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Molecular identification of mosquito species using DNA barcode analysis

Yıl 2017, Sayı: Issue 1(2) - 3. INTERNATIONAL BIOCIDAL CONGRESS, 48 - 48, 01.02.2017

Öz

Mosquitoes are a key threat to public health since they are
involved in transmission of devastating pathogens and parasites. The current
classification of these vectors is based on morphological characters which have
many drawbacks such as being time consuming and error-prone due to variation of
individual taxonomic expertise of the analysts as well as phenotypical
variations. One of the most serious drawbacks of only using this approach for
species identification is the fact that some traits or characters are apparent
only during certain life cycle stages or in one gender. Therefore, DNA-based
approaches can overcome many of the aforesaid problems. In this study we
analyzed immature mosquito specimens collected from different habitats of Muğla
Province, Turkey. A 658 base pair (bp) region of the cytochrome c oxidase (COI)
gene used as a universal marker in order to identify mosquito species. Analyzed
nucleotide sequences were found without pseudo genes and indels that match with
high similarity to the mosquito sequences in NCBI database. The most common and
abundant mosquito species were found to be Culex and Culiseta species.
Individuals of the same species grouped closely together in a
Neighborhood-Joining (NJ) tree with Kimura 2-parameter (K2P) distances based on
COI sequence similarity. In conclusion COI gene based DNA barcoding is a
reliable and standardized identification system for most mosquito species and
for studies at the population level.

 

 

 

 

 













Keywords: Cytochrome c oxidase, DNA barcoding,
Mosquitoes, Phylogenetic analysis

Kaynakça

  • Nurper Guz, Enver Durmuşoğlu
  • Ankara University, Insect Molecular Biology Laboratory, Department of Plant Protection, Faculty of Agriculture, Ankara, Turkey Ege University, Department of Plant Protection, Faculty of Agriculture, İzmir, Turkey
Yıl 2017, Sayı: Issue 1(2) - 3. INTERNATIONAL BIOCIDAL CONGRESS, 48 - 48, 01.02.2017

Öz

Kaynakça

  • Nurper Guz, Enver Durmuşoğlu
  • Ankara University, Insect Molecular Biology Laboratory, Department of Plant Protection, Faculty of Agriculture, Ankara, Turkey Ege University, Department of Plant Protection, Faculty of Agriculture, İzmir, Turkey
Toplam 2 adet kaynakça vardır.

Ayrıntılar

Bölüm Articles
Yazarlar

Nurper Guz Bu kişi benim

Enver Durmuşoğlu Bu kişi benim

Yayımlanma Tarihi 1 Şubat 2017
Yayımlandığı Sayı Yıl 2017 Sayı: Issue 1(2) - 3. INTERNATIONAL BIOCIDAL CONGRESS

Kaynak Göster

APA Guz, N., & Durmuşoğlu, E. (2017). Molecular identification of mosquito species using DNA barcode analysis. The Turkish Journal Of Occupational / Environmental Medicine and Safety, Volume 2(Issue 1(2), 48-48.
AMA Guz N, Durmuşoğlu E. Molecular identification of mosquito species using DNA barcode analysis. turjoem. Şubat 2017;Volume 2(Issue 1(2):48-48.
Chicago Guz, Nurper, ve Enver Durmuşoğlu. “Molecular Identification of Mosquito Species Using DNA Barcode Analysis”. The Turkish Journal Of Occupational / Environmental Medicine and Safety Volume 2, sy. Issue 1(2) (Şubat 2017): 48-48.
EndNote Guz N, Durmuşoğlu E (01 Şubat 2017) Molecular identification of mosquito species using DNA barcode analysis. The Turkish Journal Of Occupational / Environmental Medicine and Safety Volume 2 Issue 1(2) 48–48.
IEEE N. Guz ve E. Durmuşoğlu, “Molecular identification of mosquito species using DNA barcode analysis”, turjoem, c. Volume 2, sy. Issue 1(2), ss. 48–48, 2017.
ISNAD Guz, Nurper - Durmuşoğlu, Enver. “Molecular Identification of Mosquito Species Using DNA Barcode Analysis”. The Turkish Journal Of Occupational / Environmental Medicine and Safety VOLUME 2/Issue 1(2) (Şubat 2017), 48-48.
JAMA Guz N, Durmuşoğlu E. Molecular identification of mosquito species using DNA barcode analysis. turjoem. 2017;Volume 2:48–48.
MLA Guz, Nurper ve Enver Durmuşoğlu. “Molecular Identification of Mosquito Species Using DNA Barcode Analysis”. The Turkish Journal Of Occupational / Environmental Medicine and Safety, c. Volume 2, sy. Issue 1(2), 2017, ss. 48-48.
Vancouver Guz N, Durmuşoğlu E. Molecular identification of mosquito species using DNA barcode analysis. turjoem. 2017;Volume 2(Issue 1(2):48-.