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Identification of combinatorial host-specific signatures with a potential to affect host adaptation in influenza A H1N1 and H3N2 subtypes

机译:鉴定可能影响甲型H1N1和H3N2亚型宿主适应性的组合宿主特异性签名

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摘要

Background: The underlying strategies used by influenza A viruses (IAVs) to adapt to new hosts while crossing the species barrier are complex and yet to be understood completely. Several studies have been published identifying singular genomic signatures that indicate such a host switch. The complexity of the problem suggested that in addition to the singular signatures, there might be a combinatorial use of such genomic features, in nature, defining adaptation to hosts. Results: We used computational rule-based modeling to identify combinatorial sets of interacting amino acid (aa) residues in 12 proteins of IAVs of H1N1 and H3N2 subtypes. We built highly accurate rule-based models for each protein that could differentiate between viral aa sequences coming from avian and human hosts. We found 68 host-specific combinations of aa residues, potentially associated to host adaptation on HA, M1, M2, NP, NS1, NEP, PA, PA-X, PB1 and PB2 proteins of the H1N1 subtype and 24 on M1, M2, NEP, PB1 and PB2 proteins of the H3N2 subtypes. In addition to these combinations, we found 132 novel singular aa signatures distributed among all proteins, including the newly discovered PA-X protein, of both subtypes. We showed that HA, NA, NP, NS1, NEP, PA-X and PA proteins of the H1N1 subtype carry H1N1-specific and HA, NA, PA-X, PA, PB1-F2 and PB1 of the H3N2 subtype carry H3N2-specific signatures. M1, M2, PB1-F2, PB1 and PB2 of H1N1 subtype, in addition to H1N1 signatures, also carry H3N2 signatures. Similarly M1, M2, NP, NS1, NEP and PB2 of H3N2 subtype were shown to carry both H3N2 and H1N1 host-specific signatures (HSSs). Conclusions: To sum it up, we computationally constructed simple IF-THEN rule-based models that could distinguish between aa sequences of avian and human IAVs. From the rules we identified HSSs having a potential to affect the adaptation to specific hosts. The identification of combinatorial HSSs suggests that the process of adaptation of IAVs to a new host is more complex than previously suggested. The present study provides a basis for further detailed studies with the aim to elucidate the molecular mechanisms providing the foundation for the adaptation process.
机译:背景:甲型流感病毒(IAV)用来越过物种壁垒适应新宿主的基本策略是复杂的,尚待全面了解。已经发表了一些研究来鉴定指示这种宿主开关的单一基因组特征。问题的复杂性表明,除了单数签名外,本质上还可能组合使用此类基因组特征来定义对宿主的适应性。结果:我们使用基于计算规则的建模来识别H1N1和H3N2亚型的IAVs的12种蛋白质中相互作用氨基酸(aa)残基的组合集。我们为每种蛋白质建立了高度精确的基于规则的模型,可以区分来自禽类和人类宿主的病毒氨基酸序列。我们发现了68个氨基酸残基的宿主特异性组合,这些残基可能与宿主对H1N1亚型的HA,M1,M2,NP,NS1,NEP,PA,PA-X,PB1和PB2蛋白的适应以及在M1,M2, H3N2亚型的NEP,PB1和PB2蛋白。除了这些组合,我们还发现了132个新颖的奇异aa签名分布在所有蛋白中,包括新发现的两种亚型的蛋白。我们显示,H1N1亚型的HA,NA,NP,NS1,NEP,PA-X和PA蛋白带有H1N1特异性,H3N2亚型的HA,NA,PA-X,PA,PB1-F2和PB1带有H3N2-具体签名。 H1N1子类型的M1,M2,PB1-F2,PB1和PB2除带有H1N1签名外,还带有H3N2签名。类似地,显示H3N2亚型的M1,M2,NP,NS1,NEP和PB2携带H3N2和H1N1宿主特异性签名(HSS)。结论:综上所述,我们通过计算构建了基于IF-THEN规则的简单模型,该模型可以区分禽类和人类IAV的序列。从规则中,我们确定了HSS有可能影响对特定主机的适应性。组合HSS的鉴定表明,IAV适应新宿主的过程比以前建议的更为复杂。本研究为进一步详细研究奠定了基础,旨在阐明为适应过程提供基础的分子机制。

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