A V2-SKP1 interface in soybean stay-green associated virus: evidence from evolutionary and structural analyses

IF 2.5 4区 医学 Q3 VIROLOGY
Saqib Ali
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Abstract

Soybean stay-green associated virus (SoSGV) is an emerging begomovirus associated with severe disease in soybean crops in East Asia. This study investigated its evolutionary relationships, population structure, recombination history, adaptive signal, and candidate host-interaction features using integrated phylogenetic, population genetic, natural selection, and structural modeling analyses of 54 complete genome sequences. Maximum-likelihood and Bayesian phylogenetic analyses recovered SoSGV as a distinct monophyletic lineage, with strong support in the maximum-likelihood analysis (96% bootstrap support). Population genetic analysis revealed high haplotype diversity (Hd = 0.962), moderate nucleotide diversity (π = 0.022), and a negative Tajima’s D value (D = − 1.49, p < 0.05), a pattern consistent with recent demographic expansion but not, by itself, proof of emergence timing. Recombination screening identified two robust coat protein-associated events (best p = 1.95 × 10⁻⁷ and 1.91 × 10⁻¹⁴), and sliding-window similarity analysis independently supported the resulting mosaic structure. Natural selection analyses detected adaptive signal in the V2 gene; MEME identified episodic selection at residues 35 and 36 (p < 0.1), while complementary methods supported additional method-dependent signals. ColabFold predicted a moderate-confidence V2 structure (mean pLDDT = 73.36). Protein docking identified a plausible V2-SKP1-related interface comprising 39 contacting residues, while a short 10 ns molecular dynamics simulation indicated preliminary structural compatibility rather than biological validation. These findings support the hypothesis that recombination contributed to SoSGV diversification and that V2 may interact with SKP1-related host proteins.

大豆枯绿相关病毒的V2-SKP1界面:来自进化和结构分析的证据
大豆枯绿相关病毒(SoSGV)是一种与东亚大豆作物严重病害相关的新兴begomavirus。本研究利用系统发育、群体遗传、自然选择和结构建模等方法对54个全基因组序列进行了综合分析,研究了其进化关系、种群结构、重组历史、自适应信号和候选宿主相互作用特征。最大似然和贝叶斯系统发育分析恢复了SoSGV作为一个独特的单系谱系,在最大似然分析中得到了强有力的支持(96%的bootstrap支持)。群体遗传分析显示,单倍型多样性高(Hd = 0.962),核苷酸多样性中等(π = 0.022), Tajima 's D值为负(D = - 1.49, p < 0.05),这一模式与近期人口扩张一致,但本身并不能证明出现时间。重组筛选确定了两个强有力的外壳蛋白相关事件(最好的p = 1.95 × 10⁻和1.91 × 10⁻),滑动窗相似性分析独立地支持了所得到的马赛克结构。自然选择分析检测到V2基因的自适应信号;MEME在残基35和36处确定了情景选择(p < 0.1),而互补方法支持额外的方法依赖信号。ColabFold预测为中等置信度的V2结构(平均pLDDT = 73.36)。蛋白对接确定了一个包含39个接触残基的v2 - skp1相关界面,而短时间的10 ns分子动力学模拟显示了初步的结构相容性,而不是生物学验证。这些发现支持了重组促进SoSGV多样化以及V2可能与skp1相关宿主蛋白相互作用的假设。
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来源期刊
Archives of Virology
Archives of Virology 医学-病毒学
CiteScore
5.10
自引率
7.40%
发文量
324
审稿时长
4.5 months
期刊介绍: Archives of Virology publishes original contributions from all branches of research on viruses, virus-like agents, and virus infections of humans, animals, plants, insects, and bacteria. Coverage spans a broad spectrum of topics, from descriptions of newly discovered viruses, to studies of virus structure, composition, and genetics, to studies of virus interactions with host cells, organisms and populations. Studies employ molecular biologic, molecular genetics, and current immunologic and epidemiologic approaches. Contents include studies on the molecular pathogenesis, pathophysiology, and genetics of virus infections in individual hosts, and studies on the molecular epidemiology of virus infections in populations. Also included are studies involving applied research such as diagnostic technology development, monoclonal antibody panel development, vaccine development, and antiviral drug development.Archives of Virology wishes to publish obituaries of recently deceased well-known virologists and leading figures in virology.
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