Literature DB >> 29625090

DNA barcoding of five Japanese encephalitis mosquito vectors (Culex fuscocephala, Culex gelidus, Culex tritaeniorhynchus, Culex pseudovishnui and Culex vishnui).

Pushparaj Karthika1, Chithravel Vadivalagan2, Durairaj Thirumurugan3, Rangaswamy Ravi Kumar4, Kadarkarai Murugan5, Angelo Canale6, Giovanni Benelli7.   

Abstract

Culex mosquitoes can act as vectors of several important diseases, including Japanese encephalitis, West Nile virus, St. Louis encephalitis and equine encephalitis. Besides the neurological sequelae caused in humans, Japanese encephalitis can lead to abortion in sows and encephalitis in horses. Effective vector control and early diagnosis, along with continuous serosurveillance in animals, are crucial to fight this arboviral disease. However, the success of vector control operations is linked with the fast and reliable identification of targeted species, and knowledge about their biology and ecology. Since the DNA barcoding of Culex vectors of Japanese encephalitis is scarcely explored, here we evaluated the efficacy of this tool to identify and analyze the variations among five overlooked Culex vectors of Japanese encephalitis, Culex fuscocephala, Culex gelidus, Culex tritaeniorhynchus, Culex pseudovishnui and Culex vishnui, relying to the analysis of mitochondrial CO1 gene. Variations in their base pair range were elucidated by the entropy Hx plot. The differences among individual conspecifics and on base pair range across the same were studied. The C (501-750 bp) region showed a moderate variation among all the selected species. C. tritaeniorhynchus exhibited the highest variation in all the ranges. The observed genetic divergence was partially non-discriminatory. i.e., the overall intra- and inter nucleotide divergence was 0.0920 (0.92%) and 0.125 (1.25%), respectively. However, 10X rule fits accurately intraspecies divergence <3% for the five selected Culex species. The analysis of individual scatter plots showed threshold values (10X) of 0.008 (0.08%), 0.005 (0.05%), 0.123 (1.23%), 0.033 (0.33%) and 0.019 (0.19%) for C. fuscocephala, C. gelidus, C. tritaeniorhynchus, C. pseudovishnui and C. vishnui, respectively. The C. tritaeniorhynchus haplotypes KU497604, KU497603, AB690847 and AB690854 exhibited the highest divergence range, i.e., from 0.465 -0.546. Comparatively, the intra-divergence among the other haplotypes of C. tritaeniorhynchus ranged from 0-0.056. The maximum parsimony tree was formed by distinctive conspecific clusters with appreciable branch values illustrating their close congruence and extensive genetic deviations. Overall, this study adds valuable knowledge to the molecular biology and systematics of five overlooked mosquito species acting as major vectors of Japanese encephalitis in Asian countries.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Arbovirus; Culicidae; Entropy plot; Intraspecies divergence; Japanese encephalitis; Mosquito control; Mosquito systematics; Vector surveillance; cox1

Mesh:

Year:  2018        PMID: 29625090     DOI: 10.1016/j.actatropica.2018.04.006

Source DB:  PubMed          Journal:  Acta Trop        ISSN: 0001-706X            Impact factor:   3.112


  5 in total

1.  Detection of the Japanese encephalitis vector mosquito Culex tritaeniorhynchus in Australia using molecular diagnostics and morphology.

Authors:  Bryan D Lessard; Nina Kurucz; Juanita Rodriguez; Jane Carter; Christopher M Hardy
Journal:  Parasit Vectors       Date:  2021-08-18       Impact factor: 3.876

Review 2.  Managing mosquitoes and ticks in a rapidly changing world - Facts and trends.

Authors:  Giovanni Benelli
Journal:  Saudi J Biol Sci       Date:  2018-06-28       Impact factor: 4.219

3.  Investigation of Japanese encephalitis virus as a cause of acute encephalitis in southern Pakistan, April 2015-January 2018.

Authors:  Tazeen Fatima; Abida Rais; Erum Khan; Susan L Hills; Trudy V Chambers; Aneeta Hotwani; Shahida Qureshi; Saad Shafquat; Saima Malik; Farah Qamar; Fatima Mir; Anthony A Marfin; Anita Zaidi; Asif Raza Khowaja; Sadia Shakoor
Journal:  PLoS One       Date:  2020-06-12       Impact factor: 3.240

4.  Application of convolutional neural networks for classification of adult mosquitoes in the field.

Authors:  Daniel Motta; Alex Álisson Bandeira Santos; Ingrid Winkler; Bruna Aparecida Souza Machado; Daniel André Dias Imperial Pereira; Alexandre Morais Cavalcanti; Eduardo Oyama Lins Fonseca; Frank Kirchner; Roberto Badaró
Journal:  PLoS One       Date:  2019-01-14       Impact factor: 3.240

Review 5.  Unveiling mosquito cryptic species and their reproductive isolation.

Authors:  X L Zheng
Journal:  Insect Mol Biol       Date:  2020-08-18       Impact factor: 3.585

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.