揭示变异的复杂性:恶性疟原虫中 DBLα 类型与变异基因之间的关系。

Frontiers in parasitology Pub Date : 2022-01-01 Epub Date: 2023-01-09 DOI:10.3389/fpara.2022.1006341
Mun Hua Tan, Heejung Shim, Yao-Ban Chan, Karen P Day
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引用次数: 0

摘要

变异基因的多样性和复杂性巨大,且通过重组迅速发生变异,这导致这些基因的组装被排除在主要的基因组计划之外(如 Pf6)。在变异基因的流行病学监测中,一种可扩展的解决方案是使用编码免疫原性 DBLα 结构域的小 "标签 "区域作为标记来估计变异基因的多样性。由于变异基因是通过重组实现多样化的,因此目前还不清楚同一标记可在多大程度上出现在多个变异基因中。标记与基因之间的这种关系尚未在自然种群中进行研究。对变异基因内部和之间体外重组的分析表明,这种关系并不是排他性的。我们利用公开的组装变异序列数据集,研究了四个国家四个研究地点的 DBLα 与变异的关系,从而验证了这一假设:普尔萨特(柬埔寨)和湄索(泰国)代表疟疾低传播,纳夫龙戈(加纳)和奇夸瓦(马拉维)代表疟疾高传播。在所有研究地点,DBLα-var 关系主要是 1 对 1,其次是 1 对 2 的 DBLα-var 关系。这一发现表明,在当地流行区应用 DBLα 标签时,不仅可以用来估计 DBLα 多样性,还可以用来估计变异基因多样性。本文讨论了这一结果在流行病学上的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Unravelling <i>var</i> complexity: Relationship between DBLα types and <i>var</i> genes in <i>Plasmodium falciparum</i>.

Unravelling <i>var</i> complexity: Relationship between DBLα types and <i>var</i> genes in <i>Plasmodium falciparum</i>.

Unravelling <i>var</i> complexity: Relationship between DBLα types and <i>var</i> genes in <i>Plasmodium falciparum</i>.

Unravelling var complexity: Relationship between DBLα types and var genes in Plasmodium falciparum.

The enormous diversity and complexity of var genes that diversify rapidly by recombination has led to the exclusion of assembly of these genes from major genome initiatives (e.g., Pf6). A scalable solution in epidemiological surveillance of var genes is to use a small 'tag' region encoding the immunogenic DBLα domain as a marker to estimate var diversity. As var genes diversify by recombination, it is not clear the extent to which the same tag can appear in multiple var genes. This relationship between marker and gene has not been investigated in natural populations. Analyses of in vitro recombination within and between var genes have suggested that this relationship would not be exclusive. Using a dataset of publicly-available assembled var sequences, we test this hypothesis by studying DBLα-var relationships for four study sites in four countries: Pursat (Cambodia) and Mae Sot (Thailand), representing low malaria transmission, and Navrongo (Ghana) and Chikwawa (Malawi), representing high malaria transmission. In all study sites, DBLα-var relationships were shown to be predominantly 1-to-1, followed by a second largest proportion of 1-to-2 DBLα-var relationships. This finding indicates that DBLα tags can be used to estimate not just DBLα diversity but var gene diversity when applied in a local endemic area. Epidemiological applications of this result are discussed.

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