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Phenotypic mutation rates and the abundance of abnormal proteins in yeast.
- Source :
-
PLoS computational biology [PLoS Comput Biol] 2007 Nov; Vol. 3 (11), pp. e203. Date of Electronic Publication: 2007 Sep 06. - Publication Year :
- 2007
-
Abstract
- Phenotypic mutations are errors that occur during protein synthesis. These errors lead to amino acid substitutions that give rise to abnormal proteins. Experiments suggest that such errors are quite common. We present a model to study the effect of phenotypic mutation rates on the amount of abnormal proteins in a cell. In our model, genes are regulated to synthesize a certain number of functional proteins. During this process, depending on the phenotypic mutation rate, abnormal proteins are generated. We use data on protein length and abundance in Saccharomyces cerevisiae to parametrize our model. We calculate that for small phenotypic mutation rates most abnormal proteins originate from highly expressed genes that are on average nearly twice as large as the average yeast protein. For phenotypic mutation rates much above 5 x 10(-4), the error-free synthesis of large proteins is nearly impossible and lowly expressed, very large proteins contribute more and more to the amount of abnormal proteins in a cell. This fact leads to a steep increase of the amount of abnormal proteins for phenotypic mutation rates above 5 x 10(-4). Simulations show that this property leads to an upper limit for the phenotypic mutation rate of approximately 2 x 10(-3) even if the costs for abnormal proteins are extremely low. We also consider the adaptation of individual proteins. Individual genes/proteins can decrease their phenotypic mutation rate by using preferred codons or by increasing their robustness against amino acid substitutions. We discuss the similarities and differences between the two mechanisms and show that they can only slow down but not prevent the rapid increase of the amount of abnormal proteins. Our work allows us to estimate the phenotypic mutation rate based on data on the fraction of abnormal proteins. For S. cerevisiae, we predict that the value for the phenotypic mutation rate is between 2 x 10(-4) and 6 x 10(-4).
- Subjects :
- Base Sequence
Computer Simulation
Genetics, Population
Molecular Sequence Data
Mutation
Sequence Alignment methods
DNA Mutational Analysis methods
Evolution, Molecular
Genetic Variation genetics
Models, Genetic
Phenotype
Saccharomyces cerevisiae genetics
Saccharomyces cerevisiae Proteins genetics
Subjects
Details
- Language :
- English
- ISSN :
- 1553-7358
- Volume :
- 3
- Issue :
- 11
- Database :
- MEDLINE
- Journal :
- PLoS computational biology
- Publication Type :
- Academic Journal
- Accession number :
- 18039025
- Full Text :
- https://doi.org/10.1371/journal.pcbi.0030203