Data from: Identification of Swedish mosquitoes based on molecular barcoding of the COI gene and SNP analysis
5P_COI_MSA3P_COI_MSAMosquito_COI 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, morphologic...
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fttriple:oai:gotriple.eu:50|dedup_wf_001::f4d28ed8a7b981201e16b7841ff93aa6 2023-05-15T17:44:53+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 2020-06-25 https://doi.org/10.5061/dryad.qb4gs undefined unknown http://dx.doi.org/10.5061/dryad.qb4gs https://dx.doi.org/10.5061/dryad.qb4gs lic_creative-commons oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:84689 oai:easy.dans.knaw.nl:easy-dataset:84689 10.5061/dryad.qb4gs 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f re3data_____::r3d100000044 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c Life sciences medicine and health care DNA Barcoding Biomedicine insects Diptera: Culicidae Bioinfomatics/Phyloinfomatics Comparative Biology Ecological Genetics Sweden global stat envir Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2020 fttriple https://doi.org/10.5061/dryad.qb4gs 2023-01-22T16:51:06Z 5P_COI_MSA3P_COI_MSAMosquito_COI 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. Dataset Northern Sweden Unknown |
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Open Polar |
collection |
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op_collection_id |
fttriple |
language |
unknown |
topic |
Life sciences medicine and health care DNA Barcoding Biomedicine insects Diptera: Culicidae Bioinfomatics/Phyloinfomatics Comparative Biology Ecological Genetics Sweden global stat envir |
spellingShingle |
Life sciences medicine and health care DNA Barcoding Biomedicine insects Diptera: Culicidae Bioinfomatics/Phyloinfomatics Comparative Biology Ecological Genetics Sweden global stat envir 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 |
Life sciences medicine and health care DNA Barcoding Biomedicine insects Diptera: Culicidae Bioinfomatics/Phyloinfomatics Comparative Biology Ecological Genetics Sweden global stat envir |
description |
5P_COI_MSA3P_COI_MSAMosquito_COI 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 |
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 |
publishDate |
2020 |
url |
https://doi.org/10.5061/dryad.qb4gs |
genre |
Northern Sweden |
genre_facet |
Northern Sweden |
op_source |
oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:84689 oai:easy.dans.knaw.nl:easy-dataset:84689 10.5061/dryad.qb4gs 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f re3data_____::r3d100000044 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c |
op_relation |
http://dx.doi.org/10.5061/dryad.qb4gs https://dx.doi.org/10.5061/dryad.qb4gs |
op_rights |
lic_creative-commons |
op_doi |
https://doi.org/10.5061/dryad.qb4gs |
_version_ |
1766147173334908928 |