Abstract:
:We describe and test a Markov chain model of microsatellite evolution that can explain the different distributions of microsatellite lengths across different organisms and repeat motifs. Two key features of this model are the dependence of mutation rates on microsatellite length and a mutation process that includes both strand slippage and point mutation events. We compute the stationary distribution of allele lengths under this model and use it to fit DNA data for di-, tri-, and tetranucleotide repeats in humans, mice, fruit flies, and yeast. The best fit results lead to slippage rate estimates that are highest in mice, followed by humans, then yeast, and then fruit flies. Within each organism, the estimates are highest in di-, then tri-, and then tetranucleotide repeats. Our estimates are consistent with experimentally determined mutation rates from other studies. The results suggest that the different length distributions among organisms and repeat motifs can be explained by a simple difference in slippage rates and that selective constraints on length need not be imposed.
journal_name
Proc Natl Acad Sci U S Aauthors
Kruglyak S,Durrett RT,Schug MD,Aquadro CFdoi
10.1073/pnas.95.18.10774subject
Has Abstractpub_date
1998-09-01 00:00:00pages
10774-8issue
18eissn
0027-8424issn
1091-6490journal_volume
95pub_type
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