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Open AccessSystematic Review
An Exploration of the Viral Coverage of Mosquito Viromes Using Meta-Viromic Sequencing: A Systematic Review and Meta-Analysis
by
Shenglin Chen
Shenglin Chen 1,†,
Yuan Fang
Yuan Fang 1,2,†,
Ryosuke Fujita
Ryosuke Fujita 3,
Emad I. M. Khater
Emad I. M. Khater 4,
Yuanyuan Li
Yuanyuan Li 1,
Wenya Wang
Wenya Wang 1,
Peijun Qian
Peijun Qian 1,
Lulu Huang
Lulu Huang 1,
Zhaoyu Guo
Zhaoyu Guo 1,
Yi Zhang
Yi Zhang 1,2 and
Shizhu Li
Shizhu Li 1,2,*
1
National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Center for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai 200025, China
2
School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
3
Laboratory of Sanitary Entomology, Faculty of Agriculture, Kyushu University, Fukuoka 819-0395, Japan
4
Department of Entomology, Faculty of Science, Ain Shams University, Cairo 11566, Egypt
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Microorganisms 2024, 12(9), 1899; https://doi.org/10.3390/microorganisms12091899 (registering DOI)
Submission received: 20 August 2024
/
Revised: 8 September 2024
/
Accepted: 12 September 2024
/
Published: 14 September 2024
(This article belongs to the Section
Virology)
Abstract
The aim of this review was to delve into the extent of mosquito virome coverage (proportion of viral reads) via meta-viromic sequencing and uncover potential factors of heterogeneity that could impact this coverage. Data sources were PubMed, Web of Science, Embase, Scopus, Science-Direct, Google Scholar, and the China National Knowledge Infrastructure. Pooled coverage was estimated using random-effects modeling, and subgroup analyses further reveal potential heterogeneous factors. Within the three mosquito genera studied, Culex exhibited the highest pooled viral coverage of mosquito viromes at 7.09% (95% CI: 3.44–11.91%), followed by Anopheles at 5.28% (95% CI: 0.45–14.93%), and Aedes at 2.11% (95% CI: 0.58–7.66%). Subgroup analyses showed that multiple processing methods significantly affected the viral coverage of mosquito viromes, especially pre-treatment of mosquito samples with saline buffer/medium and antibiotics prior to DNase/RNase treatment and removal of the host genome prior to RNA library construction. In conclusion, the results of this study demonstrate that the viral coverage of mosquito viromes varies between mosquito genera and that pre-treatment of mosquito samples with saline buffer/medium and antibiotics before DNase/RNase treatment and removing host genomes prior to RNA library construction are critical for the detection of RNA viruses in mosquito vectors using meta-viromic sequencing.
Share and Cite
MDPI and ACS Style
Chen, S.; Fang, Y.; Fujita, R.; Khater, E.I.M.; Li, Y.; Wang, W.; Qian, P.; Huang, L.; Guo, Z.; Zhang, Y.;
et al. An Exploration of the Viral Coverage of Mosquito Viromes Using Meta-Viromic Sequencing: A Systematic Review and Meta-Analysis. Microorganisms 2024, 12, 1899.
https://doi.org/10.3390/microorganisms12091899
AMA Style
Chen S, Fang Y, Fujita R, Khater EIM, Li Y, Wang W, Qian P, Huang L, Guo Z, Zhang Y,
et al. An Exploration of the Viral Coverage of Mosquito Viromes Using Meta-Viromic Sequencing: A Systematic Review and Meta-Analysis. Microorganisms. 2024; 12(9):1899.
https://doi.org/10.3390/microorganisms12091899
Chicago/Turabian Style
Chen, Shenglin, Yuan Fang, Ryosuke Fujita, Emad I. M. Khater, Yuanyuan Li, Wenya Wang, Peijun Qian, Lulu Huang, Zhaoyu Guo, Yi Zhang,
and et al. 2024. "An Exploration of the Viral Coverage of Mosquito Viromes Using Meta-Viromic Sequencing: A Systematic Review and Meta-Analysis" Microorganisms 12, no. 9: 1899.
https://doi.org/10.3390/microorganisms12091899
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