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...
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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) |
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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 |