Linked Mutations in the Ebola Virus Polymerase Are Associated with Organ Specific Phenotypes.

Xiaofeng Dong, Julia Tree, Logan Banadyga, Shihua He, Wenjun Zhu, Tom Tipton, Jade Gouriet, Xiangguo Qiu, Michael J Elmore, Yper Hall, Miles Carroll, Julian A Hiscox
Author Information
  1. Xiaofeng Dong: Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom.
  2. Julia Tree: UK-Health Security Agency, Salisbury, United Kingdom.
  3. Logan Banadyga: Special Pathogens Program, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Canada.
  4. Shihua He: Special Pathogens Program, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Canada.
  5. Wenjun Zhu: Special Pathogens Program, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Canada.
  6. Tom Tipton: UK-Health Security Agency, Salisbury, United Kingdom.
  7. Jade Gouriet: UK-Health Security Agency, Salisbury, United Kingdom.
  8. Xiangguo Qiu: Special Pathogens Program, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Canada.
  9. Michael J Elmore: UK-Health Security Agency, Salisbury, United Kingdom.
  10. Yper Hall: UK-Health Security Agency, Salisbury, United Kingdom.
  11. Miles Carroll: Wellcome Centre for Human Genetics, Nuffield Department of Medicine, Oxford University, Oxford, United Kingdom.
  12. Julian A Hiscox: Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom. ORCID

Abstract

Ebola virus (EBOV) causes a severe infection called Ebola virus disease (EVD). The pathogenesis of EBOV infection is complex, and outcome has been associated with a variety of immunological and cellular factors. Disease can result from several mechanisms, including direct organ and endothelial cell damage as a result of viral replication. During the2013 to 2016 Western Africa EBOV outbreak, several mutants emerged, with changes in the genes of nucleoprotein (NP), glycoprotein (GP), and the large (L) protein. Reverse genetic analysis has been used to investigate whether these mutations played any role in pathogenesis with mixed results depending on the experimental system used. Previous studies investigated the impact of three single nonsynonymous mutations (GP-A82V, NP-R111C, and L-D759G) on the fatality rate of mouse and ferret models and suggested that the L-D759G mutation decreased the virulence of EBOV. In this study, the effect of these three mutations was further evaluated by deep sequencing to determine viral population genetics and the host response in longitudinal samples of blood, liver, kidney, spleen, and lung tissues taken from the previous ferret model. The data indicated that the mutations were maintained in the different tissues, but the frequency of minor genomic mutations were different. In addition, compared to wild-type virus, the recombinant mutants had different within host effects, where the D759G (and accompanying Q986H) substitution in the L protein resulted in an upregulation of the immune response in the kidney, liver, spleen, and lungs. Together these studies provide insights into the biology of EBOV mutants both between and within hosts. Ebola virus infection can have dramatic effects on the human body which manifest in Ebola virus disease. The outcome of infection is either survival or death and in the former group with the potential of longer-term health consequences and persistent infection. Disease severity is undoubtedly associated with the host response, often with overt inflammatory responses correlated with poorer outcomes. The scale of the2013 to 2016 Western African Ebola virus outbreak revealed new aspects of viral biology. This included the emergence of mutants with potentially altered virulence. Biobanked tissue from ferret models of EBOV infected with different mutants that emerged in the Western Africa outbreak was used to investigate the effect of EBOV genomic variation in different tissues. Overall, the work provided insights into the population genetics of EBOV and showed that different organs in an animal model can respond differently to variants of EBOV.

Keywords

References

  1. Nature. 2015 Aug 6;524(7563):97-101 [PMID: 26083749]
  2. Genome Biol. 2014;15(11):540 [PMID: 25416632]
  3. Proc Natl Acad Sci U S A. 2015 Apr 14;112(15):4719-24 [PMID: 25775592]
  4. Genome Med. 2021 Jan 11;13(1):5 [PMID: 33430949]
  5. OMICS. 2012 May;16(5):284-7 [PMID: 22455463]
  6. Genome Biol. 2020 Sep 7;21(1):238 [PMID: 32894206]
  7. J Virol. 2017 Jan 3;91(2): [PMID: 27847361]
  8. Nature. 2017 Apr 20;544(7650):309-315 [PMID: 28405027]
  9. Genome Biol. 2017 Jan 19;18(1):4 [PMID: 28100256]
  10. J Infect Dis. 2015 Dec 1;212(11):1752-8 [PMID: 26002981]
  11. Nat Commun. 2021 Feb 24;12(1):1260 [PMID: 33627662]
  12. Nat Microbiol. 2017 Jul 17;2:17113 [PMID: 28715405]
  13. PLoS Med. 2016 Mar 01;13(3):e1001967 [PMID: 26930627]
  14. PLoS Negl Trop Dis. 2010 Oct 05;4(10): [PMID: 20957152]
  15. BMC Bioinformatics. 2008 Dec 29;9:559 [PMID: 19114008]
  16. Nat Methods. 2015 Apr;12(4):357-60 [PMID: 25751142]
  17. Nature. 2016 May 5;533(7601):100-4 [PMID: 27147028]
  18. mBio. 2014 Nov 04;5(6):e02011 [PMID: 25370495]
  19. Bioinformatics. 2014 Apr 1;30(7):923-30 [PMID: 24227677]
  20. Cell. 2016 Nov 3;167(4):1079-1087.e5 [PMID: 27814505]
  21. Clin Infect Dis. 2016 Nov 15;63(10):1353-1356 [PMID: 27585800]
  22. Cell. 2016 Nov 3;167(4):1088-1098.e6 [PMID: 27814506]
  23. BMC Genomics. 2022 Oct 15;23(1):703 [PMID: 36243706]
  24. J Comput Biol. 2013 Feb;20(2):113-23 [PMID: 23383997]
  25. ILAR J. 2022 Jan 7;61(1):62-71 [PMID: 33951727]
  26. N Engl J Med. 2015 Jun 18;372(25):2423-7 [PMID: 25950269]
  27. BMC Bioinformatics. 2018 Oct 16;19(1):380 [PMID: 30326833]
  28. J Virol. 2021 Nov 23;95(24):e0083321 [PMID: 34586862]
  29. Cell Rep. 2018 May 8;23(6):1806-1816 [PMID: 29742435]
  30. Front Immunol. 2021 Feb 19;11:599568 [PMID: 33679690]
  31. J Virol. 2018 Dec 10;93(1): [PMID: 30333174]
  32. Bioinformatics. 2009 Aug 15;25(16):2078-9 [PMID: 19505943]
  33. Vet Res. 2013 Mar 01;44:12 [PMID: 23452550]
  34. Lancet. 2016 Jul 30;388(10043):498-503 [PMID: 27209148]

Grants

  1. MR/W005611/1/Medical Research Council

Word Cloud

Created with Highcharts 10.0.0EBOVEbolavirusmutationsdifferentinfectionmutantscanviralWesternoutbreakusedferrethostresponsetissuesdiseasepathogenesisoutcomeassociatedDiseaseresultseveralthe20132016AfricaemergedLproteininvestigatestudiesthreeL-D759GmodelsvirulenceeffectpopulationgeneticsliverkidneyspleenmodelgenomicwithineffectsinsightsbiologycausesseverecalledEVDcomplexvarietyimmunologicalcellularfactorsmechanismsincludingdirectorganendothelialcelldamagereplicationchangesgenesnucleoproteinNPglycoproteinGPlargeReversegeneticanalysiswhetherplayedrolemixedresultsdependingexperimentalsystemPreviousinvestigatedimpactsinglenonsynonymousGP-A82VNP-R111Cfatalityratemousesuggestedmutationdecreasedstudyevaluateddeepsequencingdeterminelongitudinalsamplesbloodlungtakenpreviousdataindicatedmaintainedfrequencyminoradditioncomparedwild-typerecombinantD759GaccompanyingQ986HsubstitutionresultedupregulationimmunelungsTogetherprovidehostsdramatichumanbodymanifesteithersurvivaldeathformergrouppotentiallonger-termhealthconsequencespersistentseverityundoubtedlyoftenovertinflammatoryresponsescorrelatedpooreroutcomesscaleAfricanrevealednewaspectsincludedemergencepotentiallyalteredBiobankedtissueinfectedvariationOverallworkprovidedshowedorgansanimalresponddifferentlyvariantsLinkedMutationsVirusPolymeraseAssociatedOrganSpecificPhenotypesadaptivebioinformatics

Similar Articles

Cited By