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A multi-locus approach to barcoding in the Anopheles strodei subgroup (Diptera: Culicidae)

BACKGROUND: The ability to successfully identify and incriminate pathogen vectors is fundamental to effective pathogen control and management. This task is confounded by the existence of cryptic species complexes. Molecular markers can offer a highly effective means of species identification in such...

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Autores principales: Bourke, Brian Patrick, Oliveira, Tatiane Porangaba, Suesdek, Lincoln, Bergo, Eduardo Sterlino, Sallum, Maria Anice Mureb
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3641011/
https://www.ncbi.nlm.nih.gov/pubmed/23597081
http://dx.doi.org/10.1186/1756-3305-6-111
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author Bourke, Brian Patrick
Oliveira, Tatiane Porangaba
Suesdek, Lincoln
Bergo, Eduardo Sterlino
Sallum, Maria Anice Mureb
author_facet Bourke, Brian Patrick
Oliveira, Tatiane Porangaba
Suesdek, Lincoln
Bergo, Eduardo Sterlino
Sallum, Maria Anice Mureb
author_sort Bourke, Brian Patrick
collection PubMed
description BACKGROUND: The ability to successfully identify and incriminate pathogen vectors is fundamental to effective pathogen control and management. This task is confounded by the existence of cryptic species complexes. Molecular markers can offer a highly effective means of species identification in such complexes and are routinely employed in the study of medical entomology. Here we evaluate a multi-locus system for the identification of potential malaria vectors in the Anopheles strodei subgroup. METHODS: Larvae, pupae and adult mosquitoes (n = 61) from the An. strodei subgroup were collected from 21 localities in nine Brazilian states and sequenced for the COI, ITS2 and white gene. A Bayesian phylogenetic approach was used to describe the relationships in the Strodei Subgroup and the utility of COI and ITS2 barcodes was assessed using the neighbor joining tree and “best close match” approaches. RESULTS: Bayesian phylogenetic analysis of the COI, ITS2 and white gene found support for seven clades in the An. strodei subgroup. The COI and ITS2 barcodes were individually unsuccessful at resolving and identifying some species in the Subgroup. The COI barcode failed to resolve An. albertoi and An. strodei but successfully identified approximately 92% of all species queries, while the ITS2 barcode failed to resolve An. arthuri and successfully identified approximately 60% of all species queries. A multi-locus COI-ITS2 barcode, however, resolved all species in a neighbor joining tree and successfully identified all species queries using the “best close match” approach. CONCLUSIONS: Our study corroborates the existence of An. albertoi, An. CP Form and An. strodei in the An. strodei subgroup and identifies four species under An. arthuri informally named A-D herein. The use of a multi-locus barcode is proposed for species identification, which has potentially important utility for vector incrimination. Individuals previously found naturally infected with Plasmodium vivax in the southern Amazon basin and reported as An. strodei are likely to have been from An. arthuri C identified in this study.
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spelling pubmed-36410112013-05-02 A multi-locus approach to barcoding in the Anopheles strodei subgroup (Diptera: Culicidae) Bourke, Brian Patrick Oliveira, Tatiane Porangaba Suesdek, Lincoln Bergo, Eduardo Sterlino Sallum, Maria Anice Mureb Parasit Vectors Research BACKGROUND: The ability to successfully identify and incriminate pathogen vectors is fundamental to effective pathogen control and management. This task is confounded by the existence of cryptic species complexes. Molecular markers can offer a highly effective means of species identification in such complexes and are routinely employed in the study of medical entomology. Here we evaluate a multi-locus system for the identification of potential malaria vectors in the Anopheles strodei subgroup. METHODS: Larvae, pupae and adult mosquitoes (n = 61) from the An. strodei subgroup were collected from 21 localities in nine Brazilian states and sequenced for the COI, ITS2 and white gene. A Bayesian phylogenetic approach was used to describe the relationships in the Strodei Subgroup and the utility of COI and ITS2 barcodes was assessed using the neighbor joining tree and “best close match” approaches. RESULTS: Bayesian phylogenetic analysis of the COI, ITS2 and white gene found support for seven clades in the An. strodei subgroup. The COI and ITS2 barcodes were individually unsuccessful at resolving and identifying some species in the Subgroup. The COI barcode failed to resolve An. albertoi and An. strodei but successfully identified approximately 92% of all species queries, while the ITS2 barcode failed to resolve An. arthuri and successfully identified approximately 60% of all species queries. A multi-locus COI-ITS2 barcode, however, resolved all species in a neighbor joining tree and successfully identified all species queries using the “best close match” approach. CONCLUSIONS: Our study corroborates the existence of An. albertoi, An. CP Form and An. strodei in the An. strodei subgroup and identifies four species under An. arthuri informally named A-D herein. The use of a multi-locus barcode is proposed for species identification, which has potentially important utility for vector incrimination. Individuals previously found naturally infected with Plasmodium vivax in the southern Amazon basin and reported as An. strodei are likely to have been from An. arthuri C identified in this study. BioMed Central 2013-04-19 /pmc/articles/PMC3641011/ /pubmed/23597081 http://dx.doi.org/10.1186/1756-3305-6-111 Text en Copyright © 2013 Bourke et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Bourke, Brian Patrick
Oliveira, Tatiane Porangaba
Suesdek, Lincoln
Bergo, Eduardo Sterlino
Sallum, Maria Anice Mureb
A multi-locus approach to barcoding in the Anopheles strodei subgroup (Diptera: Culicidae)
title A multi-locus approach to barcoding in the Anopheles strodei subgroup (Diptera: Culicidae)
title_full A multi-locus approach to barcoding in the Anopheles strodei subgroup (Diptera: Culicidae)
title_fullStr A multi-locus approach to barcoding in the Anopheles strodei subgroup (Diptera: Culicidae)
title_full_unstemmed A multi-locus approach to barcoding in the Anopheles strodei subgroup (Diptera: Culicidae)
title_short A multi-locus approach to barcoding in the Anopheles strodei subgroup (Diptera: Culicidae)
title_sort multi-locus approach to barcoding in the anopheles strodei subgroup (diptera: culicidae)
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3641011/
https://www.ncbi.nlm.nih.gov/pubmed/23597081
http://dx.doi.org/10.1186/1756-3305-6-111
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