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Antibody selection and amino acid reversions

机译:抗体选择和氨基酸还原

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Pathogens adapt to antibody surveillance through amino acid replacements in targeted protein regions, or epitopes, that interfere with antibody binding. However, such escape mutations may exact a fitness cost due to impaired protein function. Here, it is hypothesized that the recurring generation of specific neutralizing antibodies to an epitope region as it evolves in response to antibody selection will cause amino acid reversions by releasing early escape mutations from immune selection. The plausibility of this hypothesis was tested with stochastic simulation of adaptation at the molecular sequence level in finite populations. Under the conditions of strong selection and weak mutation, the rates of allele fixation and amino acid reversion increased with population size and selection coefficients. These rates decreased with population size, however, if mutation became strong, because clonal interference reduced the rate of adaptation. The model successfully predicts the rate of reversion per allele fixation for an important human immunodeficiency virus type 1 (HIV-1) antibody epitope region. Therefore, antibody selection may generate complex adaptive dynamics.
机译:病原体通过干扰靶蛋白结合的目标蛋白区域或表位中的氨基酸置换来适应抗体监视。但是,由于蛋白质功能受损,此类逃脱突变可能会导致健身成本降低。在此,假设针对表位区域的特异性中和抗体在其响应于抗体选择而进化时的重复生成将通过释放免疫选择中的早期逃逸突变而引起氨基酸回复。通过对随机种群中分子序列水平的适应性进行随机模拟,检验了该假设的合理性。在强选择和弱突变条件下,等位基因固定和氨基酸回复率随群体大小和选择系数而增加。这些速率随种群规模而降低,但是,如果突变变强,则由于克隆干扰降低了适应率。该模型成功预测了重要的人类免疫缺陷病毒1型(HIV-1)抗体表位区域的每个等位基因固定的回复率。因此,抗体选择可能会产生复杂的适应性动力学。

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