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Hybrid capture-based sequencing enables unbiased recovery of SAR-CoV-2 genomes from fecal samples and characterization of the dynamics of intra-host variants
Mingkun Li; Yi Xu; Lu Kang; Zijie Shen; Xufang Li; Weili Wu; Wentai Ma; Chunxiao Fang; Fengxia Yang; Xuan Jiang; Sitang Gong; Li Zhang.
Afiliación
  • Mingkun Li; Beijing Institute of Genomics, Chinese Academy of Sciences
  • Yi Xu; Department of Pediatrics, Guangzhou Women and Children Medical Center, Guangzhou Medical University, Guangzhou, China
  • Lu Kang; Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, and China National Center for Bioinformation, Beij
  • Zijie Shen; Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, and China National Center for Bioinformation, Beij
  • Xufang Li; Department of Pediatrics, Guangzhou Women and Children Medical Center, Guangzhou Medical University, Guangzhou, China
  • Weili Wu; Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, and China National Center for Bioinformation, Beij
  • Wentai Ma; Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, and China National Center for Bioinformation, Beij
  • Chunxiao Fang; Department of Pediatrics, Guangzhou Women and Children Medical Center, Guangzhou Medical University, Guangzhou, China
  • Fengxia Yang; Department of Pediatrics, Guangzhou Women and Children Medical Center, Guangzhou Medical University, Guangzhou, China
  • Xuan Jiang; Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, and China National Center for Bioinformation, Beij
  • Sitang Gong; Department of Pediatrics, Guangzhou Women and Children Medical Center, Guangzhou Medical University, Guangzhou, China
  • Li Zhang; Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, and China National Center for Bioinformation, Beij
Preprint en En | PREPRINT-BIORXIV | ID: ppbiorxiv-230102
ABSTRACT
BackgroundIn response to the current COVID-19 pandemic, it is crucial to understand the origin, transmission, and evolution of SARS-CoV-2, which relies on close surveillance of genomic diversity in clinical samples. Although the mutation at the population level had been extensively investigated, how the mutations evolve at the individual level is largely unknown, partly due to the difficulty of obtaining unbiased genome coverage of SARS-CoV-2 directly from clinical samples. MethodsEighteen time series fecal samples were collected from nine COVID-19 patients during the convalescent phase. The nucleic acids of SARS-CoV-2 were enriched by the hybrid capture method with different rounds of hybridization. ResultsBy examining the sequencing depth, genome coverage, and allele frequency change, we demonstrated the impeccable performance of the hybrid capture method in samples with Ct value < 34, as well as significant improvement comparing to direct metatranscriptomic sequencing in samples with lower viral loads. We identified 229 intra-host variants at 182 sites in 18 fecal samples. Among them, nineteen variants presented frequency changes > 0.3 within 1-5 days, reflecting highly dynamic intra-host viral populations. Meanwhile, we also found that the same mutation showed different frequency changes in different individuals, indicating a strong random drift. Moreover, the evolving of the viral genome demonstrated that the virus was still viable in the gastrointestinal tract during the convalescent period. ConclusionsThe hybrid capture method enables reliable analyses of inter- and intra-host variants of SARS-CoV-2 genome, which changed dramatically in the gastrointestinal tract; its clinical relevance warrants further investigation.
Licencia
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Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-BIORXIV Tipo de estudio: Experimental_studies / Prognostic_studies / Rct Idioma: En Año: 2020 Tipo del documento: Preprint
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-BIORXIV Tipo de estudio: Experimental_studies / Prognostic_studies / Rct Idioma: En Año: 2020 Tipo del documento: Preprint