Identification of novel Glutathione S-Transferases epsilon 2 mutation in Anopheles maculipennis s.s. (Diptera: Culicidae)

• Main Authors: Zahra Asadi Saatlou, Mohammad Mehdi Sedaghat, Behrooz Taghilou, Saber Gholizadeh
• Format: Article
• Language: English
• Published: Elsevier 2019-08-01
• Series: Heliyon
• Subjects: Bioinformatics; DNA sequencing; Genomics; Genetics; Molecular biology; Proteins
• Online Access: http://www.sciencedirect.com/science/article/pii/S2405844019359225

Anopheles maculipennis complex comprises some important malaria vectors in Iran, Middle East, and Europ. The principal way to control of malaria remains on the use of chemical insecticides against its vectors because there is no vaccine for malaria prevention. Extensive use of organophosphate compounds has caused to emergence and distribution of insecticide resistance in Anopheles species in Asia. The current study aimed to the detection of three well-known amino acid substitutions (I114T, L119F, and F120L) in the Glutathione S-Transferases epsilon 2 (GSTe2) gene are associated with DDT and organophosphate insecticides resistance in an Anopheles maculipennis population collected from Iran. Adult samples of An. maculipennis were collected by hand and Total catch in Animal and Human Shelters from Azerbaijan-Gharbi and Zanjan provinces. Following morphological identification, DNA was extracted by YTA Genomic DNA Extraction Mini Kit for amplification of rDNA-ITS2 and GSTe2 fragments. ∼500 bp fragment was amplified using F rDNA-ITS2 and GSTe2 primers. rDNA-ITS2 sequence analysis showed 100% similarity with An. maculipennis. GSTe2 nucleotide sequence similarity within species was 99–100%, while, it was 95–96 % when compared with Anopheles sacharovi GSTe2 sequences available in GenBank. Amino acid sequence comparisons showed a novel amino acid substitution in N148D position with 15.79% frequency. The current study reports new GSTe2 amino acid substitution in An. maculipennis s.s., for the first time. The function of the mutation N148D and its association with resistance phenotype need to validate. However, the integration of these data into the malaria control program still remains a challenge.