Literature DB >> 12653931

Mitochondrial diversity evaluated by the single strand conformation polymorphism method in African and North American house flies (Musca domestica L.).

J G Marquez1, E S Krafsur.   

Abstract

Single strand conformation polymorphisms (SSCPs) provide a convenient and inexpensive method of surveying mitochondrial genetic variation in large samples. We investigated how much variation should be incorporated into such surveys by scoring SSCP variation at eight mitochondrial loci in each of four sub-Saharan African and four North American house fly (Diptera: Muscidae.) populations. Hierarchical analysis of diversity was performed on haplotype frequencies at each locus and on haplotype frequencies formed by combining haplotypes from two, three, four, five and eight loci. Composite haplotypes at two loci were as informative about population structure as those composed of a greater number of loci. Increasing the number of loci increased diversity estimates within, but not between, populations. Mean composite haplotype diversities (16S2 and COII) were 0.49 +/- 0.09 among the African populations and 0.32 +/- 0.08 among the North American populations. Only two of 16 haplotypes were shared between continents. Nei's genetic differentiation statistic between populations in continents GPC was 0.30 +/- 0.06 and mean genetic differentiation between continents GCT was 0.39 +/- 0.06. We conclude that there has been little detectable gene flow between North America and sub-Saharan Africa.

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Year:  2003        PMID: 12653931     DOI: 10.1046/j.1365-2583.2003.00391.x

Source DB:  PubMed          Journal:  Insect Mol Biol        ISSN: 0962-1075            Impact factor:   3.585


  3 in total

1.  Mitochondrial diversity analysis of Glossina palpalis gambiensis from Mali and Senegal.

Authors:  J G Marquez; M J B Vreysen; A S Robinson; S Bado; E S Krafsur
Journal:  Med Vet Entomol       Date:  2004-09       Impact factor: 2.739

2.  Use of necrophagous insects as evidence of cadaver relocation: myth or reality?

Authors:  Damien Charabidze; Matthias Gosselin; Valéry Hedouin
Journal:  PeerJ       Date:  2017-08-01       Impact factor: 2.984

3.  Integrated genome-wide investigations of the housefly, a global vector of diseases reveal unique dispersal patterns and bacterial communities across farms.

Authors:  Simon Bahrndorff; Aritz Ruiz-González; Nadieh de Jonge; Jeppe Lund Nielsen; Henrik Skovgård; Cino Pertoldi
Journal:  BMC Genomics       Date:  2020-01-21       Impact factor: 3.969

  3 in total

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