Phylogenetic analysis of the oriental-Palearctic-Afrotropical members of Anopheles (Culicidae: Diptera) based on nuclear rDNA and mitochondrial DNA characteristics.
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State: Public
Version: Final published version
License: Not specified
Serval ID
serval:BIB_CA018372A26F
Type
Article: article from journal or magazin.
Publication sub-type
Minutes: analyse of a published work.
Collection
Publications
Institution
Title
Phylogenetic analysis of the oriental-Palearctic-Afrotropical members of Anopheles (Culicidae: Diptera) based on nuclear rDNA and mitochondrial DNA characteristics.
Journal
Japanese Journal of Infectious Diseases
ISSN
1884-2836 (Electronic)
ISSN-L
1344-6304
Publication state
Published
Issued date
2014
Peer-reviewed
Oui
Volume
67
Number
5
Pages
361-367
Language
english
Abstract
The phylogenetic relationships of Anopheles spp. at the junction of Oriental, Palearctic, and Afrotropical regions in the Iranian plateau were investigated using molecular markers. A 711-bp mitochondrial DNA cytochrome oxidase C subunit I (COI) fragment and the entire second internal transcribed spacer (ITS2) region (286-576 bp) of the nuclear ribosomal DNA (rDNA-ITS2) were sequenced from 14 and 28 taxa, respectively. The analyses included 12 species within Anopheles and 4 within the Myzorhynchus Series of the subgenus Anopheles, 8 within Neocellia, 6 within Myzomyia, 3 within Paramyzomyia, and 1 within the Pyretophorus Series of the subgenus Cellia. The congruent tree topologies of both molecular markers strongly supported monophyly of subgenera Anopheles and Cellia. Phylogenetic trees constructed on the basis of ITS2 sequences could accurately categorize all of the series according to the classical taxonomy but could not distinguish Pyretophorus (Anopheles subpictus) from Paramyzomyia Series. Although sequence data of the COI region were available for only 14 species, the inferred trees revealed good classification among the series but could not show the monophyletic relationship of Cellia spp. Except for a few cases, the tree inferred from ITS2 sequences revealed the best classification for the species studied. The molecular data could significantly improve our understanding of the phylogenetic position of the taxa.
Keywords
Animals, Anopheles/classification, Anopheles/genetics, Cluster Analysis, DNA, Mitochondrial/chemistry, DNA, Mitochondrial/genetics, DNA, Ribosomal Spacer/chemistry, DNA, Ribosomal Spacer/genetics, Electron Transport Complex IV/genetics, Iran, Molecular Sequence Data, Phylogeny, Sequence Analysis, DNA
Pubmed
Web of science
Open Access
Yes
Create date
20/09/2017 9:57
Last modification date
03/01/2020 18:09