Study on the Three-dimensional Reconstruction Algorithm of Symmetric Mismatch of Grass Corp Reovirus Based on Cryo-EM
TONG Jiang-yang
CHEN Jian-nan
XUE Ting
WANG Xu-rong
Abstract:In the process of reconstructing the three-dimensional structure of the virus by using the icosahedral symme-try of the virus,the existence of the symmetry-mismatch problem hindered the analysis of the real structure of the vi-rus and the acquisition of the high-resolution structure.In order to eliminate the influence of symmetric mismatch on the three-dimensional structure of the virus,a symmetry-mismatch three-dimensional reconstruction algorithm by u-sing the special subgroup search of the icosahedral point group was proposed.By taking the Grass Corp Reovirus(GCRV)as the experimental material,the three-dimensional structure of GCRV was obtained by using the three-di-mension reconstruction technique of cryo-electron microscopy.Then,the orientation information was obtained through the local three-dimensional reconstruction and symmetry-mismatch searching,by adding the search of GCRV-specific vertex.The results showed that:the algorithm improved the efficiency of symmetry-mismatch orientation searching,and accurately reduced the orientation information of Grass Corp Reovirus(GCRV)by determining the icosahedral-specific apical position of the polymerase complex inside the virus.The results confirmed that the virus-deleted RdRp was in the pseudo-D3 symmetrical equatorial group,and it provided a new method for resolving the whole-virus symmetry-mismatch structure of double-stranded RNA virus and exploring the molecular mechanism of endogenous transcription of double-stranded RNA virus.
Keywords:Grass corp reovirusThree-dimensional structureSymmetric mismatchPolymerase
Publication Date:2023-10-28
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:8( 15-22 )
Fujian Agricultural Science and Technology

Fujian Agricultural Science and Technology

ISSN:0253-2301
Year, Vol.(Issue):2023,54(10)