1
|
Câmara RJF, Bueno BL, Resende CF, Balasuriya UBR, Sakamoto SM, dos Reis JKP. Viral Diseases that Affect Donkeys and Mules. Animals (Basel) 2020; 10:ani10122203. [PMID: 33255568 PMCID: PMC7760297 DOI: 10.3390/ani10122203] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 11/17/2020] [Accepted: 11/19/2020] [Indexed: 12/13/2022] Open
Abstract
Simple Summary Donkeys have been neglected and threatened by abandonment, indiscriminate slaughter, and a lack of proper sanitary management. They are often treated as “small horses.” However, donkeys and horses have significant genetic, physiological, and behavioral differences. Specific knowledge about viral infectious diseases that affect donkeys and mules is important to mitigate disease outbreaks. Thus, the purpose of this review is to provide a brief update on viral diseases of donkeys and mules and ways to prevent their spread. Abstract Donkeys (Equus asinus) and mules represent approximately 50% of the entire domestic equine herd in the world and play an essential role in the lives of thousands of people, primarily in developing countries. Despite their importance, donkeys are currently a neglected and threatened species due to abandonment, indiscriminate slaughter, and a lack of proper sanitary management. Specific knowledge about infectious viral diseases that affect this group of Equidae is still limited. In many cases, donkeys and mules are treated like horses, with the physiological differences between these species usually not taken into account. Most infectious diseases that affect the Equidae family are exclusive to the family, and they have a tremendous economic impact on the equine industry. However, some viruses may cross the species barrier and affect humans, representing an imminent risk to public health. Nevertheless, even with such importance, most studies are conducted on horses (Equus caballus), and there is little comparative information on infection in donkeys and mules. Therefore, the objective of this article is to provide a brief update on viruses that affect donkeys and mules, thereby compromising their performance and well-being. These diseases may put them at risk of extinction in some parts of the world due to neglect and the precarious conditions they live in and may ultimately endanger other species’ health and humans.
Collapse
Affiliation(s)
- Rebeca Jéssica Falcão Câmara
- Laboratório de Retroviroses, Departamento de Medicina Veterinária Preventiva, Escola de Veterinária, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil; (R.J.F.C.); (B.L.B.); (C.F.R.)
| | - Bruna Lopes Bueno
- Laboratório de Retroviroses, Departamento de Medicina Veterinária Preventiva, Escola de Veterinária, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil; (R.J.F.C.); (B.L.B.); (C.F.R.)
| | - Cláudia Fideles Resende
- Laboratório de Retroviroses, Departamento de Medicina Veterinária Preventiva, Escola de Veterinária, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil; (R.J.F.C.); (B.L.B.); (C.F.R.)
| | - Udeni B. R. Balasuriya
- Louisiana Animal Disease Diagnostic Laboratory and Department of Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, River Rd, Room 1043, Baton Rouge, LA 70803, USA;
| | - Sidnei Miyoshi Sakamoto
- Laboratório Multidisciplinar do Centro de Ciências Biológicas e da Saúde, Departamento de Ciências da Saúde (DCS), Universidade Federal Rural do Semi-Árido, Rio Grande do Norte 59625-900, Brazil;
| | - Jenner Karlisson Pimenta dos Reis
- Laboratório de Retroviroses, Departamento de Medicina Veterinária Preventiva, Escola de Veterinária, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil; (R.J.F.C.); (B.L.B.); (C.F.R.)
- Correspondence: ; Tel.: +55-31-3409-2100
| |
Collapse
|
2
|
Khodary SM, Anwar AM. Insights into The Codon Usage Bias of 13 Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Isolates from Different Geo-locations. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2020:2020.04.01.019463. [PMID: 34013275 PMCID: PMC8132235 DOI: 10.1101/2020.04.01.019463] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of Coronavirus disease 2019 (COVID-19) which is an infectious disease that spread throughout the world and was declared as a pandemic by the World Health Organization (WHO). In this study, we performed a genome-wide analysis on the codon usage bias (CUB) of 13 SARS-CoV-2 isolates from different geo-locations (countries) in an attempt to characterize it, unravel the main force shaping its pattern, and understand its adaptation to Homo sapiens . Overall results revealed that, SARS-CoV-2 codon usage is slightly biased similarly to other RNA viruses. Nucleotide and dinucleotide compositions displayed a bias toward A/U content in all codon positions and CpU-ended codons preference, respectively. Eight common putative preferred codons were identified, and all of them were A/U-ended (U-ended: 7, A-ended: 1). In addition, natural selection was found to be the main force structuring the codon usage pattern of SARS-CoV-2. However, mutation pressure and other factors such as compositional constraints and hydrophobicity had an undeniable contribution. Two adaptation indices were utilized and indicated that SARS-CoV-2 is moderately adapted to Homo sapiens compared to other human viruses. The outcome of this study may help in understanding the underlying factors involved in the evolution of SARS-CoV-2 and may aid in vaccine design strategies.
Collapse
|
3
|
He W, Wang N, Tan J, Wang R, Yang Y, Li G, Guan H, Zheng Y, Shi X, Ye R, Su S, Zhou J. Comprehensive codon usage analysis of porcine deltacoronavirus. Mol Phylogenet Evol 2019; 141:106618. [PMID: 31536759 PMCID: PMC7111727 DOI: 10.1016/j.ympev.2019.106618] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2017] [Revised: 09/05/2019] [Accepted: 09/11/2019] [Indexed: 12/13/2022]
Abstract
Porcine deltacoronavirus (PDCoV) is a newly identified coronavirus of pigs that was first reported in Hong Kong in 2012. Since then, many PDCoV isolates have been identified worldwide. In this study, we analyzed the codon usage pattern of the S gene using complete coding sequences and complete PDCoV genomes to gain a deeper understanding of their genetic relationships and evolutionary history. We found that during evolution three groups evolved with a relatively low codon usage bias (effective number of codons (ENC) of 52). The factors driving bias were complex. However, the primary element influencing the codon bias of PDCoVs was natural selection. Our results revealed that different natural environments may have a significant impact on the genetic characteristics of the strains. In the future, more epidemiological surveys are required to examine the factors that resulted in the emergence and outbreak of this virus.
Collapse
Affiliation(s)
- Wei He
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
| | - Ningning Wang
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
| | - Jimin Tan
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
| | - Ruyi Wang
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
| | - Yichen Yang
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
| | - Gairu Li
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
| | - Haifei Guan
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
| | - Yuna Zheng
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
| | - Xinze Shi
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
| | - Rui Ye
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
| | - Shuo Su
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China.
| | - Jiyong Zhou
- MOA Key Laboratory of Animal Virology, Department of Veterinary Medicine and Veterinary Medical Research Center, Zhejiang University, Hangzhou 310058, China; Institute of Preventive Veterinary Sciences, Zhejiang University, Hangzhou 310058, China; Collaborative Innovation Center and State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, Zhejiang University, Hangzhou 310003, China.
| |
Collapse
|
4
|
Comprehensive Analysis of Codon Usage on Rabies Virus and Other Lyssaviruses. Int J Mol Sci 2018; 19:ijms19082397. [PMID: 30110957 PMCID: PMC6121662 DOI: 10.3390/ijms19082397] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Revised: 08/08/2018] [Accepted: 08/10/2018] [Indexed: 12/15/2022] Open
Abstract
Rabies virus (RABV) and other lyssaviruses can cause rabies and rabies-like diseases, which are a persistent public health threat to humans and other mammals. Lyssaviruses exhibit distinct characteristics in terms of geographical distribution and host specificity, indicative of a long-standing diversification to adapt to the environment. However, the evolutionary diversity of lyssaviruses, in terms of codon usage, is still unclear. We found that RABV has the lowest codon usage bias among lyssaviruses strains, evidenced by its high mean effective number of codons (ENC) (53.84 ± 0.35). Moreover, natural selection is the driving force in shaping the codon usage pattern of these strains. In summary, our study sheds light on the codon usage patterns of lyssaviruses, which can aid in the development of control strategies and experimental research.
Collapse
|
5
|
Analysis of the codon usage pattern in Middle East Respiratory Syndrome Coronavirus. Oncotarget 2017; 8:110337-110349. [PMID: 29299151 PMCID: PMC5746386 DOI: 10.18632/oncotarget.22738] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2017] [Accepted: 10/27/2017] [Indexed: 11/25/2022] Open
Abstract
Middle East Respiratory Syndrome Coronavirus (MERS-CoV), which first broken out in Jeddah in 2012, causes a severe acute respiratory illness with a high mortality rate. To better understand the molecular characteristics of isolated MERS-CoV genomes, we first analysed the codon usage pattern of the zoonotic MERS-CoV strains comprehensively to gain an insight into the mechanism of cross-species transmission. We found that MERS human/camel isolates showed a low codon usage bias. Both mutation and nature selection pressure have contributed to this low codon usage bias, with the former being the main determining factor. We also observed that gene function, evolution time and the different host species of the virus all contributed to the bias of MERS-CoV, to some extent. Additionally, the codon usage pattern of MERS-CoV isolates is different from other related Nidovirales viruses isolated from bats and hedgehogs. In the future, more epidemiological surveys are required to examine the factors that resulted in the emergence and outbreak of this virus.
Collapse
|
6
|
Bera BC, Virmani N, Kumar N, Anand T, Pavulraj S, Rash A, Elton D, Rash N, Bhatia S, Sood R, Singh RK, Tripathi BN. Genetic and codon usage bias analyses of polymerase genes of equine influenza virus and its relation to evolution. BMC Genomics 2017; 18:652. [PMID: 28830350 PMCID: PMC5568313 DOI: 10.1186/s12864-017-4063-1] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2017] [Accepted: 08/15/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Equine influenza is a major health problem of equines worldwide. The polymerase genes of influenza virus have key roles in virus replication, transcription, transmission between hosts and pathogenesis. Hence, the comprehensive genetic and codon usage bias of polymerase genes of equine influenza virus (EIV) were analyzed to elucidate the genetic and evolutionary relationships in a novel perspective. RESULTS The group - specific consensus amino acid substitutions were identified in all polymerase genes of EIVs that led to divergence of EIVs into various clades. The consistent amino acid changes were also detected in the Florida clade 2 EIVs circulating in Europe and Asia since 2007. To study the codon usage patterns, a total of 281,324 codons of polymerase genes of EIV H3N8 isolates from 1963 to 2015 were systemically analyzed. The polymerase genes of EIVs exhibit a weak codon usage bias. The ENc-GC3s and Neutrality plots indicated that natural selection is the major influencing factor of codon usage bias, and that the impact of mutation pressure is comparatively minor. The methods for estimating host imposed translation pressure suggested that the polymerase acidic (PA) gene seems to be under less translational pressure compared to polymerase basic 1 (PB1) and polymerase basic 2 (PB2) genes. The multivariate statistical analysis of polymerase genes divided EIVs into four evolutionary diverged clusters - Pre-divergent, Eurasian, Florida sub-lineage 1 and 2. CONCLUSIONS Various lineage specific amino acid substitutions observed in all polymerase genes of EIVs and especially, clade 2 EIVs underwent major variations which led to the emergence of a phylogenetically distinct group of EIVs originating from Richmond/1/07. The codon usage bias was low in all the polymerase genes of EIVs that was influenced by the multiple factors such as the nucleotide compositions, mutation pressure, aromaticity and hydropathicity. However, natural selection was the major influencing factor in defining the codon usage patterns and evolution of polymerase genes of EIVs.
Collapse
Affiliation(s)
- Bidhan Ch Bera
- National Research Centre on Equines, Sirsa Road, Hisar, Haryana, India
| | - Nitin Virmani
- National Research Centre on Equines, Sirsa Road, Hisar, Haryana, India.
| | - Naveen Kumar
- National Institute of High Security Animal Diseases, Hathai Kheda Dam Road, Anand Nagar, Bhopal, Madhya Pradesh, India
| | - Taruna Anand
- National Research Centre on Equines, Sirsa Road, Hisar, Haryana, India
| | - S Pavulraj
- National Research Centre on Equines, Sirsa Road, Hisar, Haryana, India
| | - Adam Rash
- Animal Health Trust, Lanwades Park, Kentford, Newmarket, Suffolk, CB8 7UU, UK
| | - Debra Elton
- Animal Health Trust, Lanwades Park, Kentford, Newmarket, Suffolk, CB8 7UU, UK
| | - Nicola Rash
- Animal Health Trust, Lanwades Park, Kentford, Newmarket, Suffolk, CB8 7UU, UK
| | - Sandeep Bhatia
- National Institute of High Security Animal Diseases, Hathai Kheda Dam Road, Anand Nagar, Bhopal, Madhya Pradesh, India
| | - Richa Sood
- National Institute of High Security Animal Diseases, Hathai Kheda Dam Road, Anand Nagar, Bhopal, Madhya Pradesh, India
| | - Raj Kumar Singh
- Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, India
| | | |
Collapse
|
7
|
Hussain S, Rasool ST. Analysis of synonymous codon usage in Zika virus. Acta Trop 2017; 173:136-146. [PMID: 28606821 DOI: 10.1016/j.actatropica.2017.06.006] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2017] [Revised: 06/04/2017] [Accepted: 06/07/2017] [Indexed: 01/11/2023]
Abstract
Zika virus is a zoonotic pathogen, which have made frequent incursion into the human population in Africa and South East Asia over the course of several decades but never reached to the pandemic proportions until the most recent outbreak. Viruses are solely dependent on host synthetic machinery for their replication cycle; therefore, replication and persistence in a host species of different genetic background requires certain degree of adaptation. These adaptations are necessary to avoid detection from host immune surveillance and maximize the utilization of available resources for efficient viral replication. Study of genomic composition and codon usage pattern not only offer an insight into the adaptation of viruses to their new host, but may also provide some information about pathogenesis and spread of the virus. To elucidate the genetic features and synonymous codon usage bias in ZIKV genome, a comprehensive analysis was performed on 80 full-length ZIKV sequences. Our analyses shows that the overall extent of codon usage bias in ZIKV genome is low and affected by nucleotide composition, protein properties, natural selection, and gene expression level.
Collapse
|
8
|
Lin YZ, Sun LK, Zhu DT, Hu Z, Wang XF, Du C, Wang YH, Wang XJ, Zhou JH. Equine schlafen 11 restricts the production of equine infectious anemia virus via a codon usage-dependent mechanism. Virology 2016; 495:112-21. [PMID: 27200480 DOI: 10.1016/j.virol.2016.04.024] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2016] [Revised: 04/22/2016] [Accepted: 04/23/2016] [Indexed: 12/21/2022]
Abstract
Human schlafen11 is a novel restriction factor for HIV-1 based on bias regarding relative synonymous codon usage (RSCU). Here, we report the cloning of equine schlafen11 (eSLFN11) and the characteristics of its role in restricting the production of equine infectious anemia virus (EIAV), a retrovirus similar to HIV-1. Overexpression of eSLFN11 inhibited EIAV replication, whereas knockdown of endogenous eSLFN11 by siRNA enhanced the release of EIAV from its principal target cell. Notably, although eSLFN11 significantly suppressed expression of viral Gag protein and EIAV release into the culture medium, the levels of intracellular viral early gene proteins Tat and Rev and viral genomic RNA were unaffected. Coincidently, similar altered patterns of codon usage bias were observed for both the early and late genes of EIAV. Therefore, our data suggest that eSLFN11 restricts EIAV production by impairing viral mRNA translation via a mechanism that is similar to that employed by hSLFN11 for HIV-1.
Collapse
Affiliation(s)
- Yue-Zhi Lin
- Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Science, Harbin, China.
| | - Liu-Ke Sun
- Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Science, Harbin, China.
| | - Dan-Tong Zhu
- Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Science, Harbin, China; College of Wildlife Resources, Northeast Forestry University, Harbin, China.
| | - Zhe Hu
- Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Science, Harbin, China.
| | - Xue-Feng Wang
- Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Science, Harbin, China.
| | - Cheng Du
- Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Science, Harbin, China.
| | - Yu-Hong Wang
- Department of Geriatrics And Gerontology, First Affiliated Hospital of Harbin Medical University, Harbin, China.
| | - Xiao-Jun Wang
- Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Science, Harbin, China.
| | - Jian-Hua Zhou
- Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Science, Harbin, China.
| |
Collapse
|
9
|
Kumar N, Bera BC, Greenbaum BD, Bhatia S, Sood R, Selvaraj P, Anand T, Tripathi BN, Virmani N. Revelation of Influencing Factors in Overall Codon Usage Bias of Equine Influenza Viruses. PLoS One 2016; 11:e0154376. [PMID: 27119730 PMCID: PMC4847779 DOI: 10.1371/journal.pone.0154376] [Citation(s) in RCA: 71] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2015] [Accepted: 04/12/2016] [Indexed: 11/18/2022] Open
Abstract
Equine influenza viruses (EIVs) of H3N8 subtype are culprits of severe acute respiratory infections in horses, and are still responsible for significant outbreaks worldwide. Adaptability of influenza viruses to a particular host is significantly influenced by their codon usage preference, due to an absolute dependence on the host cellular machinery for their replication. In the present study, we analyzed genome-wide codon usage patterns in 92 EIV strains, including both H3N8 and H7N7 subtypes by computing several codon usage indices and applying multivariate statistical methods. Relative synonymous codon usage (RSCU) analysis disclosed bias of preferred synonymous codons towards A/U-ended codons. The overall codon usage bias in EIVs was slightly lower, and mainly affected by the nucleotide compositional constraints as inferred from the RSCU and effective number of codon (ENc) analysis. Our data suggested that codon usage pattern in EIVs is governed by the interplay of mutation pressure, natural selection from its hosts and undefined factors. The H7N7 subtype was found less fit to its host (horse) in comparison to H3N8, by possessing higher codon bias, lower mutation pressure and much less adaptation to tRNA pool of equine cells. To the best of our knowledge, this is the first report describing the codon usage analysis of the complete genomes of EIVs. The outcome of our study is likely to enhance our understanding of factors involved in viral adaptation, evolution, and fitness towards their hosts.
Collapse
MESH Headings
- Adaptation, Physiological/genetics
- Animals
- Biological Evolution
- Codon
- Gene Expression Regulation, Viral
- Genetic Code
- Genome, Viral
- Horse Diseases/virology
- Horses
- Host-Pathogen Interactions
- Influenza A Virus, H3N8 Subtype/genetics
- Influenza A Virus, H3N8 Subtype/metabolism
- Influenza A Virus, H7N7 Subtype/genetics
- Influenza A Virus, H7N7 Subtype/metabolism
- Models, Statistical
- Mutation Rate
- Orthomyxoviridae Infections/veterinary
- Orthomyxoviridae Infections/virology
- RNA, Transfer/genetics
- RNA, Transfer/metabolism
- Species Specificity
- Virus Replication
Collapse
Affiliation(s)
- Naveen Kumar
- Immunology Lab, National Institute of High Security Animal Diseases (NIHSAD), Bhopal, Madhya Pradesh, India
| | - Bidhan Chandra Bera
- Biotechnology Lab, Veterinary Type Culture Collection, National Research Center on Equines (NRCE), Hisar, Haryana, India
| | - Benjamin D. Greenbaum
- Tisch Cancer Institute, Departments of Medicine, Hematology and Medical Pathology, and Pathology, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Sandeep Bhatia
- Immunology Lab, National Institute of High Security Animal Diseases (NIHSAD), Bhopal, Madhya Pradesh, India
| | - Richa Sood
- Immunology Lab, National Institute of High Security Animal Diseases (NIHSAD), Bhopal, Madhya Pradesh, India
| | - Pavulraj Selvaraj
- Equine Pathology Lab, National Research Center on Equines (NRCE), Hisar, Haryana, India
| | - Taruna Anand
- Biotechnology Lab, Veterinary Type Culture Collection, National Research Center on Equines (NRCE), Hisar, Haryana, India
| | | | - Nitin Virmani
- Equine Pathology Lab, National Research Center on Equines (NRCE), Hisar, Haryana, India
- * E-mail:
| |
Collapse
|