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      Molecular characterization of Anopheline (Diptera: Culicidae) mosquitoes from eight geographical locations of Sri Lanka

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          Abstract

          Background

          Genus Anopheles is a major mosquito group of interest in Sri Lanka as it includes vectors of malaria and its members exist as species complexes. Taxonomy of the group is mainly based on morphological features, which are not conclusive and can be easily erased while handling the specimens. A combined effort, using morphology and DNA barcoding (using the markers cytochrome c oxidase subunit I ( COI) gene and internal transcribed spacer 2 (ITS2) region, was made during the present study to recognize anophelines collected from eight districts of Sri Lanka for the first time.

          Methods

          Cytochrome c oxidase subunit I and ITS2 regions of morphologically identified anopheline mosquitoes from Sri Lanka were sequenced. These sequences together with GenBank sequences were used in phylogenetic tree construction and molecular characterization of mosquitoes.

          Results

          According to morphological identification, the field-collected adult mosquitoes belonged to 15 species, i.e., Anopheles aconitus, Anopheles annularis, Anopheles barbirostris, Anopheles culicifacies, Anopheles jamesii, Anopheles karwari, Anopheles maculatus, Anopheles nigerrimus, Anopheles pallidus , Anopheles peditaeniatus, Anopheles pseudojamesi, Anopheles subpictus, Anopheles tessellatus, Anopheles vagus, and Anopheles varuna. However, analysis of 123 COI sequences (445 bp) (16 clades supported by strong bootstrap value in the neighbour joining tree and inter-specific distances of >3%) showed that there are 16 distinct species. Identity of the morphologically identified species, except An. subpictus, was comparable with the DNA barcoding results. COI sequence analysis showed that morphologically identified An. subpictus is composed of two genetic entities: An. subpictus species A and species B (inter-specific K2P distance 0.128). All the four haplotypes of An. culicifacies discovered during the present study belonged to a single species. ITS2 sequences (542 bp) were obtained for all the species except for An. barbirostris, An. subpictus species B, An. tessellatus, and An. varuna. Each of these sequences was represented by a single species-specific haplotype.

          Conclusions

          The present study reflects the importance and feasibility of COI and ITS2 genetic markers in identifying anophelines and their sibling species, and the significance of integrated systematic approach in mosquito taxonomy. Wide distribution of malaria vectors in the country perhaps indicates the potential for re-emergence of malaria in the country.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s12936-017-1876-y) contains supplementary material, which is available to authorized users.

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          Most cited references42

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          The dominant Anopheles vectors of human malaria in the Asia-Pacific region: occurrence data, distribution maps and bionomic précis

          Background The final article in a series of three publications examining the global distribution of 41 dominant vector species (DVS) of malaria is presented here. The first publication examined the DVS from the Americas, with the second covering those species present in Africa, Europe and the Middle East. Here we discuss the 19 DVS of the Asian-Pacific region. This region experiences a high diversity of vector species, many occurring sympatrically, which, combined with the occurrence of a high number of species complexes and suspected species complexes, and behavioural plasticity of many of these major vectors, adds a level of entomological complexity not comparable elsewhere globally. To try and untangle the intricacy of the vectors of this region and to increase the effectiveness of vector control interventions, an understanding of the contemporary distribution of each species, combined with a synthesis of the current knowledge of their behaviour and ecology is needed. Results Expert opinion (EO) range maps, created with the most up-to-date expert knowledge of each DVS distribution, were combined with a contemporary database of occurrence data and a suite of open access, environmental and climatic variables. Using the Boosted Regression Tree (BRT) modelling method, distribution maps of each DVS were produced. The occurrence data were abstracted from the formal, published literature, plus other relevant sources, resulting in the collation of DVS occurrence at 10116 locations across 31 countries, of which 8853 were successfully geo-referenced and 7430 were resolved to spatial areas that could be included in the BRT model. A detailed summary of the information on the bionomics of each species and species complex is also presented. Conclusions This article concludes a project aimed to establish the contemporary global distribution of the DVS of malaria. The three articles produced are intended as a detailed reference for scientists continuing research into the aspects of taxonomy, biology and ecology relevant to species-specific vector control. This research is particularly relevant to help unravel the complicated taxonomic status, ecology and epidemiology of the vectors of the Asia-Pacific region. All the occurrence data, predictive maps and EO-shape files generated during the production of these publications will be made available in the public domain. We hope that this will encourage data sharing to improve future iterations of the distribution maps.
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            DNA barcoding: complementing morphological identification of mosquito species in Singapore

            Background Taxonomy that utilizes morphological characteristics has been the gold standard method to identify mosquito species. However, morphological identification is challenging when the expertise is limited and external characters are damaged because of improper specimen handling. Therefore, we explored the applicability of mitochondrial cytochrome C oxidase subunit 1 (COI) gene-based DNA barcoding as an alternative tool to identify mosquito species. In the present study, we compared the morphological identification of mosquito specimens with their differentiation based on COI barcode, in order to establish a more reliable identification system for mosquito species found in Singapore. Methods We analysed 128 adult mosquito specimens, belonging to 45 species of 13 genera. Phylogenetic trees were constructed for Aedes, Anopheles, Culex and other genera of mosquitoes and the distinctive clustering of different species was compared with their taxonomic identity. Results The COI-based DNA barcoding achieved a 100% success rate in identifying the mosquito species. We also report COI barcode sequences of 16 mosquito species which were not available previously in sequence databases. Conclusions Our study utilised for the first time DNA barcoding to identify mosquito species in Singapore. COI-based DNA barcoding is a useful tool to complement taxonomy-based identification of mosquito species. Electronic supplementary material The online version of this article (doi:10.1186/s13071-014-0569-4) contains supplementary material, which is available to authorized users.
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              Analyzing Mosquito (Diptera: Culicidae) Diversity in Pakistan by DNA Barcoding

              Background Although they are important disease vectors mosquito biodiversity in Pakistan is poorly known. Recent epidemics of dengue fever have revealed the need for more detailed understanding of the diversity and distributions of mosquito species in this region. DNA barcoding improves the accuracy of mosquito inventories because morphological differences between many species are subtle, leading to misidentifications. Methodology/Principal Findings Sequence variation in the barcode region of the mitochondrial COI gene was used to identify mosquito species, reveal genetic diversity, and map the distribution of the dengue-vector species in Pakistan. Analysis of 1684 mosquitoes from 491 sites in Punjab and Khyber Pakhtunkhwa during 2010–2013 revealed 32 species with the assemblage dominated by Culex quinquefasciatus (61% of the collection). The genus Aedes (Stegomyia) comprised 15% of the specimens, and was represented by six taxa with the two dengue vector species, Ae. albopictus and Ae. aegypti, dominant and broadly distributed. Anopheles made up another 6% of the catch with An. subpictus dominating. Barcode sequence divergence in conspecific specimens ranged from 0–2.4%, while congeneric species showed from 2.3–17.8% divergence. A global haplotype analysis of disease-vectors showed the presence of multiple haplotypes, although a single haplotype of each dengue-vector species was dominant in most countries. Geographic distribution of Ae. aegypti and Ae. albopictus showed the later species was dominant and found in both rural and urban environments. Conclusions As the first DNA-based analysis of mosquitoes in Pakistan, this study has begun the construction of a barcode reference library for the mosquitoes of this region. Levels of genetic diversity varied among species. Because of its capacity to differentiate species, even those with subtle morphological differences, DNA barcoding aids accurate tracking of vector populations.
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                Author and article information

                Contributors
                tcweerarathne@yahoo.com
                surendransn@gmail.com
                lisa.reimer@lstmed.ac.uk
                charles.wondji@lstmed.ac.uk
                devikap10@yahoo.com
                catherine.walton@manchester.ac.uk
                shppk@pdn.ac.lk , shppkaru@yahoo.com
                Journal
                Malar J
                Malar. J
                Malaria Journal
                BioMed Central (London )
                1475-2875
                2 June 2017
                2 June 2017
                2017
                : 16
                : 234
                Affiliations
                [1 ]ISNI 0000 0000 9816 8637, GRID grid.11139.3b, Department of Zoology, Faculty of Science, , University of Peradeniya, ; Peradeniya, Sri Lanka
                [2 ]ISNI 0000 0001 0156 4834, GRID grid.412985.3, Department of Zoology, Faculty of Science, , University of Jaffna, ; Jaffna, Sri Lanka
                [3 ]ISNI 0000 0004 1936 9764, GRID grid.48004.38, , Liverpool School of Tropical Medicine, ; Liverpool, UK
                [4 ]Regional Malaria Office, Kurunegala, Sri Lanka
                [5 ]ISNI 0000000121662407, GRID grid.5379.8, School of Earth and Environment, Faculty of Science and Engineering, , University of Manchester, ; Manchester, UK
                [6 ]ISNI 0000 0004 0636 3697, GRID grid.419020.e, , National Institute of Fundamental Studies, ; Hantana, Kandy, Sri Lanka
                Article
                1876
                10.1186/s12936-017-1876-y
                5457728
                28049519
                fe788ade-8beb-4fd9-8956-09e915e3bb27
                © The Author(s) 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 13 February 2017
                : 25 May 2017
                Categories
                Research
                Custom metadata
                © The Author(s) 2017

                Infectious disease & Microbiology
                anopheles,dna barcoding,coi,its2,mosquitoes,taxonomy,sri lanka
                Infectious disease & Microbiology
                anopheles, dna barcoding, coi, its2, mosquitoes, taxonomy, sri lanka

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