Parasites & Vectors · 2014 · 36 citations · 50 references
Life SciencesBiologyEntomologyMolecular EvolutionPhylogeneticsSequence AnalysisInsect PhylogeneticsMolecular PhylogeneticsMolecular PhylogenyMosquito BiologyPhylogenetic AnalysisPhylogenetic Sequence AnalysisAnopheles Mosquito BiologyAnopheles MosquitoesDna ExtractionMosquito SpeciationPhylogenetic Tree InferenceRibosomal Dna AnalysisRibosomal Dna PhylogeneticsSpatial Genetic Diversity
BACKGROUND: Molecular techniques are invaluable for investigation on the biodiversity of Anopheles mosquitoes. This study aimed at investigating the spatial-genetic variations among Anopheles mosquitoes from different areas of Peninsular Malaysia, as well as deciphering evolutionary relationships of the local Anopheles mosquitoes with the mosquitoes from neighbouring countries using the anopheline ITS2 rDNA gene. METHODS: Mosquitoes were collected, identified, dissected to check infection status, and DNA extraction was performed for PCR with primers targeting the ITS2 rDNA region. Sequencing was done and phylogenetic tree was constructed to study the evolutionary relationship among Anopheles mosquitoes within Peninsular Malaysia, as well as across the Asian region. RESULTS: A total of 133 Anopheles mosquitoes consisting of six different species were collected from eight different locations across Peninsular Malaysia. Of these, 65 ITS2 rDNA sequences were obtained. The ITS2 rDNA amplicons of the studied species were of different sizes. One collected species, Anopheles sinensis, shows two distinct pools of population in Peninsular Malaysia, suggesting evolvement of geographic race or allopatric speciation. CONCLUSION: Anopheles mosquitoes from Peninsular Malaysia show close evolutionary relationship with the Asian anophelines. Nevertheless, genetic differences due to geographical segregation can be seen. Meanwhile, some Anopheles mosquitoes in Peninsular Malaysia show vicariance, exemplified by the emergence of distinct cluster of An. sinensis population.
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MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) Software Version 4.0
Koichiro Tamura, Joel T. Dudley, M Nei et al. · Molecular Biology and Evolution · 2007 · 28.8K citations · Full text
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