The DOI matches its Crossref record; 25 of the 26 references it cites were found in a registry or an index.
Estimating the Per-Base-Pair Mutation Rate in the Yeast Saccharomyces cerevisiae
Open accessAbstract
Although mutation rates are a key determinant of the rate of evolution they are difficult to measure precisely and global mutations rates (mutations per genome per generation) are often extrapolated from the per-base-pair mutation rate assuming that mutation rate is uniform across the genome. Using budding yeast, we describe an improved method for the accurate calculation of mutation rates based on the fluctuation assay. Our analysis suggests that the per-base-pair mutation rates at two genes differ significantly (3.80x10(-10) at URA3 and 6.44x10(-10) at CAN1) and we propose a definition for the effective target size of genes (the probability that a mutation inactivates the gene) that acknowledges that the mutation rate is nonuniform across the genome.
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“In my own simulation exploration of the mutant distribution used by Lang and Murray (2008) and by Ford et al. (2013), I also found practical nonidentifiability a stubborn problem.”
From rSalvador: An R Package for the Fluctuation Experiment (2017) · cites this paper as Lang and Murray (2008)
In the citing paper
“While other programs exist for estimating mutation rates (Lang and Murray, 2008;Zheng, 2002Zheng, , 2005Zheng, , 2007)), these require the user to implement source code into other software (i.e.Wolfram's Mathematica or The MathWorks' Matlab), whereas FALCOR is readily accessible through Java-enabled web browsers.”
From Fluctuation AnaLysis CalculatOR: a web tool for the determination of mutation rate using Luria–Delbrück fluctuation analysis (2009) · cites this paper as Lang and Murray, 2008
Citations
Cites
A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
Sherman, F., Fink, G. R., & Hicks, J. B. (1979) · Cold Spring Harbor Laboratory eBooks · Cited by 7,430
Mutations of bacteria from virus sensitivity to virus resistance
Luria, S. E., & Delbrück, M. (1943) · Genetics · doi:10.1093/genetics/28.6.491 · Cited by 3,894
A constant rate of spontaneous mutation in DNA-based microbes.
Drake, J. W. (1991) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.88.16.7160 · Cited by 1,199
EUKARYOTIC TRANSLESION SYNTHESIS DNA POLYMERASES: Specificity of Structure and Function
Prakash, S., Johnson, R. E., & Prakash, L. (2005) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.74.082803.133250 · Cited by 1,020
Genetic studies of the lac repressor
Miller, J. H., Ganem, D., Lu, P., & Schmitz, A. (1977) · Journal of Molecular Biology · doi:10.1016/s0022-2836(77)80034-x · Cited by 495
Determining Mutation Rates in Bacterial Populations
Rosche, W. A., & Foster, P. L. (2000) · Methods · doi:10.1006/meth.1999.0901 · Cited by 482
Direct estimation of per nucleotide and genomic deleterious mutation rates in Drosophila
Liautard‐Haag, C., Dorris, M., Maside, X., Macaskill, S., Halligan, D. L., Charlesworth, B., & Keightley, P. D. (2007) · Nature · doi:10.1038/nature05388 · Cited by 396
Estimate of the genomic mutation rate deleterious to overall fitness in E. coll
Kibota, T. T., & Lynch, M. F. (1996) · Nature · doi:10.1038/381694a0 · Cited by 358
High mutation rate and predominance of insertions in the Caenorhabditis elegans nuclear genome
Denver, D. R., Morris, K., Lynch, M., & Thomas, W. K. (2004) · Nature · doi:10.1038/nature02697 · Cited by 340
Research works printed but not linked: 2
- 1974, IEEE Trans. Automatic Control, 16, 716
- 1992, J. Appl. Probab., 29, 255, 10.2307/3214564 · DOI · Paper page
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A genome-wide view of the spectrum of spontaneous mutations in yeast.
Lynch, M., Sung, W., Morris, K., Coffey, N., Landry, C. R., Dopman, E. B., Dickinson, W. J., Okamoto, K., Kulkarni, S., Hartl, D. L., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0803466105 · Cited by 708
Evolutionary rescue can prevent extinction following environmental change
Bell, G., & Gonzalez, A. (2009) · Ecology Letters · doi:10.1111/j.1461-0248.2009.01350.x · Cited by 591
Variation in the mutation rate across mammalian genomes
Hodgkinson, A., & Eyre-Walker, A. (2011) · Nature Reviews Genetics · doi:10.1038/nrg3098 · Cited by 487
Global epistasis makes adaptation predictable despite sequence-level stochasticity
Kryazhimskiy, S., Rice, D. P., Jerison, E. R., & Desai, M. M. (2014) · Science · doi:10.1126/science.1250939 · Cited by 504
Improving industrial yeast strains: exploiting natural and artificial diversity
Steensels, J., Snoek, T., Meersman, E., Nicolino, M. P., Voordeckers, K., & Verstrepen, K. J. (2014) · FEMS Microbiology Reviews · doi:10.1111/1574-6976.12073 · Cited by 513
Metadata
- Authors
- Lang, G. I., & Murray, A. W.
- Affiliations
- Harvard University (US)
- Corresponding author
- Murray, Andrew W
- Venue
- Genetics
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-01-01
- Volume
- 178
- Issue
- 1
- Pages
- 67-82
- ISSN
- 0016-6731 (ISSN-L)
- 1943-2631
- PMC
- PMC2206112
- OpenAlex
- W2110451776
- Cited by
- 344
- References
- 26
- Citations by year
- 2026: 13 · 2025: 17 · 2024: 24 · 2023: 23 · 2022: 13 · 2021: 21 · 2020: 25 · 2019: 27 · 2018: 20 · 2017: 19 · 2016: 13 · 2015: 23 · 2014: 19 · 2013: 20 · 2012: 15
- FWCI
- 9.71
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- Genetics (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of General Medical Sciences (GM 43987, P50GM068763, R01GM043987, R37GM043987)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fungal and yeast genetics research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › DNA Repair Mechanisms
- Keywords
- Saccharomyces cerevisiae, mutation rate heterogeneity, URA3, CAN1, gene inactivation
- MeSH terms
- Amino Acid Sequence, Base Sequence, DNA Mutational Analysis, Models, Genetic, Molecular Sequence Data, Mutation, Phenotype, Saccharomyces cerevisiae, Mutagenesis, Base Pairing, Saccharomyces cerevisiae Proteins
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