Data from: Identification of Swedish mosquitoes based on molecular barcoding of the COI gene and SNP analysis

Mosquito-borne infectious diseases are emerging in many regions of the world. Consequently, surveillance of mosquitoes and concomitant infectious agents is of great importance for prediction and prevention of mosquito-borne infectious diseases. Currently, morphological identification of mosquitoes i...

Full description

Bibliographic Details
Main Authors: Engdahl, Cecilia, Larsson, Pär, Näslund, Jonas, Bravo, Mayra, Evander, Magnus, Lundstrom, Jan O., Ahlm, Clas, Bucht, Göran
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2013
Subjects:
Online Access:https://doi.org/10.5061/dryad.qb4gs
id ftzenodo:oai:zenodo.org:4995745
record_format openpolar
spelling ftzenodo:oai:zenodo.org:4995745 2024-09-15T18:26:10+00:00 Data from: Identification of Swedish mosquitoes based on molecular barcoding of the COI gene and SNP analysis Engdahl, Cecilia Larsson, Pär Näslund, Jonas Bravo, Mayra Evander, Magnus Lundstrom, Jan O. Ahlm, Clas Bucht, Göran 2013-11-12 https://doi.org/10.5061/dryad.qb4gs unknown Zenodo https://doi.org/10.1111/1755-0998.12202 https://zenodo.org/communities/dryad https://doi.org/10.5061/dryad.qb4gs oai:zenodo.org:4995745 info:eu-repo/semantics/openAccess Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode Biomedicine Diptera: Culicidae Bioinfomatics/Phyloinfomatics Comparative Biology info:eu-repo/semantics/other 2013 ftzenodo https://doi.org/10.5061/dryad.qb4gs10.1111/1755-0998.12202 2024-07-25T20:27:46Z Mosquito-borne infectious diseases are emerging in many regions of the world. Consequently, surveillance of mosquitoes and concomitant infectious agents is of great importance for prediction and prevention of mosquito-borne infectious diseases. Currently, morphological identification of mosquitoes is the traditional procedure. However, sequencing of specified genes or standard genomic regions, DNA barcoding, has recently been suggested as a global standard for identification and classification of many different species. Our aim was to develop a genetic method to identify mosquitoes and to study their relationship. Mosquitoes were captured at collection sites in northern Sweden and identified morphologically before the cytochrome c oxidase subunit I (COI) gene sequences of 14 of the most common mosquito species were determined. The sequences obtained were then used for phylogenetic placement, for validation and benchmarking of phenetic classifications, and finally to develop a hierarchical PCR-based typing scheme based on single nucleotide polymorphism sites (SNPs) to enable rapid genetic identification, circumventing the need for morphological characterization. The results showed that exact phylogenetic relationships between mosquito taxa were preserved at shorter evolutionary distances, but at deeper levels they could not be inferred with confidence by using COI gene sequence data alone. Fourteen of the most common mosquito species in Sweden were identified by the SNP/PCR-based typing scheme, demonstrating that genetic typing using SNPs of the COI gene is a useful method for identification of mosquitoes with potential for worldwide application. 5P_COI_MSA 3P_COI_MSA Mosquito_COI Other/Unknown Material Northern Sweden Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
topic Biomedicine
Diptera: Culicidae
Bioinfomatics/Phyloinfomatics
Comparative Biology
spellingShingle Biomedicine
Diptera: Culicidae
Bioinfomatics/Phyloinfomatics
Comparative Biology
Engdahl, Cecilia
Larsson, Pär
Näslund, Jonas
Bravo, Mayra
Evander, Magnus
Lundstrom, Jan O.
Ahlm, Clas
Bucht, Göran
Data from: Identification of Swedish mosquitoes based on molecular barcoding of the COI gene and SNP analysis
topic_facet Biomedicine
Diptera: Culicidae
Bioinfomatics/Phyloinfomatics
Comparative Biology
description Mosquito-borne infectious diseases are emerging in many regions of the world. Consequently, surveillance of mosquitoes and concomitant infectious agents is of great importance for prediction and prevention of mosquito-borne infectious diseases. Currently, morphological identification of mosquitoes is the traditional procedure. However, sequencing of specified genes or standard genomic regions, DNA barcoding, has recently been suggested as a global standard for identification and classification of many different species. Our aim was to develop a genetic method to identify mosquitoes and to study their relationship. Mosquitoes were captured at collection sites in northern Sweden and identified morphologically before the cytochrome c oxidase subunit I (COI) gene sequences of 14 of the most common mosquito species were determined. The sequences obtained were then used for phylogenetic placement, for validation and benchmarking of phenetic classifications, and finally to develop a hierarchical PCR-based typing scheme based on single nucleotide polymorphism sites (SNPs) to enable rapid genetic identification, circumventing the need for morphological characterization. The results showed that exact phylogenetic relationships between mosquito taxa were preserved at shorter evolutionary distances, but at deeper levels they could not be inferred with confidence by using COI gene sequence data alone. Fourteen of the most common mosquito species in Sweden were identified by the SNP/PCR-based typing scheme, demonstrating that genetic typing using SNPs of the COI gene is a useful method for identification of mosquitoes with potential for worldwide application. 5P_COI_MSA 3P_COI_MSA Mosquito_COI
format Other/Unknown Material
author Engdahl, Cecilia
Larsson, Pär
Näslund, Jonas
Bravo, Mayra
Evander, Magnus
Lundstrom, Jan O.
Ahlm, Clas
Bucht, Göran
author_facet Engdahl, Cecilia
Larsson, Pär
Näslund, Jonas
Bravo, Mayra
Evander, Magnus
Lundstrom, Jan O.
Ahlm, Clas
Bucht, Göran
author_sort Engdahl, Cecilia
title Data from: Identification of Swedish mosquitoes based on molecular barcoding of the COI gene and SNP analysis
title_short Data from: Identification of Swedish mosquitoes based on molecular barcoding of the COI gene and SNP analysis
title_full Data from: Identification of Swedish mosquitoes based on molecular barcoding of the COI gene and SNP analysis
title_fullStr Data from: Identification of Swedish mosquitoes based on molecular barcoding of the COI gene and SNP analysis
title_full_unstemmed Data from: Identification of Swedish mosquitoes based on molecular barcoding of the COI gene and SNP analysis
title_sort data from: identification of swedish mosquitoes based on molecular barcoding of the coi gene and snp analysis
publisher Zenodo
publishDate 2013
url https://doi.org/10.5061/dryad.qb4gs
genre Northern Sweden
genre_facet Northern Sweden
op_relation https://doi.org/10.1111/1755-0998.12202
https://zenodo.org/communities/dryad
https://doi.org/10.5061/dryad.qb4gs
oai:zenodo.org:4995745
op_rights info:eu-repo/semantics/openAccess
Creative Commons Zero v1.0 Universal
https://creativecommons.org/publicdomain/zero/1.0/legalcode
op_doi https://doi.org/10.5061/dryad.qb4gs10.1111/1755-0998.12202
_version_ 1810466613459156992