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Sequence-based identification of Anopheles species in eastern Ethiopia
BACKGROUND: The recent finding of a typically non-African Anopheles species in eastern Ethiopia emphasizes the need for detailed species identification and characterization for effective malaria vector surveillance. Molecular approaches increase the accuracy and interoperability of vector surveillan...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6469081/ https://www.ncbi.nlm.nih.gov/pubmed/30992003 http://dx.doi.org/10.1186/s12936-019-2768-0 |
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author | Carter, Tamar E. Yared, Solomon Hansel, Shantoy Lopez, Karen Janies, Daniel |
author_facet | Carter, Tamar E. Yared, Solomon Hansel, Shantoy Lopez, Karen Janies, Daniel |
author_sort | Carter, Tamar E. |
collection | PubMed |
description | BACKGROUND: The recent finding of a typically non-African Anopheles species in eastern Ethiopia emphasizes the need for detailed species identification and characterization for effective malaria vector surveillance. Molecular approaches increase the accuracy and interoperability of vector surveillance data. To develop effective molecular assays for Anopheles identification, it is important to evaluate different genetic loci for the ability to characterize species and population level variation. Here the utility of the internal transcribed spacer 2 (ITS2) and cytochrome oxidase I (COI) loci for detection of Anopheles species from understudied regions of eastern Ethiopia was investigated. METHODS: Adult mosquitoes were collected from the Harewe locality (east) and Meki (east central) Ethiopia. PCR and Sanger sequencing were performed for portions of the ITS2 and COI loci. Both NCBI’s Basic Local Alignment Search tool (BLAST) and phylogenetic analysis using a maximum-likelihood approach were performed to identify species of Anopheles specimens. RESULTS: Two species from the east Ethiopian collection, Anopheles arabiensis and Anopheles pretoriensis were identified. Analyses of ITS2 locus resulted in delineation of both species. In contrast, analysis of COI locus could not be used to delineate An. arabiensis from other taxa in Anopheles gambiae complex, but could distinguish An. pretoriensis sequences from sister taxa. CONCLUSION: The lack of clarity from COI sequence analysis highlights potential challenges of species identification within species complexes. These results provide supporting data for the development of molecular assays for delineation of Anopheles in east Ethiopia. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12936-019-2768-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6469081 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-64690812019-04-23 Sequence-based identification of Anopheles species in eastern Ethiopia Carter, Tamar E. Yared, Solomon Hansel, Shantoy Lopez, Karen Janies, Daniel Malar J Research BACKGROUND: The recent finding of a typically non-African Anopheles species in eastern Ethiopia emphasizes the need for detailed species identification and characterization for effective malaria vector surveillance. Molecular approaches increase the accuracy and interoperability of vector surveillance data. To develop effective molecular assays for Anopheles identification, it is important to evaluate different genetic loci for the ability to characterize species and population level variation. Here the utility of the internal transcribed spacer 2 (ITS2) and cytochrome oxidase I (COI) loci for detection of Anopheles species from understudied regions of eastern Ethiopia was investigated. METHODS: Adult mosquitoes were collected from the Harewe locality (east) and Meki (east central) Ethiopia. PCR and Sanger sequencing were performed for portions of the ITS2 and COI loci. Both NCBI’s Basic Local Alignment Search tool (BLAST) and phylogenetic analysis using a maximum-likelihood approach were performed to identify species of Anopheles specimens. RESULTS: Two species from the east Ethiopian collection, Anopheles arabiensis and Anopheles pretoriensis were identified. Analyses of ITS2 locus resulted in delineation of both species. In contrast, analysis of COI locus could not be used to delineate An. arabiensis from other taxa in Anopheles gambiae complex, but could distinguish An. pretoriensis sequences from sister taxa. CONCLUSION: The lack of clarity from COI sequence analysis highlights potential challenges of species identification within species complexes. These results provide supporting data for the development of molecular assays for delineation of Anopheles in east Ethiopia. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12936-019-2768-0) contains supplementary material, which is available to authorized users. BioMed Central 2019-04-16 /pmc/articles/PMC6469081/ /pubmed/30992003 http://dx.doi.org/10.1186/s12936-019-2768-0 Text en © The Author(s) 2019 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. |
spellingShingle | Research Carter, Tamar E. Yared, Solomon Hansel, Shantoy Lopez, Karen Janies, Daniel Sequence-based identification of Anopheles species in eastern Ethiopia |
title | Sequence-based identification of Anopheles species in eastern Ethiopia |
title_full | Sequence-based identification of Anopheles species in eastern Ethiopia |
title_fullStr | Sequence-based identification of Anopheles species in eastern Ethiopia |
title_full_unstemmed | Sequence-based identification of Anopheles species in eastern Ethiopia |
title_short | Sequence-based identification of Anopheles species in eastern Ethiopia |
title_sort | sequence-based identification of anopheles species in eastern ethiopia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6469081/ https://www.ncbi.nlm.nih.gov/pubmed/30992003 http://dx.doi.org/10.1186/s12936-019-2768-0 |
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