@article {1145, title = {Species identification of Swedish mosquitoes through DNA metabarcoding}, journal = {Journal of the European Mosquito Control Association}, volume = {35}, year = {2017}, month = {16/02/2016}, pages = {1-9}, abstract = {Abstract: DNA-barcoding utilises a fragment of the mitochondrial cytochrome oxidase subunit 1 (COI) gene to identify most animal species. Using next generation sequencing (NGS), this method can be further developed into metabarcoding processes that allow the simultaneous identification of several species from a mixed sample. We created a database of COI sequences of 27 mosquito species collected in Sweden, and combined our data with 27 additional sequences from GenBank to cover the taxa recently documented in Sweden and to include possible invasive taxa. Comparisons show that COI metabarcoding reliably identifies 41 of 54 species and the remainder to species group. Using three independent primer pairs along the COI gene, we further developed this barcoding approach to simultaneously identify Swedish mosquitoes in communities using NGS and quantify relative abundance of each mosquito species in the sample, using bioinformatics methods. We tested the accuracy of the metabarcoding method using communities assembled from morphologically identified mosquitoes, revealing 80\% positive identification rate and the estimates of population structure which reflects the input sample. We conclude that metabarcoding is useful as a high throughput identification technique and for the quantification of species. Journal of the European Mosquito Control Association 35: 1-9, 2017}, keywords = {COI, Culicidae, metabarcoding, next generation sequencing, surveillance, vectors}, author = {Lilja, Tobias and Nylander, Johan A.A and Troell, Karin and Lindstr{\"o}m, Anders} } @article {1134, title = {The geographic distribution of mosquito species in Sweden}, journal = {Journal of the European Mosquito Control Association}, volume = {31}, year = {2013}, month = {11/2013}, pages = {21-35}, abstract = {

Surveillance of the actual distribution of mosquito species in Northern Europe is fundamental for evaluating risk for emerging pathogens, and for research on potential vectors. The Swedish mosquito fauna composition and geographic distribution, originally described by Professor Christine Dahl in the 1970\´s, included 43 species. We have compiled the information published from 1978 to 2012, and our own surveillance data from 2001 to 2013, and compared this with the species list and geographic distribution provided in \“Taxonomy and geographic distribution of Swedish Culicidae\” by Dahl (1977). New species detected during these 36 years were Culiseta (Culicella) ochroptera (Peus, 1935) published 1984, Aedes (Aedes) rossicus Dolbeskin, Goritzkaja \& Mitrofanova, 1930 published 1986, Anopheles (Anopheles) beklemishevi published 1986, Aedes (Ochlerotatus) euedes (Howard, Dyar \& Knab, 1912) published 2001, Aedes (Ochlerotatus) nigrinus (Eckstein, 1918) first recorded in 2012, and Anopheles (Anopheles) algeriensis Theobald, 1903, first recorded in 2013. We provide maps with the distribution by province for each species, including historic information up until 1977, and new records from 1978 to 2013, showing the similarities and differences between the old and the new records. Important findings in recent years include the wide distribution of the Sindbis virus enzootic vector Culex (Culex) torrentium Martinii, 1925, and the more limited distribution of the potential West Nile virus vector Culex (Culex) pipiens Linnaeus, 1758. The updated list of mosquito species in Sweden now includes 49 species.

}, keywords = {CDC Light Trap, Counter-flow trap, Culicidae, mosquito distribution, mosquito surveillance, Sweden}, author = {Lundstr{\"o}m, Jan O. and Sch{\"a}fer, Martina L. and Hesson, Jenny C. and Blomgren, Eric and Lindstr{\"o}m, Anders and Wahlqvist, Pernilla and Halling, Arne and Hagelin, Anna and Ahlm, Clas and Evander, Magnus and Broman, Tina and Forsman, Mats and Persson Vinnersten, Thomas Z.} }