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While mutation rate data are scarce in plants, it seems likely that mutators could also carry a high and immediate indirect cost in plant species with a prominent gametophyte phase (mosses, ferns, and others).
To this end, we examined the relative probability of each mutation (Table 2) using published mutation rate data (1, 8 ).
Reanalysing the raw data I find numerous errors in the transcription of mutation rate data from the original paper.
The mutation rate data for homopolymers and larger microsatellites revealed a striking, overall nonlinear increase in the mutation rate with repeat length.
Using the mutation rate data I extracted, the level of significance is reduced somewhat (Chi-squared = 5.69, 1 d.f., p = 0.017).
For this, I followed their methods and transformed mutation rate data by taking the log of X + 0.001, while EPC rates were square root – arcsine transformed [ 1].
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The population increase that begins in the 1990's was also visible in the BSPs that used the 25% (8.33×10−5) and 75% (2.23×10−4) estimated mutation rates (data not shown).
Moreover, they are not biased in nucleotide composition and they invariably go extinct at high mutation rates (data not shown).
This approach uses mutation-rate data for rapidly evolving multiple locus variable-number tandem repeat loci in probabilistic models to identify the most likely source.
To test the effect of increased or reduced mutation rate, two data sets were synthesized using the original fitnesses drawn from the normal (σ = 5) distribution.
Assuming that KS reflects the mutation rate, the data are not consistent with this scenario, as KS is usually somewhat lower, not higher, for X-linked loci (supplementary table S1, Supplementary Material online).
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