首页    期刊浏览 2024年11月06日 星期三
登录注册

文章基本信息

  • 标题:Signatures of selection in the human antibody repertoire: Selective sweeps, competing subclones, and neutral drift
  • 作者:Felix Horns ; Felix Horns ; Christopher Vollmers
  • 期刊名称:Proceedings of the National Academy of Sciences
  • 印刷版ISSN:0027-8424
  • 电子版ISSN:1091-6490
  • 出版年度:2019
  • 卷号:116
  • 期号:4
  • 页码:1261-1266
  • DOI:10.1073/pnas.1814213116
  • 语种:English
  • 出版社:The National Academy of Sciences of the United States of America
  • 摘要:Antibodies are created and refined by somatic evolution in B cell populations, which endows the human immune system with the ability to recognize and eliminate diverse pathogens. However, the evolutionary processes that sculpt antibody repertoires remain poorly understood. Here, using an unbiased repertoire-scale approach, we show that the population genetic signatures of evolution are evident in human B cell lineages and reveal how antibodies evolve somatically. We measured the dynamics and genetic diversity of B cell responses in five adults longitudinally before and after influenza vaccination using high-throughput antibody repertoire sequencing. We identified vaccine-responsive B cell lineages that carry signatures of selective sweeps driven by positive selection, and discovered that they often display evidence for selective sweeps favoring multiple subclones. We also found persistent B cell lineages that exhibit stable population dynamics and carry signatures of neutral drift. By exploiting the relationship between B cell fitness and antibody binding affinity, we demonstrate the potential for using phylogenetic approaches to identify antibodies with high binding affinity. This quantitative characterization reveals that antibody repertoires are shaped by an unexpectedly broad spectrum of evolutionary processes and shows how signatures of evolutionary history can be harnessed for antibody discovery and engineering.
  • 关键词:Adaptive immunity ; Somatic evolution ; Population genetics
Loading...
联系我们|关于我们|网站声明
国家哲学社会科学文献中心版权所有