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Frontiers in veterinary science2018; 5; 318; doi: 10.3389/fvets.2018.00318

Viral Enrichment Methods Affect the Detection but Not Sequence Variation of West Nile Virus in Equine Brain Tissue.

Abstract: West Nile virus (WNV), a small, positive sense, single stranded RNA virus continues to encroach into new locales with emergence of new viral variants. Neurological disease in the equine can be moderate to severe in the face of low to undetectable virus loads. Physical methods of virus enrichment may increase sensitivity of virus detection and enhance analysis of viral diversity, especially for deep sequencing studies. However, the use of these techniques is limited mainly to non-neural tissues. We investigated the hypothesis that elimination of equine brain RNA enhances viral detection without limiting viral variation. Eight different WNV viral RNA enrichment and host RNA separation methods were evaluated to determine if elimination of host RNA enhanced detection of WNV and increase the repertoire of virus variants for sequencing. Archived brain tissue from 21 different horses was inoculated with WNV, homogenized, before enrichment and separation. The protocols utilized combinations of low-speed centrifugation, syringe filtration, and nuclease treatment. Viral and host RNA were analyzed using real-time PCR targeting the WNV Envelope (E) protein and equine G3PDH to determine relative sensitivity for WNV and host depletion, respectively. To determine the effect of these methods on viral variation, deep sequencing of the E protein was performed. Our results demonstrate that additional separation and enrichment methods resulted in loss of virus in the face of host RNA depletion. DNA sequencing showed no significant difference in total sequence variation between the RNA enrichment protocols. For equine brain infected with WNV, direct RNA extraction followed by host RNA depletion was most suitable. This study highlights the importance of evaluating viral enrichment and separation methods according to tissue type before embarking on studies where quantification of virus and viral variants is essential to the outcome of the study.
Publication Date: 2018-12-18 PubMed ID: 30619900PubMed Central: PMC6305279DOI: 10.3389/fvets.2018.00318Google Scholar: Lookup
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  • Journal Article

Summary

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The article investigates whether elimination of horse brain RNA would improve the detection of West Nile Virus (WNV) without affecting the structure of the virus. Eight different methods of virus enrichment and host RNA separation were tested and compared. The study concluded that while RNA enrichment techniques would lead to a loss of virus in the face of host RNA depletion, the total sequence variation remained unchanged among the different methods. The research findings underscore the necessity of testing out diverse viral extraction and enrichment processes according to the tissue type before undertaking studies in which accurate counting and identification of virus and viral variants are critical.

Methodology

  • The study involved the use of archived horse brain tissue which was infected with the West Nile Virus (WNV) and then underwent homogenization prior to the process of enrichment and separation.
  • The researchers used eight distinct methods of viral RNA enrichment and host RNA separation. These protocols combined different techniques such as low-speed centrifugation, syringe filtration and nuclease treatment.
  • Real-time PCR targeting the WNV Envelope (E) protein and the equine G3PDH were used to analyze the virus and host RNA. This helped determine the relative sensitivity for WNV and host depletion.
  • Finally, to evaluate the impact of the enrichment and separation methods on the virus variation, deep sequencing of the E protein was performed.

Key Findings

  • Application of additional separation and enrichment techniques led to a loss of the virus while the host RNA was being depleted.
  • Despite the loss of the virus, DNA sequencing revealed no significant changes in the total sequence variation between the different RNA enrichment methodologies employed.
  • The researchers recognized that for horse brain infections with WNV, direct RNA extraction followed by host RNA depletion proved to be the most effective approach.

Implications

  • The research highlights the need for careful consideration of the viral enrichment and separation methodologies used in studies, especially those where an accurate quantification of the virus and its variants are crucial to obtaining meaningful results.
  • It emphasizes that such methodologies should be selected based on the tissue type being used in the study, to minimize possible errors and elicit more accurate and valid results.

Cite This Article

APA
Prakoso D, Dark MJ, Barbet AF, Salemi M, Barr KL, Liu JJ, Wenzlow N, Waltzek TB, Long MT. (2018). Viral Enrichment Methods Affect the Detection but Not Sequence Variation of West Nile Virus in Equine Brain Tissue. Front Vet Sci, 5, 318. https://doi.org/10.3389/fvets.2018.00318

Publication

ISSN: 2297-1769
NlmUniqueID: 101666658
Country: Switzerland
Language: English
Volume: 5
Pages: 318
PII: 318

Researcher Affiliations

Prakoso, Dhani
  • Department of Comparative, Diagnostic and Population Medicine, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States.
Dark, Michael J
  • Department of Comparative, Diagnostic and Population Medicine, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States.
Barbet, Anthony F
  • Department of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States.
Salemi, Marco
  • Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL, United States.
Barr, Kelli L
  • Department of Biology, Baylor University, Waco, TX, United States.
Liu, Junjie J
  • Department of Comparative, Diagnostic and Population Medicine, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States.
Wenzlow, Nanny
  • Department of Pathology and Microbiology, Faculty of Veterinary Medicine, University of Montreal, Saint-Hyacinthe, QC, Canada.
Waltzek, Thomas B
  • Department of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States.
Long, Maureen T
  • Department of Comparative, Diagnostic and Population Medicine, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States.

References

This article includes 37 references
  1. CDC Statistics and Maps. Atlanta, GA: Centers for Disease Control and Prevention; (2016).
  2. USDA Equine West Nile Virus Case Reporting and Surveillance Information. Riverdale, MD: United States Department of Agriculture; (2016).
  3. May FJ, Davis CT, Tesh RB, Barrett AD. Phylogeography of West Nile virus: from the cradle of evolution in Africa to Eurasia, Australia, and the Americas.. J Virol 2011 Mar;85(6):2964-74.
    doi: 10.1128/JVI.01963-10pmc: PMC3067944pubmed: 21159871google scholar: lookup
  4. Davis CT, Ebel GD, Lanciotti RS, Brault AC, Guzman H, Siirin M, Lambert A, Parsons RE, Beasley DW, Novak RJ, Elizondo-Quiroga D, Green EN, Young DS, Stark LM, Drebot MA, Artsob H, Tesh RB, Kramer LD, Barrett AD. Phylogenetic analysis of North American West Nile virus isolates, 2001-2004: evidence for the emergence of a dominant genotype.. Virology 2005 Nov 25;342(2):252-65.
    doi: 10.1016/j.virol.2005.07.022pubmed: 16137736google scholar: lookup
  5. McMullen AR, May FJ, Li L, Guzman H, Bueno R Jr, Dennett JA, Tesh RB, Barrett AD. Evolution of new genotype of West Nile virus in North America.. Emerg Infect Dis 2011 May;17(5):785-93.
    doi: 10.3201/eid1705.101707pmc: PMC3321787pubmed: 21529385google scholar: lookup
  6. Bakonyi T, Ferenczi E, Erdélyi K, Kutasi O, Csörgő T, Seidel B, Weissenböck H, Brugger K, Bán E, Nowotny N. Explosive spread of a neuroinvasive lineage 2 West Nile virus in Central Europe, 2008/2009.. Vet Microbiol 2013 Jul 26;165(1-2):61-70.
    doi: 10.1016/j.vetmic.2013.03.005pubmed: 23570864google scholar: lookup
  7. Ciota AT, Lovelace AO, Jones SA, Payne A, Kramer LD. Adaptation of two flaviviruses results in differences in genetic heterogeneity and virus adaptability.. J Gen Virol 2007 Sep;88(Pt 9):2398-2406.
    doi: 10.1099/vir.0.83061-0pmc: PMC3249635pubmed: 17698648google scholar: lookup
  8. Jerzak G, Bernard KA, Kramer LD, Ebel GD. Genetic variation in West Nile virus from naturally infected mosquitoes and birds suggests quasispecies structure and strong purifying selection.. J Gen Virol 2005 Aug;86(Pt 8):2175-2183.
    doi: 10.1099/vir.0.81015-0pmc: PMC2440486pubmed: 16033965google scholar: lookup
  9. Jerzak GV, Bernard K, Kramer LD, Shi PY, Ebel GD. The West Nile virus mutant spectrum is host-dependant and a determinant of mortality in mice.. Virology 2007 Apr 10;360(2):469-76.
    doi: 10.1016/j.virol.2006.10.029pmc: PMC1934562pubmed: 17134731google scholar: lookup
  10. Frost MJ, Zhang J, Edmonds JH, Prow NA, Gu X, Davis R, Hornitzky C, Arzey KE, Finlaison D, Hick P, Read A, Hobson-Peters J, May FJ, Doggett SL, Haniotis J, Russell RC, Hall RA, Khromykh AA, Kirkland PD. Characterization of virulent West Nile virus Kunjin strain, Australia, 2011.. Emerg Infect Dis 2012 May;18(5):792-800.
    doi: 10.3201/eid1805.111720pmc: PMC3358055pubmed: 22516173google scholar: lookup
  11. 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 Jun;12(6):e1006111.
  12. Brault AC, Huang CY, Langevin SA, Kinney RM, Bowen RA, Ramey WN, Panella NA, Holmes EC, Powers AM, Miller BR. A single positively selected West Nile viral mutation confers increased virogenesis in American crows.. Nat Genet 2007 Sep;39(9):1162-6.
    doi: 10.1038/ng2097pmc: PMC2291521pubmed: 17694056google scholar: lookup
  13. Bowen RA, Nemeth NM. Experimental infections with West Nile virus.. Curr Opin Infect Dis 2007 Jun;20(3):293-7.
    doi: 10.1097/QCO.0b013e32816b5cadpubmed: 17471040google scholar: lookup
  14. Cantile C, Del Piero F, Di Guardo G, Arispici M. Pathologic and immunohistochemical findings in naturally occuring West Nile virus infection in horses.. Vet Pathol 2001 Jul;38(4):414-21.
    doi: 10.1354/vp.38-4-414pubmed: 11467475google scholar: lookup
  15. Seino KK, Long MT, Gibbs EP, Bowen RA, Beachboard SE, Humphrey PP, Dixon MA, Bourgeois MA. Comparative efficacies of three commercially available vaccines against West Nile Virus (WNV) in a short-duration challenge trial involving an equine WNV encephalitis model.. Clin Vaccine Immunol 2007 Nov;14(11):1465-71.
    doi: 10.1128/CVI.00249-07pmc: PMC2168174pubmed: 17687109google scholar: lookup
  16. Bunning ML, Bowen RA, Cropp CB, Sullivan KG, Davis BS, Komar N, Godsey MS, Baker D, Hettler DL, Holmes DA, Biggerstaff BJ, Mitchell CJ. Experimental infection of horses with West Nile virus.. Emerg Infect Dis 2002 Apr;8(4):380-6.
    doi: 10.3201/eid0804.010239pmc: PMC3393377pubmed: 11971771google scholar: lookup
  17. SOUTHAM CM, MOORE AE. Induced virus infections in man by the Egypt isolates of West Nile virus.. Am J Trop Med Hyg 1954 Jan;3(1):19-50.
    doi: 10.4269/ajtmh.1954.3.19pubmed: 13114588google scholar: lookup
  18. Daly GM, Bexfield N, Heaney J, Stubbs S, Mayer AP, Palser A, Kellam P, Drou N, Caccamo M, Tiley L, Alexander GJ, Bernal W, Heeney JL. A viral discovery methodology for clinical biopsy samples utilising massively parallel next generation sequencing.. PLoS One 2011;6(12):e28879.
  19. Hall RJ, Wang J, Todd AK, Bissielo AB, Yen S, Strydom H, Moore NE, Ren X, Huang QS, Carter PE, Peacey M. Evaluation of rapid and simple techniques for the enrichment of viruses prior to metagenomic virus discovery.. J Virol Methods 2014 Jan;195:194-204.
  20. Marston DA, McElhinney LM, Ellis RJ, Horton DL, Wise EL, Leech SL, David D, de Lamballerie X, Fooks AR. Next generation sequencing of viral RNA genomes.. BMC Genomics 2013 Jul 4;14:444.
    doi: 10.1186/1471-2164-14-444pmc: PMC3708773pubmed: 23822119google scholar: lookup
  21. Victoria JG, Kapoor A, Dupuis K, Schnurr DP, Delwart EL. Rapid identification of known and new RNA viruses from animal tissues.. PLoS Pathog 2008 Sep 26;4(9):e1000163.
  22. Dupinay T, Pounder KC, Ayral F, Laaberki MH, Marston DA, Lacôte S, Rey C, Barbet F, Voller K, Nazaret N, Artois M, Marianneau P, Lachuer J, Fooks AR, Pépin M, Legras-Lachuer C, McElhinney LM. Detection and genetic characterization of Seoul virus from commensal brown rats in France.. Virol J 2014 Feb 20;11:32.
    doi: 10.1186/1743-422X-11-32pmc: PMC3944734pubmed: 24555484google scholar: lookup
  23. Team RDC. R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing; (2008).
  24. Schroeder A, Mueller O, Stocker S, Salowsky R, Leiber M, Gassmann M, Lightfoot S, Menzel W, Granzow M, Ragg T. The RIN: an RNA integrity number for assigning integrity values to RNA measurements.. BMC Mol Biol 2006 Jan 31;7:3.
    doi: 10.1186/1471-2199-7-3pmc: PMC1413964pubmed: 16448564google scholar: lookup
  25. Kauffman EB, Franke MA, Wong SJ, Kramer LD. Detection of West Nile virus.. Methods Mol Biol 2011;665:383-413.
    doi: 10.1007/978-1-60761-817-1_21pubmed: 21116812google scholar: lookup
  26. Lanciotti RS, Kerst AJ, Nasci RS, Godsey MS, Mitchell CJ, Savage HM, Komar N, Panella NA, Allen BC, Volpe KE, Davis BS, Roehrig JT. Rapid detection of west nile virus from human clinical specimens, field-collected mosquitoes, and avian samples by a TaqMan reverse transcriptase-PCR assay.. J Clin Microbiol 2000 Nov;38(11):4066-71.
  27. Peters IR, Peeters D, Helps CR, Day MJ. Development and application of multiple internal reference (housekeeper) gene assays for accurate normalisation of canine gene expression studies.. Vet Immunol Immunopathol 2007 May 15;117(1-2):55-66.
    doi: 10.1016/j.vetimm.2007.01.011pubmed: 17346803google scholar: lookup
  28. Long MT, Gibbs EP, Mellencamp MW, Bowen RA, Seino KK, Zhang S, Beachboard SE, Humphrey PP. Efficacy, duration, and onset of immunogenicity of a West Nile virus vaccine, live Flavivirus chimera, in horses with a clinical disease challenge model.. Equine Vet J 2007 Nov;39(6):491-7.
    doi: 10.2746/042516407X217416pubmed: 18065305google scholar: lookup
  29. Afgan E, Baker D, van den Beek M, Blankenberg D, Bouvier D, Čech M, Chilton J, Clements D, Coraor N, Eberhard C, Grüning B, Guerler A, Hillman-Jackson J, Von Kuster G, Rasche E, Soranzo N, Turaga N, Taylor J, Nekrutenko A, Goecks J. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update.. Nucleic Acids Res 2016 Jul 8;44(W1):W3-W10.
    doi: 10.1093/nar/gkw343pmc: PMC4987906pubmed: 27137889google scholar: lookup
  30. Blankenberg D, Gordon A, Von Kuster G, Coraor N, Taylor J, Nekrutenko A. Manipulation of FASTQ data with Galaxy.. Bioinformatics 2010 Jul 15;26(14):1783-5.
  31. Joshi N, Fass J. Sickle: A Sliding-Window, Adaptive, Quality-Based Trimming Tool for FastQ Files. 1.33 ed. Davis, CA: Software program; (2011).
  32. Langmead B, Trapnell C, Pop M, Salzberg SL. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.. Genome Biol 2009;10(3):R25.
    doi: 10.1186/gb-2009-10-3-r25pmc: PMC2690996pubmed: 19261174google scholar: lookup
  33. Yang X, Charlebois P, Macalalad A, Henn MR, Zody MC. V-Phaser 2: variant inference for viral populations.. BMC Genomics 2013 Oct 3;14:674.
    doi: 10.1186/1471-2164-14-674pmc: PMC3907024pubmed: 24088188google scholar: lookup
  34. Salemi M, Rife B. Phylogenetics and Phyloanatomy of HIV/SIV Intra-Host Compartments and Reservoirs: The Key Role of the Central Nervous System.. Curr HIV Res 2016;14(2):110-20.
  35. Bons E, Regoes RR. Virus dynamics and phyloanatomy: Merging population dynamic and phylogenetic approaches.. Immunol Rev 2018 Sep;285(1):134-146.
    doi: 10.1111/imr.12688pubmed: 30129202google scholar: lookup
  36. Blitvich BJ, Fernández-Salas I, Contreras-Cordero JF, Loroño-Pino MA, Marlenee NL, Díaz FJ, González-Rojas JI, Obregón-Martínez N, Chiu-García JA, Black WC 4th, Beaty BJ. Phylogenetic analysis of West Nile virus, Nuevo Leon State, Mexico.. Emerg Infect Dis 2004 Jul;10(7):1314-7.
    doi: 10.3201/eid1007.030959pmc: PMC3323327pubmed: 15324558google scholar: lookup
  37. Zaayman D, Human S, Venter M. A highly sensitive method for the detection and genotyping of West Nile virus by real-time PCR.. J Virol Methods 2009 May;157(2):155-60.

Citations

This article has been cited 1 times.
  1. Cerutti F, Giorda F, Grattarola C, Mignone W, Beltramo C, Keck N, Lorusso A, Di Francesco G, Di Renzo L, Di Guardo G, Goria M, Masoero L, Acutis PL, Casalone C, Peletto S. Specific capture and whole-genome phylogeography of Dolphin morbillivirus.. Sci Rep 2020 Nov 30;10(1):20831.
    doi: 10.1038/s41598-020-77835-zpubmed: 33257791google scholar: lookup