No abstract

Proteomics is the large-scale analysis of proteins, contributing for understanding of gene function. Functional genomics, proteomics, and even metabolomics are the footsteps of genomics that are useful tool to expand of our knowledge on the biological hierarchy of the transcription, translation, and production of small molecules. However, proteomics is a method for assessing the wide range of information such as the structure, expression, localization, biochemical activity, interactions, posttranslational modifications and cellular roles of proteins following protein isolation, digestion and mass spectrometry. Proteomics, as a significant post-genomic tool in the field of science, allows researchers to decipher underlying molecular mechanisms behind different metabolic pathways. Proteomics studies are mostly based on protein identification as using mainly bottom-up approaches such as DDA or MudPIT methods as examples of shotgun proteomics techniques. By using the high throughput mass spectrometer technology, huge output data of peptide spectra has been generated.

Mosquitoes are one of the organisms subjected to frequent insecticide application due to their status as vectors that carry a wide range of life-threatening diseases. Turkey has climatic and other ecological features required for the breeding and living of 50 species from 8 genera. The members of the Culex pipiens complex are the dominant mosquitoes among them. In order to design more sustainable insecticide resistance management strategies, it is important to investigate the genetic structure of mosquito populations using molecular techniques. The aim of this study was the genetic characterization of field populations of C. pipiens sampled from 25 different sublocations belonging to 6 provinces in the Aegean region of Turkey by using random amplified polymorphic DNA (RAPD) markers. Eighty 10-mer RAPD primers were screened on a subset of DNAs. Among them, 20 reproducible and clear band-producing polymorphic primers were selected and applied to all study material. A low level of genetic differentiation and a high level of gene flow were detected between the populations.