., Bailey, S. F., Hinz, A. & Kassen, R. The distribution of fitness effects among synonymous mutations in a gene under directional selection. eLife 8, e45952 (2019).
Firnberg, E., Labonte, J. W., Gray, J. J. & Ostermeier, M. A comprehensive, high-resolution map of a gene’s fitness landscape. Mol. Biol. Evol. 31, 1581–1592 (2014).
Lind, P. A., Arvidsson, L., Berg, O. G. & Andersson, D. I. Variation in mutational robustness between different proteins and the predictability of fitness effects. Mol. Biol. Evol. 34, 408–418 (2017).
Sane, M., Diwan, G. D., Bhat, B. A., Wahl, L. M. & Agashe, D. Shifts in mutation spectra enhance access to beneficial mutations. Proc. Natl Acad. Sci. USA 120, e2207355120 (2023).
Carrasco, P., de la Iglesia, F. & Elena, S. F. Distribution of fitness and virulence effects caused by single-nucleotide substitutions in Tobacco etch virus. J. Virol. 81, 12979–12984 (2007).
Domingo-Calap, P., Cuevas, J. M. & Sanjuan, R. The fitness effects of random mutations in single-stranded DNA and RNA bacteriophages. PLoS Genet. 5, e1000742 (2009).
Peris, J. B., Davis, P., Cuevas, J. M., Nebot, M. R. & Sanjuan, R. Distribution of fitness effects caused by single-nucleotide substitutions in bacteriophage f1. Genetics 185, 603–609 (2010).
Sanjuan, R., Moya, A. & Elena, S. F. The distribution of fitness effects caused by single-nucleotide substitutions in an RNA virus. Proc. Natl Acad. Sci. USA 101, 8396–8401 (2004).
Cuevas, J. M., Domingo-Calap, P. & Sanjuan, R. The fitness effects of synonymous mutations in DNA and RNA viruses. Mol. Biol. Evol. 29, 17–20 (2012).
Sane, M., Parveen, S. & Agashe, D. Mutation bias alters the distribution of fitness effects of mutations. Preprint at bioRxiv https://doi.org/10.1101/2024.03.24.586369 (2025).
Kruglyak, L. et al. Insufficient evidence for non-neutrality of synonymous mutations. Nature 616, E8–E9 (2023).
Shen, X., Song, S., Li, C. & Zhang, J. Further evidence for strong nonneutrality of yeast synonymous mutations. Mol. Biol. Evol. 41, msae224 (2024).
Yang, D. D., Rusch, L. M., Widney, K. A., Morgenthaler, A. B. & Copley, S. D. Synonymous edits in the Escherichia coli genome have substantial and condition-dependent effects on fitness. Proc. Natl Acad. Sci. USA 121, e2316834121 (2024).
Nyerges, A. et al. Synthetic genomes unveil the effects of synonymous recoding. Preprint at bioRxiv https://doi.org/10.1101/2024.06.16.599206 (2024).
Sharon, E. et al. Functional genetic variants revealed by massively parallel precise genome editing. Cell 175, 544–557.e16 (2018).
She, R. & Jarosz, D. F. Mapping causal variants with single-nucleotide resolution reveals biochemical drivers of phenotypic change. Cell 172, 478–490.e15 (2018).
Hietpas, R. T., Jensen, J. D. & Bolon, D. N. Experimental illumination of a fitness landscape. Proc. Natl Acad. Sci. USA 108, 7896–7901 (2011).
Amorosi, C. J. et al. Massively parallel characterization of CYP2C9 variant enzyme activity and abundance. Am. J. Hum. Genet. 108, 1735–1751 (2021).
Weile, J. et al. A framework for exhaustively mapping functional missense variants. Mol. Syst. Biol. 13, 957 (2017).
Dhindsa, R. S. et al. A minimal role for synonymous variation in human disease. Am. J. Hum. Genet. 109, 2105–2109 (2022).
Shen, X., Song, S., Li, C. & Zhang, J. On the fitness effects and disease relevance of synonymous mutations. Preprint at bioRxiv https://doi.org/10.1101/2022.08.22.504687 (2022).
McGrath, K. M. et al. Fitness benefits of a synonymous substitution in an ancient EF-Tu gene depend on the genetic background. J. Bacteriol. 206, e0032923 (2024).
Zwart, M. P. et al. Unraveling the causes of adaptive benefits of synonymous mutations in TEM-1-β-lactamase. Heredity 121, 406–421 (2018).
Faheem, M., Zhang, C. J., Morris, M. N., Pleiss, J. & Oelschlaeger, P. Role of synonymous mutations in the evolution of TEM β-lactamase genes. Antimicrob. Agents Chemother. 65, e00018–e00021 (2021).
Bailey, S. F., Hinz, A. & Kassen, R. Adaptive synonymous mutations in an experimentally evolved Pseudomonas fluorescens population. Nat. Commun. 5, 4076 (2014).
Chen, P. & Zhang, J. The loci of environmental adaptation in a model eukaryote. Nat. Commun. 15, 5672 (2024).
King, J. L. & Jukes, T. H. Non-Darwinian evolution. Science 164, 788–798 (1969).
Miyata, T. & Yasunaga, T. Rapidly evolving mouse alpha-globin-related pseudo gene and its evolutionary history. Proc. Natl Acad. Sci. USA 78, 450–453 (1981).
Katju, V. & Bergthorsson, U. Old trade, new tricks: insights into the spontaneous mutation process from the partnering of classical mutation accumulation experiments with high-throughput genomic approaches. Genome Biol. Evol. 11, 136–165 (2019).
Hudson, R. R., Kreitman, M. & Aguade, M. A test of neutral molecular evolution based on nucleotide data. Genetics 116, 153–159 (1987).
McDonald, J. H. & Kreitman, M. Adaptive protein evolution at the Adh locus in Drosophila. Nature 351, 652–654 (1991).
Sauna, Z. E. & Kimchi-Sarfaty, C. Understanding the contribution of synonymous mutations to human disease. Nat. Rev. Genet. 12, 683–691 (2011).
Chen, R., Davydov, E. V., Sirota, M. & Butte, A. J. Non-synonymous and synonymous coding SNPs show similar likelihood and effect size of human disease association. PLoS ONE 5, e13574 (2010).
Karczewski, K. J. et al. Systematic single-variant and gene-based association testing of thousands of phenotypes in 394,841 UK biobank exomes. Cell Genom. 2, 100168 (2022).
Takata, A., Ionita-Laza, I., Gogos, J. A., Xu, B. & Karayiorgou, M. De novo synonymous mutations in regulatory elements contribute to the genetic etiology of autism and schizophrenia. Neuron 89, 940–947 (2016).
Supek, F., Minana, B., Valcarcel, J., Gabaldon, T. & Lehner, B. Synonymous mutations frequently act as driver mutations in human cancers. Cell 156, 1324–1335 (2014).
Sharma, Y. et al. A pan-cancer analysis of synonymous mutations. Nat. Commun. 10, 2569 (2019).
Lu, J. & Wu, C. I. Weak selection revealed by the whole-genome comparison of the X chromosome and autosomes of human and chimpanzee. Proc. Natl Acad. Sci. USA 102, 4063–4067 (2005).
Han, P. et al. Genome-wide survey of ribosome collision. Cell Rep. 31, 107610 (2020).
Meydan, S. & Guydosh, N. R. Disome and trisome profiling reveal genome-wide targets of ribosome quality control. Mol. Cell 79, 588–602.e6 (2020).
Guydosh, N. R. & Green, R. Dom34 rescues ribosomes in 3’ untranslated regions. Cell 156, 950–962 (2014).
Aitken, C. E. & Puglisi, J. D. Following the intersubunit conformation of the ribosome during translation in real time. Nat. Struct. Mol. Biol. 17, 793–800 (2010).
Rahman, S., Kosakovsky Pond, S. L., Webb, A. & Hey, J. Weak selection on synonymous codons substantially inflates dN/dS estimates in bacteria. Proc. Natl Acad. Sci. USA 118, e2023575118 (2021).
Zhang, J. & Yang, J. R. Determinants of the rate of protein sequence evolution. Nat. Rev. Genet. 16, 409–420 (2015).
Chen, P. & Zhang, J. Antagonistic pleiotropy conceals molecular adaptations in changing environments. Nat. Ecol. Evol. 4, 461–469 (2020).
Bartoszewski, R. A. et al. A synonymous single nucleotide polymorphism in ΔF508 CFTR alters the secondary structure of the mRNA and the expression of the mutant protein. J. Biol. Chem. 285, 28741–28748 (2010).
Lazrak, A. et al. The silent codon change I507-ATC→ATT contributes to the severity of the ΔF508 CFTR channel dysfunction. FASEB J. 27, 4630–4645 (2013).
Richard, P. et al. A synonymous CHRNE mutation responsible for an aberrant splicing leading to congenital myasthenic syndrome. Neuromuscul. Disord. 17, 409–414 (2007).
Parkes, M. et al. Sequence variants in the autophagy gene IRGM and multiple other replicating loci contribute to Crohn’s disease susceptibility. Nat. Genet. 39, 830–832 (2007).
Brest, P. et al. A synonymous variant in IRGM alters a binding site for miR-196 and causes deregulation of IRGM-dependent xenophagy in Crohn’s disease. Nat. Genet. 43, 242–245 (2011).
Li, J. et al. Performance evaluation of pathogenicity-computation methods for missense variants. Nucleic Acids Res. 46, 7793–7804 (2018).
Cheng, N. et al. Comparison and integration of computational methods for deleterious synonymous mutation prediction. Brief. Bioinform. 21, 970–981 (2020).
Lin, B. C., Katneni, U., Jankowska, K. I., Meyer, D. & Kimchi-Sarfaty, C. In silico methods for predicting functional synonymous variants. Genome Biol. 24, 126 (2023).
Livingstone, M. et al. Investigating DNA-, RNA-, and protein-based features as a means to discriminate pathogenic synonymous variants. Hum. Mutat. 38, 1336–1347 (2017).
Zhang, X. et al. regSNPs-splicing: a tool for prioritizing synonymous single-nucleotide substitution. Hum. Genet. 136, 1279–1289 (2017).
Wang, L. et al. Deleterious synonymous mutation identification based on selective ensemble strategy. Brief. Bioinform. 24, bbac598 (2023).
Buske, O. J., Manickaraj, A., Mital, S., Ray, P. N. & Brudno, M. Identification of deleterious synonymous variants in human genomes. Bioinformatics 29, 1843–1850 (2013).
Zhang, T. et al. Syntool: a novel region-based intolerance score to single nucleotide substitution for synonymous mutations predictions based on 123,136 individuals. BioMed Res. Int. 2017, 5096208 (2017).
Gelfman, S. et al. Annotating pathogenic non-coding variants in genic regions. Nat. Commun. 8, 236 (2017).
Rentzsch, P., Witten, D., Cooper, G. M., Shendure, J. & Kircher, M. CADD: predicting the deleteriousness of variants throughout the human genome. Nucleic Acids Res. 47, D886–D894 (2019).
Quang, D., Chen, Y. & Xie, X. DANN: a deep learning approach for annotating the pathogenicity of genetic variants. Bioinformatics 31, 761–763 (2015).
Shihab, H. A. et al. An integrative approach to predicting the functional effects of non-coding and coding sequence variation. Bioinformatics 31, 1536–1543 (2015).
Capriotti, E. & Fariselli, P. PhD-SNPg: a webserver and lightweight tool for scoring single nucleotide variants. Nucleic Acids Res. 45, W247–W252 (2017).
Bendl, J. et al. PredictSNP2: a unified platform for accurately evaluating SNP effects by exploiting the different characteristics of variants in distinct genomic regions. PLoS Comput. Biol. 12, e1004962 (2016).
Acknowledgements
The authors thank S. Song, S. Zhang and J. Kong for technical assistance, and members of our laboratories for valuable comments. J.Z. was supported by the U.S. National Institutes of Health (R35GM139484) and W.Q. was supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA28030402), the Biological Breeding-National Science and Technology Major Project (2023ZD04073) and Guangdong Provincial Key Laboratory of Synthetic Genomics (2023B1212060054).
Author information
Authors and Affiliations
Contributions
The authors contributed equally to all aspects of the manuscript.
Corresponding authors
Ethics declarations
Competing interests
The authors declare no competing interests.
Peer review
Peer review information
Nature Reviews Genetics thanks Laurent Duret, and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Related links
SynMICdb: http://SynMICdb.dkfz.de
Glossary
- A-to-I editing
-
Enzymatic alteration of RNA molecules consisting of the conversion of adenosines (A) to inosines (I) at specific positions.
- Clonal interference
-
Competition among genotypes with different beneficial mutations in an asexual population.
- Coalescent theory
-
A mathematical theory of population genetics that traces all alleles of a gene sampled from a population to a single ancestral copy.
- Codon usage bias
-
(CUB). The phenomenon in which synonymous codons of an amino acid are unequally used in a genome.
- Cycloheximide
-
A fungicide often used to block eukaryotic translational elongation in experiments.
- Deep mutational scanning
-
An experimental approach for measuring the effects of individual nucleotides in a DNA segment by creating many mutants of the DNA followed by high-throughput functional/fitness assays of the mutants.
- Effective population size
-
(Ne). Number of individuals in an ideal (that is, Wright–Fisher) population that results in the same amount of genetic drift as in the actual population considered.
- Fitness
-
A quantitative representation of the ability of an individual to pass its genome to the next generation.
- Genome-wide association studies
-
Investigations of genome-wide sets of genetic variants in groups of individuals to find variants associated with traits of interest.
- Kinetic proofreading
-
Mechanism that allows enzymes, particularly those involved in DNA replication, RNA transcription and protein synthesis, to enhance their fidelity by discriminating between correct and incorrect substrates. The accuracy of this process is higher than expected solely based on the difference in activation energy between forming correct products and incorrect products.
- Linkage disequilibrium
-
Non-random association of alleles of different loci in a population.
- m6A methylation
-
Methylation at the nitrogen-6 position of adenosines at specific positions in an RNA molecule.
- MicroRNA
-
Single-stranded, non-coding RNA molecules of 21 to 23 nucleotides that bind to mRNAs to cause mRNA degradation or suppress mRNA translation.
- Modern synthesis
-
Prevailing evolutionary theory developed in the 1930s to the 1940s by combining Darwin’s theory of evolution by natural selection with a population-oriented view of Mendelian genetics.
- mRNA folding strength
-
Reduction in free energy of a folded mRNA molecule relative to its unfolded form.
- Mutation accumulation
-
A genetic experiment in which a population of organisms is propagated through repeated population bottlenecks to minimize the impact of natural selection.
- Mutation bias
-
A phenomenon in which some types of mutation occur more frequently than other types.
- Near-cognate tRNAs
-
tRNAs carrying an amino acid that differs from that encoded by the codon of concern and whose anticodon does not pair with the codon at exactly one nucleotide position.
- Neutral mutations
-
Genetic changes having selection coefficients that are smaller than the inverse of the effective population size.
- Neutral theory
-
An evolutionary theory positing that most interspecific differences and intraspecific polymorphisms at the DNA or protein sequence level are selectively neutral rather than adaptive.
- Nonsynonymous mutations
-
Point mutations in a coding sequence that alter the encoded protein sequence.
- Nonsynonymous substitution rate
-
(dN). Number of nonsynonymous nucleotide substitutions per nonsynonymous site between two homologous coding sequences.
- Nucleosome
-
The basic structural unit of DNA packaging in eukaryotes consisting of a segment of DNA wound around eight histone proteins.
- Polyadenylation
-
Part of the process of mRNA maturation in which a nascent RNA transcript is cleaved at a particular site and subsequently becomes the object of the addition of a poly-A tail.
- Preferred codons
-
Codons that are used more frequently than the average of all codons of the same amino acid in highly expressed genes of a genome.
- Protospacer adjacent motif
-
A short DNA sequence of usually 2–6 nucleotides required for a Cas nuclease in the CRISPR system to cut; it is generally found 3–4 nucleotides downstream from the cut site.
- Pseudogene
-
A nonfunctional segment of DNA that is derived from a previously functional gene.
- Quantitative trait locus mapping
-
A method to determine the chromosomal regions or genetic variants affecting the variation of a quantitative trait among individuals of a species.
- Ribosome E-site
-
5’-most of the three tRNA binding sites in a ribosome that allows a deacylated tRNA to exit. The 3’-most of the three tRNA binding sites in a ribosome that selects charged tRNA molecules during protein synthesis is known as A-site.
- Ribosome P-site
-
Middle of the three tRNA binding sites in a ribosome that holds the tRNA linked to the nascent polypeptide chain.
- Selection coefficient
-
(s). The difference in relative fitness between a mutant and the wild type.
- Shine–Dalgarno sequence
-
Sequence motif in mRNA that recruits ribosomes through interaction with the anti-Shine–Dalgarno sequence in 16S ribosomal RNA of prokaryotes.
- Site frequency spectrum
-
Distribution of the allele frequencies of a set of loci such as single-nucleotide polymorphisms in a population or sample of individuals.
- Splicing
-
A step in pre-mRNA processing that removes introns and joins exons to form mature mRNAs.
- Synonymous mutations
-
Point mutations in a coding sequence that do not alter the encoded protein sequence.
- Synonymous substitution rate
-
(dS). Number of synonymous nucleotide substitutions per synonymous site between two homologous coding sequences.
- Unpreferred codons
-
Codons that are used less frequently than the average of all codons of the same amino acid in highly expressed genes of a genome.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Zhang, J., Qian, W. Functional synonymous mutations and their evolutionary consequences. Nat Rev Genet 26, 789–804 (2025). https://doi.org/10.1038/s41576-025-00850-1
Accepted:
Published:
Version of record:
Issue date:
DOI: https://doi.org/10.1038/s41576-025-00850-1
This article is cited by
-
Exploring the genetic landscape of sesame: whole genome sequencing reveals distinct Egyptian lineages and SNP variability
Molecular Genetics and Genomics (2026)
-
Adaptive tracking with antagonistic pleiotropy results in seemingly neutral molecular evolution
Nature Ecology & Evolution (2025)


