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  • 标题:Deep Mutational Scanning to Map How Zika Envelope Protein Mutations Affect Viral Growth and Antibody Escape
  • 本地全文:下载
  • 作者:Marion Sourisseau ; Daniel J. P. Lawrence ; Megan C. Schwarz
  • 期刊名称:Proceedings
  • 电子版ISSN:2504-3900
  • 出版年度:2020
  • 卷号:54
  • 期号:27
  • 页码:93
  • DOI:10.3390/proceedings2020050093
  • 语种:English
  • 出版社:MDPI AG
  • 摘要:The Zika virus has recently been shown to be associated with severe birth defects. The virus’ envelope (E) protein mediates its ability to infect cells and is also the primary target of the antibodies that are elicited by natural infection and the vaccines that are being developed against the virus. Therefore, determining the effects of mutations on this protein is important for understanding its function, its susceptibility to vaccine-mediated immunity, and its potential for future evolution. Functional constraints on viral proteins are often assessed by examining sequence conservation among natural strains, but this approach is relatively ineffective for the Zika virus because all known sequences are highly similar. Here, we take an alternative approach to mapping functional constraints on Zika virus’ E protein by using deep mutational scanning to measure how all amino-acid mutations in the protein affect viral growth in cell culture. The resulting sequence-function map is consistent with the existing knowledge about E protein structure and function but also provides insight into mutation-level constraints in many regions of the protein that have not been well characterized in prior functional work. In addition, we extend our approach to completely map how mutations affect viral neutralization by two monoclonal antibodies, thereby precisely defining their functional epitopes. Overall, our study provides a valuable resource for understanding the effects of mutations on this important viral protein and also offers a roadmap for future work to map functional and antigenic selection to the Zika virus at high resolution.
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