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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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 |
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Biomedicine Diptera: Culicidae Bioinfomatics/Phyloinfomatics Comparative Biology |
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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 |