Department of Plant Pathology, Washington State University, Pullman, WA, 99164, USA.
Department of Mathematics and Computer Science, University of Missouri, St. Louis, MO, 63121, USA.
Virol J. 2019 Jan 11;16(1):7. doi: 10.1186/s12985-018-1106-4.
Tospoviruses (genus Tospovirus, family Peribunyaviridae, order Bunyavirales) cause significant losses to a wide range of agronomic and horticultural crops worldwide. Identification and characterization of specific sequences and motifs that are critical for virus infection and pathogenicity could provide useful insights and targets for engineering virus resistance that is potentially both broad spectrum and durable. Tomato spotted wilt virus (TSWV), the most prolific member of the group, was used to better understand the structure-function relationships of the nucleocapsid gene (N), and the silencing suppressor gene (NSs), coded by the TSWV small RNA.
Using a global collection of orthotospoviral sequences, several amino acids that were conserved across the genus and the potential location of these conserved amino acid motifs in these proteins was determined. We used state of the art 3D modeling algorithms, MULTICOM-CLUSTER, MULTICOM-CONSTRUCT, MULTICOM-NOVEL, I-TASSER, ROSETTA and CONFOLD to predict the secondary and tertiary structures of the N and the NSs proteins.
We identified nine amino acid residues in the N protein among 31 known tospoviral species, and ten amino acid residues in NSs protein among 27 tospoviral species that were conserved across the genus. For the N protein, all three algorithms gave nearly identical tertiary models. While the conserved residues were distributed throughout the protein on a linear scale, at the tertiary level, three residues were consistently located in the coil in all the models. For NSs protein models, there was no agreement among the three algorithms. However, with respect to the localization of the conserved motifs, G was consistently located in coil, while H was localized in the coil in three models.
This is the first report of predicting the 3D structure of any tospoviral NSs protein and revealed a consistent location for two of the ten conserved residues. The modelers used gave accurate prediction for N protein allowing the localization of the conserved residues. Results form the basis for further work on the structure-function relationships of tospoviral proteins and could be useful in developing novel virus control strategies targeting the conserved residues.
呼肠孤病毒(呼肠孤病毒科,布尼亚病毒目)在全球范围内对广泛的农艺和园艺作物造成了重大损失。鉴定和表征对病毒感染和致病性至关重要的特定序列和模体,可以为工程病毒抗性提供有用的见解和目标,这种抗性可能具有广谱性和持久性。番茄斑萎病毒(TSWV)是该组中最多产的成员,被用于更好地理解 N 蛋白和由 TSWV 小 RNA 编码的沉默抑制基因(NSs)的核衣壳基因的结构-功能关系。
利用全球范围内的正呼肠孤病毒序列集,确定了在属内保守的几个氨基酸以及这些蛋白质中保守氨基酸模体的潜在位置。我们使用了最先进的 3D 建模算法,包括 MULTICOM-CLUSTER、MULTICOM-CONSTRUCT、MULTICOM-NOVEL、I-TASSER、ROSETTA 和 CONFOLD,来预测 N 和 NSs 蛋白的二级和三级结构。
我们在 31 种已知的呼肠孤病毒中鉴定出 N 蛋白中的 9 个氨基酸残基,在 27 种呼肠孤病毒中鉴定出 NSs 蛋白中的 10 个氨基酸残基,这些残基在属内是保守的。对于 N 蛋白,所有三种算法都给出了几乎相同的三级模型。虽然保守残基在蛋白质上呈线性分布,但在三级水平上,所有模型中三个残基都位于卷曲区。对于 NSs 蛋白模型,三种算法之间没有一致的结果。然而,就保守模体的定位而言,G 始终位于卷曲区,而 H 在三种模型中都位于卷曲区。
这是首次预测任何呼肠孤病毒 NSs 蛋白的 3D 结构的报告,并揭示了十个保守残基中的两个残基的一致位置。所使用的建模者对 N 蛋白进行了准确的预测,从而能够定位保守残基。结果为呼肠孤病毒蛋白的结构-功能关系的进一步研究奠定了基础,并可能有助于开发针对保守残基的新型病毒控制策略。