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: Article in Journal/Newspaper
Language:unknown
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/10255/dryad.55898
https://doi.org/10.5061/dryad.qb4gs
id ftdryad:oai:v1.datadryad.org:10255/dryad.55898
record_format openpolar
spelling ftdryad:oai:v1.datadryad.org:10255/dryad.55898 2023-05-15T17:44:52+02:00 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 Sweden global 2013-11-12T14:16:12Z http://hdl.handle.net/10255/dryad.55898 https://doi.org/10.5061/dryad.qb4gs unknown doi:10.5061/dryad.qb4gs/1 doi:10.5061/dryad.qb4gs/2 doi:10.5061/dryad.qb4gs/3 doi:10.1111/1755-0998.12202 PMID:24215491 doi:10.5061/dryad.qb4gs Engdahl C, Larsson P, Näslund J, Bravo M, Evander M, Lundstrom J, Ahlm C, Bucht G (2013) Identification of Swedish mosquitoes based on molecular barcoding of the COI gene and SNP analysis. Molecular Ecology Resources 14(3): 478–488. http://hdl.handle.net/10255/dryad.55898 Bioinfomatics/Phyloinfomatics DNA Barcoding Insects Biomedicine Comparative Biology Ecological Genetics Article 2013 ftdryad https://doi.org/10.5061/dryad.qb4gs https://doi.org/10.5061/dryad.qb4gs/1 https://doi.org/10.5061/dryad.qb4gs/2 https://doi.org/10.5061/dryad.qb4gs/3 https://doi.org/10.1111/1755-0998.12202 2020-01-01T15:04:40Z 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. Article in Journal/Newspaper Northern Sweden Dryad Digital Repository (Duke University)
institution Open Polar
collection Dryad Digital Repository (Duke University)
op_collection_id ftdryad
language unknown
topic Bioinfomatics/Phyloinfomatics
DNA Barcoding
Insects
Biomedicine
Comparative Biology
Ecological Genetics
spellingShingle Bioinfomatics/Phyloinfomatics
DNA Barcoding
Insects
Biomedicine
Comparative Biology
Ecological Genetics
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 Bioinfomatics/Phyloinfomatics
DNA Barcoding
Insects
Biomedicine
Comparative Biology
Ecological Genetics
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.
format Article in Journal/Newspaper
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
publishDate 2013
url http://hdl.handle.net/10255/dryad.55898
https://doi.org/10.5061/dryad.qb4gs
op_coverage Sweden
global
genre Northern Sweden
genre_facet Northern Sweden
op_relation doi:10.5061/dryad.qb4gs/1
doi:10.5061/dryad.qb4gs/2
doi:10.5061/dryad.qb4gs/3
doi:10.1111/1755-0998.12202
PMID:24215491
doi:10.5061/dryad.qb4gs
Engdahl C, Larsson P, Näslund J, Bravo M, Evander M, Lundstrom J, Ahlm C, Bucht G (2013) Identification of Swedish mosquitoes based on molecular barcoding of the COI gene and SNP analysis. Molecular Ecology Resources 14(3): 478–488.
http://hdl.handle.net/10255/dryad.55898
op_doi https://doi.org/10.5061/dryad.qb4gs
https://doi.org/10.5061/dryad.qb4gs/1
https://doi.org/10.5061/dryad.qb4gs/2
https://doi.org/10.5061/dryad.qb4gs/3
https://doi.org/10.1111/1755-0998.12202
_version_ 1766147168361512960