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Maximum-likelihood estimation of rates of recombination within mating-type regions.
Takebayashi, Naoki; Newbigin, Ed; Uyenoyama, Marcy K.
Afiliação
  • Takebayashi N; Department of Biology, Duke University, Durham, North Carolina 27708-0338, USA.
Genetics ; 167(4): 2097-109, 2004 Aug.
Article em En | MEDLINE | ID: mdl-15342543
ABSTRACT
Features common to many mating-type regions include recombination suppression over large genomic tracts and cosegregation of genes of various functions, not necessarily related to reproduction. Model systems for homomorphic self-incompatibility (SI) in flowering plants share these characteristics. We introduce a method for the exact computation of the joint probability of numbers of neutral mutations segregating at the determinant of mating type and at a linked marker locus. The underlying Markov model incorporates strong balancing selection into a two-locus coalescent. We apply the method to obtain a maximum-likelihood estimate of the rate of recombination between a marker locus, 48A, and S-RNase, the determinant of SI specificity in pistils of Nicotiana alata. Even though the sampled haplotypes show complete allelic linkage disequilibrium and recombinants have never been detected, a highly significant deficiency of synonymous substitutions at 48A compared to S-RNase suggests a history of recombination. Our maximum-likelihood estimate indicates a rate of recombination of perhaps 3 orders of magnitude greater than the rate of synonymous mutation. This approach may facilitate the construction of genetic maps of regions tightly linked to targets of strong balancing selection.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Recombinação Genética / Cruzamentos Genéticos / Modelos Genéticos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Revista: Genetics Ano de publicação: 2004 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Recombinação Genética / Cruzamentos Genéticos / Modelos Genéticos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Revista: Genetics Ano de publicação: 2004 Tipo de documento: Article