Clustered Mutations at the Murine and Human IgH Locus Exhibit Significant Linkage Consistent with Templated Mutagenesis.

IF 2.2 4区 教育学 Q1 Social Sciences Journal of Experimental Education Pub Date : 2019-09-01 Epub Date: 2019-08-02 DOI:10.4049/jimmunol.1801615
Gordon A Dale, Daniel J Wilkins, Caitlin D Bohannon, Dario Dilernia, Eric Hunter, Trevor Bedford, Rustom Antia, Ignacio Sanz, Joshy Jacob
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Abstract

Somatic hypermutation generates a myriad of Ab mutants in Ag-specific B cells, from which high-affinity mutants are selected. Chickens, sheep, and rabbits use nontemplated point mutations and templated mutations via gene conversion to diversify their expressed Ig loci, whereas mice and humans rely solely on untemplated somatic point mutations. In this study, we demonstrate that, in addition to untemplated point mutations, templated mutagenesis readily occurs at the murine and human Ig loci. We provide two distinct lines of evidence that are not explained by the Neuberger model of somatic hypermutation: 1) across multiple data sets there is significant linkage disequilibrium between individual mutations, especially among close mutations, and 2) among those mutations, those <8 bp apart are significantly more likely to match microhomologous regions in the IgHV repertoire than predicted by the mutation profiles of somatic hypermutation. Together, this supports the role of templated mutagenesis during somatic diversification of Ag-activated B cells.

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小鼠和人类 IgH 基因座上的聚类突变显示出与模板突变一致的显著关联性
体细胞超突变会在Ag特异性B细胞中产生无数的Ab突变体,并从中筛选出高亲和性突变体。鸡、绵羊和兔子通过基因转换使用非模板点突变和模板突变来使其表达的 Ig 基因座多样化,而小鼠和人类则完全依赖于非模板体细胞点突变。在这项研究中,我们证明除了非模板点突变外,模板突变也很容易发生在小鼠和人类的 Ig 基因座上。我们提供了两组不同的证据,这些证据无法用 Neuberger 体细胞超突变模型来解释:1)在多个数据集中,单个突变之间存在显著的连锁不平衡,尤其是在近似突变之间;以及
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来源期刊
CiteScore
6.70
自引率
0.00%
发文量
25
期刊介绍: The Journal of Experimental Education publishes theoretical, laboratory, and classroom research studies that use the range of quantitative and qualitative methodologies. Recent articles have explored the correlation between test preparation and performance, enhancing students" self-efficacy, the effects of peer collaboration among students, and arguments about statistical significance and effect size reporting. In recent issues, JXE has published examinations of statistical methodologies and editorial practices used in several educational research journals.
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