Chen Shenglin, Fang Yuan, Fujita Ryosuke, Khater Emad I M, Li Yuanyuan, Wang Wenya, Qian Peijun, Huang Lulu, Guo Zhaoyu, Zhang Yi, Li Shizhu
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.
School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Microorganisms. 2024 Sep 14;12(9):1899. doi: 10.3390/microorganisms12091899.
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, exhibited the highest pooled viral coverage of mosquito viromes at 7.09% (95% CI: 3.44-11.91%), followed by at 5.28% (95% CI: 0.45-14.93%), and 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.
本综述的目的是通过宏病毒组测序深入研究蚊子病毒组覆盖范围(病毒 reads 的比例),并揭示可能影响这种覆盖范围的异质性潜在因素。数据来源包括 PubMed、科学网、Embase、Scopus、ScienceDirect、谷歌学术和中国知网。使用随机效应模型估计合并覆盖范围,亚组分析进一步揭示潜在的异质性因素。在所研究的三个蚊子属中,[属名 1]的蚊子病毒组合并病毒覆盖率最高,为 7.09%(95%置信区间:3.44 - 11.91%),其次是[属名 2],为 5.28%(95%置信区间:0.45 - 14.93%),[属名 3]为 2.11%(95%置信区间:0.58 - 7.66%)。亚组分析表明,多种处理方法显著影响蚊子病毒组的病毒覆盖率,特别是在进行 DNase/RNase 处理之前用生理盐水缓冲液/培养基和抗生素对蚊子样本进行预处理,以及在构建 RNA 文库之前去除宿主基因组。总之,本研究结果表明,蚊子病毒组的病毒覆盖率在不同蚊子属之间存在差异,并且在 DNase/RNase 处理之前用生理盐水缓冲液/培养基和抗生素对蚊子样本进行预处理以及在构建 RNA 文库之前去除宿主基因组对于使用宏病毒组测序检测蚊子媒介中的 RNA 病毒至关重要。