{"title":"利用负感 RNA 病毒核蛋白的结构预测评估进化关系","authors":"Kimberly R Sabsay, te Velthuis Aartjan J.W","doi":"10.1093/ve/veae058","DOIUrl":null,"url":null,"abstract":"Negative sense RNA viruses (NSV) include some of the most detrimental human pathogens, including the influenza, Ebola and measles viruses. NSV genomes consist of one or multiple single-stranded RNA molecules that are encapsidated into one or more ribonucleoprotein (RNP) complexes. These RNPs consist of viral RNA, a viral RNA polymerase, and many copies of the viral nucleoprotein (NP). Current evolutionary relationships within the NSV phylum are based on alignment of conserved RNA-directed RNA polymerase (RdRp) domain amino acid sequences. However, the RdRp domain-based phylogeny does not address whether NP, the other core protein in the NSV genome, evolved along the same trajectory or whether several RdRp-NP pairs evolved through convergent evolution in the segmented and non-segmented NSV genomes architectures. Addressing how NP and the RdRp domain evolved may help us better understand NSV diversity. Since NP sequences are too short to infer robust phylogenetic relationships, we here used experimentally-obtained and AlphaFold 2.0-predicted NP structures to probe whether evolutionary relationships can be estimated using NSV NP sequences. Following flexible structure alignments of modeled structures, we find that the structural homology of the NSV NPs reveals phylogenetic clusters that are consistent with RdRp-based clustering. In addition, we were able to assign viruses for which RdRp sequences are currently missing to phylogenetic clusters based on the available NP sequence. Both our RdRp-based and NP-based relationships deviate from the current NSV classification of the segmented Naedrevirales, which cluster with the other segmented NSVs in our analysis. Overall, our results suggest that the NSV RdRp and NP genes largely evolved along similar trajectories and that even short pieces of genetic, protein-coding information can be used to infer evolutionary relationships, potentially making metagenomic analyses more valuable.","PeriodicalId":56026,"journal":{"name":"Virus Evolution","volume":"20 1","pages":""},"PeriodicalIF":5.5000,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using structure prediction of negative sense RNA virus nucleoproteins to assess evolutionary relationships\",\"authors\":\"Kimberly R Sabsay, te Velthuis Aartjan J.W\",\"doi\":\"10.1093/ve/veae058\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Negative sense RNA viruses (NSV) include some of the most detrimental human pathogens, including the influenza, Ebola and measles viruses. NSV genomes consist of one or multiple single-stranded RNA molecules that are encapsidated into one or more ribonucleoprotein (RNP) complexes. These RNPs consist of viral RNA, a viral RNA polymerase, and many copies of the viral nucleoprotein (NP). Current evolutionary relationships within the NSV phylum are based on alignment of conserved RNA-directed RNA polymerase (RdRp) domain amino acid sequences. However, the RdRp domain-based phylogeny does not address whether NP, the other core protein in the NSV genome, evolved along the same trajectory or whether several RdRp-NP pairs evolved through convergent evolution in the segmented and non-segmented NSV genomes architectures. Addressing how NP and the RdRp domain evolved may help us better understand NSV diversity. Since NP sequences are too short to infer robust phylogenetic relationships, we here used experimentally-obtained and AlphaFold 2.0-predicted NP structures to probe whether evolutionary relationships can be estimated using NSV NP sequences. Following flexible structure alignments of modeled structures, we find that the structural homology of the NSV NPs reveals phylogenetic clusters that are consistent with RdRp-based clustering. In addition, we were able to assign viruses for which RdRp sequences are currently missing to phylogenetic clusters based on the available NP sequence. Both our RdRp-based and NP-based relationships deviate from the current NSV classification of the segmented Naedrevirales, which cluster with the other segmented NSVs in our analysis. 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引用次数: 0
摘要
负感 RNA 病毒(NSV)包括一些对人类危害最大的病原体,如流感病毒、埃博拉病毒和麻疹病毒。NSV 基因组由一个或多个单链 RNA 分子组成,这些分子被封装成一个或多个核糖核蛋白(RNP)复合物。这些 RNP 由病毒 RNA、病毒 RNA 聚合酶和多个病毒核蛋白(NP)拷贝组成。目前,NSV 门内的进化关系是基于保守的 RNA 定向 RNA 聚合酶(RdRp)结构域氨基酸序列的比对。然而,基于 RdRp 结构域的系统发育并没有解决 NSV 基因组中的另一个核心蛋白 NP 是否沿着相同的轨迹进化,或者在分节和非分节的 NSV 基因组结构中,是否有几对 RdRp-NP 通过趋同进化而进化。解决 NP 和 RdRp 结构域如何进化的问题有助于我们更好地理解 NSV 的多样性。由于 NP 序列太短,无法推断出可靠的系统发育关系,因此我们在此使用实验获得的和 AlphaFold 2.0 预测的 NP 结构来探究是否可以使用 NSV NP 序列来估计进化关系。通过对模型结构进行灵活的结构比对,我们发现 NSV NP 的结构同源性揭示了与基于 RdRp 的聚类一致的系统发生群。此外,我们还能根据现有的 NP 序列将目前缺少 RdRp 序列的病毒归入系统发生群。基于 RdRp 和基于 NP 的关系都偏离了目前对分段 Naedrevirales 的 NSV 分类,在我们的分析中,Naedrevirales 与其他分段 NSV 聚类在一起。总之,我们的结果表明,NSV RdRp 和 NP 基因在很大程度上是沿着相似的轨迹进化的,即使是很短的基因、蛋白质编码信息也可以用来推断进化关系,从而可能使元基因组分析更有价值。
Using structure prediction of negative sense RNA virus nucleoproteins to assess evolutionary relationships
Negative sense RNA viruses (NSV) include some of the most detrimental human pathogens, including the influenza, Ebola and measles viruses. NSV genomes consist of one or multiple single-stranded RNA molecules that are encapsidated into one or more ribonucleoprotein (RNP) complexes. These RNPs consist of viral RNA, a viral RNA polymerase, and many copies of the viral nucleoprotein (NP). Current evolutionary relationships within the NSV phylum are based on alignment of conserved RNA-directed RNA polymerase (RdRp) domain amino acid sequences. However, the RdRp domain-based phylogeny does not address whether NP, the other core protein in the NSV genome, evolved along the same trajectory or whether several RdRp-NP pairs evolved through convergent evolution in the segmented and non-segmented NSV genomes architectures. Addressing how NP and the RdRp domain evolved may help us better understand NSV diversity. Since NP sequences are too short to infer robust phylogenetic relationships, we here used experimentally-obtained and AlphaFold 2.0-predicted NP structures to probe whether evolutionary relationships can be estimated using NSV NP sequences. Following flexible structure alignments of modeled structures, we find that the structural homology of the NSV NPs reveals phylogenetic clusters that are consistent with RdRp-based clustering. In addition, we were able to assign viruses for which RdRp sequences are currently missing to phylogenetic clusters based on the available NP sequence. Both our RdRp-based and NP-based relationships deviate from the current NSV classification of the segmented Naedrevirales, which cluster with the other segmented NSVs in our analysis. Overall, our results suggest that the NSV RdRp and NP genes largely evolved along similar trajectories and that even short pieces of genetic, protein-coding information can be used to infer evolutionary relationships, potentially making metagenomic analyses more valuable.
期刊介绍:
Virus Evolution is a new Open Access journal focusing on the long-term evolution of viruses, viruses as a model system for studying evolutionary processes, viral molecular epidemiology and environmental virology.
The aim of the journal is to provide a forum for original research papers, reviews, commentaries and a venue for in-depth discussion on the topics relevant to virus evolution.