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Aktürk Dizman Y. Codon usage bias analysis of the gene encoding NAD +-dependent DNA ligase protein of Invertebrate iridescent virus 6. Arch Microbiol 2023; 205:352. [PMID: 37812231 DOI: 10.1007/s00203-023-03688-5] [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: 08/05/2023] [Accepted: 09/18/2023] [Indexed: 10/10/2023]
Abstract
The genome of Invertebrate iridescent virus 6 (IIV6) contains a sequence that shows similarity to eubacterial NAD+-dependent DNA ligases. The 615-amino acid open reading frame (ORF 205R) consists of several domains, including an N-terminal domain Ia, followed by an adenylation domain, an OB-fold domain, a helix-hairpin-helix (HhH) domain, and a BRCT domain. Notably, the zinc finger domain, typically present in NAD+-dependent DNA ligases, is absent in ORF 205R. Since the protein encoded by ORF 205R (IIV6 DNA ligase gene) is involved in critical functions such as DNA replication, modification, and repair, it is crucial to comprehend the codon usage associated with this gene. In this paper, the codon usage bias (CUB) in DNA ligase gene of IIV6 and 11 reference iridoviruses was analyzed by comparing the nucleotide contents, relative synonymous codon usage (RSCU), effective number of codons (ENC), codon adaptation index (CAI), relative abundance of dinucleotides and other indices. Both the base content and the RCSU analysis indicated that the A- and T-ending codons were mostly favored in the DNA ligase gene of IIV6. The ENC value of 35.64 implied a high CUB in the IIV6 DNA ligase gene. The ENC plot, neutrality plot, parity rule 2 plot, correspondence analysis revealed that mutation pressure and natural selection had an impact on the CUB of the IIVs DNA ligase genes. Additionally, the analysis of codon adaptation index demonstrated that the IIV6 DNA ligase gene is strongly adapted to its host. These findings will improve our comprehension of the CUB of IIV6 DNA ligase and reference genes, which may provide the required information for a fundamental evolutionary analysis of these genes.
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Affiliation(s)
- Yeşim Aktürk Dizman
- Department of Biology, Faculty of Arts and Sciences, Recep Tayyip Erdogan University, 53100, Rize, Turkey.
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Nippert S, Rubbenstroth D, Geers JA, Ebinger A, Hoffmann D, Breithaupt A, Wylezich C, Wang X, Haring VC, Starcky P, Fruci P, Langner C, Trapp C, Schulz H, Stubbe W, Imholt C, Heckel G, Beer M, Pfaff F, Ulrich RG. Continuous presence of genetically diverse rustrela virus lineages in yellow-necked field mouse reservoir populations in northeastern Germany. Virus Evol 2023; 9:vead048. [PMID: 37744713 PMCID: PMC10516363 DOI: 10.1093/ve/vead048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 06/14/2023] [Accepted: 07/26/2023] [Indexed: 09/26/2023] Open
Abstract
Rustrela virus (RusV; species Rubivirus strelense, family Matonaviridae) was discovered in different zoo animal species affected by fatal encephalitis. Simultaneous RusV RNA detection in multiple yellow-necked field mice (Apodemus flavicollis) suggested this rodent as a reservoir of RusV. Here, we investigated 1,264 yellow-necked field mice and sympatric other small mammals from different regions in Germany for RusV RNA using an optimized reverse transcription-quantitative polymerase chain reaction (RT-qPCR) protocol and high-throughput sequencing. The investigation resulted in the detection of RusV RNA exclusively in 50 of 396 (12.6 per cent) yellow-necked field mice but absence in other sympatric species. RT-qPCR-determined tissue distribution of RusV RNA revealed the highest viral loads in the central nervous system, with other tissues being only very rarely affected. The histopathological evaluation did not reveal any hints of encephalitis in the brains of infected animals despite the detection of viral RNA in neurons by in situ hybridization (ISH). The positive association between the body mass of yellow-necked field mice and RusV RNA detection suggests a persistent infection. Phylogenetic analysis of partial E1 and full-genome sequences showed a high diversification with at least four RusV lineages (1A-1D) in northeastern Germany. Moreover, phylogenetic and isolation-by-distance analyses indicated evolutionary processes of RusV mostly in local reservoir populations. A comparison of complete genome sequences from all detected RusV lineages demonstrated a high level of amino acid and nucleotide sequence variability within a part of the p150 peptide of the non-structural polyprotein and its coding sequence, respectively. The location of this region within the RusV genome and its genetic properties were comparable to the hypervariable region of the rubella virus. The broad range of detected RusV spillover hosts in combination with its geographical distribution in northeastern Germany requires the assessment of its zoonotic potential and further analysis of encephalitis cases in mammals. Future studies have to prove a putative co-evolution scenario for RusV in the yellow-necked field mouse reservoir.
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Affiliation(s)
- Sina Nippert
- Institute of Novel and Emerging Infectious Diseases, Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Südufer 10, Greifswald-Insel Riems 17493, Germany
| | - Dennis Rubbenstroth
- Institute of Novel and Emerging Infectious Diseases, Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Südufer 10, Greifswald-Insel Riems 17493, Germany
| | - Jessica Anna Geers
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Südufer 10, Greifswald-Insel Riems 17493, Germany
| | - Arnt Ebinger
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Südufer 10, Greifswald-Insel Riems 17493, Germany
| | - Donata Hoffmann
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Südufer 10, Greifswald-Insel Riems 17493, Germany
| | - Angele Breithaupt
- Department of Experimental Animal Facilities and Biorisk Management, Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Südufer 10, Greifswald-Insel Riems 17493, Germany
| | - Claudia Wylezich
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Südufer 10, Greifswald-Insel Riems 17493, Germany
- Department of Experimental Animal Facilities and Biorisk Management, Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Südufer 10, Greifswald-Insel Riems 17493, Germany
| | - Xuejing Wang
- Institute of Ecology and Evolution, University of Bern, Baltzerstraße 6, Bern CH-3012, Switzerland
| | - Viola C Haring
- Institute of Novel and Emerging Infectious Diseases, Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Südufer 10, Greifswald-Insel Riems 17493, Germany
| | - Philip Starcky
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Südufer 10, Greifswald-Insel Riems 17493, Germany
| | - Paola Fruci
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Südufer 10, Greifswald-Insel Riems 17493, Germany
- Laboratory of Infectious Diseases, Faculty of Veterinary Medicine, University of Teramo, Via Renato Balzarini 1, Teramo 64100, Italy
| | - Christoph Langner
- Stralsund Zoological Garden, Grünhufer Bogen 2, Stralsund 18437, Germany
| | - Christin Trapp
- Tierpark Grimmen, Friedrichstraße 20, Grimmen 18507, Germany
| | - Heiko Schulz
- Betriebsteil Forstplanung/Versuchswesen/Informationssysteme, Landesforst Mecklenburg-Vorpommern—Anstalt des öffentlichen Rechts, Zeppelinstraße 3, Schwerin 19061, Germany
| | - Wilko Stubbe
- Institut für Allgemeine und Systematische Zoologie, Universität Greifswald, Loitzer Straße 26, Greifswald 17489, Germany
| | - Christian Imholt
- Rodent Research, Institute for Epidemiology and Pathogen Diagnostics, Julius Kühn-Institute (JKI), Federal Research Centre for Cultivated Plants, Toppheideweg 88, Münster 48161, Germany
| | - Gerald Heckel
- Institute of Ecology and Evolution, University of Bern, Baltzerstraße 6, Bern CH-3012, Switzerland
| | - Martin Beer
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Südufer 10, Greifswald-Insel Riems 17493, Germany
| | - Florian Pfaff
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Südufer 10, Greifswald-Insel Riems 17493, Germany
| | - Rainer G Ulrich
- Partner Site Hamburg-Lübeck-Borstel-Riems, German Center for Infection Research (DZIF), Germany
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Crystal structure of the Rubella virus protease reveals a unique papain-like protease fold. J Biol Chem 2022; 298:102250. [PMID: 35835220 PMCID: PMC9271420 DOI: 10.1016/j.jbc.2022.102250] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Revised: 07/01/2022] [Accepted: 07/05/2022] [Indexed: 11/22/2022] Open
Abstract
Rubella, a viral disease characterized by a red skin rash, is well controlled because of an effective vaccine, but outbreaks are still occurring in the absence of available antiviral treatments. The Rubella virus (RUBV) papain-like protease (RubPro) is crucial for RUBV replication, cleaving the nonstructural polyprotein p200 into two multifunctional proteins, p150 and p90. This protease could represent a potential drug target, but structural and mechanistic details important for the inhibition of this enzyme are unclear. Here, we report a novel crystal structure of RubPro at a resolution of 1.64 Å. The RubPro adopts a unique papain-like protease fold, with a similar catalytic core to that of proteases from Severe acute respiratory syndrome coronavirus 2 and foot-and-mouth disease virus while having a distinctive N-terminal fingers domain. RubPro has well-conserved sequence motifs that are also found in its newly discovered Rubivirus relatives. In addition, we show that the RubPro construct has protease activity in trans against a construct of RUBV protease–helicase and fluorogenic peptides. A protease–helicase construct, exogenously expressed in Escherichia coli, was also cleaved at the p150–p90 cleavage junction, demonstrating protease activity of the protease–helicase protein. We also demonstrate that RubPro possesses deubiquitylation activity, suggesting a potential role of RubPro in modulating the host's innate immune responses. We anticipate that these structural and functional insights of RubPro will advance our current understanding of its function and help facilitate more structure-based research into the RUBV replication machinery, in hopes of developing antiviral therapeutics against RUBV.
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Tyagi N, Sardar R, Gupta D. Natural selection plays a significant role in governing the codon usage bias in the novel SARS-CoV-2 variants of concern (VOC). PeerJ 2022; 10:e13562. [PMID: 35765592 PMCID: PMC9233899 DOI: 10.7717/peerj.13562] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 05/19/2022] [Indexed: 01/17/2023] Open
Abstract
The ongoing prevailing COVID-19 pandemic caused by SARS-CoV-2 is becoming one of the major global health concerns worldwide. The SARS-CoV-2 genome encodes spike (S) glycoprotein that plays a very crucial role in viral entry into the host cell via binding of its receptor binding domain (RBD) to the host angiotensin converting enzyme 2 (ACE2) receptor. The continuously evolving SARS-CoV-2 genome results in more severe and transmissible variants characterized by the emergence of novel mutations called 'variants of concern' (VOC). The currently designated alpha, beta, gamma, delta and omicron VOC are the focus of this study due to their high transmissibility, increased virulence, and concerns for decreased effectiveness of the available vaccines. In VOC, the spike (S) gene and other non-structural protein mutations may affect the efficacies of the approved COVID-19 vaccines. To understand the diversity of SARS-CoV-2, several studies have been performed on a limited number of sequences. However, only a few studies have focused on codon usage bias (CUBs) pattern analysis of all the VOC strains. Therefore, to evaluate the evolutionary divergence of all VOC S-genes, we performed CUBs analysis on 300,354 sequences to understand the evolutionary relationship with its adaptation in different hosts, i.e., humans, bats, and pangolins. Base composition and RSCU analysis revealed the presence of 20 preferred AU-ended and 10 under-preferred GC-ended codons. In addition, CpG was found to be depleted, which may be attributable to the adaptive response by viruses to escape from the host defense process. Moreover, the ENC values revealed a higher bias in codon usage in the VOC S-gene. Further, the neutrality plot analysis demonstrated that S-genes analyzed in this study are under 83.93% influence of natural selection, suggesting its pivotal role in shaping the CUBs. The CUBs pattern of S-genes was found to be very similar among all the VOC strains. Interestingly, we observed that VOC strains followed a trend of antagonistic codon usage with respect to the human host. The identified CUBs divergence would help to understand the virus evolution and its host adaptation, thus help design novel vaccine strategies against the emerging VOC strains. To the best of our knowledge, this is the first report for identifying the evolution of CUBs pattern in all the currently identified VOC.
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Affiliation(s)
- Neetu Tyagi
- Translational Bioinformatics Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), New Delhi, India, New Delhi, New Delhi, India,Regional Centre for Biotechnology, Faridabad, Haryana, India
| | - Rahila Sardar
- Translational Bioinformatics Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), New Delhi, India, New Delhi, New Delhi, India,Biochemistry, Jamia Hamdard University, New Delhi, New Delhi, India
| | - Dinesh Gupta
- Translational Bioinformatics Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), New Delhi, India, New Delhi, New Delhi, India
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5
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Synonymous Codon Pattern of Cowpea Mild Mottle Virus Sheds Light on Its Host Adaptation and Genome Evolution. Pathogens 2022; 11:pathogens11040419. [PMID: 35456094 PMCID: PMC9026141 DOI: 10.3390/pathogens11040419] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 03/22/2022] [Accepted: 03/28/2022] [Indexed: 02/07/2023] Open
Abstract
Cowpea mild mottle virus (CpMMV) is an economically significant virus that causes severe disease on several legume crops. Aside from recombination, other factors driving its rapid evolution are elusive. In this study, the synonymous codon pattern of CpMMV and factors shaping it were analyzed. Phylogeny and nucleotide composition analyses showed that isolates of different geography or hosts had very similar nucleotide compositions. Relative synonymous codon usage (RSCU) and neutrality analyses suggest that CpMMV prefers A/U-ending codons and natural selection is the dominative factor that affects its codon bias. Dinucleotide composition and codon adaptation analyses indicate that the codon pattern of CpMMV is mainly shaped by the requirement of escaping of host dinucleotide-associated antiviral responses and translational efficiency.
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Gaunt ER, Digard P. Compositional biases in RNA viruses: Causes, consequences and applications. WILEY INTERDISCIPLINARY REVIEWS. RNA 2022; 13:e1679. [PMID: 34155814 PMCID: PMC8420353 DOI: 10.1002/wrna.1679] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 05/29/2021] [Accepted: 05/31/2021] [Indexed: 01/05/2023]
Abstract
If each of the four nucleotides were represented equally in the genomes of viruses and the hosts they infect, each base would occur at a frequency of 25%. However, this is not observed in nature. Similarly, the order of nucleotides is not random (e.g., in the human genome, guanine follows cytosine at a frequency of ~0.0125, or a quarter the number of times predicted by random representation). Codon usage and codon order are also nonrandom. Furthermore, nucleotide and codon biases vary between species. Such biases have various drivers, including cellular proteins that recognize specific patterns in nucleic acids, that once triggered, induce mutations or invoke intrinsic or innate immune responses. In this review we examine the types of compositional biases identified in viral genomes and current understanding of the evolutionary mechanisms underpinning these trends. Finally, we consider the potential for large scale synonymous recoding strategies to engineer RNA virus vaccines, including those with pandemic potential, such as influenza A virus and Severe Acute Respiratory Syndrome Coronavirus Virus 2. This article is categorized under: RNA in Disease and Development > RNA in Disease RNA Evolution and Genomics > Computational Analyses of RNA RNA Interactions with Proteins and Other Molecules > Protein-RNA Recognition.
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Affiliation(s)
- Eleanor R. Gaunt
- Department of Infection and ImmunityThe Roslin Institute, The University of EdinburghEdinburghUK
| | - Paul Digard
- Department of Infection and ImmunityThe Roslin Institute, The University of EdinburghEdinburghUK
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Sun J, Zhao W, Wang R, Zhang W, Li G, Lu M, Shao Y, Yang Y, Wang N, Gao Q, Su S. Analysis of the Codon Usage Pattern of HA and NA Genes of H7N9 Influenza A Virus. Int J Mol Sci 2020; 21:ijms21197129. [PMID: 32992529 PMCID: PMC7583936 DOI: 10.3390/ijms21197129] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Revised: 09/23/2020] [Accepted: 09/24/2020] [Indexed: 11/17/2022] Open
Abstract
Novel H7N9 influenza virus transmitted from birds to human and, since March 2013, it has caused five epidemic waves in China. Although the evolution of H7N9 viruses has been investigated, the evolutionary changes associated with codon usage are still unclear. Herein, the codon usage pattern of two surface glycoproteins, hemagglutinin (HA) and neuraminidase (NA), was studied to understand the evolutionary changes in relation to host, epidemic wave, and pathogenicity. Both genes displayed a low codon usage bias, with HA higher than NA. The codon usage was driven by mutation pressure and natural selection, although the main contributing factor was natural selection. Additionally, the codon adaptation index (CAI) and deoptimization (RCDI) illustrated the strong adaptability of H7N9 to Gallus gallus. Similarity index (SiD) analysis showed that Homo sapiens posed a stronger selection pressure than Gallus gallus. Thus, we assume that this may be related to the gradual adaptability of the virus to human. In addition, the host strong selection pressure was validated based on CpG dinucleotide content. In conclusion, this study analyzed the usage of codons of two genes of H7N9 and expanded our understanding of H7N9 host specificity. This aids into the development of control measures against H7N9 influenza virus.
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Genome polarity of RNA viruses reflects the different evolutionary pressures shaping codon usage. Arch Virol 2018; 163:2883-2888. [PMID: 29987380 DOI: 10.1007/s00705-018-3930-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Accepted: 05/10/2018] [Indexed: 10/28/2022]
Abstract
RNA viruses are classified by their genome polarity and replication strategies. Nucleotide composition and codon usage differ among virus groups, for instance positive-sense RNA (+ssRNA) viruses have higher GC-content than the other RNA virus groups. Codon usage of +ssRNA viruses is closer to humans showing significantly higher codon adaptation index (CAI) than those of negative-sense RNA (-ssRNA), double stranded RNA (dsRNA) and retroviruses. Ambisense viruses have high CAI comparable to that of +ssRNA virus despite their lower GC content, whereas dsRNA viruses have the lowest CAI. This may provide a benefit for +ssRNA viruses as their genomes are used as mRNA. However, analyses for influence of nucleotide composition on codon usage did not show a difference between +ssRNA and -ssRNA viruses. This suggests that genome composition and hence mutational pressure remain the major pressure causing the differences in codon usage among RNA viruses with different genome types.
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Jiang W, Lv B, Wu X, Wang J, Wu G, Shi C, Tang X. Analysis of synonymous codon usage patterns in the edible fungusVolvariella volvacea. Biotechnol Appl Biochem 2016; 64:218-224. [DOI: 10.1002/bab.1538] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2016] [Accepted: 09/23/2016] [Indexed: 11/09/2022]
Affiliation(s)
- Wei Jiang
- Biotechnology Research Institute; Shanghai Academy of Agricultural Sciences; Shanghai People's Republic of China
- Shanghai Key Laboratory of Agricultural Genetics and Breeding; Shanghai People's Republic of China
| | - Beibei Lv
- Biotechnology Research Institute; Shanghai Academy of Agricultural Sciences; Shanghai People's Republic of China
- Shanghai Key Laboratory of Agricultural Genetics and Breeding; Shanghai People's Republic of China
| | - Xiao Wu
- Biotechnology Research Institute; Shanghai Academy of Agricultural Sciences; Shanghai People's Republic of China
- Shanghai Key Laboratory of Agricultural Genetics and Breeding; Shanghai People's Republic of China
| | - Jinbin Wang
- Biotechnology Research Institute; Shanghai Academy of Agricultural Sciences; Shanghai People's Republic of China
- Shanghai Key Laboratory of Agricultural Genetics and Breeding; Shanghai People's Republic of China
| | - Guogan Wu
- Biotechnology Research Institute; Shanghai Academy of Agricultural Sciences; Shanghai People's Republic of China
- Shanghai Key Laboratory of Agricultural Genetics and Breeding; Shanghai People's Republic of China
| | - Chunhui Shi
- Forestry and Fruit Tree Institute; Shanghai Academy of Agricultural Sciences; Shanghai People's Republic of China
| | - Xueming Tang
- Biotechnology Research Institute; Shanghai Academy of Agricultural Sciences; Shanghai People's Republic of China
- Shanghai Key Laboratory of Agricultural Genetics and Breeding; Shanghai People's Republic of China
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van Hemert F, van der Kuyl AC, Berkhout B. Impact of the biased nucleotide composition of viral RNA genomes on RNA structure and codon usage. J Gen Virol 2016; 97:2608-2619. [PMID: 27519195 DOI: 10.1099/jgv.0.000579] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
We are interested in the influence of nucleotide composition on the fundamental characteristics of the virus RNA genome. Most RNA viruses have genomes with a distinct nucleotide composition, e.g. ranging from minimally 12.9 % to maximally 40.3 % (C- and U-count, respectively, in coronavirus HKU). We present a global analysis of diverse virus types, including plus-strand, minus-strand and double-strand RNA viruses, for the impact of this nucleotide preference on the predicted structure of the RNA genome that is packaged in virion particles and on the codon usage in the viral open reading frames. Several virus-specific features will be described, but also some general conclusions were drawn. Without exception, the virus-specific nucleotide bias was enriched in the unpaired, single-stranded regions of the RNA genome, thus creating an even more striking virus-specific signature. We present a simple mechanism that is based on elementary aspects of RNA structure folding to explain this general trend. In general, the nucleotide bias was the major determinant of the virus-specific codon usages, thus limiting a role for codon selection and translational control. We will discuss molecular and evolutionary scenarios that may be responsible for the diverse nucleotide biases of RNA viruses.
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Affiliation(s)
- Formijn van Hemert
- Laboratory of Experimental Virology, Department of Medical Microbiology, Center for Infection and Immunity Amsterdam (CINIMA), Academic Medical Center, University of Amsterdam, Amsterdam 1105 AZ, The Netherlands
| | - Antoinette C van der Kuyl
- Laboratory of Experimental Virology, Department of Medical Microbiology, Center for Infection and Immunity Amsterdam (CINIMA), Academic Medical Center, University of Amsterdam, Amsterdam 1105 AZ, The Netherlands
| | - Ben Berkhout
- Laboratory of Experimental Virology, Department of Medical Microbiology, Center for Infection and Immunity Amsterdam (CINIMA), Academic Medical Center, University of Amsterdam, Amsterdam 1105 AZ, The Netherlands
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Karniychuk UU. Analysis of the synonymous codon usage bias in recently emerged enterovirus D68 strains. Virus Res 2016; 223:73-9. [PMID: 27364082 DOI: 10.1016/j.virusres.2016.06.015] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2016] [Revised: 05/09/2016] [Accepted: 06/24/2016] [Indexed: 11/30/2022]
Abstract
Understanding the codon usage pattern of a pathogen and relationship between pathogen and host's codon usage patterns has fundamental and applied interests. Enterovirus D68 (EV-D68) is an emerging pathogen with a potentially high public health significance. In the present study, the synonymous codon usage bias of 27 recently emerged, and historical EV-D68 strains was analyzed. In contrast to previously studied enteroviruses (enterovirus 71 and poliovirus), EV-D68 and human host have a high discrepancy between favored codons. Analysis of viral synonymous codon usage bias metrics, viral nucleotide/dinucleotide compositional parameters, and viral protein properties showed that mutational pressure is more involved in shaping the synonymous codon usage bias of EV-D68 than translation selection. Computation of codon adaptation indices allowed to estimate expression potential of the EV-D68 genome in several commonly used laboratory animals. This approach requires experimental validation and may provide an auxiliary tool for the rational selection of laboratory animals to model emerging viral diseases. Enterovirus D68 genome compositional and codon usage data can be useful for further pathogenesis, animal model, and vaccine design studies.
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Affiliation(s)
- Uladzimir U Karniychuk
- Vaccine and Infectious Disease Organization-International Vaccine Centre (VIDO-InterVac), University of Saskatchewan, Saskatoon, SK S7N 5E3, Canada.
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Brandão PE. The evolution of codon usage in structural and non-structural viral genes: the case of Avian coronavirus and its natural host Gallus gallus. Virus Res 2013; 178:264-71. [PMID: 24091362 PMCID: PMC7114390 DOI: 10.1016/j.virusres.2013.09.033] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2013] [Revised: 09/13/2013] [Accepted: 09/20/2013] [Indexed: 12/28/2022]
Abstract
Avian coronavirus codon usage is closer to chicken for non-structural proteins. Spike glycoprotein gene shares less preferred codons with chicken. Avian coronavirus balances replication and immune camouflage for its codon usage.
To assess the codon evolution in virus–host systems, Avian coronavirus and its natural host Gallus gallus were used as a model. Codon usage (CU) was measured for the viral spike (S), nucleocapsid (N), nonstructural protein 2 (NSP2) and papain-like protease (PLpro) genes from a diverse set of A. coronavirus lineages and for G. gallus genes (lung surfactant protein A, intestinal cholecystokinin, oviduct ovomucin alpha subunit, kidney vitamin D receptor and the ubiquitary beta-actin) for different A. coronavirus replicating sites. Relative synonymous codon usage (RSCU) trees accommodating all virus and host genes in a single topology showed a higher proximity of A. coronavirus CU to the respiratory tract for all genes. The codon adaptation index (CAI) showed a lower adaptation of S to G. gallus compared to NSP2, PLpro and N. The effective number of codons (Nc) and GC3% revealed that natural selection and genetic drift are the evolutionary forces driving the codon usage evolution of both A. coronavirus and G. gallus regardless of the gene being considered. The spike gene showed only one 100% conserved amino acid position coded by an A. coronavirus preferred codon, a significantly low number when compared to the three other genes (p < 0.0001). Virus CU evolves independently for each gene in a manner predicted by the protein function, with a balance between natural selection and mutation pressure, giving further molecular basis for the viruses’ ability to exploit the host's cellular environment in a concerted virus–host molecular evolution.
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Affiliation(s)
- Paulo Eduardo Brandão
- Department of Preventive Veterinary Medicine and Animal Health, School of Veterinary Medicine, University of São Paulo, Brazil.
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13
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van der Kuyl AC, Berkhout B. The biased nucleotide composition of the HIV genome: a constant factor in a highly variable virus. Retrovirology 2012; 9:92. [PMID: 23131071 PMCID: PMC3511177 DOI: 10.1186/1742-4690-9-92] [Citation(s) in RCA: 66] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2012] [Accepted: 10/14/2012] [Indexed: 01/09/2023] Open
Abstract
Viruses often deviate from their hosts in the nucleotide composition of their genomes. The RNA genome of the lentivirus family of retroviruses, including human immunodeficiency virus (HIV), contains e.g. an above average percentage of adenine (A) nucleotides, while being extremely poor in cytosine (C). Such a deviant base composition has implications for the amino acids that are encoded by the open reading frames (ORFs), both in the requirement of specific tRNA species and in the preference for amino acids encoded by e.g. A-rich codons. Nucleotide composition does obviously affect the secondary and tertiary structure of the RNA genome and its biological functions, but it does also influence phylogenetic analysis of viral genome sequences, and possibly the activity of the integrated DNA provirus. Over time, the nucleotide composition of the HIV-1 genome is exceptionally conserved, varying by less than 1% per base position per isolate within either group M, N, or O during 1983–2009. This extreme stability of the nucleotide composition may possibly be achieved by negative selection, perhaps conserving semi-stable RNA secondary structure as reverse transcription would be significantly affected for a less A-rich genome where secondary structures are expected to be more stable and thus more difficult to unfold. This review will discuss all aspects of the lentiviral genome composition, both of the RNA and of its derived double-stranded DNA genome, with a focus on HIV-1, the nucleotide composition over time, the effects of artificially humanized codons as well as contributions of immune system pressure on HIV nucleotide bias.
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Affiliation(s)
- Antoinette C van der Kuyl
- Laboratory of Experimental Virology, Department of Medical Microbiology, Center for Infection and Immunity Amsterdam, Academic Medical Center of the University of Amsterdam, Meibergdreef 15, Amsterdam, AZ 1105, The Netherlands.
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