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Raza S, Poria R, Kala D, Sharma N, Sharma AK, Florien N, Tuli HS, Kaushal A, Gupta S. Innovations in dengue virus detection: An overview of conventional and electrochemical biosensor approaches. Biotechnol Appl Biochem 2024; 71:481-500. [PMID: 38225854 DOI: 10.1002/bab.2553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 12/27/2023] [Indexed: 01/17/2024]
Abstract
Globally, people are in great threat due to the highly spreading of viral infectious diseases. Every year like 100-300 million cases of infections are found, and among them, above 80% are not recognized and irrelevant. Dengue virus (DENV) is an arbovirus infection that currently infects people most frequently. DENV encompasses four viral serotypes, and they each express comparable sign. From a mild febrile sickness to a potentially fatal dengue hemorrhagic fever, dengue can induce a variety of symptoms. Presently, the globe is being challenged by the untimely identification of dengue infection. Therefore, this review summarizes advances in the detection of dengue from conventional methods (nucleic acid-based, polymerase chain reaction-based, and serological approaches) to novel biosensors. This work illustrates an extensive study of the current designs and fabrication approaches involved in the formation of electrochemical biosensors for untimely identifications of dengue. Additionally, in electrochemical sensing of DENV, we skimmed through significances of biorecognition molecules like lectins, nucleic acid, and antibodies. The introduction of emerging techniques such as the CRISPR/Cas' system and their integration with biosensing platforms has also been summarized. Furthermore, the review revealed the importance of electrochemical approach compared with traditional diagnostic methods.
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Affiliation(s)
- Shadan Raza
- Department of Bio-Sciences and Technology, Maharishi Markandeshwar (Deemed to Be) University, Mullana, Ambala, India
| | - Renu Poria
- Department of Bio-Sciences and Technology, Maharishi Markandeshwar (Deemed to Be) University, Mullana, Ambala, India
| | - Deepak Kala
- Centera Laboratories, Institute of High Pressure Physics PAS, Warsaw, Poland
| | - Nishant Sharma
- Department of Bio-Sciences and Technology, Maharishi Markandeshwar (Deemed to Be) University, Mullana, Ambala, India
| | - Anil K Sharma
- Department of Biotechnology, Amity University of Punjab, Mohali, Punjab, India
| | - Nkurunziza Florien
- Department of Bio-Sciences and Technology, Maharishi Markandeshwar (Deemed to Be) University, Mullana, Ambala, India
| | - Hardeep S Tuli
- Department of Bio-Sciences and Technology, Maharishi Markandeshwar (Deemed to Be) University, Mullana, Ambala, India
| | - Ankur Kaushal
- Department of Bio-Sciences and Technology, Maharishi Markandeshwar (Deemed to Be) University, Mullana, Ambala, India
| | - Shagun Gupta
- Department of Bio-Sciences and Technology, Maharishi Markandeshwar (Deemed to Be) University, Mullana, Ambala, India
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Dos Santos MAM, Pavon JAR, Dias LS, Viniski AE, Souza CLC, de Oliveira EC, de Azevedo VC, da Silva SP, Cruz ACR, Medeiros DBDA, Nunes MRT, Slhessarenko RD. Dengue virus serotype 2 genotype III evolution during the 2019 outbreak in Mato Grosso, Midwestern Brazil. INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2023; 113:105487. [PMID: 37544570 DOI: 10.1016/j.meegid.2023.105487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 08/01/2023] [Accepted: 08/02/2023] [Indexed: 08/08/2023]
Abstract
DENV-2 was the main responsible for a 70% increase in dengue incidence in Brazil during 2019. That year, our metagenomic study by Illumina NextSeq on serum samples from acute febrile patients (n = 92) with suspected arbovirus infection, sampled in 22 cities of the state of Mato Grosso (MT), in the middle west of Brazil, revealed eight complete genomes and two near-complete sequences of DENV-2 genotype III, one Human parvovirus B19 genotype I (5,391 nt) and one Coxsackievirus A6 lineage D (4,514 nt). These DENV-2 sequences share the aminoacidic identities of BR4 lineage on E protein domains I, II and III, and were included in a clade with sequences of the same lineage circulating in the southeast of Brazil in the same year. Nevertheless, 11/34 non-synonymous mutations are unique to three strains inthis study, distributed in the E (n = 6), NS3 (n = 2) and NS5 (n = 3) proteins. Other 14 aa changes on C (n = 1), E (n = 3), NS1 (n = 2), NS2A (n = 1) and NS5 (n = 7) were first reported in a genotype III lineage, having been already reported only in other DENV-2 genotypes. All 10 sequences have mutations in the NS5 protein (14 different aa changes). Nine E protein aa changes found in two sequences, six of which are unique, are in the ectodomain; where the E:M272T change is on the hinge of the E protein at domain II, in a region critical for the anchoring to the host cell receptor. The NS5:G81R mutation, in the methyltransferase domain, was found in one strain of this study. Altogether, these data points to an important evolution of DENV-2 genotype III lineage BR4 during this outbreak in 2019 in MT. Genomic surveillance is essential to detect virus etiology and evolution, possibly related to immune evasion and viral fitness changes leading to future novel outbreaks.
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Affiliation(s)
- Marcelo Adriano Mendes Dos Santos
- Programa de Pós-Graduação em Ciências da Saúde, Faculdade de Medicina, Universidade Federal de Mato Grosso, Cuiabá, MT, Brazil; Faculdade de Medicina, Universidade do Estado de Mato Grosso, Cáceres, MT, Brazil
| | - Janeth Aracely Ramirez Pavon
- Programa de Pós-Graduação em Ciências da Saúde, Faculdade de Medicina, Universidade Federal de Mato Grosso, Cuiabá, MT, Brazil
| | - Lucas Silva Dias
- Curso de Graduação em Medicina, Faculdade de Medicina, Universidade Federal de Mato Grosso, Cuiabá, MT, Brazil
| | - Ana Elisa Viniski
- Laboratório Central de Saúde Pública do Estado de Mato Grosso, Secretaria de Estado da Saúde, Cuiabá, MT, Brazil
| | - Claudio Luis Campos Souza
- Laboratório Central de Saúde Pública do Estado de Mato Grosso, Secretaria de Estado da Saúde, Cuiabá, MT, Brazil
| | - Elaine Cristina de Oliveira
- Laboratório Central de Saúde Pública do Estado de Mato Grosso, Secretaria de Estado da Saúde, Cuiabá, MT, Brazil
| | - Vergínia Correa de Azevedo
- Laboratório Central de Saúde Pública do Estado de Mato Grosso, Secretaria de Estado da Saúde, Cuiabá, MT, Brazil
| | | | | | | | | | - Renata Dezengrini Slhessarenko
- Programa de Pós-Graduação em Ciências da Saúde, Faculdade de Medicina, Universidade Federal de Mato Grosso, Cuiabá, MT, Brazil.
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Nonyong P, Ekalaksananan T, Phanthanawiboon S, Overgaard HJ, Alexander N, Thaewnongiew K, Sawaswong V, Nimsamer P, Payungporn S, Phadungsombat J, Nakayama EE, Shioda T, Pientong C. Intrahost Genetic Diversity of Dengue Virus in Human Hosts and Mosquito Vectors under Natural Conditions Which Impact Replicative Fitness In Vitro. Viruses 2023; 15:982. [PMID: 37112962 PMCID: PMC10143933 DOI: 10.3390/v15040982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 04/08/2023] [Accepted: 04/16/2023] [Indexed: 04/29/2023] Open
Abstract
Dengue virus (DENV) is an arbovirus whose transmission cycle involves disparate hosts: humans and mosquitoes. The error-prone nature of viral RNA replication drives the high mutation rates, and the consequently high genetic diversity affects viral fitness over this transmission cycle. A few studies have been performed to investigate the intrahost genetic diversity between hosts, although their mosquito infections were performed artificially in the laboratory setting. Here, we performed whole-genome deep sequencing of DENV-1 (n = 11) and DENV-4 (n = 13) derived from clinical samples and field-caught mosquitoes from the houses of naturally infected patients, in order to analyze the intrahost genetic diversity of DENV between host types. Prominent differences in DENV intrahost diversity were observed in the viral population structure between DENV-1 and DENV-4, which appear to be associated with differing selection pressures. Interestingly, three single amino acid substitutions in the NS2A (K81R), NS3 (K107R), and NS5 (I563V) proteins in DENV-4 appear to be specifically acquired during infection in Ae. aegypti mosquitoes. Our in vitro study shows that the NS2A (K81R) mutant replicates similarly to the wild-type infectious clone-derived virus, while the NS3 (K107R), and NS5 (I563V) mutants have prolonged replication kinetics in the early phase in both Vero and C6/36 cells. These findings suggest that DENV is subjected to selection pressure in both mosquito and human hosts. The NS3 and NS5 genes may be specific targets of diversifying selection that play essential roles in early processing, RNA replication, and infectious particle production, and they are potentially adaptive at the population level during host switching.
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Affiliation(s)
- Patcharaporn Nonyong
- Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand; (P.N.); (T.E.); (S.P.)
| | - Tipaya Ekalaksananan
- Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand; (P.N.); (T.E.); (S.P.)
- HPV & EBV and Carcinogenesis Research Group, Khon Kaen University, Khon Kaen 40002, Thailand
| | - Supranee Phanthanawiboon
- Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand; (P.N.); (T.E.); (S.P.)
| | - Hans J. Overgaard
- Faculty of Science and Technology, Norwegian University of Life Sciences, P.O. Box 5003, 1432 Ås, Norway;
| | - Neal Alexander
- MRC International Statistics and Epidemiology Group, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK;
| | - Kesorn Thaewnongiew
- Department of Disease Control, Office of Disease Prevention and Control, Region 7 Khon Kaen, Ministry of Public Health, Khon Kaen 40000, Thailand;
| | - Vorthon Sawaswong
- Program in Bioinformatics and Computational Biology, Graduate School, Chulalongkorn University, Bangkok 10330, Thailand;
- Center of Excellence in Systems Biology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand; (P.N.); (S.P.)
| | - Pattaraporn Nimsamer
- Center of Excellence in Systems Biology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand; (P.N.); (S.P.)
| | - Sunchai Payungporn
- Center of Excellence in Systems Biology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand; (P.N.); (S.P.)
- Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Juthamas Phadungsombat
- Mahidol-Osaka Center for Infectious Diseases (MOCID), Faculty of Tropical Medicine, Mahidol University, Bangkok 10400, Thailand; (J.P.); (E.E.N.)
| | - Emi E. Nakayama
- Mahidol-Osaka Center for Infectious Diseases (MOCID), Faculty of Tropical Medicine, Mahidol University, Bangkok 10400, Thailand; (J.P.); (E.E.N.)
- Research Institute for Microbial Diseases, Osaka University, Osaka 565-0871, Japan
| | - Tatsuo Shioda
- Mahidol-Osaka Center for Infectious Diseases (MOCID), Faculty of Tropical Medicine, Mahidol University, Bangkok 10400, Thailand; (J.P.); (E.E.N.)
- Research Institute for Microbial Diseases, Osaka University, Osaka 565-0871, Japan
| | - Chamsai Pientong
- Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand; (P.N.); (T.E.); (S.P.)
- HPV & EBV and Carcinogenesis Research Group, Khon Kaen University, Khon Kaen 40002, Thailand
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Yu X, Cheng G. Contribution of phylogenetics to understanding the evolution and epidemiology of dengue virus. Animal Model Exp Med 2022; 5:410-417. [PMID: 36245335 PMCID: PMC9610151 DOI: 10.1002/ame2.12283] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 10/05/2022] [Indexed: 11/18/2022] Open
Abstract
Dengue virus (DENV) is one of the most important arboviral pathogens in the tropics and subtropics, and nearly one‐third of the world's population is at risk of infection. The transmission of DENV involves a sylvatic cycle between nonhuman primates (NHP) and Aedes genus mosquitoes, and an endemic cycle between human hosts and predominantly Aedes aegypti. DENV belongs to the genus Flavivirus of the family Flaviviridae and consists of four antigenically distinct serotypes (DENV‐1‐4). Phylogenetic analyses of DENV have revealed its origin, epidemiology, and the drivers that determine its molecular evolution in nature. This review discusses how phylogenetic research has improved our understanding of DENV evolution and how it affects viral ecology and improved our ability to analyze and predict future DENV emergence.
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Affiliation(s)
- Xi Yu
- Tsinghua-Peking Center for Life Sciences, School of Medicine, Tsinghua University, Beijing, China.,Institute of Infectious Diseases, Shenzhen Bay Laboratory, Shenzhen, China.,Institute of Pathogenic Organisms, Shenzhen Center for Disease Control and Prevention, Shenzhen, China.,School of Life Sciences, Tsinghua University, Beijing, China
| | - Gong Cheng
- Tsinghua-Peking Center for Life Sciences, School of Medicine, Tsinghua University, Beijing, China.,Institute of Infectious Diseases, Shenzhen Bay Laboratory, Shenzhen, China.,Institute of Pathogenic Organisms, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
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5
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Li L, Guo X, Zhang X, Zhao L, Li L, Wang Y, Xie T, Yin Q, Jing Q, Hu T, Li Z, Wu R, Zhao W, Xin SX, Shi B, Liu J, Xia S, Peng Z, Yang Z, Zhang F, Chen XG, Zhou X. A unified global genotyping framework of dengue virus serotype-1 for a stratified coordinated surveillance strategy of dengue epidemics. Infect Dis Poverty 2022; 11:107. [PMID: 36224651 PMCID: PMC9556283 DOI: 10.1186/s40249-022-01024-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 09/01/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Dengue is the fastest spreading arboviral disease, posing great challenges on global public health. A reproduceable and comparable global genotyping framework for contextualizing spatiotemporal epidemiological data of dengue virus (DENV) is essential for research studies and collaborative surveillance. METHODS Targeting DENV-1 spreading prominently in recent decades, by reconciling all qualified complete E gene sequences of 5003 DENV-1 strains with epidemiological information from 78 epidemic countries/areas ranging from 1944 to 2018, we established and characterized a unified global high-resolution genotyping framework using phylogenetics, population genetics, phylogeography, and phylodynamics. RESULTS The defined framework was discriminated with three hierarchical layers of genotype, subgenotype and clade with respective mean pairwise distances 2-6%, 0.8-2%, and ≤ 0.8%. The global epidemic patterns of DENV-1 showed strong geographic constraints representing stratified spatial-genetic epidemic pairs of Continent-Genotype, Region-Subgenotype and Nation-Clade, thereby identifying 12 epidemic regions which prospectively facilitates the region-based coordination. The increasing cross-transmission trends were also demonstrated. The traditional endemic countries such as Thailand, Vietnam and Indonesia displayed as persisting dominant source centers, while the emerging epidemic countries such as China, Australia, and the USA, where dengue outbreaks were frequently triggered by importation, showed a growing trend of DENV-1 diffusion. The probably hidden epidemics were found especially in Africa and India. Then, our framework can be utilized in an accurate stratified coordinated surveillance based on the defined viral population compositions. Thereby it is prospectively valuable for further hampering the ongoing transition process of epidemic to endemic, addressing the issue of inadequate monitoring, and warning us to be concerned about the cross-national, cross-regional, and cross-continental diffusions of dengue, which can potentially trigger large epidemics. CONCLUSIONS The framework and its utilization in quantitatively assessing DENV-1 epidemics has laid a foundation and re-unveiled the urgency for establishing a stratified coordinated surveillance platform for blocking global spreading of dengue. This framework is also expected to bridge classical DENV-1 genotyping with genomic epidemiology and risk modeling. We will promote it to the public and update it periodically.
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Affiliation(s)
- Liqiang Li
- Institute of Tropical Medicine, Southern Medical University, Guangzhou, 510515, China
| | - Xiang Guo
- Institute of Tropical Medicine, Southern Medical University, Guangzhou, 510515, China
- Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes, Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Pathogen Biology, School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Xiaoqing Zhang
- Institute of Tropical Medicine, Southern Medical University, Guangzhou, 510515, China
- Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes, Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Pathogen Biology, School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Lingzhai Zhao
- Institute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510060, Guangdong, China
| | - Li Li
- State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Yuji Wang
- Institute of Tropical Medicine, Southern Medical University, Guangzhou, 510515, China
- Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes, Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Pathogen Biology, School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Tian Xie
- Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes, Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Pathogen Biology, School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Qingqing Yin
- Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes, Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Pathogen Biology, School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Qinlong Jing
- Guangzhou Center for Disease Control and Prevention, Guangzhou, 510440, China
| | - Tian Hu
- Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes, Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Pathogen Biology, School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Ziyao Li
- Institute of Tropical Medicine, Southern Medical University, Guangzhou, 510515, China
- Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes, Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Pathogen Biology, School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Rangke Wu
- School of Foreign Studies, Southern Medical University, Guangzhou, 510515, China
| | - Wei Zhao
- BSL-3 Laboratory (Guangdong), School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Sherman Xuegang Xin
- Laboratory of Biophysics, School of Medicine, South China University of Technology, Guangzhou, 510006, China
| | - Benyun Shi
- School of Computer Science and Technology, Nanjing Tech University, Nanjing, 211816, China
| | - Jiming Liu
- Department of Computer Science, Hong Kong Baptist University, Kowloon, Hong Kong, 999077, China
| | - Shang Xia
- National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Zhiqiang Peng
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Zhicong Yang
- Guangzhou Center for Disease Control and Prevention, Guangzhou, 510440, China
| | - Fuchun Zhang
- Institute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510060, Guangdong, China.
| | - Xiao-Guang Chen
- Institute of Tropical Medicine, Southern Medical University, Guangzhou, 510515, China.
- Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes, Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Pathogen Biology, School of Public Health, Southern Medical University, Guangzhou, 510515, China.
| | - Xiaohong Zhou
- Institute of Tropical Medicine, Southern Medical University, Guangzhou, 510515, China.
- Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes, Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Pathogen Biology, School of Public Health, Southern Medical University, Guangzhou, 510515, China.
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Rodríguez-Aguilar ED, Martínez-Barnetche J, Rodríguez MH. Three highly variable genome regions of the four dengue virus serotypes can accurately recapitulate the CDS phylogeny. MethodsX 2022; 9:101859. [PMID: 36187156 PMCID: PMC9516459 DOI: 10.1016/j.mex.2022.101859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 09/10/2022] [Indexed: 11/18/2022] Open
Abstract
The circulation of the four-dengue virus (DENV) serotypes has significantly increased in recent years, accompanied by an increase in viral genetic diversity. In order to conduct disease surveillance and understand DENV evolution and its effects on virus transmission and disease, efficient and accurate methods for phylogenetic classification are required. Phylogenetic analysis of different viral genes sequences is the most used method, the envelope gene (E) being the most frequently selected target. We explored the genetic variability of the four DENV serotypes throughout their complete coding sequence (CDS) of sequences available in GenBank and used genomic regions of different variability rate to recapitulate the phylogeny obtained with the DENV CDS. Our results indicate that the use of high or low variable regions accurately recapitulate the phylogeny obtained with CDS of sequences from different DENV genotypes. However, when analyzing the phylogeny of a single genotype, highly variable regions performed better in recapitulating the distance branch length, topology, and support of the CDS phylogeny. The use of three concatenated highly variable regions was not statistically different in distance branch length and support to that obtained in CDS phylogeny.•This study demonstrated the ability of highly variable regions of the DENV genome to recapitulate the phylogeny obtained with the full coding sequence (CDS).•The use of genomic regions of high or low variability did not affect the performance in recapitulating the phylogeny obtained with CDS from different genotypes. However, when phylogeny was analyzed for sequences from a single genotype, highly variable regions performed better in recapitulating the distance branch length, topology, and support of the CDS phylogeny.•The use of concatenated highly variable genome regions represent a useful option for recapitulating genome-wide phylogenies in analyses of sequences belonging to the same DENV genotype.
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7
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Evolution, heterogeneity and global dispersal of cosmopolitan genotype of Dengue virus type 2. Sci Rep 2021; 11:13496. [PMID: 34188091 PMCID: PMC8241877 DOI: 10.1038/s41598-021-92783-y] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Accepted: 06/16/2021] [Indexed: 02/06/2023] Open
Abstract
Dengue virus type 2 (DENV-2) contributes substantially to the dengue burden and dengue-related mortality in the tropics and sub-tropics. DENV-2 includes six genotypes, among which cosmopolitan genotype is the most widespread. The present study investigated the evolution, intra-genotype heterogeneity and dispersal of cosmopolitan genotype to understand unique genetic characteristics that have shaped the molecular epidemiology and distribution of cosmopolitan lineages. The spatial analysis demonstrated a wide geo-distribution of cosmopolitan genotype through an extensive inter-continental network, anchored in Southeast Asia and Indian sub-continent. Intra-genotype analyses using 3367 envelope gene sequences revealed six distinct lineages within the cosmopolitan genotype, namely the Indian sub-continent lineage and five other lineages. Indian sub-continent lineage was the most diverged among six lineages and has almost reached the nucleotide divergence threshold of 6% within E gene to qualify as a separate genotype. Genome wide amino acid signatures and selection pressure analyses further suggested differences in evolutionary characteristics between the Indian sub-continent lineage and other lineages. The present study narrates a comprehensive genomic analysis of cosmopolitan genotype and presents notable genetic characteristics that occurred during its evolution and global expansion. Whether those characteristics conferred a fitness advantage to cosmopolitan genotype in different geographies warrant further investigations.
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8
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Natali EN, Babrak LM, Miho E. Prospective Artificial Intelligence to Dissect the Dengue Immune Response and Discover Therapeutics. Front Immunol 2021; 12:574411. [PMID: 34211454 PMCID: PMC8239437 DOI: 10.3389/fimmu.2021.574411] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 05/17/2021] [Indexed: 01/02/2023] Open
Abstract
Dengue virus (DENV) poses a serious threat to global health as the causative agent of dengue fever. The virus is endemic in more than 128 countries resulting in approximately 390 million infection cases each year. Currently, there is no approved therapeutic for treatment nor a fully efficacious vaccine. The development of therapeutics is confounded and hampered by the complexity of the immune response to DENV, in particular to sequential infection with different DENV serotypes (DENV1-5). Researchers have shown that the DENV envelope (E) antigen is primarily responsible for the interaction and subsequent invasion of host cells for all serotypes and can elicit neutralizing antibodies in humans. The advent of high-throughput sequencing and the rapid advancements in computational analysis of complex data, has provided tools for the deconvolution of the DENV immune response. Several types of complex statistical analyses, machine learning models and complex visualizations can be applied to begin answering questions about the B- and T-cell immune responses to multiple infections, antibody-dependent enhancement, identification of novel therapeutics and advance vaccine research.
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Affiliation(s)
- Eriberto N. Natali
- Institute of Medical Engineering and Medical Informatics, School of Life Sciences, University of Applied Sciences and Arts Northwestern Switzerland FHNW, Muttenz, Switzerland
| | - Lmar M. Babrak
- Institute of Medical Engineering and Medical Informatics, School of Life Sciences, University of Applied Sciences and Arts Northwestern Switzerland FHNW, Muttenz, Switzerland
| | - Enkelejda Miho
- Institute of Medical Engineering and Medical Informatics, School of Life Sciences, University of Applied Sciences and Arts Northwestern Switzerland FHNW, Muttenz, Switzerland
- SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland
- aiNET GmbH, Basel, Switzerland
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9
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Sapoval N, Mahmoud M, Jochum MD, Liu Y, Elworth RAL, Wang Q, Albin D, Ogilvie HA, Lee MD, Villapol S, Hernandez KM, Maljkovic Berry I, Foox J, Beheshti A, Ternus K, Aagaard KM, Posada D, Mason CE, Sedlazeck FJ, Treangen TJ. SARS-CoV-2 genomic diversity and the implications for qRT-PCR diagnostics and transmission. Genome Res 2021; 31:635-644. [PMID: 33602693 PMCID: PMC8015855 DOI: 10.1101/gr.268961.120] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Accepted: 02/12/2021] [Indexed: 12/23/2022]
Abstract
The COVID-19 pandemic has sparked an urgent need to uncover the underlying biology of this devastating disease. Though RNA viruses mutate more rapidly than DNA viruses, there are a relatively small number of single nucleotide polymorphisms (SNPs) that differentiate the main SARS-CoV-2 lineages that have spread throughout the world. In this study, we investigated 129 RNA-seq data sets and 6928 consensus genomes to contrast the intra-host and inter-host diversity of SARS-CoV-2. Our analyses yielded three major observations. First, the mutational profile of SARS-CoV-2 highlights intra-host single nucleotide variant (iSNV) and SNP similarity, albeit with differences in C > U changes. Second, iSNV and SNP patterns in SARS-CoV-2 are more similar to MERS-CoV than SARS-CoV-1. Third, a significant fraction of insertions and deletions contribute to the genetic diversity of SARS-CoV-2. Altogether, our findings provide insight into SARS-CoV-2 genomic diversity, inform the design of detection tests, and highlight the potential of iSNVs for tracking the transmission of SARS-CoV-2.
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Affiliation(s)
- Nicolae Sapoval
- Department of Computer Science, Rice University, Houston, Texas 77005, USA
| | - Medhat Mahmoud
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Michael D Jochum
- Department of Obstetrics and Gynecology, Baylor College of Medicine and Texas Children's Hospital, Houston, Texas 77030, USA
| | - Yunxi Liu
- Department of Computer Science, Rice University, Houston, Texas 77005, USA
| | - R A Leo Elworth
- Department of Computer Science, Rice University, Houston, Texas 77005, USA
| | - Qi Wang
- Systems, Synthetic, and Physical Biology (SSPB) Graduate Program, Rice University, Houston, Texas 77005, USA
| | - Dreycey Albin
- Systems, Synthetic, and Physical Biology (SSPB) Graduate Program, Rice University, Houston, Texas 77005, USA
| | - Huw A Ogilvie
- Department of Computer Science, Rice University, Houston, Texas 77005, USA
| | - Michael D Lee
- Exobiology Branch, NASA Ames Research Center, Mountain View, California 94043, USA
- Blue Marble Space Institute of Science, Seattle, Washington 98104, USA
| | - Sonia Villapol
- Department of Neurosurgery, Houston Methodist Research Institute, Houston, Texas 77030, USA
| | - Kyle M Hernandez
- Department of Medicine, University of Chicago, Chicago, Illinois 60637, USA
- Center for Translational Data Science, University of Chicago, Chicago, Illinois 60637, USA
| | | | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York 10021, USA
| | - Afshin Beheshti
- KBR, Space Biosciences Division, NASA Ames Research Center, Moffett Field, California 94035, USA
| | | | - Kjersti M Aagaard
- Department of Obstetrics and Gynecology, Baylor College of Medicine and Texas Children's Hospital, Houston, Texas 77030, USA
| | - David Posada
- CINBIO, Universidade de Vigo, 36310 Vigo, Spain
- Department of Biochemistry, Genetics, and Immunology, Universidade de Vigo, 36310 Vigo, Spain
- Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, 36213 Vigo, Spain
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York 10021, USA
| | - Fritz J Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Todd J Treangen
- Department of Computer Science, Rice University, Houston, Texas 77005, USA
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10
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Torres MC, Lima de Mendonça MC, Damasceno dos Santos Rodrigues C, Fonseca V, Ribeiro MS, Brandão AP, Venâncio da Cunha R, Dias AI, Santos Vilas Boas L, Felix AC, Alves Pereira M, de Oliveira Pinto LM, Sakuntabhai A, Bispo de Filippis AM. Dengue Virus Serotype 2 Intrahost Diversity in Patients with Different Clinical Outcomes. Viruses 2021; 13:v13020349. [PMID: 33672226 PMCID: PMC7926750 DOI: 10.3390/v13020349] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2020] [Revised: 02/07/2021] [Accepted: 02/13/2021] [Indexed: 02/07/2023] Open
Abstract
Intrahost genetic diversity is thought to facilitate arbovirus adaptation to changing environments and hosts, and it might also be linked to viral pathogenesis. Dengue virus serotype 2 (DENV-2) has circulated in Brazil since 1990 and is associated with severe disease and explosive outbreaks. Intending to shed light on the viral determinants for severe dengue pathogenesis, we sought to analyze the DENV-2 intrahost genetic diversity in 68 patient cases clinically classified as dengue fever (n = 31), dengue with warning signs (n = 19), and severe dengue (n = 18). Unlike previous DENV intrahost diversity studies whose approaches employed PCR, here we performed viral whole-genome deep sequencing from clinical samples with an amplicon-free approach, representing the real intrahost diversity scenario. Striking differences were detected in the viral population structure between the three clinical categories, which appear to be driven mainly by different infection times and selection pressures, rather than being linked with the clinical outcome itself. Diversity in the NS2B gene, however, showed to be constrained, irrespective of clinical outcome and infection time. Finally, 385 non-synonymous intrahost single-nucleotide variants located along the viral polyprotein, plus variants located in the untranslated regions, were consistently identified among the samples. Of them, 124 were exclusively or highly detected among cases with warning signs and among severe cases. However, there was no variant that by itself appeared to characterize the cases of greater severity, either due to its low intrahost frequency or the conservative effect on amino acid substitution. Although further studies are necessary to determine their real effect on viral proteins, this heightens the possibility of epistatic interactions. The present analysis represents an initial effort to correlate DENV-2 genetic diversity to its pathogenic potential and thus contribute to understanding the virus’s dynamics within its human host.
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Affiliation(s)
- Maria Celeste Torres
- Laboratório de Flavivírus, Instituto Oswaldo Cruz, Fiocruz, 21040-360 Rio de Janeiro, Brazil; (M.C.L.d.M.); (C.D.d.S.R.); (A.M.B.d.F.)
- Correspondence:
| | - Marcos Cesar Lima de Mendonça
- Laboratório de Flavivírus, Instituto Oswaldo Cruz, Fiocruz, 21040-360 Rio de Janeiro, Brazil; (M.C.L.d.M.); (C.D.d.S.R.); (A.M.B.d.F.)
| | | | - Vagner Fonseca
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine and Medical Sciences, Nelson R Mandela School of Medicine, College of Health Sciences, University of KwaZulu-Natal, 4041 Durban, South Africa;
- Laboratório de Genética Celular e Molecular, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, 31270-901 Belo Horizonte, Brazil
- Coordenação Geral dos Laboratórios de Saúde Pública/Secretaria de Vigilância em Saúde, Ministério da Saúde, (CGLAB/SVS-MS) Brasília, 70719-040 Distrito Federal, Brazil
| | - Mario Sergio Ribeiro
- Superintendência Secretaria de Vigilância em Saúde do Estado do Rio de Janeiro, 20031-142 Rio de Janeiro, Brazil;
| | - Ana Paula Brandão
- Laboratório Central Noel Nutels/LACEN, 20231-092 Rio de Janeiro, Brazil;
| | - Rivaldo Venâncio da Cunha
- Coordenação de Vigilância em Saúde e Laboratórios de Referência da Fundação Oswaldo Cruz, FIOCRUZ, 21040-360 Rio de Janeiro, Brazil;
| | - Ana Isabel Dias
- Instituto de Medicina Tropical, Faculdade de Medicina, Universidade de São Paulo, 05403-000 São Paulo, Brazil; (A.I.D.); (L.S.V.B.); (A.C.F.)
| | - Lucy Santos Vilas Boas
- Instituto de Medicina Tropical, Faculdade de Medicina, Universidade de São Paulo, 05403-000 São Paulo, Brazil; (A.I.D.); (L.S.V.B.); (A.C.F.)
| | - Alvina Clara Felix
- Instituto de Medicina Tropical, Faculdade de Medicina, Universidade de São Paulo, 05403-000 São Paulo, Brazil; (A.I.D.); (L.S.V.B.); (A.C.F.)
| | | | | | - Anavaj Sakuntabhai
- Functional Genetics of Infectious Diseases, Department of Global Health, Institut Pasteur, 75015 Paris, France;
| | - Ana Maria Bispo de Filippis
- Laboratório de Flavivírus, Instituto Oswaldo Cruz, Fiocruz, 21040-360 Rio de Janeiro, Brazil; (M.C.L.d.M.); (C.D.d.S.R.); (A.M.B.d.F.)
| | - on behalf of ZikAction Consortium
- Laboratório de Flavivírus, Instituto Oswaldo Cruz, Fiocruz, 21040-360 Rio de Janeiro, Brazil; (M.C.L.d.M.); (C.D.d.S.R.); (A.M.B.d.F.)
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11
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The Early Evolution of Oral Poliovirus Vaccine Is Shaped by Strong Positive Selection and Tight Transmission Bottlenecks. Cell Host Microbe 2020; 29:32-43.e4. [PMID: 33212020 PMCID: PMC7815045 DOI: 10.1016/j.chom.2020.10.011] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 10/12/2020] [Accepted: 10/26/2020] [Indexed: 01/06/2023]
Abstract
The emergence of circulating vaccine-derived polioviruses through evolution of the oral polio vaccine (OPV) poses a significant obstacle to polio eradication. Understanding the early genetic changes that occur as OPV evolves and transmits is important for preventing future outbreaks. Here, we use deep sequencing to define the evolutionary trajectories of type 2 OPV in a vaccine trial. By sequencing 497 longitudinal stool samples from 271 OPV2 recipients and household contacts, we were able to examine the extent of convergent evolution in vaccinated individuals and the amount of viral diversity that is transmitted. In addition to rapid reversion of key attenuating mutations, we identify strong selection at 19 sites across the genome. We find that a tight transmission bottleneck limits the onward transmission of these early adaptive mutations. Our results highlight the distinct evolutionary dynamics of live attenuated virus vaccines and have important implications for the success of next-generation OPV.
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12
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Divergent Mutational Landscapes of Consensus and Minority Genotypes of West Nile Virus Demonstrate Host and Gene-Specific Evolutionary Pressures. Genes (Basel) 2020; 11:genes11111299. [PMID: 33143358 PMCID: PMC7692055 DOI: 10.3390/genes11111299] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 10/19/2020] [Accepted: 10/29/2020] [Indexed: 01/12/2023] Open
Abstract
Our current understanding of the natural evolution of RNA viruses comes largely from consensus level genetic analyses which ignore the diverse mutant swarms that comprise within-host viral populations. The breadth and composition of viral mutant swarms impact viral fitness and adaptation, and the capacity for swarm plasticity is likely to be particularly important for arthropod-borne viruses (arboviruses) that cycle between taxonomically divergent hosts. Despite this, characterization of the relationship between the selective pressures and genetic signatures of the mutant swarm and consensus sequences is lacking. To clarify this, we analyzed previously generated whole genome, deep-sequencing data from 548 West Nile virus samples isolated from avian tissues or mosquitoes in New York State from 1999-2018. Both consensus level (interhost) and minority level (intrahost) nucleotide and amino acid sequences were analyzed, and diversity at each position was calculated across the genome in order to assess the relationship between minority and consensus sequences for individual genes and hosts. Our results indicate that consensus sequences are an inept representation of the overall genetic diversity. Unique host and gene-specific signatures and selective pressures were identified. These data demonstrate that an accurate and comprehensive understanding of arbovirus evolution and adaptation within and between hosts requires consideration of minority genotypes.
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13
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Shukla R, Ramasamy V, Shanmugam RK, Ahuja R, Khanna N. Antibody-Dependent Enhancement: A Challenge for Developing a Safe Dengue Vaccine. Front Cell Infect Microbiol 2020; 10:572681. [PMID: 33194810 PMCID: PMC7642463 DOI: 10.3389/fcimb.2020.572681] [Citation(s) in RCA: 83] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 09/15/2020] [Indexed: 01/05/2023] Open
Abstract
In 2019, the United States Food and Drug Administration accorded restricted approval to Sanofi Pasteur's Dengvaxia, a live attenuated vaccine (LAV) for dengue fever, a mosquito-borne viral disease, caused by four antigenically distinct dengue virus serotypes (DENV 1-4). The reason for this limited approval is the concern that this vaccine sensitized some of the dengue-naïve recipients to severe dengue fever. Recent knowledge about the nature of the immune response elicited by DENV viruses suggests that all LAVs have inherent capacity to predominantly elicit antibodies (Abs) against the pre-membrane (prM) and fusion loop epitope (FLE) of DENV. These antibodies are generally cross-reactive among DENV serotypes carrying a higher risk of promoting Antibody-Dependent Enhancement (ADE). ADE is a phenomenon in which suboptimal neutralizing or non-neutralizing cross-reactive antibodies bind to virus and facilitate Fcγ receptor mediated enhanced entry into host cells, followed by its replication, and thus increasing the cellular viral load. On the other hand, antibody responses directed against the host-cell receptor binding domain of DENV envelope domain-III (EDIII), exhibit a higher degree of type-specificity with lower potential of ADE. The challenges associated with whole DENV-based vaccine strategies necessitate re-focusing our attention toward the designed dengue vaccine candidates, capable of inducing predominantly type-specific immune responses. If the designed vaccines elicited predominantly EDIII-directed serotype specific antibodies in the absence of prM and FLE antibodies, this could avoid the ADE phenomenon largely associated with the prM and FLE antibodies. The generation of type-specific antibodies to each of the four DENV serotypes by the designed vaccines could avoid the immune evasion mechanisms of DENVs. For the enhanced vaccine safety, all dengue vaccine candidates should be assessed for the extent of type-specific (minimal ADE) vs. cross-reactive (ADE promoting) neutralizing antibodies. The type-specific EDIII antibodies may be more directly related to protection from disease in the absence of ADE promoted by the cross-reactive antibodies.
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Affiliation(s)
- Rahul Shukla
- Translational Health Group, Molecular Medicine Division, International Centre for Genetic Engineering and Biotechnology, New Delhi, India
| | - Viswanathan Ramasamy
- Translational Health Group, Molecular Medicine Division, International Centre for Genetic Engineering and Biotechnology, New Delhi, India
| | - Rajgokul K Shanmugam
- Translational Health Group, Molecular Medicine Division, International Centre for Genetic Engineering and Biotechnology, New Delhi, India
| | - Richa Ahuja
- Translational Health Group, Molecular Medicine Division, International Centre for Genetic Engineering and Biotechnology, New Delhi, India
| | - Navin Khanna
- Translational Health Group, Molecular Medicine Division, International Centre for Genetic Engineering and Biotechnology, New Delhi, India
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14
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Sapoval N, Mahmoud M, Jochum MD, Liu Y, Elworth RAL, Wang Q, Albin D, Ogilvie H, Lee MD, Villapol S, Hernandez KM, Berry IM, Foox J, Beheshti A, Ternus K, Aagaard KM, Posada D, Mason CE, Sedlazeck F, Treangen TJ. Hidden genomic diversity of SARS-CoV-2: implications for qRT-PCR diagnostics and transmission. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2020:2020.07.02.184481. [PMID: 32637955 PMCID: PMC7337385 DOI: 10.1101/2020.07.02.184481] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
The COVID-19 pandemic has sparked an urgent need to uncover the underlying biology of this devastating disease. Though RNA viruses mutate more rapidly than DNA viruses, there are a relatively small number of single nucleotide polymorphisms (SNPs) that differentiate the main SARS-CoV-2 clades that have spread throughout the world. In this study, we investigated over 7,000 SARS-CoV-2 datasets to unveil both intrahost and interhost diversity. Our intrahost and interhost diversity analyses yielded three major observations. First, the mutational profile of SARS-CoV-2 highlights iSNV and SNP similarity, albeit with high variability in C>T changes. Second, iSNV and SNP patterns in SARS-CoV-2 are more similar to MERS-CoV than SARS-CoV-1. Third, a significant fraction of small indels fuel the genetic diversity of SARS-CoV-2. Altogether, our findings provide insight into SARS-CoV-2 genomic diversity, inform the design of detection tests, and highlight the potential of iSNVs for tracking the transmission of SARS-CoV-2.
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Affiliation(s)
- Nicolae Sapoval
- Department of Computer Science, Rice University, Houston, TX, USA
| | - Medhat Mahmoud
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX
| | - Michael D. Jochum
- Baylor College of Medicine and Texas Children’s Hospital, Houston, TX
| | - Yunxi Liu
- Department of Computer Science, Rice University, Houston, TX, USA
| | | | - Qi Wang
- Systems, Synthetic, and Physical Biology (SSPB) Graduate Program, Houston, TX
| | - Dreycey Albin
- Systems, Synthetic, and Physical Biology (SSPB) Graduate Program, Houston, TX
| | - Huw Ogilvie
- Department of Computer Science, Rice University, Houston, TX, USA
| | - Michael D. Lee
- Exobiology Branch, NASA Ames Research Center, Mountain View, CA
- Blue Marble Space Institute of Science, Seattle, WA
| | | | - Kyle M. Hernandez
- Department of Medicine, University of Chicago, Chicago, IL
- Center for Translational Data Science, University of Chicago, Chicago, IL
| | | | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York
| | - Afshin Beheshti
- KBR, Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA
| | - Krista Ternus
- Signature Science, LLC, 8329 North Mopac Expressway, Austin TX 78759
| | | | - David Posada
- Biomedical Research Center (CINBIO), University of Vigo, 36310 Vigo, Spain
- Department of Biochemistry, Genetics and Immunology School of Biology, University of Vigo, Vigo, Spain
- Galicia Sur Health Research Institute, 36310 Vigo, Spain
| | - Christopher E. Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York
| | - Fritz Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX
| | - Todd J. Treangen
- Department of Computer Science, Rice University, Houston, TX, USA
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15
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Ko HY, Salem GM, Chang GJJ, Chao DY. Application of Next-Generation Sequencing to Reveal How Evolutionary Dynamics of Viral Population Shape Dengue Epidemiology. Front Microbiol 2020; 11:1371. [PMID: 32636827 PMCID: PMC7318875 DOI: 10.3389/fmicb.2020.01371] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Accepted: 05/27/2020] [Indexed: 12/13/2022] Open
Abstract
Dengue viral (DENV) infection results in a wide spectrum of clinical manifestations from asymptomatic, mild fever to severe hemorrhage diseases upon infection. Severe dengue is the leading cause of pediatric deaths and/or hospitalizations, which are a major public health burden in dengue-endemic or hyperendemic countries. Like other RNA viruses, DENV continues to evolve. Adaptive mutations are obscured by the major consensus sequence (so-called wild-type sequences) and can only be identified once they become the dominant viruses in the virus population, a process that can take months or years. Traditional surveillance systems still rely on Sanger consensus sequencing. However, with the recent advancement of high-throughput next-generation sequencing (NGS) technologies, the genome-wide investigation of virus population within-host and between-hosts becomes achievable. Thus, viral population sequencing by NGS can increase our understanding of the changing epidemiology and evolution of viral genomics at the molecular level. This review focuses on the studies within the recent decade utilizing NGS in different experimental and epidemiological settings to understand how the adaptive evolution of dengue variants shapes the dengue epidemic and disease severity through its transmission. We propose three types of studies that can be pursued in the future to enhance our surveillance for epidemic prediction and better medical management.
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Affiliation(s)
- Hui-Ying Ko
- Graduate Institute of Microbiology and Public Health, College of Veterinary Medicine, National Chung-Hsing University, Taichung, Taiwan
| | - Gielenny M Salem
- Graduate Institute of Microbiology and Public Health, College of Veterinary Medicine, National Chung-Hsing University, Taichung, Taiwan
| | - Gwong-Jen J Chang
- Arboviral Diseases Branch, Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, Fort Collins, CO, United States
| | - Day-Yu Chao
- Graduate Institute of Microbiology and Public Health, College of Veterinary Medicine, National Chung-Hsing University, Taichung, Taiwan
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16
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Kiselev D, Matsvay A, Abramov I, Dedkov V, Shipulin G, Khafizov K. Current Trends in Diagnostics of Viral Infections of Unknown Etiology. Viruses 2020; 12:E211. [PMID: 32074965 PMCID: PMC7077230 DOI: 10.3390/v12020211] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 02/10/2020] [Accepted: 02/12/2020] [Indexed: 12/27/2022] Open
Abstract
Viruses are evolving at an alarming rate, spreading and inconspicuously adapting to cutting-edge therapies. Therefore, the search for rapid, informative and reliable diagnostic methods is becoming urgent as ever. Conventional clinical tests (PCR, serology, etc.) are being continually optimized, yet provide very limited data. Could high throughput sequencing (HTS) become the future gold standard in molecular diagnostics of viral infections? Compared to conventional clinical tests, HTS is universal and more precise at profiling pathogens. Nevertheless, it has not yet been widely accepted as a diagnostic tool, owing primarily to its high cost and the complexity of sample preparation and data analysis. Those obstacles must be tackled to integrate HTS into daily clinical practice. For this, three objectives are to be achieved: (1) designing and assessing universal protocols for library preparation, (2) assembling purpose-specific pipelines, and (3) building computational infrastructure to suit the needs and financial abilities of modern healthcare centers. Data harvested with HTS could not only augment diagnostics and help to choose the correct therapy, but also facilitate research in epidemiology, genetics and virology. This information, in turn, could significantly aid clinicians in battling viral infections.
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Affiliation(s)
- Daniel Kiselev
- FSBI “Center of Strategic Planning” of the Ministry of Health, 119435 Moscow, Russia; (D.K.); (A.M.); (I.A.); (G.S.)
- I.M. Sechenov First Moscow State Medical University, 119146 Moscow, Russia
| | - Alina Matsvay
- FSBI “Center of Strategic Planning” of the Ministry of Health, 119435 Moscow, Russia; (D.K.); (A.M.); (I.A.); (G.S.)
- Moscow Institute of Physics and Technology, National Research University, 117303 Moscow, Russia
| | - Ivan Abramov
- FSBI “Center of Strategic Planning” of the Ministry of Health, 119435 Moscow, Russia; (D.K.); (A.M.); (I.A.); (G.S.)
| | - Vladimir Dedkov
- Pasteur Institute, Federal Service on Consumers’ Rights Protection and Human Well-Being Surveillance, 197101 Saint-Petersburg, Russia;
- Martsinovsky Institute of Medical Parasitology, Tropical and Vector Borne Diseases, Sechenov First Moscow State Medical University, 119146 Moscow, Russia
| | - German Shipulin
- FSBI “Center of Strategic Planning” of the Ministry of Health, 119435 Moscow, Russia; (D.K.); (A.M.); (I.A.); (G.S.)
| | - Kamil Khafizov
- FSBI “Center of Strategic Planning” of the Ministry of Health, 119435 Moscow, Russia; (D.K.); (A.M.); (I.A.); (G.S.)
- Moscow Institute of Physics and Technology, National Research University, 117303 Moscow, Russia
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17
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Endless Forms: Within-Host Variation in the Structure of the West Nile Virus RNA Genome during Serial Passage in Bird Hosts. mSphere 2019; 4:4/3/e00291-19. [PMID: 31243074 PMCID: PMC6595145 DOI: 10.1128/msphere.00291-19] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
The enzymes that copy RNA genomes lack proofreading, and viruses that possess RNA genomes, such as West Nile virus, rapidly diversify into swarms of mutant lineages within a host. Intrahost variation of the primary genomic sequence of RNA viruses has been studied extensively because the extent of this variation shapes key virus phenotypes. However, RNA genomes also form complex secondary structures based on within-genome nucleotide complementarity, which are critical regulators of the cyclization of the virus genome that is necessary for efficient replication and translation. We sought to characterize variation in these secondary structures within populations of West Nile virus during serial passage in three bird species. Our study indicates that the intrahost population of West Nile virus is a diverse assortment of RNA secondary structures that should be considered in future analyses of intrahost viral diversity, but some regions that are critical for genome cyclization are conserved within hosts. Besides potential impacts on viral replication, structural diversity can influence the efficacy of small RNA antiviral therapies. RNA viruses are infamous for their high rates of mutation, which produce swarms of genetic variants within individual hosts. To date, analyses of intrahost genetic diversity have focused on the primary genome sequence. However, virus phenotypes are shaped not only by primary sequence but also by the secondary structures into which this sequence folds. Such structures enable viral replication, translation, and binding of small RNAs, yet within-host variation at the structural level has not been adequately explored. We characterized the structural diversity of the 5′ untranslated region (UTR) of populations of West Nile virus (WNV) that had been subject to five serial passages in triplicate in each of three bird species. Viral genomes were sampled from host serum samples at each passage (n = 45 populations) and subjected to next-generation sequencing. For populations derived from passages 1, 3, and 5 (n = 9 populations), we predicted the impact of each mutation occurring at a frequency of ≥1% on the secondary structure of the 5′ UTR. As expected, mutations in double-stranded (DS) regions of the 5′ UTR stem structures caused structural changes of significantly greater magnitude than did mutations in single-stranded (SS) regions. Despite the greater impact of mutations in DS regions, mutations in DS and SS regions occurred at similar frequencies, with no evidence of enhanced selection against mutation in DS regions. In contrast, mutations in two regions that mediate genome cyclization and thereby regulate replication and translation, the 5′ cyclization sequence and the UAR flanking stem (UFS), were suppressed in all three hosts. IMPORTANCE The enzymes that copy RNA genomes lack proofreading, and viruses that possess RNA genomes, such as West Nile virus, rapidly diversify into swarms of mutant lineages within a host. Intrahost variation of the primary genomic sequence of RNA viruses has been studied extensively because the extent of this variation shapes key virus phenotypes. However, RNA genomes also form complex secondary structures based on within-genome nucleotide complementarity, which are critical regulators of the cyclization of the virus genome that is necessary for efficient replication and translation. We sought to characterize variation in these secondary structures within populations of West Nile virus during serial passage in three bird species. Our study indicates that the intrahost population of West Nile virus is a diverse assortment of RNA secondary structures that should be considered in future analyses of intrahost viral diversity, but some regions that are critical for genome cyclization are conserved within hosts. Besides potential impacts on viral replication, structural diversity can influence the efficacy of small RNA antiviral therapies.
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18
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Salvo MA, Aliota MT, Moncla LH, Velez ID, Trujillo AI, Friedrich TC, Osorio JE. Tracking dengue virus type 1 genetic diversity during lineage replacement in an hyperendemic area in Colombia. PLoS One 2019; 14:e0212947. [PMID: 30845200 PMCID: PMC6405123 DOI: 10.1371/journal.pone.0212947] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Accepted: 02/12/2019] [Indexed: 12/16/2022] Open
Abstract
Dengue virus (DENV) is a flavivirus responsible for the most common and burdensome arthropod-borne viral disease of humans[1]. DENV evolution has been extensively studied on broad geographic and time scales, using sequences from a single gene[2,3]. It is believed that DENV evolution in humans is dominated primarily by purifying selection due to the constraint of maintaining fitness in both humans and mosquitoes[4,5]. Few studies have explored DENV evolutionary dynamics using whole genome sequences, nor have they explored changes in viral diversity that occur during intra-epidemic periods. We used deep sequencing of the viral coding region to characterize DENV-1 evolution in a Colombian population sampled during two high-prevalence dengue seasons in which serotype dominance shifted. Our data demonstrate patterns of strain extinction and replacement within DENV-1 as its prevalence waned and DENV-3 became established. A comparison of whole-genome versus single-gene-based phylogenetic analyses highlights an important difference in evolutionary patterns. We report a trend of higher nonsynonymous to synonymous diversity ratios among non-structural (NS) genes, and statistically significantly higher values among these ratios in the NS1 gene after DENV-1 strain replacement. These results suggest that positive selection could be driving DENV evolution within individual communities. Signals of positive selection coming from distinct samples may be drowned out when combining multiple regions with differing patterns of endemic transmission as commonly done by large-scale geo-temporal assessments. Here, we frame our findings within a small, local transmission history which aids significance. Moreover, these data suggest that the NS1 gene, rather than the E gene, may be a target of positive selection, although not mutually exclusive, and potentially useful sentinel of adaptive changes at the population level.
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Affiliation(s)
- Mauricio A. Salvo
- Department of Pathobiological Sciences, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Matthew T. Aliota
- Department of Pathobiological Sciences, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Louise H. Moncla
- Department of Pathobiological Sciences, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Ivan D. Velez
- Programa de Estudio y Control de Enfermedades Tropicales (PECET), Universidad de Antioquia, Medellin, Colombia
| | - Andrea I. Trujillo
- Programa de Estudio y Control de Enfermedades Tropicales (PECET), Universidad de Antioquia, Medellin, Colombia
| | - Thomas C. Friedrich
- Department of Pathobiological Sciences, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
- Wisconsin National Primate Research Center, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Jorge E. Osorio
- Department of Pathobiological Sciences, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
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19
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Chisholm PJ, Busch JW, Crowder DW. Effects of life history and ecology on virus evolutionary potential. Virus Res 2019; 265:1-9. [PMID: 30831177 DOI: 10.1016/j.virusres.2019.02.018] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Revised: 02/27/2019] [Accepted: 02/28/2019] [Indexed: 11/28/2022]
Abstract
The life history traits of viruses pose many consequences for viral population structure. In turn, population structure may influence the evolutionary trajectory of a virus. Here we review factors that affect the evolutionary potential of viruses, including rates of mutation and recombination, bottlenecks, selection pressure, and ecological factors such as the requirement for hosts and vectors. Mutation, while supplying a pool of raw genetic material, also results in the generation of numerous unfit mutants. The infection of multiple host species may expand a virus' ecological niche, although it may come at a cost to genetic diversity. Vector-borne viruses often experience a diminished frequency of positive selection and exhibit little diversity, and resistance against vector-borne viruses may thus be more durable than against non-vectored viruses. Evidence indicates that adaptation to a vector is more evolutionarily difficult than adaptation to a host. Overall, a better understanding of how various factors influence viral dynamics in both plant and animal pathosystems will lead to more effective anti-viral treatments and countermeasures.
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Affiliation(s)
- Paul J Chisholm
- Department of Entomology, Washington State University, 166 FSHN Building, Pullman, WA, 99164, USA.
| | - Jeremiah W Busch
- School of Biological Sciences, Washington State University, PO Box 644236, Pullman, WA, 99164, USA.
| | - David W Crowder
- Department of Entomology, Washington State University, 166 FSHN Building, Pullman, WA, 99164, USA.
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20
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Abstract
Viruses, which are the most abundant biological entities on the planet, have been regarded as the "dark matter" of biology in the sense that despite their ubiquity and frequent presence in large numbers, their detection and analysis are not always straightforward. The majority of them are very small (falling under the limit of 0.5 μm), and collectively, they are extraordinarily diverse. In fact, the majority of the genetic diversity on the planet is found in the so-called virosphere, or the world of viruses. Furthermore, the most frequent viral agents of disease in humans display an RNA genome, and frequently evolve very fast, due to the fact that most of their polymerases are devoid of proofreading activity. Therefore, their detection, genetic characterization, and epidemiological surveillance are rather challenging. This review (part of the Curated Collection on Advances in Molecular Epidemiology of Infectious Diseases) describes many of the methods that, throughout the last few decades, have been used for viral detection and analysis. Despite the challenge of having to deal with high genetic diversity, the majority of these methods still depend on the amplification of viral genomic sequences, using sequence-specific or sequence-independent approaches, exploring thermal profiles or a single nucleic acid amplification temperature. Furthermore, viral populations, and especially those with RNA genomes, are not usually genetically uniform but encompass swarms of genetically related, though distinct, viral genomes known as viral quasispecies. Therefore, sequence analysis of viral amplicons needs to take this fact into consideration, as it constitutes a potential analytic problem. Possible technical approaches to deal with it are also described here. *This article is part of a curated collection.
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Huang SW, Hung SJ, Wang JR. Application of deep sequencing methods for inferring viral population diversity. J Virol Methods 2019; 266:95-102. [PMID: 30690049 DOI: 10.1016/j.jviromet.2019.01.013] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Revised: 01/11/2019] [Accepted: 01/24/2019] [Indexed: 12/13/2022]
Abstract
The first deep sequencing method was announced in 2005. Due to an increasing number of sequencing data and a reduction in the costs of each sequencing dataset, this innovative technique was soon applied to genetic investigations of viral genome diversity in various viruses, particularly RNA viruses. These deep sequencing findings documented viral epidemiology and evolution and provided high-resolution data on the genetic changes in viral populations. Here, we review deep sequencing platforms that have been applied in viral quasispecies studies. Further, we discuss recent deep sequencing studies on viral inter- and intrahost evolution, drug resistance, and humoral immune selection, especially in emerging and re-emerging viruses. Deep sequencing methods are becoming the standard for providing comprehensive results of viral population diversity, and their applications are discussed.
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Affiliation(s)
- Sheng-Wen Huang
- National Mosquito-Borne Diseases Control Research Center, National Health Research Institutes, Tainan, Taiwan
| | - Su-Jhen Hung
- Department of Medical Laboratory Science and Biotechnology, National Cheng Kung University, Tainan, Taiwan
| | - Jen-Ren Wang
- Department of Medical Laboratory Science and Biotechnology, National Cheng Kung University, Tainan, Taiwan; Center of Infectious Disease and Signaling Research, National Cheng Kung University, Tainan, Taiwan; Department of Pathology, National Cheng Kung University Hospital, Tainan, Taiwan; National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Tainan, Taiwan.
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22
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Keasey SL, Smith JL, Fernandez S, Durbin AP, Zhao BM, Ulrich RG. Impact of Dengue Virus Serotype 2 Strain Diversity on Serological Immune Responses to Dengue. ACS Infect Dis 2018; 4:1705-1717. [PMID: 30347144 DOI: 10.1021/acsinfecdis.8b00185] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Dengue is a mosquito-borne disease caused by four dengue virus serotypes (DENV1-4) that are loosely categorized by sequence commonalities and antibody recognition profiles. The highly variable envelope protein (E) that is prominently displayed on the surface of DENV is an essential component of vaccines currently under development, yet the impact of using single strains to represent each serotype in tetravalent vaccines has not been adequately studied. We synthesized chimeric E by replacing highly variable residues from a dengue virus serotype 2 vaccine strain (PUO-218) with those from 16 DENV2 lineages spanning 60 years of antigen evolution. Examining sera from human and rhesus macaques challenged with single strains of DENV2, antibody-E interactions were markedly inhibited or enhanced by residues mainly focused within a 480 Å2 footprint displayed on the E backbone. The striking impact of E diversity on polyclonal immune responses suggests that frequent antigen updates may be necessary for vaccines to counter shifts in circulating strains.
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Affiliation(s)
- Sarah L. Keasey
- Molecular and Translational Sciences Division, U.S. Army Medical Research Institute of Infectious Diseases, 1425 Porter Street, Frederick, Maryland 21702, United States
- Department of Biological Sciences, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, Maryland 21250, United States
| | - Jessica L. Smith
- Molecular and Translational Sciences Division, U.S. Army Medical Research Institute of Infectious Diseases, 1425 Porter Street, Frederick, Maryland 21702, United States
| | - Stefan Fernandez
- Armed Forces Research Institute of Medical Sciences, Bangkok, 10400, Thailand
| | - Anna P. Durbin
- Center for Immunization Research, Johns Hopkins Bloomberg School of Public Health, 624 North Broadway, Room 251, Baltimore, Maryland 21205, United States
| | - Bryan M. Zhao
- Molecular and Translational Sciences Division, U.S. Army Medical Research Institute of Infectious Diseases, 1425 Porter Street, Frederick, Maryland 21702, United States
| | - Robert G. Ulrich
- Molecular and Translational Sciences Division, U.S. Army Medical Research Institute of Infectious Diseases, 1425 Porter Street, Frederick, Maryland 21702, United States
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23
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Bah SY, Morang'a CM, Kengne-Ouafo JA, Amenga-Etego L, Awandare GA. Highlights on the Application of Genomics and Bioinformatics in the Fight Against Infectious Diseases: Challenges and Opportunities in Africa. Front Genet 2018; 9:575. [PMID: 30538723 PMCID: PMC6277583 DOI: 10.3389/fgene.2018.00575] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2018] [Accepted: 11/08/2018] [Indexed: 01/18/2023] Open
Abstract
Genomics and bioinformatics are increasingly contributing to our understanding of infectious diseases caused by bacterial pathogens such as Mycobacterium tuberculosis and parasites such as Plasmodium falciparum. This ranges from investigations of disease outbreaks and pathogenesis, host and pathogen genomic variation, and host immune evasion mechanisms to identification of potential diagnostic markers and vaccine targets. High throughput genomics data generated from pathogens and animal models can be combined with host genomics and patients’ health records to give advice on treatment options as well as potential drug and vaccine interactions. However, despite accounting for the highest burden of infectious diseases, Africa has the lowest research output on infectious disease genomics. Here we review the contributions of genomics and bioinformatics to the management of infectious diseases of serious public health concern in Africa including tuberculosis (TB), dengue fever, malaria and filariasis. Furthermore, we discuss how genomics and bioinformatics can be applied to identify drug and vaccine targets. We conclude by identifying challenges to genomics research in Africa and highlighting how these can be overcome where possible.
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Affiliation(s)
- Saikou Y Bah
- West African Centre for Cell Biology of Infectious Pathogens, University of Ghana, Accra, Ghana.,Vaccine and Immunity Theme, MRC Unit The Gambia at London School of Hygiene & Tropical Medicine, Banjul, Gambia
| | - Collins Misita Morang'a
- West African Centre for Cell Biology of Infectious Pathogens, University of Ghana, Accra, Ghana
| | - Jonas A Kengne-Ouafo
- West African Centre for Cell Biology of Infectious Pathogens, University of Ghana, Accra, Ghana
| | - Lucas Amenga-Etego
- West African Centre for Cell Biology of Infectious Pathogens, University of Ghana, Accra, Ghana
| | - Gordon A Awandare
- West African Centre for Cell Biology of Infectious Pathogens, University of Ghana, Accra, Ghana
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24
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Intrahost Selection Pressures Drive Rapid Dengue Virus Microevolution in Acute Human Infections. Cell Host Microbe 2018; 22:400-410.e5. [PMID: 28910637 PMCID: PMC5616187 DOI: 10.1016/j.chom.2017.08.003] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2017] [Revised: 07/06/2017] [Accepted: 08/07/2017] [Indexed: 11/24/2022]
Abstract
Dengue, caused by four dengue virus serotypes (DENV-1 to DENV-4), is a highly prevalent mosquito-borne viral disease in humans. Yet, selection pressures driving DENV microevolution within human hosts (intrahost) remain unknown. We employed a whole-genome segmented amplification approach coupled with deep sequencing to profile DENV-3 intrahost diversity in peripheral blood mononuclear cell (PBMC) and plasma samples from 77 dengue patients. DENV-3 intrahost diversity appears to be driven by immune pressures as well as replicative success in PBMCs and potentially other replication sites. Hotspots for intrahost variation were detected in 59%-78% of patients in the viral Envelope and pre-Membrane/Membrane proteins, which together form the virion surface. Dominant variants at the hotspots arose via convergent microevolution, appear to be immune-escape variants, and were evolutionarily constrained at the macro level due to viral replication defects. Dengue is thus an example of an acute infection in which selection pressures within infected individuals drive rapid intrahost virus microevolution.
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Pollett S, Melendrez MC, Maljkovic Berry I, Duchêne S, Salje H, Cummings DAT, Jarman RG. Understanding dengue virus evolution to support epidemic surveillance and counter-measure development. INFECTION GENETICS AND EVOLUTION 2018; 62:279-295. [PMID: 29704626 DOI: 10.1016/j.meegid.2018.04.032] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2017] [Revised: 04/20/2018] [Accepted: 04/24/2018] [Indexed: 11/30/2022]
Abstract
Dengue virus (DENV) causes a profound burden of morbidity and mortality, and its global burden is rising due to the co-circulation of four divergent DENV serotypes in the ecological context of globalization, travel, climate change, urbanization, and expansion of the geographic range of the Ae.aegypti and Ae.albopictus vectors. Understanding DENV evolution offers valuable opportunities to enhance surveillance and response to DENV epidemics via advances in RNA virus sequencing, bioinformatics, phylogenetic and other computational biology methods. Here we provide a scoping overview of the evolution and molecular epidemiology of DENV and the range of ways that evolutionary analyses can be applied as a public health tool against this arboviral pathogen.
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Affiliation(s)
- S Pollett
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA; Marie Bashir Institute, University of Sydney, NSW, Australia; Institute for Global Health Sciences, University of California at San Francisco, CA, USA.
| | - M C Melendrez
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - I Maljkovic Berry
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - S Duchêne
- Department of Biochemistry and Molecular Biology, Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, Australia
| | - H Salje
- Institut Pasteur, Paris, France; Johns Hopkins School of Public Health, Baltimore, MD, USA
| | - D A T Cummings
- Johns Hopkins School of Public Health, Baltimore, MD, USA; University of Florida, FL, USA
| | - R G Jarman
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA
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26
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Patterson EI, Khanipov K, Rojas MM, Kautz TF, Rockx-Brouwer D, Golovko G, Albayrak L, Fofanov Y, Forrester NL. Mosquito bottlenecks alter viral mutant swarm in a tissue and time-dependent manner with contraction and expansion of variant positions and diversity. Virus Evol 2018; 4:vey001. [PMID: 29479479 PMCID: PMC5814806 DOI: 10.1093/ve/vey001] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Viral diversity is theorized to play a significant role during virus infections, particularly for arthropod-borne viruses (arboviruses) that must infect both vertebrate and invertebrate hosts. To determine how viral diversity influences mosquito infection and dissemination Culex taeniopus mosquitoes were infected with the Venezuelan equine encephalitis virus endemic strain 68U201. Bodies and legs/wings of the mosquitoes were collected individually and subjected to multi-parallel sequencing. Virus sequence diversity was calculated for each tissue. Greater diversity was seen in mosquitoes with successful dissemination versus those with no dissemination. Diversity across time revealed that bottlenecks influence diversity following dissemination to the legs/wings, but levels of diversity are restored by Day 12 post-dissemination. Specific minority variants were repeatedly identified across the mosquito cohort, some in nearly every tissue and time point, suggesting that certain variants are important in mosquito infection and dissemination. This study demonstrates that the interaction between the mosquito and the virus results in changes in diversity and the mutational spectrum and may be essential for successful transition of the bottlenecks associated with arbovirus infection.
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Affiliation(s)
- Edward I Patterson
- Department of Pathology, Institute for Human Infections and Immunity, University of Texas Medical Branch, 301 University Boulevard, Galveston, TX 77555-0610, USA
| | - Kamil Khanipov
- Department of Pharmacology and Toxicology, Sealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, Galveston, TX 77555-0617, USA
| | - Mark M Rojas
- Department of Pharmacology and Toxicology, Sealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, Galveston, TX 77555-0617, USA
| | - Tiffany F Kautz
- Department of Pathology, Institute for Human Infections and Immunity, University of Texas Medical Branch, 301 University Boulevard, Galveston, TX 77555-0610, USA
| | - Dedeke Rockx-Brouwer
- Department of Pathology, Institute for Human Infections and Immunity, University of Texas Medical Branch, 301 University Boulevard, Galveston, TX 77555-0610, USA
| | - Georgiy Golovko
- Department of Pharmacology and Toxicology, Sealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, Galveston, TX 77555-0617, USA
| | - Levent Albayrak
- Department of Pharmacology and Toxicology, Sealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, Galveston, TX 77555-0617, USA
| | - Yuriy Fofanov
- Department of Pharmacology and Toxicology, Sealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, Galveston, TX 77555-0617, USA
| | - Naomi L Forrester
- Department of Pathology, Institute for Human Infections and Immunity, University of Texas Medical Branch, 301 University Boulevard, Galveston, TX 77555-0610, USA
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27
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Abstract
The role of intra-host genetic diversity in dengue viral populations remains a topic of debate, particularly the impact on transmission of changes in this diversity. Several approaches have been taken to increasing and decreasing the genetic diversity of populations of RNA viruses and have drawn what appear to be contradictory conclusions. A 2-6 fold increase in genetic diversity of a wild type population of dengue virus serotype 1(DENV1) and of an infectious clone population derived from the wild type population, produced by treatment with nucleotide analogue 5 fluorouracil (5FU), drove the populations to extinction. Removal of 5FU immediately prior to extinction, resulted in a return to pre-treatment levels of fitness and genetic diversity, albeit with novel single nucleotide polymorphisms. These observations support the concept that DENV populations exist on fitness peaks determined by their transmission requirements and either an increase or a decrease in genetic diversity may result in a loss of fitness.
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28
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Poskin A, Martinelle L, Van der Stede Y, Saegerman C, Cay B, De Regge N. Genetically stable infectious Schmallenberg virus persists in foetal envelopes of pregnant ewes. J Gen Virol 2017; 98:1630-1635. [PMID: 28699878 DOI: 10.1099/jgv.0.000841] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
Schmallenberg virus (SBV) is a recently emerged vector-borne virus, inducing congenital defects in bovines, ovines and caprines. Here we have shown that infectious SBV is capable of persisting until the moment of birth in the foetal envelopes of ewes infected with SBV-infectious serum at day 45 (1/5 positive) and 60 (4/6 positive) of gestation. This persistence of at least 100 days is a new aspect of the SBV pathogenesis that could help to explain how SBV overwinters the cold season in temperate climate zones. Furthermore, sequencing of the M segment shows that the persisting virus in the foetal envelopes is genetically stable since only a few mutations compared to the inoculum were found. This supports the hypothesis that persisting virus could start the infection of new hosts. Finally, neutralization tests showed that infectious SBV present in the foetal envelopes at birth can be neutralized by the humoral immunity present in the infected ewes.
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Affiliation(s)
- Antoine Poskin
- CODA-CERVA, Operational Directorate Viral Diseases, Groeselenberg 99, 1180 Brussels, Belgium
| | - Ludovic Martinelle
- University of Liège, Research Unit of Epidemiology and Risk Analysis Applied to Veterinary Sciences (UREAR-ULg), Fundamental and Applied Research for Animals and Health (FARAH) Center, Avenue de Cureghem 7A, 4000 Liège, Belgium
| | | | - Claude Saegerman
- University of Liège, Research Unit of Epidemiology and Risk Analysis Applied to Veterinary Sciences (UREAR-ULg), Fundamental and Applied Research for Animals and Health (FARAH) Center, Avenue de Cureghem 7A, 4000 Liège, Belgium
| | - Brigitte Cay
- CODA-CERVA, Operational Directorate Viral Diseases, Groeselenberg 99, 1180 Brussels, Belgium
| | - Nick De Regge
- CODA-CERVA, Operational Directorate Viral Diseases, Groeselenberg 99, 1180 Brussels, Belgium
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29
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Genotype-Specific Evolution of Hepatitis E Virus. J Virol 2017; 91:JVI.02241-16. [PMID: 28202767 DOI: 10.1128/jvi.02241-16] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2016] [Accepted: 01/31/2017] [Indexed: 12/20/2022] Open
Abstract
Hepatitis E virus (HEV) is the most common cause of acute viral hepatitis globally. HEV comprises four genotypes with different geographic distributions and host ranges. We utilize this natural case-control study for investigating the evolution of zoonotic viruses compared to single-host viruses, using 244 near-full-length HEV genomes. Genome-wide estimates of the ratio of nonsynonymous to synonymous evolutionary changes (dN/dS ratio) located a region of overlapping reading frames, which is subject to positive selection in genotypes 3 and 4. The open reading frames (ORFs) involved have functions related to host-pathogen interaction, so genotype-specific evolution of these regions may reflect their fitness. Bayesian inference of evolutionary rates shows that genotypes 3 and 4 have significantly higher rates than genotype 1 across all ORFs. Reconstruction of the phylogenies of zoonotic genotypes demonstrates significant intermingling of isolates between hosts. We speculate that the genotype-specific differences may result from cyclical adaptation to different hosts in genotypes 3 and 4.IMPORTANCE Hepatitis E virus (HEV) is increasingly recognized as a pathogen that affects both the developing and the developed world. While most often clinically mild, HEV can be severe or fatal in certain demographics, such as expectant mothers. Like many other viral pathogens, HEV has been classified into several distinct genotypes. We show that most of the HEV genome is evolutionarily constrained. One locus of positive selection is unusual in that it encodes two distinct protein products. We are the first to detect positive selection in this overlap region. Genotype 1, which infects humans only, appears to be evolving differently from genotypes 3 and 4, which infect multiple species, possibly because genotypes 3 and 4 are unable to achieve the same fitness due to repeated host jumps.
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30
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Abstract
Whole-genome sequencing (WGS) of pathogens is becoming increasingly important not only for basic research but also for clinical science and practice. In virology, WGS is important for the development of novel treatments and vaccines, and for increasing the power of molecular epidemiology and evolutionary genomics. In this Opinion article, we suggest that WGS of viruses in a clinical setting will become increasingly important for patient care. We give an overview of different WGS methods that are used in virology and summarize their advantages and disadvantages. Although there are only partially addressed technical, financial and ethical issues in regard to the clinical application of viral WGS, this technique provides important insights into virus transmission, evolution and pathogenesis.
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Affiliation(s)
- Charlotte J. Houldcroft
- Department of Infection, UK; and the Division of Biological Anthropology, Immunity and Inflammation, Great Ormond Street Institute of Child Health, University College London, London WC1N 1EH, University of Cambridge, Cambridge CB2 3QG, UK.,
- and the Division of Biological Anthropology, University of Cambridge, Cambridge CB2 3QG, UK.,
| | - Mathew A. Beale
- Division of Infection and Immunity, University College London, London, WC1E 6BT UK
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, CB10 1SA Cambridge UK
| | - Judith Breuer
- Division of Infection and Immunity, University College London, London WC1E 6BT, UK; and at Great Ormond Street Hospital for Children NHS Foundation Trust, London WC1N 3JH, UK.,
- and at Great Ormond Street Hospital for Children NHS Foundation Trust, London WC1N 3JH, UK.,
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31
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Hedegaard DL, Tully DC, Rowe IA, Reynolds GM, Bean DJ, Hu K, Davis C, Wilhelm A, Ogilvie CB, Power KA, Tarr AW, Kelly D, Allen TM, Balfe P, McKeating JA. High resolution sequencing of hepatitis C virus reveals limited intra-hepatic compartmentalization in end-stage liver disease. J Hepatol 2017; 66:28-38. [PMID: 27531641 PMCID: PMC5558612 DOI: 10.1016/j.jhep.2016.07.048] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2016] [Revised: 07/22/2016] [Accepted: 07/29/2016] [Indexed: 02/06/2023]
Abstract
BACKGROUND & AIMS The high replication and mutation rate of hepatitis C virus (HCV) results in a heterogeneous population of viral sequences in vivo. HCV replicates in the liver and infected hepatocytes occur as foci surrounded by uninfected cells that may promote compartmentalization of viral variants. Given recent reports showing interferon stimulated gene (ISG) expression in chronic hepatitis C, we hypothesized that local interferon responses may limit HCV replication and evolution. METHODS To investigate the spatial influence of liver architecture on viral replication we measured HCV RNA and ISG mRNA from each of the 8 Couinaud segments of the liver from 21 patients undergoing liver transplant. RESULTS HCV RNA and ISG mRNA levels were comparable across all sites from an individual liver but showed up to 500-fold difference between patients. Importantly, there was no association between ISG and HCV RNA expression across all sites in the liver or plasma. Deep sequencing of HCV RNA isolated from the 8 hepatic sites from two subjects showed a similar distribution of viral quasispecies across the liver and uniform sequence diversity. Single genome amplification of HCV E1E2-envelope clones from 6 selected patients at 2 hepatic sites supported these data and showed no evidence for HCV compartmentalization. CONCLUSIONS We found no differences between the hepatic and plasma viral quasispecies in all patients sampled. We conclude that in end-stage liver disease HCV RNA levels and the genetic pool of HCV envelope sequences are indistinguishable between distant sites in the liver and plasma, arguing against viral compartmentalization. LAY SUMMARY HCV is an RNA virus that exists as a quasispecies of closely related genomes that are under continuous selection by host innate and adaptive immune responses and antiviral drug therapy. The primary site of HCV replication is the liver and yet our understanding of the spatial distribution of viral variants within the liver is limited. High resolution sequencing of HCV and monitoring of innate immune responses at multiple sites across the liver identified a uniform pattern of diversity and argues against viral compartmentalization.
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Affiliation(s)
| | | | - Ian A. Rowe
- Centre for Human Virology, University of Birmingham, Birmingham, UK
| | - Gary M. Reynolds
- NIHR Birmingham Liver Biomedical Research Unit, University of Birmingham, UK
| | - David J. Bean
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Ke Hu
- Centre for Human Virology, University of Birmingham, Birmingham, UK
| | | | - Annika Wilhelm
- NIHR Birmingham Liver Biomedical Research Unit, University of Birmingham, UK
| | | | - Karen A. Power
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Alexander W. Tarr
- School of Life Sciences, Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK
| | - Deirdre Kelly
- Liver Unit, Birmingham Childrens’ Hospital, Birmingham, UK
| | - Todd M. Allen
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Peter Balfe
- Centre for Human Virology, University of Birmingham, Birmingham, UK.
| | - Jane A. McKeating
- Centre for Human Virology, University of Birmingham, Birmingham, UK,NIHR Birmingham Liver Biomedical Research Unit, University of Birmingham, UK,Institute for Advanced Study, Technische Universität München, Lichtenbergstrasse 2a, D-85748 Garching, Germany
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32
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Evolutionary dynamics of dengue virus populations within the mosquito vector. Curr Opin Virol 2016; 21:47-53. [DOI: 10.1016/j.coviro.2016.07.013] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2016] [Revised: 07/23/2016] [Accepted: 07/27/2016] [Indexed: 02/05/2023]
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33
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Wang J, Chen H, Huang M, Zhang Y, Xie J, Yan Y, Zheng K, Weng Y. Epidemiological and etiological investigation of dengue fever in the Fujian province of China during 2004–2014. SCIENCE CHINA-LIFE SCIENCES 2016; 60:72-80. [DOI: 10.1007/s11427-016-0021-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2016] [Accepted: 04/14/2016] [Indexed: 10/20/2022]
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34
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Xia H, Beck AS, Gargili A, Forrester N, Barrett ADT, Bente DA. Transstadial Transmission and Long-term Association of Crimean-Congo Hemorrhagic Fever Virus in Ticks Shapes Genome Plasticity. Sci Rep 2016; 6:35819. [PMID: 27775001 PMCID: PMC5075774 DOI: 10.1038/srep35819] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2016] [Accepted: 10/04/2016] [Indexed: 02/05/2023] Open
Abstract
The trade-off hypothesis, the current paradigm of arbovirus evolution, proposes that cycling between vertebrate and invertebrate hosts presents significant constraints on genetic change of arboviruses. Studying these constraints in mosquito-borne viruses has led to a new understanding of epizootics. The trade-off hypothesis is assumed to be applicable to tick-borne viruses too, although studies are lacking. Tick-borne Crimean-Congo hemorrhagic fever virus (CCHFV), a member of the family Bunyaviridae, is a major cause of severe human disease worldwide and shows an extraordinary amount of genetic diversity compared to other arboviruses, which has been linked to increased virulence and emergence in new environments. Using a transmission model for CCHFV, utilizing the main vector tick species and mice plus next generation sequencing, we detected a substantial number of consensus-level mutations in CCHFV recovered from ticks after only a single transstadial transmission, whereas none were detected in CCHFV obtained from the mammalian host. Furthermore, greater viral intra-host diversity was detected in the tick compared to the vertebrate host. Long-term association of CCHFV with its tick host for 1 year demonstrated mutations in the viral genome become fixed over time. These findings suggest that the trade-off hypothesis may not be accurate for all arboviruses.
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Affiliation(s)
- Han Xia
- Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX, USA.,Galveston National Laboratory, Galveston TX, USA.,Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China
| | - Andrew S Beck
- Department of Pathology, and Sealy Center for Vaccine Development, University of Texas Medical Branch, Galveston, TX, USA
| | | | - Naomi Forrester
- Department of Pathology, and Sealy Center for Vaccine Development, University of Texas Medical Branch, Galveston, TX, USA
| | - Alan D T Barrett
- Department of Pathology, and Sealy Center for Vaccine Development, University of Texas Medical Branch, Galveston, TX, USA
| | - Dennis A Bente
- Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX, USA.,Galveston National Laboratory, Galveston TX, USA
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35
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Wang J, Dong H, Chionh YH, McBee ME, Sirirungruang S, Cunningham RP, Shi PY, Dedon PC. The role of sequence context, nucleotide pool balance and stress in 2'-deoxynucleotide misincorporation in viral, bacterial and mammalian RNA. Nucleic Acids Res 2016; 44:8962-8975. [PMID: 27365049 PMCID: PMC5062971 DOI: 10.1093/nar/gkw572] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2015] [Accepted: 06/06/2016] [Indexed: 11/16/2022] Open
Abstract
The misincorporation of 2′-deoxyribonucleotides (dNs) into RNA has important implications for the function of non-coding RNAs, the translational fidelity of coding RNAs and the mutagenic evolution of viral RNA genomes. However, quantitative appreciation for the degree to which dN misincorporation occurs is limited by the lack of analytical tools. Here, we report a method to hydrolyze RNA to release 2′-deoxyribonucleotide-ribonucleotide pairs (dNrN) that are then quantified by chromatography-coupled mass spectrometry (LC-MS). Using this platform, we found misincorporated dNs occurring at 1 per 103 to 105 ribonucleotide (nt) in mRNA, rRNAs and tRNA in human cells, Escherichia coli, Saccharomyces cerevisiae and, most abundantly, in the RNA genome of dengue virus. The frequency of dNs varied widely among organisms and sequence contexts, and partly reflected the in vitro discrimination efficiencies of different RNA polymerases against 2′-deoxyribonucleoside 5′-triphosphates (dNTPs). Further, we demonstrate a strong link between dN frequencies in RNA and the balance of dNTPs and ribonucleoside 5′-triphosphates (rNTPs) in the cellular pool, with significant stress-induced variation of dN incorporation. Potential implications of dNs in RNA are discussed, including the possibilities of dN incorporation in RNA as a contributing factor in viral evolution and human disease, and as a host immune defense mechanism against viral infections.
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Affiliation(s)
- Jin Wang
- Infectious Disease Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore 138602
| | - Hongping Dong
- Novartis Institute for Tropical Diseases, Singapore 138670
| | - Yok Hian Chionh
- Infectious Disease Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore 138602 Department of Microbiology & Immunology Programme, Center for Life Sciences, National University of Singapore, Singapore 117545
| | - Megan E McBee
- Infectious Disease Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore 138602
| | - Sasilada Sirirungruang
- Infectious Disease Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore 138602
| | - Richard P Cunningham
- Department of Biological Sciences, The University at Albany, Albany, NY 12222, USA
| | - Pei-Yong Shi
- Departments of Biochemistry & Molecular Biology and Phamarcology & Toxicology, and Sealy Center for Structural Biology & Molecular Biophysics, University of Texas Medical Branch, Galveston, TX 77555, USA
| | - Peter C Dedon
- Infectious Disease Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore 138602 Department of Biological Engineering & Center for Environmental Health Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139-4307, USA
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Cruz CD, Torre A, Troncos G, Lambrechts L, Leguia M. Targeted full-genome amplification and sequencing of dengue virus types 1-4 from South America. J Virol Methods 2016; 235:158-167. [PMID: 27334982 DOI: 10.1016/j.jviromet.2016.06.001] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2016] [Revised: 06/01/2016] [Accepted: 06/03/2016] [Indexed: 12/20/2022]
Abstract
We report optimized workflows for full-genome sequencing of dengue viruses (DENVs) 1-4. Based on alignments of publicly available complete genomes we modified and expanded existing primers sets to amplify DENV genotypes that were previously difficult or impossible to sequence. We also report improvements to streamline laboratory handling, including a dual amplification strategy for easy and difficult to sequence "high-copy" and "low-copy" templates, respectively, and normalization of PCR cycling conditions across serotypes. High-copy templates can be sequenced following amplification of as few as 5 overlapping segments covering the complete viral genome, whereas low-copy templates can be sequenced following amplification of no more than 10 overlapping segments of smaller size. These changes have been validated using a balanced set of wild-type DENV genomes (11 of DENV1, 14 of DENV2, 13 of DENV3 and 7 of DENV4) derived from human serum samples collected throughout South America over the past 15 years. The changes described enable generation of complete DENV genomes from wild-type samples without the need for viral enrichment via passaging through laboratory cell lines. This should facilitate quick and cost-effective generation of DENV full-genome sequences of the type needed for accurate epidemiological surveillance and thorough evolutionary studies of wild-type DENVs.
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Affiliation(s)
- Cristopher D Cruz
- U.S. Naval Medical Research Unit No. 6 (NAMRU-6), Av. Venezuela c36s/n, Bellavista, Callao 2, Peru.
| | - Armando Torre
- U.S. Naval Medical Research Unit No. 6 (NAMRU-6), Av. Venezuela c36s/n, Bellavista, Callao 2, Peru.
| | - Gilda Troncos
- U.S. Naval Medical Research Unit No. 6 (NAMRU-6), Av. Venezuela c36s/n, Bellavista, Callao 2, Peru.
| | - Louis Lambrechts
- Insect-Virus Interactions Group, Department of Genomes and Genetics, Institut Pasteur, Paris, France; Centre National de la Recherche Scientifique, Unité de Recherche Associée 3012, Paris, France.
| | - Mariana Leguia
- U.S. Naval Medical Research Unit No. 6 (NAMRU-6), Av. Venezuela c36s/n, Bellavista, Callao 2, Peru.
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Lequime S, Fontaine A, Ar Gouilh M, Moltini-Conclois I, Lambrechts L. Genetic Drift, Purifying Selection and Vector Genotype Shape Dengue Virus Intra-host Genetic Diversity in Mosquitoes. PLoS Genet 2016; 12:e1006111. [PMID: 27304978 PMCID: PMC4909269 DOI: 10.1371/journal.pgen.1006111] [Citation(s) in RCA: 97] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2016] [Accepted: 05/17/2016] [Indexed: 01/15/2023] Open
Abstract
Due to their error-prone replication, RNA viruses typically exist as a diverse population of closely related genomes, which is considered critical for their fitness and adaptive potential. Intra-host demographic fluctuations that stochastically reduce the effective size of viral populations are a challenge to maintaining genetic diversity during systemic host infection. Arthropod-borne viruses (arboviruses) traverse several anatomical barriers during infection of their arthropod vectors that are believed to impose population bottlenecks. These anatomical barriers have been associated with both maintenance of arboviral genetic diversity and alteration of the variant repertoire. Whether these patterns result from stochastic sampling (genetic drift) rather than natural selection, and/or from the influence of vector genetic heterogeneity has not been elucidated. Here, we used deep sequencing of full-length viral genomes to monitor the intra-host evolution of a wild-type dengue virus isolate during infection of several mosquito genetic backgrounds. We estimated a bottleneck size ranging from 5 to 42 founding viral genomes at initial midgut infection, irrespective of mosquito genotype, resulting in stochastic reshuffling of the variant repertoire. The observed level of genetic diversity increased following initial midgut infection but significantly differed between mosquito genetic backgrounds despite a similar initial bottleneck size. Natural selection was predominantly negative (purifying) during viral population expansion. Taken together, our results indicate that dengue virus intra-host genetic diversity in the mosquito vector is shaped by genetic drift and purifying selection, and point to a novel role for vector genetic factors in the genetic breadth of virus populations during infection. Identifying the evolutionary forces acting on arboviral populations within their arthropod vector provides novel insights into arbovirus evolution. During infection of their arthropod vectors, arthropod-borne viruses (arboviruses) such as dengue viruses traverse several anatomical barriers that are believed to cause dramatic reductions in population size. Such population bottlenecks challenge the maintenance of viral genetic diversity, which is considered critical for fitness and adaptability of arboviruses. Anatomical barriers in the vector were previously associated with both maintenance of arboviral genetic diversity and alteration of the variant repertoire. However, the relative role of random processes and natural selection, and the influence of vector genetic heterogeneity have not been elucidated. In this study, we used high-throughput sequencing to monitor dengue virus genetic diversity during infection of several genetic backgrounds of their mosquito vector. Our results show that initial infection of the vector is randomly founded by only a few tens of individual virus genomes. The overall level of viral genetic diversity generated during infection was predominantly under purifying selection but differed significantly between mosquito genetic backgrounds. Thus, in addition to random evolutionary forces and the purging of deleterious mutations that shape dengue virus genetic diversity during vector infection, our results also point to a novel role for vector genetic factors in the genetic breadth of virus populations.
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Affiliation(s)
- Sebastian Lequime
- Insect-Virus Interactions Group, Department of Genomes and Genetics, Institut Pasteur, Paris, France
- Centre National de la Recherche Scientifique, Unité de Recherche Associée 3012, Paris, France
- Université Pierre et Marie Curie, Cellule Pasteur UPMC, Paris, France
- * E-mail: (SL); (LL)
| | - Albin Fontaine
- Insect-Virus Interactions Group, Department of Genomes and Genetics, Institut Pasteur, Paris, France
- Centre National de la Recherche Scientifique, Unité de Recherche Associée 3012, Paris, France
- Equipe Résidente de Recherche d’Infectiologie Tropicale, Division Expertise, Institut de Recherche Biomédicale des Armées, Brétigny-sur-Orge, France
| | - Meriadeg Ar Gouilh
- Unité Environnement et Risques Infectieux, Cellule d’Intervention Biologique d’Urgence, Department of Infection and Epidemiology, Institut Pasteur, Paris, France
- EA4655, Unité Risques Microbiens U2RM, Université de Caen Normandie, Caen, France
| | - Isabelle Moltini-Conclois
- Insect-Virus Interactions Group, Department of Genomes and Genetics, Institut Pasteur, Paris, France
- Centre National de la Recherche Scientifique, Unité de Recherche Associée 3012, Paris, France
| | - Louis Lambrechts
- Insect-Virus Interactions Group, Department of Genomes and Genetics, Institut Pasteur, Paris, France
- Centre National de la Recherche Scientifique, Unité de Recherche Associée 3012, Paris, France
- * E-mail: (SL); (LL)
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38
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Andersen KG, Shapiro BJ, Matranga CB, Sealfon R, Lin AE, Moses LM, Folarin OA, Goba A, Odia I, Ehiane PE, Momoh M, England EM, Winnicki S, Branco LM, Gire SK, Phelan E, Tariyal R, Tewhey R, Omoniwa O, Fullah M, Fonnie R, Fonnie M, Kanneh L, Jalloh S, Gbakie M, Saffa S, Karbo K, Gladden AD, Qu J, Stremlau M, Nekoui M, Finucane HK, Tabrizi S, Vitti JJ, Birren B, Fitzgerald M, McCowan C, Ireland A, Berlin AM, Bochicchio J, Tazon-Vega B, Lennon NJ, Ryan EM, Bjornson Z, Milner DA, Lukens AK, Broodie N, Rowland M, Heinrich M, Akdag M, Schieffelin JS, Levy D, Akpan H, Bausch DG, Rubins K, McCormick JB, Lander ES, Günther S, Hensley L, Okogbenin S, Schaffner SF, Okokhere PO, Khan SH, Grant DS, Akpede GO, Asogun DA, Gnirke A, Levin JZ, Happi CT, Garry RF, Sabeti PC. Clinical Sequencing Uncovers Origins and Evolution of Lassa Virus. Cell 2016; 162:738-50. [PMID: 26276630 DOI: 10.1016/j.cell.2015.07.020] [Citation(s) in RCA: 190] [Impact Index Per Article: 23.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2015] [Revised: 04/26/2015] [Accepted: 06/12/2015] [Indexed: 12/25/2022]
Abstract
The 2013-2015 West African epidemic of Ebola virus disease (EVD) reminds us of how little is known about biosafety level 4 viruses. Like Ebola virus, Lassa virus (LASV) can cause hemorrhagic fever with high case fatality rates. We generated a genomic catalog of almost 200 LASV sequences from clinical and rodent reservoir samples. We show that whereas the 2013-2015 EVD epidemic is fueled by human-to-human transmissions, LASV infections mainly result from reservoir-to-human infections. We elucidated the spread of LASV across West Africa and show that this migration was accompanied by changes in LASV genome abundance, fatality rates, codon adaptation, and translational efficiency. By investigating intrahost evolution, we found that mutations accumulate in epitopes of viral surface proteins, suggesting selection for immune escape. This catalog will serve as a foundation for the development of vaccines and diagnostics. VIDEO ABSTRACT.
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Affiliation(s)
- Kristian G Andersen
- FAS Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Broad Institute, Cambridge, MA 02142, USA; The Scripps Research Institute, Scripps Translational Science Institute, La Jolla, CA 92037, USA.
| | - B Jesse Shapiro
- FAS Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Broad Institute, Cambridge, MA 02142, USA; Department of Biological Sciences, University of Montréal, Montréal, QC H2V 2S9, Canada
| | | | - Rachel Sealfon
- Broad Institute, Cambridge, MA 02142, USA; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Aaron E Lin
- FAS Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Broad Institute, Cambridge, MA 02142, USA
| | - Lina M Moses
- Tulane Health Sciences Center, Tulane University, New Orleans, LA 70118, USA
| | - Onikepe A Folarin
- Institute of Lassa Fever Research and Control, Irrua Specialist Teaching Hospital, Irrua, Edo State, Nigeria; Department of Biological Sciences, College of Natural Sciences, Redeemer's University, Redemption City, Osun State, Nigeria
| | - Augustine Goba
- Lassa Fever Laboratory, Kenema Government Hospital, Kenema, Eastern Province, Sierra Leone
| | - Ikponmwonsa Odia
- Institute of Lassa Fever Research and Control, Irrua Specialist Teaching Hospital, Irrua, Edo State, Nigeria
| | - Philomena E Ehiane
- Institute of Lassa Fever Research and Control, Irrua Specialist Teaching Hospital, Irrua, Edo State, Nigeria
| | - Mambu Momoh
- Lassa Fever Laboratory, Kenema Government Hospital, Kenema, Eastern Province, Sierra Leone; Eastern Polytechnic College, Kenema, Eastern Province, Sierra Leone
| | | | - Sarah Winnicki
- FAS Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Broad Institute, Cambridge, MA 02142, USA
| | | | - Stephen K Gire
- FAS Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Broad Institute, Cambridge, MA 02142, USA
| | | | | | - Ryan Tewhey
- FAS Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Broad Institute, Cambridge, MA 02142, USA
| | - Omowunmi Omoniwa
- Institute of Lassa Fever Research and Control, Irrua Specialist Teaching Hospital, Irrua, Edo State, Nigeria
| | - Mohammed Fullah
- Lassa Fever Laboratory, Kenema Government Hospital, Kenema, Eastern Province, Sierra Leone; Eastern Polytechnic College, Kenema, Eastern Province, Sierra Leone
| | - Richard Fonnie
- Lassa Fever Laboratory, Kenema Government Hospital, Kenema, Eastern Province, Sierra Leone
| | - Mbalu Fonnie
- Lassa Fever Laboratory, Kenema Government Hospital, Kenema, Eastern Province, Sierra Leone
| | - Lansana Kanneh
- Lassa Fever Laboratory, Kenema Government Hospital, Kenema, Eastern Province, Sierra Leone
| | - Simbirie Jalloh
- Lassa Fever Laboratory, Kenema Government Hospital, Kenema, Eastern Province, Sierra Leone
| | - Michael Gbakie
- Lassa Fever Laboratory, Kenema Government Hospital, Kenema, Eastern Province, Sierra Leone
| | - Sidiki Saffa
- Lassa Fever Laboratory, Kenema Government Hospital, Kenema, Eastern Province, Sierra Leone
| | - Kandeh Karbo
- Lassa Fever Laboratory, Kenema Government Hospital, Kenema, Eastern Province, Sierra Leone
| | | | - James Qu
- Broad Institute, Cambridge, MA 02142, USA
| | - Matthew Stremlau
- FAS Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Broad Institute, Cambridge, MA 02142, USA
| | - Mahan Nekoui
- FAS Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Broad Institute, Cambridge, MA 02142, USA
| | | | - Shervin Tabrizi
- FAS Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Broad Institute, Cambridge, MA 02142, USA
| | - Joseph J Vitti
- FAS Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | | | | | | | | | | | | | | | | | | | - Zach Bjornson
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94304, USA
| | - Danny A Milner
- Department of Immunology and Infectious Disease, Harvard School of Public Health, Boston, MA 02115, USA
| | - Amanda K Lukens
- Department of Immunology and Infectious Disease, Harvard School of Public Health, Boston, MA 02115, USA
| | - Nisha Broodie
- College of Medicine, Columbia University, New York, NY 10032, USA
| | | | | | | | - John S Schieffelin
- Tulane Health Sciences Center, Tulane University, New Orleans, LA 70118, USA
| | - Danielle Levy
- Tulane Health Sciences Center, Tulane University, New Orleans, LA 70118, USA
| | - Henry Akpan
- Nigerian Federal Ministry of Health, Abuja, Federal Capital Territory, Nigeria
| | - Daniel G Bausch
- Tulane Health Sciences Center, Tulane University, New Orleans, LA 70118, USA
| | - Kathleen Rubins
- The National Aeronautics and Space Administration, Johnson Space Center, Houston, TX 77058, USA
| | - Joseph B McCormick
- The University of Texas School of Public Health, Brownsville, TX 77030, USA
| | | | - Stephan Günther
- Department of Virology, Bernhard-Nocht-Institute for Tropical Medicine, 20259 Hamburg, Germany
| | - Lisa Hensley
- NIAID Integrated Research Facility, Frederick, MD 21702, USA
| | - Sylvanus Okogbenin
- Institute of Lassa Fever Research and Control, Irrua Specialist Teaching Hospital, Irrua, Edo State, Nigeria
| | | | | | - Peter O Okokhere
- Institute of Lassa Fever Research and Control, Irrua Specialist Teaching Hospital, Irrua, Edo State, Nigeria
| | - S Humarr Khan
- Lassa Fever Laboratory, Kenema Government Hospital, Kenema, Eastern Province, Sierra Leone
| | - Donald S Grant
- Lassa Fever Laboratory, Kenema Government Hospital, Kenema, Eastern Province, Sierra Leone
| | - George O Akpede
- Institute of Lassa Fever Research and Control, Irrua Specialist Teaching Hospital, Irrua, Edo State, Nigeria
| | - Danny A Asogun
- Institute of Lassa Fever Research and Control, Irrua Specialist Teaching Hospital, Irrua, Edo State, Nigeria
| | | | | | - Christian T Happi
- Institute of Lassa Fever Research and Control, Irrua Specialist Teaching Hospital, Irrua, Edo State, Nigeria; Department of Biological Sciences, College of Natural Sciences, Redeemer's University, Redemption City, Osun State, Nigeria.
| | - Robert F Garry
- Tulane Health Sciences Center, Tulane University, New Orleans, LA 70118, USA
| | - Pardis C Sabeti
- FAS Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Broad Institute, Cambridge, MA 02142, USA; Department of Immunology and Infectious Disease, Harvard School of Public Health, Boston, MA 02115, USA.
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Increasing Clinical Severity during a Dengue Virus Type 3 Cuban Epidemic: Deep Sequencing of Evolving Viral Populations. J Virol 2016; 90:4320-4333. [PMID: 26889031 PMCID: PMC4836355 DOI: 10.1128/jvi.02647-15] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2015] [Accepted: 02/05/2016] [Indexed: 01/20/2023] Open
Abstract
UNLABELLED During the dengue virus type 3 (DENV-3) epidemic that occurred in Havana in 2001 to 2002, severe disease was associated with the infection sequence DENV-1 followed by DENV-3 (DENV-1/DENV-3), while the sequence DENV-2/DENV-3 was associated with mild/asymptomatic infections. To determine the role of the virus in the increasing severity demonstrated during the epidemic, serum samples collected at different time points were studied. A total of 22 full-length sequences were obtained using a deep-sequencing approach. Bayesian phylogenetic analysis of consensus sequences revealed that two DENV-3 lineages were circulating in Havana at that time, both grouped within genotype III. The predominant lineage is closely related to Peruvian and Ecuadorian strains, while the minor lineage is related to Venezuelan strains. According to consensus sequences, relatively few nonsynonymous mutations were observed; only one was fixed during the epidemic at position 4380 in the NS2B gene. Intrahost genetic analysis indicated that a significant minor population was selected and became predominant toward the end of the epidemic. In conclusion, greater variability was detected during the epidemic's progression in terms of significant minority variants, particularly in the nonstructural genes. An increasing trend of genetic diversity toward the end of the epidemic was observed only for synonymous variant allele rates, with higher variability in secondary cases. Remarkably, significant intrahost genetic variation was demonstrated within the same patient during the course of secondary infection with DENV-1/DENV-3, including changes in the structural proteins premembrane (PrM) and envelope (E). Therefore, the dynamic of evolving viral populations in the context of heterotypic antibodies could be related to the increasing clinical severity observed during the epidemic. IMPORTANCE Based on the evidence that DENV fitness is context dependent, our research has focused on the study of viral factors associated with intraepidemic increasing severity in a unique epidemiological setting. Here, we investigated the intrahost genetic diversity in acute human samples collected at different time points during the DENV-3 epidemic that occurred in Cuba in 2001 to 2002 using a deep-sequencing approach. We concluded that greater variability in significant minor populations occurred as the epidemic progressed, particularly in the nonstructural genes, with higher variability observed in secondary infection cases. Remarkably, for the first time significant intrahost genetic variation was demonstrated within the same patient during the course of secondary infection with DENV-1/DENV-3, including changes in structural proteins. These findings indicate that high-resolution approaches are needed to unravel molecular mechanisms involved in dengue pathogenesis.
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40
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Hapuarachchi HC, Koo C, Kek R, Xu H, Lai YL, Liu L, Kok SY, Shi Y, Chuen RLT, Lee KS, Maurer-Stroh S, Ng LC. Intra-epidemic evolutionary dynamics of a Dengue virus type 1 population reveal mutant spectra that correlate with disease transmission. Sci Rep 2016; 6:22592. [PMID: 26940650 PMCID: PMC4778070 DOI: 10.1038/srep22592] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2015] [Accepted: 02/17/2016] [Indexed: 12/26/2022] Open
Abstract
Dengue virus (DENV) is currently the most prevalent mosquito-borne viral pathogen. DENVs naturally exist as highly heterogeneous populations. Even though the descriptions on DENV diversity are plentiful, only a few studies have narrated the dynamics of intra-epidemic virus diversity at a fine scale. Such accounts are important to decipher the reciprocal relationship between viral evolutionary dynamics and disease transmission that shape dengue epidemiology. In the current study, we present a micro-scale genetic analysis of a monophyletic lineage of DENV-1 genotype III (epidemic lineage) detected from November 2012 to May 2014. The lineage was involved in an unprecedented dengue epidemic in Singapore during 2013–2014. Our findings showed that the epidemic lineage was an ensemble of mutants (variants) originated from an initial mixed viral population. The composition of mutant spectrum was dynamic and positively correlated with case load. The close interaction between viral evolution and transmission intensity indicated that tracking genetic diversity through time is potentially a useful tool to infer DENV transmission dynamics and thereby, to assess the epidemic risk in a disease control perspective. Moreover, such information is salient to understand the viral basis of clinical outcome and immune response variations that is imperative to effective vaccine design.
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Affiliation(s)
| | - Carmen Koo
- Environmental Health Institute, National Environment Agency, 11, Biopolis Way, #06-05-08, Singapore 138667
| | - Relus Kek
- Environmental Health Institute, National Environment Agency, 11, Biopolis Way, #06-05-08, Singapore 138667
| | - Helen Xu
- Environmental Health Institute, National Environment Agency, 11, Biopolis Way, #06-05-08, Singapore 138667
| | - Yee Ling Lai
- Environmental Health Institute, National Environment Agency, 11, Biopolis Way, #06-05-08, Singapore 138667
| | - Lilac Liu
- Environmental Health Institute, National Environment Agency, 11, Biopolis Way, #06-05-08, Singapore 138667
| | - Suet Yheng Kok
- Environmental Health Institute, National Environment Agency, 11, Biopolis Way, #06-05-08, Singapore 138667
| | - Yuan Shi
- Environmental Health Institute, National Environment Agency, 11, Biopolis Way, #06-05-08, Singapore 138667
| | - Raphael Lee Tze Chuen
- Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), 30 Biopolis Street #07-01, Matrix Building, Singapore 138671
| | - Kim-Sung Lee
- School of Life Sciences and Chemical Technology, Ngee Ann Polytechnic, Block 83, #04-00, 535 Clementi Road, Singapore 599489
| | - Sebastian Maurer-Stroh
- Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), 30 Biopolis Street #07-01, Matrix Building, Singapore 138671.,School of Biological Sciences (SBS), Nanyang Technological University (NTU), 60 Nanyang Drive, Singapore 637551.,National Public Health Laboratory (NPHL), Ministry of Health (MOH), 3 Biopolis Drive, #05-14 to 16, Synapse, Singapore 138623
| | - Lee Ching Ng
- Environmental Health Institute, National Environment Agency, 11, Biopolis Way, #06-05-08, Singapore 138667.,School of Biological Sciences (SBS), Nanyang Technological University (NTU), 60 Nanyang Drive, Singapore 637551
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41
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Sim S, Hibberd ML. Genomic approaches for understanding dengue: insights from the virus, vector, and host. Genome Biol 2016; 17:38. [PMID: 26931545 PMCID: PMC4774013 DOI: 10.1186/s13059-016-0907-2] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
The incidence and geographic range of dengue have increased dramatically in recent decades. Climate change, rapid urbanization and increased global travel have facilitated the spread of both efficient mosquito vectors and the four dengue virus serotypes between population centers. At the same time, significant advances in genomics approaches have provided insights into host–pathogen interactions, immunogenetics, and viral evolution in both humans and mosquitoes. Here, we review these advances and the innovative treatment and control strategies that they are inspiring.
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Affiliation(s)
- Shuzhen Sim
- Infectious Diseases, Genome Institute of Singapore, Singapore, 138672, Singapore
| | - Martin L Hibberd
- Infectious Diseases, Genome Institute of Singapore, Singapore, 138672, Singapore. .,Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
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42
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Choudhury MA, Lott WB, Banu S, Cheng AY, Teo YY, Ong RTH, Aaskov J. Nature and Extent of Genetic Diversity of Dengue Viruses Determined by 454 Pyrosequencing. PLoS One 2015; 10:e0142473. [PMID: 26566128 PMCID: PMC4643897 DOI: 10.1371/journal.pone.0142473] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2013] [Accepted: 10/22/2015] [Indexed: 12/23/2022] Open
Abstract
Dengue virus (DENV) populations are characteristically highly diverse. Regular lineage extinction and replacement is an important dynamic DENV feature, and most DENV lineage turnover events are associated with increased incidence of disease. The role of genetic diversity in DENV lineage extinctions is not understood. We investigated the nature and extent of genetic diversity in the envelope (E) gene of DENV serotype 1 representing different lineages histories. A region of the DENV genome spanning the E gene was amplified and sequenced by Roche/454 pyrosequencing. The pyrosequencing results identified distinct sub-populations (haplotypes) for each DENV-1 E gene. A phylogenetic tree was constructed with the consensus DENV-1 E gene nucleotide sequences, and the sequences of each constructed haplotype showed that the haplotypes segregated with the Sanger consensus sequence of the population from which they were drawn. Haplotypes determined through pyrosequencing identified a recombinant DENV genome that could not be identified through Sanger sequencing. Nucleotide level sequence diversities of DENV-1 populations determined from SNP analysis were very low, estimated from 0.009–0.01. There were also no stop codon, frameshift or non-frameshift mutations observed in the E genes of any lineage. No significant correlations between the accumulation of deleterious mutations or increasing genetic diversity and lineage extinction were observed (p>0.5). Although our hypothesis that accumulation of deleterious mutations over time led to the extinction and replacement of DENV lineages was ultimately not supported by the data, our data does highlight the significant technical issues that must be resolved in the way in which population diversity is measured for DENV and other viruses. The results provide an insight into the within-population genetic structure and diversity of DENV-1 populations.
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Affiliation(s)
- Md Abu Choudhury
- Menzies Health Institute Queensland, Griffith University, Brisbane, Australia
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia
- * E-mail:
| | - William B Lott
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia
- School of Chemistry, Physics, and Mechanical Engineering, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Australia
| | - Shahera Banu
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia
| | - Anthony Youzhi Cheng
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Yik-Ying Teo
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Department of Statistics and Applied Probability, National University of Singapore, Singapore, Singapore
- Life Sciences Institute, National University of Singapore, Singapore, Singapore
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
| | - Rick Twee-Hee Ong
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - John Aaskov
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia
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43
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Neglected Tropical Diseases in the Post-Genomic Era. Trends Genet 2015; 31:539-555. [DOI: 10.1016/j.tig.2015.06.002] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2015] [Revised: 06/01/2015] [Accepted: 06/03/2015] [Indexed: 01/22/2023]
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Sim S, Aw PPK, Wilm A, Teoh G, Hue KDT, Nguyen NM, Nagarajan N, Simmons CP, Hibberd ML. Tracking Dengue Virus Intra-host Genetic Diversity during Human-to-Mosquito Transmission. PLoS Negl Trop Dis 2015; 9:e0004052. [PMID: 26325059 PMCID: PMC4556672 DOI: 10.1371/journal.pntd.0004052] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2015] [Accepted: 08/12/2015] [Indexed: 12/26/2022] Open
Abstract
Dengue virus (DENV) infection of an individual human or mosquito host produces a dynamic population of closely-related sequences. This intra-host genetic diversity is thought to offer an advantage for arboviruses to adapt as they cycle between two very different host species, but it remains poorly characterized. To track changes in viral intra-host genetic diversity during horizontal transmission, we infected Aedes aegypti mosquitoes by allowing them to feed on DENV2-infected patients. We then performed whole-genome deep-sequencing of human- and matched mosquito-derived DENV samples on the Illumina platform and used a sensitive variant-caller to detect single nucleotide variants (SNVs) within each sample. >90% of SNVs were lost upon transition from human to mosquito, as well as from mosquito abdomen to salivary glands. Levels of viral diversity were maintained, however, by the regeneration of new SNVs at each stage of transmission. We further show that SNVs maintained across transmission stages were transmitted as a unit of two at maximum, suggesting the presence of numerous variant genomes carrying only one or two SNVs each. We also present evidence for differences in selection pressures between human and mosquito hosts, particularly on the structural and NS1 genes. This analysis provides insights into how population drops during transmission shape RNA virus genetic diversity, has direct implications for virus evolution, and illustrates the value of high-coverage, whole-genome next-generation sequencing for understanding viral intra-host genetic diversity.
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Affiliation(s)
- Shuzhen Sim
- Infectious Diseases, Genome Institute of Singapore, Singapore, Singapore
| | - Pauline P. K. Aw
- Infectious Diseases, Genome Institute of Singapore, Singapore, Singapore
| | - Andreas Wilm
- Infectious Diseases, Genome Institute of Singapore, Singapore, Singapore
| | - Garrett Teoh
- Infectious Diseases, Genome Institute of Singapore, Singapore, Singapore
| | - Kien Duong Thi Hue
- Oxford University Clinical Research Unit, Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam
| | - Nguyet Minh Nguyen
- Oxford University Clinical Research Unit, Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam
| | - Niranjan Nagarajan
- Infectious Diseases, Genome Institute of Singapore, Singapore, Singapore
| | - Cameron P. Simmons
- Oxford University Clinical Research Unit, Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam
- Centre for Tropical Medicine, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
- Department of Microbiology and Immunology, University of Melbourne, Carlton, Victoria, Australia
| | - Martin L. Hibberd
- Infectious Diseases, Genome Institute of Singapore, Singapore, Singapore
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45
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Grubaugh ND, Smith DR, Brackney DE, Bosco-Lauth AM, Fauver JR, Campbell CL, Felix TA, Romo H, Duggal NK, Dietrich EA, Eike T, Beane JE, Bowen RA, Black WC, Brault AC, Ebel GD. Experimental evolution of an RNA virus in wild birds: evidence for host-dependent impacts on population structure and competitive fitness. PLoS Pathog 2015; 11:e1004874. [PMID: 25993022 PMCID: PMC4439088 DOI: 10.1371/journal.ppat.1004874] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2015] [Accepted: 04/12/2015] [Indexed: 01/13/2023] Open
Abstract
Within hosts, RNA viruses form populations that are genetically and phenotypically complex. Heterogeneity in RNA virus genomes arises due to error-prone replication and is reduced by stochastic and selective mechanisms that are incompletely understood. Defining how natural selection shapes RNA virus populations is critical because it can inform treatment paradigms and enhance control efforts. We allowed West Nile virus (WNV) to replicate in wild-caught American crows, house sparrows and American robins to assess how natural selection shapes RNA virus populations in ecologically relevant hosts that differ in susceptibility to virus-induced mortality. After five sequential passages in each bird species, we examined the phenotype and population diversity of WNV through fitness competition assays and next generation sequencing. We demonstrate that fitness gains occur in a species-specific manner, with the greatest replicative fitness gains in robin-passaged WNV and the least in WNV passaged in crows. Sequencing data revealed that intrahost WNV populations were strongly influenced by purifying selection and the overall complexity of the viral populations was similar among passaged hosts. However, the selective pressures that control WNV populations seem to be bird species-dependent. Specifically, crow-passaged WNV populations contained the most unique mutations (~1.7× more than sparrows, ~3.4× more than robins) and defective genomes (~1.4× greater than sparrows, ~2.7× greater than robins), but the lowest average mutation frequency (about equal to sparrows, ~2.6× lower than robins). Therefore, our data suggest that WNV replication in the most disease-susceptible bird species is positively associated with virus mutational tolerance, likely via complementation, and negatively associated with the strength of selection. These differences in genetic composition most likely have distinct phenotypic consequences for the virus populations. Taken together, these results reveal important insights into how different hosts may contribute to the emergence of RNA viruses.
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Affiliation(s)
- Nathan D. Grubaugh
- Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, Colorado, United States of America
| | - Darci R. Smith
- Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, Colorado, United States of America
| | - Doug E. Brackney
- Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, Colorado, United States of America
| | - Angela M. Bosco-Lauth
- Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, Colorado, United States of America
| | - Joseph R. Fauver
- Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, Colorado, United States of America
| | - Corey L. Campbell
- Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, Colorado, United States of America
| | - Todd A. Felix
- United States Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, Lakewood, Colorado, United States of America
| | - Hannah Romo
- Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, Colorado, United States of America
- Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, Fort Collins, Colorado, United States of America
| | - Nisha K. Duggal
- Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, Fort Collins, Colorado, United States of America
| | - Elizabeth A. Dietrich
- Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, Fort Collins, Colorado, United States of America
| | - Tyler Eike
- Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, Colorado, United States of America
| | - Jennifer E. Beane
- Section for Computational Biomedicine, Boston University School of Medicine, Boston, Massachusetts, United States of America
| | - Richard A. Bowen
- Department of Biomedical Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, Colorado, United States of America
| | - William C. Black
- Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, Colorado, United States of America
| | - Aaron C. Brault
- Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, Fort Collins, Colorado, United States of America
| | - Gregory D. Ebel
- Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, Colorado, United States of America
- * E-mail:
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46
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Sarkar A, Datta S, Pathak BK, Mukhopadhyay SK, Chatterjee S. Japanese encephalitis associated acute encephalitis syndrome cases in West Bengal, India: A sero-molecular evaluation in relation to clinico-pathological spectrum. J Med Virol 2015; 87:1258-67. [PMID: 25939919 DOI: 10.1002/jmv.24165] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/20/2015] [Indexed: 11/07/2022]
Abstract
Japanese encephalitis (JE) is a major public health problem in Asia and worldwide and it is responsible mainly for viral acute encephalitis syndrome (AES). The sole etiologic agent of JE is Japanese encephalitis virus (JEV). Although JE/AES cases have been regarded traditionally as a disease of children, a growing number of patients with JE/AES cases are also seen in the adult age group every year in the state of West Bengal, India in spite of vaccination. Therefore, a systematic study was performed to differentiate and characterize the clinico-pathological parameters and viral diversity among the patients of different age groups. Viral diversity was also evaluated from the JE/AES cases, depending on their disease severity. A total of 441 JE/AES cases were included in this study. By MAC-ELISA, 111 samples were found JEV IgM positive and among the IgM negative cases, 26 samples were found RT-PCR positive against JEV infection. Neck rigidity, abnormal behavior, convulsion, protein in CSF, WBC in CSF, and aspartate transaminase in blood differed significantly among the patients of pediatric-adolescent and adult group in both IgM positive and RT-PCR positive cases. Viral diversity was increased significantly in the pediatric-adolescent group compared to adult patients. Interestingly, with the rise in disease severity the viral diversity was found to be increased among the patients, irrespective of their age distribution. Based on clinico-pathological parameters and analysis of viral diversity, it can be concluded that viral diversity which occurs naturally is likely to affect disease severity, especially in the patients of pediatric-adolescent group.
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Affiliation(s)
- Arindam Sarkar
- ICMR Virus, ID & BG Hospital, Kolkata, West Bengal, India
| | | | - Bani K Pathak
- Department of Biotechnology, St. Xavier's College, Kolkata, West Bengal, India
| | - Subhra K Mukhopadhyay
- Department of Microbiology, The University of Burdwan, Golapbag, Burdwan, West Bengal, India
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47
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Bruno L, Cortese M, Rappuoli R, Merola M. Lessons from Reverse Vaccinology for viral vaccine design. Curr Opin Virol 2015; 11:89-97. [PMID: 25829256 DOI: 10.1016/j.coviro.2015.03.001] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2014] [Revised: 02/02/2015] [Accepted: 03/03/2015] [Indexed: 12/17/2022]
Abstract
Although almost 15 years have passed since the birthdate of Reverse Vaccinology (RV), there are very limited applications of this approach to viral vaccines discovery. Undeniably, RV presents a series of advantages as it can virtually identify all potential antigens coded by a genome, irrespective of their abundance, phase of expression and immunogenicity. Additionally, it can be applied to all pathogens, including those that cannot be grown in vitro. In this review we summarize the few examples of RV application to viruses, in particular the Herpesviridae, and report the advantage and limitations of this approach. Next we focus on the novel approaches and additional technologies to vaccine development including structure based approach (Structural Vaccinology [SV]), synthetic biology and some examples of their application in the development of viral vaccines.
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Affiliation(s)
| | - Mirko Cortese
- Department of Infectious Diseases, Molecular Virology, Heidelberg University, Germany
| | | | - Marcello Merola
- Novartis Vaccines, Siena, Italy; Department of Biology, University of Naples 'Federico II', Naples, Italy
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48
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Hapuarachchi HC, Chua RCR, Shi Y, Thein TL, Lee LK, Lee KS, Lye DC, Ng LC, Leo YS. Clinical outcome and genetic differences within a monophyletic Dengue virus type 2 population. PLoS One 2015; 10:e0121696. [PMID: 25811657 PMCID: PMC4374945 DOI: 10.1371/journal.pone.0121696] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2014] [Accepted: 02/03/2015] [Indexed: 12/28/2022] Open
Abstract
The exact mechanisms of interplay between host and viral factors leading to severe dengue are yet to be fully understood. Even though previous studies have implicated specific genetic differences of Dengue virus (DENV) in clinical severity and virus attenuation, similar studies with large-scale, whole genome screening of monophyletic virus populations are limited. Therefore, in the present study, we compared 89 whole genomes of DENV-2 cosmopolitan clade III isolates obtained from patients diagnosed with dengue fever (DF, n = 58), dengue hemorrhagic fever (DHF, n = 30) and dengue shock syndrome (DSS, n = 1) in Singapore between July 2010 and January 2013, in order to determine the correlation of observed viral genetic differences with clinical outcomes. Our findings showed no significant difference between the number of primary and secondary infections that progressed to DHF and DSS (p>0.05) in our study cohort. Despite being highly homogenous, study isolates possessed 39 amino acid substitutions of which 10 substitutions were fixed in three main groups of virus isolates. None of those substitutions were specifically associated with DHF and DSS. Notably, two evolutionarily unique virus groups possessing C-P43T+NS1-S103T+NS2A-V83I+NS3-R337K+ NS3-I600T+ NS5-P136S and NS2A-T119N mutations were exclusively found in patients with DF, the benign form of DENV infections. Those mutants were significantly associated with mild disease outcome. These observations indicated that disease progression into DHF and DSS within our patient population was more likely to be due to host than virus factors. We hypothesize that selection for potentially less virulent groups of DENV-2 in our study cohort may be an evolutionary adaptation of viral strains to extend their survival in the human-mosquito transmission cycle.
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Affiliation(s)
| | - Rachel Choon Rong Chua
- Environmental Health Institute, National Environment Agency, 11 Biopolis Way, #06-05-08, Singapore 138667
| | - Yuan Shi
- Environmental Health Institute, National Environment Agency, 11 Biopolis Way, #06-05-08, Singapore 138667
| | - Tun Lin Thein
- Institute of Infectious Diseases and Epidemiology, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, Singapore 308433
| | - Linda Kay Lee
- Institute of Infectious Diseases and Epidemiology, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, Singapore 308433
| | - Kim Sung Lee
- School of Life Sciences and Chemical Technology, Ngee Ann Polytechnic, 535 Clementi Road, Singapore 599489
| | - David Chien Lye
- Institute of Infectious Diseases and Epidemiology, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, Singapore 308433
| | - Lee Ching Ng
- Environmental Health Institute, National Environment Agency, 11 Biopolis Way, #06-05-08, Singapore 138667
- * E-mail:
| | - Yee Sin Leo
- Institute of Infectious Diseases and Epidemiology, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, Singapore 308433
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49
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Abstract
Dengue viruses have spread rapidly within countries and across regions in the past few decades, resulting in an increased frequency of epidemics and severe dengue disease, hyperendemicity of multiple dengue virus serotypes in many tropical countries, and autochthonous transmission in Europe and the USA. Today, dengue is regarded as the most prevalent and rapidly spreading mosquito-borne viral disease of human beings. Importantly, the past decade has also seen an upsurge in research on dengue virology, pathogenesis, and immunology and in development of antivirals, vaccines, and new vector-control strategies that can positively impact dengue control and prevention.
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Affiliation(s)
| | - Eva Harris
- Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, CA, USA.
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50
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Coffey LL, Failloux AB, Weaver SC. Chikungunya virus-vector interactions. Viruses 2014; 6:4628-63. [PMID: 25421891 PMCID: PMC4246241 DOI: 10.3390/v6114628] [Citation(s) in RCA: 109] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2014] [Revised: 11/10/2014] [Accepted: 11/10/2014] [Indexed: 12/25/2022] Open
Abstract
Chikungunya virus (CHIKV) is a mosquito-borne alphavirus that causes chikungunya fever, a severe, debilitating disease that often produces chronic arthralgia. Since 2004, CHIKV has emerged in Africa, Indian Ocean islands, Asia, Europe, and the Americas, causing millions of human infections. Central to understanding CHIKV emergence is knowledge of the natural ecology of transmission and vector infection dynamics. This review presents current understanding of CHIKV infection dynamics in mosquito vectors and its relationship to human disease emergence. The following topics are reviewed: CHIKV infection and vector life history traits including transmission cycles, genetic origins, distribution, emergence and spread, dispersal, vector competence, vector immunity and microbial interactions, and co-infection by CHIKV and other arboviruses. The genetics of vector susceptibility and host range changes, population heterogeneity and selection for the fittest viral genomes, dual host cycling and its impact on CHIKV adaptation, viral bottlenecks and intrahost diversity, and adaptive constraints on CHIKV evolution are also discussed. The potential for CHIKV re-emergence and expansion into new areas and prospects for prevention via vector control are also briefly reviewed.
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Affiliation(s)
- Lark L Coffey
- Center for Vectorborne Diseases, School of Veterinary Medicine, University of California, Davis, CA 95616, USA.
| | - Anna-Bella Failloux
- Department of Virology, Arboviruses and Insect Vectors, Institut Pasteur, 25-28 rue du Dr. Roux, 75724 Paris cedex 15, France.
| | - Scott C Weaver
- Institute for Human Infections and Immunity, Center for Tropical Diseases and Department of Pathology, University of Texas Medical Branch, Galveston, TX 77555, USA.
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