Genetic differentiation and demographic history in Drosophila pachea from the Sonoran Desert

16Citations
Citations of this article
41Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Genetic variation at six microsatellite DNA loci and a segment of the mitochondrial cytochrome oxidase subunit I (COI locus was used to estimate gene flow, population structure, and demographic history in the cactophilic Drosophila pache from the Sonoran Desert of North America, a species that shows a strict association with its senita host cactus (genu Lophocereus). For microsatellite analyses, thirteen populations of D. pachea were sampled, five in mainland Mexico and the southwestern USA, and eight on the Baja California (Baja) peninsula, covering essentially the entire range of the species Analysis of molecular variance (AMOVA) of microsatellite data revealed that populations from both the mainland and the Baja peninsula generally showed little structure, although there were a few exceptions, suggesting some local differentiation and restriction of gene flow within both regions. Pairwise comparisons of FST among each of the mainland and Baja populations showed evidence of both panmixia and population subdivision. AMOVA performed on grouped populations from both the mainland and Baja, however, revealed significant partitioning of genetic variation among the two regions, but no partitioning among localities within each region. Bayesian skyline analyses of the COI data set, consisting of four mainland and seven peninsular populations, revealed population expansions dating to the Pleistocene or late Pliocene in D. pachea from both regions, although regional differences were seen in the estimated timing of the expansions and in changes in effective population size over time.

Cite

CITATION STYLE

APA

Pfeiler, E., Erez, T., Hurtado, L. A., & Markow, T. A. (2007). Genetic differentiation and demographic history in Drosophila pachea from the Sonoran Desert. Hereditas, 144(2), 63–74. https://doi.org/10.1111/j.2007.0018-0661.01997.x

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free