抗原变异的层次转换模式为疟原虫在不同宿主免疫条件下的生存提供了优势。

IF 1.6 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Gayathri Priya Iragavarapu, Varsha Hj, Shruthi Sridhar Vembar, Bhaswar Ghosh
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引用次数: 0

摘要

var多基因家族由大约60个成员组成,编码恶性疟原虫红细胞膜蛋白或PfEMP1的变体,PfEMP1是一种表面抗原,对寄生虫血液期毒力至关重要。var基因以互斥的方式表达,为了逃避免疫检测,恶性疟原虫在转录上从一种变体切换到另一种变体。有人提出,一种有偏见的层次转换模式优化了恶性疟原虫在人类宿主体内的生长和存活。然而,建立一个特定等级的需要并没有得到很好的探索,因为即使基因身份被洗牌,寄生虫的生长优势仍然是一样的。我们基于马尔可夫链模型的理论分析,结合单细胞RNA-seq数据分析、RT-qPCR和RNA-seq测量,建立了一个分层var基因表达模式,隐藏在偏置开关模式之下。此外,在模型中包含宿主免疫反应表明,当表达不同变体的细胞以不同的速率被免疫反应清除时,观察到的切换层次是有益的。例如,与被免疫系统缓慢清除的变体相比,被免疫系统更有效清除的PfEMP1变体在人群中的表达更稳定,表达水平更高,寄生虫会迅速关闭缓慢清除的变体的表达。与这些发现一致的是,对已发表的实验数据的分析表明,稳定的变体与IgM具有更大的结合亲和力。综上所述,我们的研究为在感染过程中观察到的恶性疟原虫变异基因的分层转换模式提供了机制基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hierarchical switching pattern in antigenic variation provides survival advantage for malaria parasites under variable host immunity.

The var multigene family, comprising approximately 60 members, encodes for variants of Plasmodium falciparum erythrocyte membrane protein or PfEMP1, a surface antigen which is crucial for parasite blood stage virulence. var genes are expressed in a mutually exclusive fashion and to evade immune detection, P. falciparum transcriptionally switches from one variant to another. It has been proposed that a biased hierarchical switching pattern optimizes the growth and survival of P. falciparum inside the human host. However, the need to establish a particular hierarchy is not well explored, since the growth advantage to the parasite remains the same even if gene identities are shuffled. Our theoretical analysis based on a Markov chain model, coupled with single cell RNA-seq data analysis, RT-qPCR and RNA-seq measurements, establishes a hierarchical var gene expression pattern underlying the biased switching pattern. Further, inclusion of host immune response in the model suggests that the observed switching hierarchy is beneficial when cells expressing different variants are cleared at variable rates by the immune response. For instance, PfEMP1 variants that are cleared more efficiently by the immune system are expressed stably and at a higher level in the population compared to variants that are cleared slowly by the immune system, with parasites quickly turning off the expression of the slowly cleared variant. Consistent with these findings, analysis of published experimental data showed that stable variants exhibit greater binding affinities to IgM. Taken together, our study provides a mechanistic basis for the hierarchical switching pattern of P. falciparum var genes observed during infection. .

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来源期刊
Physical biology
Physical biology 生物-生物物理
CiteScore
4.20
自引率
0.00%
发文量
50
审稿时长
3 months
期刊介绍: Physical Biology publishes articles in the broad interdisciplinary field bridging biology with the physical sciences and engineering. This journal focuses on research in which quantitative approaches – experimental, theoretical and modeling – lead to new insights into biological systems at all scales of space and time, and all levels of organizational complexity. Physical Biology accepts contributions from a wide range of biological sub-fields, including topics such as: molecular biophysics, including single molecule studies, protein-protein and protein-DNA interactions subcellular structures, organelle dynamics, membranes, protein assemblies, chromosome structure intracellular processes, e.g. cytoskeleton dynamics, cellular transport, cell division systems biology, e.g. signaling, gene regulation and metabolic networks cells and their microenvironment, e.g. cell mechanics and motility, chemotaxis, extracellular matrix, biofilms cell-material interactions, e.g. biointerfaces, electrical stimulation and sensing, endocytosis cell-cell interactions, cell aggregates, organoids, tissues and organs developmental dynamics, including pattern formation and morphogenesis physical and evolutionary aspects of disease, e.g. cancer progression, amyloid formation neuronal systems, including information processing by networks, memory and learning population dynamics, ecology, and evolution collective action and emergence of collective phenomena.
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