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埃博拉病毒2014年毒株的基因组变异特征分析 被引量:2

Characteristics of genome variations of Ebola viruses in 2014 epidemic
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摘要 目的通过对埃博拉病毒2014年毒株基因组共102株序列的分析,研究其变异特征,探讨病毒基因组变异与其流行病学特征改变之间的关系。方法选取NCBI公共数据库中埃博拉病毒全基因组序列,应用Mummer3.0软件分析病毒基因组变异特征;使用MEGA5软件进行蛋白进化分析;应用CPHmodels和PyMOL软件,根据蛋白同源性模拟蛋白的三维构型。结果埃博拉病毒2014年毒株(扎伊尔型)基因组中,共有606个位点发生变异,其中有49个变异位点是2014年毒株特有的、并导致所编码的氨基酸发生非同义突变。特别是NP蛋白第128位、GP蛋白第82位和L蛋白第1 951位氨基酸,不仅在2014年之前所有的扎伊尔型毒株中是保守不变的,而且在其余埃博拉病毒亚型之间也是高度保守的,但在2014年毒株中却发生了特异性的变异。结论埃博拉病毒2014年毒株基因组具有独特的变异特征,使得NP、GP和L蛋白发生变异,特别是GP蛋白第82位氨基酸由丙氨酸突变为缬氨酸,将影响其所在的α螺旋的稳定性,这可能是2014年毒株致死能力减弱和传播能力增强的原因之一。基因组变异是否直接导致此次疫情中病毒流行病学特征改变,还需要进一步的实验研究证实。 Objective To explore the relationship between the Ebola virus genome variations and its epidemiological characteristics by analyzing the 102 whole genome sequences of Ebola viruses in 2014 outbreak.Methods Whole genome sequences of Ebola viruses(EBOVs)were obtained from the NCBI database,and the variations in genome sequences were analyzed by Mummer3.0.The evolutionary analysis was carried out through MEGA5;and the 3D modeling of the protein was performed using CPHmodels and PyMOL software.Results It was found that there were 606 single nucleotide variants(SNVs)in the genome of 2014 EBOVs,of which 49 nonsynonymous SNVs were unique.The amino acids of NP-182,GP-82 and L-1951,which were highly conserved not only among all the Zaire EBOVs before 2014,but also among different EBOV species,were altered in 2014 EBOVs.Conclusion The unique mutation of 2014 EBOVs resulting in alterations of NP,GP and L protein,especially the alteration of aa82 of GP(AlaVal),might weaken the stability ofα-helix where the amino acid is located,which might be associated with the weakened lethality and enhanced transmission of the virus.Further studies are needed to confirm whether genomic variations in 2014 EBOVs is responsible for change of the epidemiological characteristics.
出处 《第二军医大学学报》 CAS CSCD 北大核心 2015年第6期612-618,共7页 Academic Journal of Second Military Medical University
基金 "艾滋病和病毒性肝炎等重大传染病防治"科技重大专项"十二五"课题(2013ZX10004104) 国家自然科学基金(91331107) 上海市科委基础研究课题(12ZR1421200)~~
关键词 埃博拉病毒 病毒基因组 变异(遗传学) 计算生物学 Ebola virus viral genome variation(genetics) computational biology
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  • 1Nakayama E, Saijo M. Animal models for Ebola and Marburg virus infections[J]. Front Microhiol, 2013,4: 267.
  • 2Kurtz S, Phillippy A,Delcher A L, Smoot M, Shumway M,Antonescu C, et al. Versatile and open software for comparing large genomes [J]. Genome Biol, 2004, 5: R12.
  • 3Tamura K, Peterson D, Peterson N, Stecher G, Nei M, Kumar S. MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods [J]. Mol Biol Evol, 2011,28 : 2731-2739.
  • 4Gire S K,Goba A, Andersen K G, Sealfon R S, Park D J, Kanneh L, et al. Genomic surveillance elucidates Ebola virus origin and transmission during the 2014 outbreak[J]. Science, 2014,345: 1369-1372.
  • 5Dudas G, Rambaut A. Phylogenetic analysis of Guinea 2014 EBOV Ebolavirus outbreak[J]. PLoS Curr, 2014: 6.
  • 6Wool-Lewis R J, Bates P. Characterization of Ebola virus entry by using pseudotyped viruses: identification of receptor-deficient cell lines[J]. J Virol, 1998, 72: 3155-3160.
  • 7Lee J E, Saphire E O. Ebolavirus glycoprotein structure and mechanism of entry[J]. Future Virol, 2009,4 : 621- 635.
  • 8Takada A, Robison C, Goto H, Sanchez A, Murti K G, Whitt M A, et al. A system for functional analysis of Ehola virus glycoprotein[J]. Proc Natl Acad Sci USA, 1997,94 : 14764-14769.
  • 9Yang Z, Delgado R, Xu L, Todd R F, Nabel E G, Sanchez A, et al. Distinct cellular interactions of secreted and transmembrane Ebola virus glycoproteins [J]. Science, 1998,279 : 1034-1037.
  • 10Kindzelskii A L, Yang Z, Nahel G J, Todd R F 3rd, Petty H R. Ebola virus secretory glycoprotein (sGP) diminishes Fc gamma RⅢB-to-CR3 proximity on neutrophils[J]. J Immunol, 2000,164 : 953-958.

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