Document Detail


Hitchhiking and associative overdominance at a microsatellite locus.
MedLine Citation:
PMID:  7739389     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The possible effects of a selected locus on a closely linked microsatellite locus are discussed and analyzed in terms of coalescent theory and models of the mutation process. Background selection caused by recurrent deleterious mutations will reduce the variance of allele size at a microsatellite locus. The occasional substitution of advantageous alleles (genetic hitchhiking) will also reduce the variance, but a high mutation rate at a microsatellite locus can restore the variance relatively rapidly. Overdominance at the selected locus will increase the variance at the microsatellite locus and create partitioning of the variation in allele size among gametes carrying one or the other of the overdominant alleles. These results suggest that neutral microsatellite loci can provide indicators of selective processes at closely linked loci.
Authors:
M Slatkin
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Molecular biology and evolution     Volume:  12     ISSN:  0737-4038     ISO Abbreviation:  Mol. Biol. Evol.     Publication Date:  1995 May 
Date Detail:
Created Date:  1995-06-07     Completed Date:  1995-06-07     Revised Date:  2008-11-21    
Medline Journal Info:
Nlm Unique ID:  8501455     Medline TA:  Mol Biol Evol     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  473-80     Citation Subset:  IM    
Affiliation:
Department of Integrative Biology, University of California at Berkeley, 94720, USA.
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MeSH Terms
Descriptor/Qualifier:
Alleles
Chromosome Mapping
DNA, Satellite / genetics*
Genes, Dominant / genetics
Genetic Variation / genetics
Linkage (Genetics)
Models, Genetic*
Mutation
Grant Support
ID/Acronym/Agency:
R01-GM40282/GM/NIGMS NIH HHS
Chemical
Reg. No./Substance:
0/DNA, Satellite

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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