Linked Life Data

16135710

Source:http://linkedlifedata.com/resource/pubmed/id/16135710

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2005-9-20
pubmed:abstractText
Gene flow over very large geographic scales has been investigated in few species. Examples include Drosophila melanogaster, Drosophila subobscura, Drosophila simulans, and the Mediterranean fruit fly (Ceratitis capitata). The cosmopolitan house fly, a highly vagile, fecund, colonizing species offers an additional exemplar. Genotypes at seven microsatellite loci were scored in 14 widely separated natural house fly populations from the Nearctic, neotropics, Afrotropics, Palearctic, and Asia. Allelic diversities and heterozygosities differed significantly among populations. Averaged over all populations, Weir and Cockerham's theta = 0.13 and RST = 0.20. Pairwise genetic distance measures were uncorrelated with geographic distance. Microsatellite frequencies were compared with mitochondrial data from 13 of the same populations in which theta = 0.35 and Nei's GST = 0.72. Mitochondrial variation indicated up to threefold greater indices of genetic differentiation than the microsatellites. We were unable to draw any biogeographical inferences from these results or from tree or network topologies constructed from the genetic data. It is likely that high microsatellite diversities, mutation rates, and homoplasy greatly compromised their usefulness in estimating gene flow. House fly colonization dynamics include a large number of primary and secondary colonizations coupled with substantial genetic drift, but no detectable bottlenecks.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
0022-1503
pubmed:author
pubmed:issnType
Print
pubmed:volume
96
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
502-12
pubmed:dateRevised
2008-11-21
pubmed:meshHeading
pubmed:articleTitle
Geographic differentiation in the house fly estimated by microsatellite and mitochondrial variation.
pubmed:affiliation
Department of Entomology, Iowa State University, Ames, IA 50011, USA. ekrafsur@iastate.edu
pubmed:publicationType
Journal Article, Comparative Study