ArticleNeotropical entomology2019
Genetic Analysis of Populations of the Peach Fruit Fly, Bactrocera zonata (Diptera: Tephritidae), in Iran.
Article in Neotropical entomology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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2 citing papers in PubMed, 8 citations in OpenAlex.
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bactrocera zonata (Saunders) as one of the most devastating species of the genus Bactrocera is a notorious polyphagous fruit fly pest attacking lots of commercially important host plant species in many parts of the world including Iran. Despite economic importance, the population genetics of B. zonata have remained relatively unexplored in the country. In this study, the genetic structure, genetic diversity, and demographic history of this pest in Iran were investigated on the basis of cytochrome oxidase c subunit 1 (COI) sequences. A total of 21 haplotypes were identified from 66 individuals collected from seven locations. Genetic diversity indices (number of haplotypes, haplotype diversity, and nucleotide diversity) revealed high genetic diversity without any isolation by distance among the geographic areas. An overall low level of genetic differentiation between populations revealed by genetic structure analysis reinforces the hypothesis of free movement of flies throughout the geographic areas. Non-significant correlation between genetic distances and geographic distances was an indication of a high level of gene flow among the studied populations of the pest. In addition, the recent population expansion following a recent past bottleneck could be a factor that might be contributed to the overall low level of the genetic structure. Mismatch distribution analysis as well as Tajima's D and Fu's F
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