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Intrahost Selection Pressure Drives Equine Arteritis Virus Evolution during Persistent Infection in the Stallion Reproductive Tract. J Virol 2019; 93:JVI.00045-19. [PMID: 30918077 DOI: 10.1128/jvi.00045-19] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2019] [Accepted: 03/12/2019] [Indexed: 12/18/2022] Open
Abstract
Equine arteritis virus (EAV) is the causative agent of equine viral arteritis (EVA), a reproductive and respiratory disease of horses. Following natural infection, 10 to 70% of infected stallions can become carriers of EAV and continue to shed virus in the semen. In this study, sequential viruses isolated from nasal secretions, buffy coat cells, and semen of seven experimentally infected and two naturally infected EAV carrier stallions were deep sequenced to elucidate the intrahost microevolutionary process after a single transmission event. Analysis of variants from nasal secretions and buffy coat cells lacked extensive positive selection; however, characteristics of the mutant spectra were different in the two sample types. In contrast, the initial semen virus populations during acute infection have undergone a selective bottleneck, as reflected by the reduction in population size and diversifying selection at multiple sites in the viral genome. Furthermore, during persistent infection, extensive genome-wide purifying selection shaped variant diversity in the stallion reproductive tract. Overall, the nonstochastic nature of EAV evolution during persistent infection was driven by active intrahost selection pressure. Among the open reading frames within the viral genome, ORF3, ORF5, and the nsp2-coding region of ORF1a accumulated the majority of nucleotide substitutions during persistence, with ORF3 and ORF5 having the highest intrahost evolutionary rates. The findings presented here provide a novel insight into the evolutionary mechanisms of EAV and identified critical regions of the viral genome likely associated with the establishment and maintenance of persistent infection in the stallion reproductive tract.IMPORTANCE EAV can persist in the reproductive tract of infected stallions, and consequently, long-term carrier stallions constitute its sole natural reservoir. Previous studies demonstrated that the ampullae of the vas deferens are the primary site of viral persistence in the stallion reproductive tract and the persistence is associated with a significant inflammatory response that is unable to clear the infection. This is the first study that describes EAV full-length genomic evolution during acute and long-term persistent infection in the stallion reproductive tract using next-generation sequencing and contemporary sequence analysis techniques. The data provide novel insight into the intrahost evolution of EAV during acute and persistent infection and demonstrate that persistent infection is characterized by extensive genome-wide purifying selection and a nonstochastic evolutionary pattern mediated by intrahost selective pressure, with important nucleotide substitutions occurring in ORF1a (region encoding nsp2), ORF3, and ORF5.
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Using high-throughput sequencing for investigating intra-host hepatitis C evolution over long retrospective periods. INFECTION GENETICS AND EVOLUTION 2018; 67:136-144. [PMID: 30395998 DOI: 10.1016/j.meegid.2018.11.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2018] [Revised: 09/11/2018] [Accepted: 11/02/2018] [Indexed: 12/13/2022]
Abstract
Collections of biological samples held by hospitals represent invaluable resources for conducting retrospective evolutionary studies of chronic infections. Using high-throughput sequencing, those collections permit analysis of within-host genetic diversity over long follow-up periods, and allow a better understanding of resistance to treatment regimes during disease evolution. Here, we studied the evolution of hepatitis C virus (HCV) populations in two patients with an absence of response to dual therapies. We implemented amplicon sequencing to survey genomic variation at the Core and NS5B regions of HCV over a period of 13 years from blood samples obtained at multiple time points. We observed mixed infection by multiple HCV genotypes in both patients. Genetic heterogeneity and sample composition analysis provided information about the changes in viral population over the course of clinical treatment, with NS5B experiencing an increase in diversity after treatment initiation. Secondary infections were estimated to predate treatment year, and our results pointed towards diversifying selection occurring post-treatment, acting on standing genomic variation and maintaining high genetic heterogeneity during infection. For these two patients infected with multiple HCV genotypes, the maintenance of viral diversity was explained with the hypothesis of soft selective sweep started at the same time as antiviral treatment was initiated.
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Characterization of Hepatitis C Virus (HCV) Envelope Diversification from Acute to Chronic Infection within a Sexually Transmitted HCV Cluster by Using Single-Molecule, Real-Time Sequencing. J Virol 2017; 91:JVI.02262-16. [PMID: 28077634 DOI: 10.1128/jvi.02262-16] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2016] [Accepted: 12/29/2016] [Indexed: 12/18/2022] Open
Abstract
In contrast to other available next-generation sequencing platforms, PacBio single-molecule, real-time (SMRT) sequencing has the advantage of generating long reads albeit with a relatively higher error rate in unprocessed data. Using this platform, we longitudinally sampled and sequenced the hepatitis C virus (HCV) envelope genome region (1,680 nucleotides [nt]) from individuals belonging to a cluster of sexually transmitted cases. All five subjects were coinfected with HIV-1 and a closely related strain of HCV genotype 4d. In total, 50 samples were analyzed by using SMRT sequencing. By using 7 passes of circular consensus sequencing, the error rate was reduced to 0.37%, and the median number of sequences was 612 per sample. A further reduction of insertions was achieved by alignment against a sample-specific reference sequence. However, in vitro recombination during PCR amplification could not be excluded. Phylogenetic analysis supported close relationships among HCV sequences from the four male subjects and subsequent transmission from one subject to his female partner. Transmission was characterized by a strong genetic bottleneck. Viral genetic diversity was low during acute infection and increased upon progression to chronicity but subsequently fluctuated during chronic infection, caused by the alternate detection of distinct coexisting lineages. SMRT sequencing combines long reads with sufficient depth for many phylogenetic analyses and can therefore provide insights into within-host HCV evolutionary dynamics without the need for haplotype reconstruction using statistical algorithms.IMPORTANCE Next-generation sequencing has revolutionized the study of genetically variable RNA virus populations, but for phylogenetic and evolutionary analyses, longer sequences than those generated by most available platforms, while minimizing the intrinsic error rate, are desired. Here, we demonstrate for the first time that PacBio SMRT sequencing technology can be used to generate full-length HCV envelope sequences at the single-molecule level, providing a data set with large sequencing depth for the characterization of intrahost viral dynamics. The selection of consensus reads derived from at least 7 full circular consensus sequencing rounds significantly reduced the intrinsic high error rate of this method. We used this method to genetically characterize a unique transmission cluster of sexually transmitted HCV infections, providing insight into the distinct evolutionary pathways in each patient over time and identifying the transmission-associated genetic bottleneck as well as fluctuations in viral genetic diversity over time, accompanied by dynamic shifts in viral subpopulations.
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Pérez PS, Di Lello FA, Mullen EG, Galdame OA, Livellara BI, Gadano AC, Campos RH, Flichman DM. Compartmentalization of hepatitis C virus variants in patients with hepatocellular carcinoma. Mol Carcinog 2016; 56:371-380. [PMID: 27163636 DOI: 10.1002/mc.22500] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2015] [Revised: 04/03/2016] [Accepted: 05/02/2016] [Indexed: 12/24/2022]
Abstract
Chronic Hepatitis C Virus (HCV) infection is a major risk for hepatocellular carcinoma (HCC) development. HCV Core protein has been associated with the modulation of potentially oncogenic cellular processes and E2 protein has been useful in evolutive studies to analyze the diversity of HCV. Thus, the aim of this study was to evaluate HCV compartmentalization in tumoral, non-tumoral liver tissue and serum and to identify viral mutations potentially involved in carcinogenesis. Samples were obtained from four patients with HCC who underwent liver transplantation. Core and E2 were amplified, cloned and sequenced. Phylogenies and BaTS Test were performed to analyze viral compartmentalization and a signature sequence analysis was conducted by VESPA. The likelihood and Bayesian phylogenies showed a wide degree of compartmentalization in the different patients, ranging from total clustering to a more scattered pattern with small groups. Nevertheless, the association test showed compartmentalization for the three compartments and both viral regions tested in all the patients. Signature amino acid pattern supported the compartmentalization in three of the cases for E2 protein and in two of them for Core. Changes observed in Core included polymorphism R70Q/H previously associated with HCC. In conclusion, evidence of HCV compartmentalization in the liver of HCC patients was provided and further biological characterization of these variants may contribute to the understanding of carcinogenesis mediated by HCV infection. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Paula S Pérez
- Cátedra de Virología, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Federico A Di Lello
- Cátedra de Virología, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires, Buenos Aires, Argentina.,Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
| | | | - Omar A Galdame
- Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
| | | | | | - Rodolfo H Campos
- Cátedra de Virología, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires, Buenos Aires, Argentina.,Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
| | - Diego M Flichman
- Cátedra de Virología, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires, Buenos Aires, Argentina.,Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
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Skums P, Artyomenko A, Glebova O, Ramachandran S, Mandoiu I, Campo DS, Dimitrova Z, Zelikovsky A, Khudyakov Y. Computational framework for next-generation sequencing of heterogeneous viral populations using combinatorial pooling. ACTA ACUST UNITED AC 2014; 31:682-90. [PMID: 25359889 DOI: 10.1093/bioinformatics/btu726] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
MOTIVATION Next-generation sequencing (NGS) allows for analyzing a large number of viral sequences from infected patients, providing an opportunity to implement large-scale molecular surveillance of viral diseases. However, despite improvements in technology, traditional protocols for NGS of large numbers of samples are still highly cost and labor intensive. One of the possible cost-effective alternatives is combinatorial pooling. Although a number of pooling strategies for consensus sequencing of DNA samples and detection of SNPs have been proposed, these strategies cannot be applied to sequencing of highly heterogeneous viral populations. RESULTS We developed a cost-effective and reliable protocol for sequencing of viral samples, that combines NGS using barcoding and combinatorial pooling and a computational framework including algorithms for optimal virus-specific pools design and deconvolution of individual samples from sequenced pools. Evaluation of the framework on experimental and simulated data for hepatitis C virus showed that it substantially reduces the sequencing costs and allows deconvolution of viral populations with a high accuracy. AVAILABILITY AND IMPLEMENTATION The source code and experimental data sets are available at http://alan.cs.gsu.edu/NGS/?q=content/pooling.
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Affiliation(s)
- Pavel Skums
- Division of Viral Hepatitis, Centers of Disease Control and Prevention, Atlanta, GA, USA, Department of Computer Science, Georgia State University, Atlanta, GA, USA and Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA
| | - Alexander Artyomenko
- Division of Viral Hepatitis, Centers of Disease Control and Prevention, Atlanta, GA, USA, Department of Computer Science, Georgia State University, Atlanta, GA, USA and Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA
| | - Olga Glebova
- Division of Viral Hepatitis, Centers of Disease Control and Prevention, Atlanta, GA, USA, Department of Computer Science, Georgia State University, Atlanta, GA, USA and Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA
| | - Sumathi Ramachandran
- Division of Viral Hepatitis, Centers of Disease Control and Prevention, Atlanta, GA, USA, Department of Computer Science, Georgia State University, Atlanta, GA, USA and Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA
| | - Ion Mandoiu
- Division of Viral Hepatitis, Centers of Disease Control and Prevention, Atlanta, GA, USA, Department of Computer Science, Georgia State University, Atlanta, GA, USA and Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA
| | - David S Campo
- Division of Viral Hepatitis, Centers of Disease Control and Prevention, Atlanta, GA, USA, Department of Computer Science, Georgia State University, Atlanta, GA, USA and Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA
| | - Zoya Dimitrova
- Division of Viral Hepatitis, Centers of Disease Control and Prevention, Atlanta, GA, USA, Department of Computer Science, Georgia State University, Atlanta, GA, USA and Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA
| | - Alex Zelikovsky
- Division of Viral Hepatitis, Centers of Disease Control and Prevention, Atlanta, GA, USA, Department of Computer Science, Georgia State University, Atlanta, GA, USA and Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA
| | - Yury Khudyakov
- Division of Viral Hepatitis, Centers of Disease Control and Prevention, Atlanta, GA, USA, Department of Computer Science, Georgia State University, Atlanta, GA, USA and Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA
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