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寄生虫驱动选择下 MHC 等位基因频率分布:模拟模型。

MHC allele frequency distributions under parasite-driven selection: A simulation model.

机构信息

Institute of Environmental Sciences, Jagiellonian University, ul, Gronostajowa 7, 30-387 Kraków, Poland.

出版信息

BMC Evol Biol. 2010 Oct 27;10:332. doi: 10.1186/1471-2148-10-332.

Abstract

BACKGROUND

The extreme polymorphism that is observed in major histocompatibility complex (MHC) genes, which code for proteins involved in recognition of non-self oligopeptides, is thought to result from a pressure exerted by parasites because parasite antigens are more likely to be recognized by MHC heterozygotes (heterozygote advantage) and/or by rare MHC alleles (negative frequency-dependent selection). The Ewens-Watterson test (EW) is often used to detect selection acting on MHC genes over the recent history of a population. EW is based on the expectation that allele frequencies under balancing selection should be more even than under neutrality. We used computer simulations to investigate whether this expectation holds for selection exerted by parasites on host MHC genes under conditions of heterozygote advantage and negative frequency-dependent selection acting either simultaneously or separately.

RESULTS

In agreement with simple models of symmetrical overdominance, we found that heterozygote advantage acting alone in populations does, indeed, result in more even allele frequency distributions than expected under neutrality, and this is easily detectable by EW. However, under negative frequency-dependent selection, or under the joint action of negative frequency-dependent selection and heterozygote advantage, distributions of allele frequencies were less predictable: the majority of distributions were indistinguishable from neutral expectations, while the remaining runs resulted in either more even or more skewed distributions than under neutrality.

CONCLUSIONS

Our results indicate that, as long as negative frequency-dependent selection is an important force maintaining MHC variation, the EW test has limited utility in detecting selection acting on these genes.

摘要

背景

主要组织相容性复合体 (MHC) 基因编码参与识别非自身寡肽的蛋白质,其表现出极端多态性,这被认为是寄生虫施加的压力造成的,因为寄生虫抗原更有可能被 MHC 杂合子(杂合优势)和/或罕见的 MHC 等位基因(负频率依赖选择)识别。Ewens-Watterson 检验 (EW) 常用于检测在群体的近期历史中对 MHC 基因施加的选择。EW 基于这样的期望,即在平衡选择下,等位基因频率应该比在中性条件下更均匀。我们使用计算机模拟来研究在杂合优势和负频率依赖选择单独或同时作用于宿主 MHC 基因的情况下,这种期望是否适用于寄生虫对宿主 MHC 基因施加的选择。

结果

与对称超显性的简单模型一致,我们发现,在群体中单独起作用的杂合优势确实会导致等位基因频率分布比中性条件下预期的更均匀,并且这很容易通过 EW 检测到。然而,在负频率依赖选择下,或者在负频率依赖选择和杂合优势的共同作用下,等位基因频率的分布则更难预测:大多数分布与中性预期无法区分,而其余的运行结果则导致分布比中性条件下更均匀或更偏斜。

结论

我们的结果表明,只要负频率依赖选择是维持 MHC 变异的重要力量,EW 检验在检测对这些基因施加的选择方面的实用性就有限。

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