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Manimaran, P.

Publications and source records attributed to Manimaran, P..

2 recordsLinked to original sources

Investigation of V1016G kdr Mutation during Pyrethroid Insecticide Resistance in Aedes aegypti from Nagapattinam district of Tamil Nadu, India

BackgroundAedes aegypti is a primary vector of Dengue, Chikungunya, and Zika viruses, and its control relies heavily on pyrethroid insecticides. However, the development of resistance in mosquito populations poses a major challenge to effective vector control. This study aimed to investigate the presence of the V1016G knockdown resistance (kdr) mutation in Aedes aegypti collected from Nagapattinam district, Tamil Nadu, India. Where insecticide uses is common. MethodologyAedes immature were collected from selected field sites and subjected to insecticide susceptibility testing using World Health Organization (WHO) guidelines. Genomic DNA was extracted, and allele-specific PCR was performed to detect the V1016G mutation in the voltage-gated sodium channel gene (vgsc). Principal findingsThe analysis revealed the presence of the V1016G mutation in heterozygous form (VG) among the tested samples. No homozygous mutants (GG) were detected. The presence of heterozygous individuals indicates an early stage of resistance development, likely due to ongoing insecticide selection pressure. Bioassay results showed reduced susceptibility to pyrethroids in these populations, supporting the molecular findings. ConclusionThis study provides baseline data on the genetic mechanism of pyrethroid resistance in Aedes aegypti from Nagapattinam district. Regular monitoring of kdr mutations is essential to detect resistance early and guide insecticide use policies. Integrating molecular surveillance with conventional control measures will help delay the spread of resistance and improve the long-term success of vector management programs. The findings highlight the need for alternative control strategies and responsible insecticide use to maintain the effectiveness of current interventions.

molecular biology↗

Prioritization of Lung Cancer Candidate Genes using Moment of Inertia Tensor Analysis

A variety of factors contribute to the complexity of lung cancer progression. To comprehend the disease, candidate genes must be investigated. Present study aimed to employ an alignment-free method to prioritize candidate genes based on the physicochemical properties of the amino acids. It uses the moment of inertia tensor that measures the mass distribution around an axis of rotation, to compute the rotational energy and angular momentum of amino acids in protein sequences. The computed features were compared to those of established lung cancer genes, leading to the identification of 26 candidate genes with a high degree of similarity. These genes participate in critical biological processes that regulate the mitotic cell cycle and cell development. The prognostic significance of these genes was also assessed and four genes (IL1A, CDC25C, IL4R, and TGFBR1) were found to be associated with poor survival. Additionally, the role of prioritized genes and potential drugs that target these genes in other cancer types was also examined. Our method will help to discover new biomarkers and intervention strategies for lung cancer.

bioinformatics↗