Asymmetric genome organization in an RNA virus revealed via graph-theoretical analysis of tomographic data.
Asymmetric genome organization in an RNA virus revealed via graph-theoretical analysis of tomographic data.
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DOI:
10.1371/journal.pcbi.1004146
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发表时间:
2015-03
影响因子:
4.3
通讯作者:
Twarock R
中科院分区:
文献类型:
--
作者:
Geraets JA;Dykeman EC;Stockley PG;Ranson NA;Twarock R
Cryo-electron microscopy permits 3-D structures of viral pathogens to be determined in remarkable detail. In particular, the protein containers encapsulating viral genomes have been determined to high resolution using symmetry averaging techniques that exploit the icosahedral architecture seen in many viruses. By contrast, structure determination of asymmetric components remains a challenge, and novel analysis methods are required to reveal such features and characterize their functional roles during infection. Motivated by the important, cooperative roles of viral genomes in the assembly of single-stranded RNA viruses, we have developed a new analysis method that reveals the asymmetric structural organization of viral genomes in proximity to the capsid in such viruses. The method uses geometric constraints on genome organization, formulated based on knowledge of icosahedrally-averaged reconstructions and the roles of the RNA-capsid protein contacts, to analyse cryo-electron tomographic data. We apply this method to the low-resolution tomographic data of a model virus and infer the unique asymmetric organization of its genome in contact with the protein shell of the capsid. This opens unprecedented opportunities to analyse viral genomes, revealing conserved structural features and mechanisms that can be targeted in antiviral drug design. Viruses are responsible for devastating illnesses in humans and cause significant commercial losses in livestock and crops. Their genetic material is transported into their host organisms via protein containers, called viral capsids, that act as Trojan horses: they release their cargo into the cells of their hosts, hijacking their molecular machinery for the production of progeny viruses. Imaging techniques exploiting the symmetric structures of viral capsids have been used to determine details of their organization to atomic resolution, opening up the possibility to design anti-viral agents against specific surface structures. In many viruses the genomes take on specific organizations as a consequence of their roles in capsid formation. In order to design an additional class of anti-viral drugs that interfere with this process, it is important to understand the asymmetric organization of the genome inside viral capsids. This is currently a challenge, as the averaging techniques used to achieve high resolution structures of the protein containers cannot be used. We present a new approach and demonstrate its predictive power here for a test virus. This paves the way for a better understanding of the functional roles of viral RNAs in virus assembly and their exploitation in anti-viral drug design.
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