The crystal structure of coxsackievirus A9: new insights into the uncoating mechanisms of enteroviruses.

BACKGROUND: Coxsackievirus A9 (CAV9), a human pathogen causing symptoms ranging from common colds to fatal infections of the central nervous system, is an icosahedral single-stranded RNA virus that belongs to the genus Enterovirus of the family Picornaviridae. One of the four capsid proteins, VP1, includes the arginine-glycine-aspartate (RGD) motif within its C-terminal extension. This region binds to integrin alpha v beta 3, the only receptor for CAV9 to be conclusively identified to date. RESULTS: The crystal structure of CAV9 in complex with the antiviral compound WIN 51711 has been solved to 2.9 A resolution. The structures of the four capsid proteins, VP1 to VP4, resemble those of other picornaviruses. The antiviral compound is bound in the VP1 hydrophobic pocket, and it is possible that the pocket entrance contains a second WIN 51711 molecule. Continuous electron density for the VP1 N terminus provides a complete picture of the structure close to the fivefold axis. The VP1 C-terminal portion is on the outer surface of the virus and becomes disordered five-residues N-terminal to the RGD motif. CONCLUSIONS: The RGD motif is exposed and flexible in common with other known integrin ligands. Although CAV9 resembles coxsackie B viruses (CBVs), several substitutions in the areas implicated in CBV receptor attachment suggest it may recognise a different receptor. The structure along the fivefold axis provides new information on the uncoating mechanism of enteroviruses. CAV9 might bind a larger natural pocket factor than other picornaviruses, an observation of particular relevance to the design of new antiviral compounds.

Molecular detection and typing of human picornaviruses.

Picornaviruses include several important clinical pathogens which cause diseases varying from common cold to poliomyelitis and hepatitis. Introduction of RT-PCR methods for the detection of these viruses has significantly facilitated the diagnosis of picornavirus infections and elucidated their etiological role in clinical illnesses. Partial sequence analysis of the genomes has been used for typing of the viruses and in studies of molecular epidemiology of picornaviruses. These molecular approaches are likely to become the most predominant techniques for the diagnosis and epidemiological analysis, particularly in the enterovirus infections.

Comparison of PCR primer pairs in the detection of human rhinoviruses in nasopharyngeal aspirates.

The development of a rapid and highly sensitive PCR assay for the detection of human rhinoviruses (HRVs) in nasopharyngeal aspirates is described. Two simple and fast commercial RNA extraction methods and four primer pairs were compared. The most sensitive RNA extraction method (Ultraspec) and primer pair (A) were applied to detection of HRV RNA in 49 nasopharyngeal aspirates, of which 31 had previously been found culture-positive for HRVs. All culture-positive specimens were found positive by PCR. In addition, four of the 18 culture-negative samples were positive by PCR. Primer pair A, however, is not specific for rhinoviruses; it also amplifies enteroviruses, and thus an additional hybridization step with an HRV-specific probe is needed for group-specific diagnosis. The assay was able to detect an amount of HRV-1B RNA corresponding to 0.01 infected cells. In addition, about 50 ag (about 10 genomes) of purified HRV-1B and CBV-3 RNA still gave a signal with this primer pair.

The major echovirus group is genetically coherent and related to coxsackie B viruses.

In order to determine the overall molecular heterogeneity of echoviruses (EVs) we performed a genetic analysis of the prototype strains. Nucleotide and derived amino acid sequences from different genomic regions (5'UTR, capsid protein-coding and 3D polymerase genes) were used for molecular comparisons. On the basis of a comparison of partial amino acid sequences from the capsid protein VP2, all the sequenced EVs excluding EV22 and EV23 form a single cluster which is genetically homogeneous. All previously sequenced coxsackie B viruses (CBVs) and coxsackievirus A9 also belong to this same genetic cluster. Similar results were obtained when the 5'UTR or 3D polymerase gene sequences were used in comparisons. When amino acid sequences of the major capsid proteins of EV1 and EV16 were compared to those of previously sequenced enteroviruses, the length of the loops connecting the beta-sheets appeared to be relatively constant in the EV/CBV cluster. It can be concluded that EVs and CBVs have diverged relatively late in evolution.

Molecular epidemiology and evolution of coxsackievirus A9.

Genetic relationships between 35 clinical isolates of coxsackievirus A9 (CAV9), collected during the last five decades from different geographical regions, were investigated by partial sequencing. Analysis of a 150 nucleotide sequence at the VP1/2A junction region identified 12 CAV9 genotypes. While most of the strains within each genotype showed geographical clustering, the analysis also provided evidence for long-range importation of virus strains. Phylogenetic analysis of a longer region around the VP1/2A junction (approximately 390 nucleotides) revealed that the designated genotypes actually represented phylogenetic lineages. The phylogenetic grouping pattern of the isolates in the analysis of the VP4/VP2 region was similar to that obtained in the VP1/2A region whereas analysis of the 3D region indicated a strikingly different grouping, which suggests that recombination events may occur in the region encoding the nonstructural proteins. Analysis of the deduced amino acid sequences of the VP1 polypeptide demonstrated that the RGD (arginine-glycine-aspartic acid) motif, implicated in the interaction of the virus with integrin, was fully conserved among the isolates.

Evidence of recombination among enteroviruses.

Human enteroviruses consist of more than 60 serotypes, reflecting a wide range of evolutionary divergence. They have been genetically classified into four clusters on the basis of sequence homology in the coding region of the single-stranded RNA genome. To explore further the genetic relationships between human enteroviruses and to characterize the evolutionary mechanisms responsible for variation, previously sequenced genomes were subjected to detailed comparison. Bootstrap and genetic similarity analyses were used to systematically scan the alignments of complete genomic sequences. Bootstrap analysis provided evidence from an early recombination event at the junction of the 5' noncoding and coding regions of the progenitors of the current clusters. Analysis within the genetic clusters indicated that enterovirus prototype strains include intraspecies recombinants. Recombination breakpoints were detected in all genomic regions except the capsid protein coding region. Our results suggest that recombination is a significant and relatively frequent mechanism in the evolution of enterovirus genomes.

Identification of enteroviruses in clinical specimens by competitive PCR followed by genetic typing using sequence analysis.

A sensitive method based on competitive PCR was developed to detect and quantitate enteroviral RNA in clinical specimens, with special emphasis on controlling contamination and the presence of potential inhibitory factors in the specimens. Oligonucleotide primers from the conserved parts of the 5' untranslated and VP2 capsid protein-coding regions were selected to differentiate between enteroviruses and rhinoviruses on the basis of the length of the cDNA amplicons. RNA transcribed from a truncated cDNA copy of the echovirus 11 genome was used as an internal control for the reverse transcription reaction and PCR. This allowed simple differentiation of the control and viral PCR products from each other by agarose gel electrophoresis and nonradioactive quantitation of the viral RNA in the clinical specimens. By direct sequencing of the PCR products and subsequent computer analysis of the data, potential laboratory contaminations could be monitored and enteroviruses from clinical samples could be grouped into four distinct clusters, thus enabling genetic typing of the viruses. The described method can be applied to the diagnosis and epidemiology of enteroviral infections.