bioRxiv · 10.1101/2020.03.16.993584
Multiple approaches for massively parallel sequencing of HCoV-19 genomes directly from clinical samples
Abstract
COVID-19 has caused a major epidemic worldwide, however, much is yet to be known about the epidemiology and evolution of the virus. One reason is that the challenges underneath sequencing HCoV-19 directly from clinical samples have not been completely tackled. Here we illustrate the application of amplicon and hybrid capture (capture)-based sequencing, as well as ultra-high-throughput metatranscriptomic (meta) sequencing in retrieving complete genomes, inter-individual and intra-individual variations of HCoV-19 from clinical samples covering a range of sample types and viral load. We also examine and compare the bias, sensitivity, accuracy, and other characteristics of these approaches in a comprehensive manner. This is, to date, the first work systematically implements amplicon and capture approaches in sequencing HCoV-19, as well as the first comparative study across methods. Our work offers practical solutions for genome sequencing and analyses of HCoV-19 and other emerging viruses.
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Xiao, M., Liu, X., Ji, J., Li, M., Li, J., Yang, L., Sun, W., Ren, P., Yang, G., Zhao, J., Liang, T., Ren, H., Chen, T., Zhong, H., Song, W., Wang, Y., Deng, Z., Zhao, Y., Ou, Z., Wang, D., Cai, J., Cheng, X., Feng, T., Wu, H., Gong, Y., Yang, H., Wang, J., Xu, X., Zhu, S., Chen, F., Zhang, Y., Chen, W., Li, Y.. 2020-03-17. Multiple approaches for massively parallel sequencing of HCoV-19 genomes directly from clinical samples. https://doi.org/10.1101/2020.03.16.993584
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