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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ftdatacite:10.5061/dryad.qb4gs 2024-06-09T07:48:36+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 https://dx.doi.org/10.5061/dryad.qb4gs https://datadryad.org/stash/dataset/doi:10.5061/dryad.qb4gs en eng Dryad https://dx.doi.org/10.1111/1755-0998.12202 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 Biomedicine Diptera Culicidae Bioinfomatics/Phyloinfomatics Comparative Biology Dataset dataset 2013 ftdatacite https://doi.org/10.5061/dryad.qb4gs10.1111/1755-0998.12202 2024-05-13T10:58:15Z 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 ... : 5P_COI_MSA3P_COI_MSAMosquito_COI ... Dataset Northern Sweden DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
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 ... : 5P_COI_MSA3P_COI_MSAMosquito_COI ... |
format |
Dataset |
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 |
Dryad |
publishDate |
2013 |
url |
https://dx.doi.org/10.5061/dryad.qb4gs https://datadryad.org/stash/dataset/doi:10.5061/dryad.qb4gs |
genre |
Northern Sweden |
genre_facet |
Northern Sweden |
op_relation |
https://dx.doi.org/10.1111/1755-0998.12202 |
op_rights |
Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 |
op_doi |
https://doi.org/10.5061/dryad.qb4gs10.1111/1755-0998.12202 |
_version_ |
1801380382813192192 |