title: The evolution of tandemly repetitive DNA: recombination rules.
abstract: Variable numbers of tandem repeats (VNTRs), which include hypervariable regions, minisatellites and microsatellites, can be assigned together with satellite DNAs to define a class of noncoding tandemly repetitive DNA (TR-DNA). The evolution of TR-DNA is assumed to be driven by an unbiased recombinational process. A simulation model of unequal exchange is presented and used to investigate the evolutionary persistence of single TR-DNA lineages. Three different recombination rules are specified to govern the expansion and contraction of a TR-DNA lineage from an initial array of two repeats to, finally, a single repeat allele, which cannot participate in a misalignment and exchange process. In the absence of amplification or selection acting to bias array evolution toward expansion, the probability of attaining a target array size is a function only of the initial number of repeats. We show that the proportions of lineages attaining a targeted array size are the same irrespective of recombination rule and rate, demonstrating that our simulation model is well behaved. The time taken to attain a target array size, the persistence of the target array, and the total persistence time of repetitive array structure, are functions of the initial number of repeats, the rate of recombination, and the rules of misalignment preceding recombinational exchange. These relationships are investigated using our simulation model. While misalignment constraint is probably greatest for satellite DNA it also seems important in accounting for the evolution of VNTR loci including minisatellites. This conclusion is consistent with the observed nonrandom distributions of VNTRs and other TR-DNAs in the human genome.
authors: MRC Molecular Haematology Unit, University of Oxford, John Radcliffe Hospital, Headington, Oxford, England.
authors: R M
authors: RM
authors: Harding
authors: A J
authors: AJ
authors: Boyce
authors: J B
authors: JB
authors: Clegg
mesh_terms: D005075:Biological Evolution; D003198:Computer Simulation; D008957:Models, Genetic; D009010:Monte Carlo Method; D011995:Recombination, Genetic; D012091:Repetitive Sequences, Nucleic Acid