Khaliq Zeeshan, Leijon Mikael, Belák Sándor, Komorowski Jan
Department of Cell and Molecular Biology, Computational Biology and Bioinformatics, Science for Life Laboratory, Uppsala University, SE-751 24, Uppsala, Sweden.
Department of Virology, Parasitology and Immunobiology (VIP), National Veterinary Institute (SVA), Uppsala, Sweden.
BMC Genomics. 2016 Jul 29;17:529. doi: 10.1186/s12864-016-2919-4.
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.
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).
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.
甲型流感病毒(IAV)在跨越物种屏障适应新宿主时所采用的潜在策略十分复杂,尚未完全明晰。已有多项研究发表,确定了表明此类宿主转换的单一基因组特征。问题的复杂性表明,除了单一特征外,这些基因组特征在自然界中可能存在组合使用的情况,从而决定对宿主的适应性。
我们使用基于规则的计算建模方法,确定了H1N1和H3N2亚型IAV的12种蛋白质中相互作用氨基酸(aa)残基的组合集。我们为每种蛋白质构建了高度准确的基于规则的模型,该模型可以区分来自禽类和人类宿主的病毒aa序列。我们在H1N1亚型的血凝素(HA)、基质蛋白1(M1)、基质蛋白2(M2)、核蛋白(NP)、非结构蛋白1(NS1)、核输出蛋白(NEP)、聚合酶酸性蛋白(PA)、PA-X、聚合酶碱性蛋白1(PB1)和聚合酶碱性蛋白2(PB2)等蛋白上发现了68种宿主特异性氨基酸残基组合,可能与宿主适应性相关;在H3N2亚型的M1、M2、NEP、PB1和PB2蛋白上发现了24种。除了这些组合外,我们还在两种亚型的所有蛋白质(包括新发现的PA-X蛋白)中发现了132个新的单一氨基酸特征。我们发现H1N1亚型的HA、神经氨酸酶(NA)、NP、NS1、NEP、PA-X和PA蛋白带有H1N1特异性特征,H3N2亚型的HA、NA、PA-X、PA、PB1-F2和PB1带有H3N2特异性特征。H1N1亚型的M1、M2、PB1-F2、PB1和PB2除了带有H1N1特征外,还带有H3N2特征。同样,H3N2亚型的M1、M2、NP、NS1、NEP和PB2被证明同时带有H3N2和H1N1宿主特异性特征(HSSs)。
综上所述,我们通过计算构建了简单的基于“如果-那么”规则的模型,该模型可以区分禽类和人类IAV的aa序列。从这些规则中,我们确定了可能影响对特定宿主适应性的HSSs。组合HSSs的识别表明IAV适应新宿主的过程比之前认为的更为复杂。本研究为进一步详细研究提供了基础,旨在阐明为适应过程提供基础的分子机制。