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Virus genomes reveal factors that spread and sustained the Ebola epidemic

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Dudas, Gytis, Carvalho, Luiz Max, Bedford, Trevor, Tatem, Andrew J., Baele, Guy, Faria, Nuno R., Park, Daniel J., Ladner, Jason T., Arias, Armando, Asogun, Danny, Bielejec, Filip, Caddy, Sarah L., Cotten, Matthew, D’Ambrozio, Jonathan, Dellicour, Simon, Di Caro, Antonino, Diclaro, Joseph W., Duraffour, Sophie, Elmore, Michael J., Fakoli, Lawrence S., Faye, Ousmane, Gilbert, Merle L., Gevao, Sahr M., Gire, Stephen, Gladden-Young, Adrianne, Gnirke, Andreas, Goba, Augustine, Grant, Donald S., Haagmans, Bart L., Hiscox, Julian A., Jah, Umaru, Kugelman, Jeffrey R., Liu, Di, Lu, Jia, Malboeuf, Christine M., Mate, Suzanne, Matthews, David A., Matranga, Christian B., Meredith, Luke W., Qu, James, Quick, Joshua, Pas, Suzan D., Phan, My V. T., Pollakis, Georgios, Reusken, Chantal B., Sanchez-Lockhart, Mariano, Schaffner, Stephen F., Schieffelin, John S., Sealfon, Rachel S., Simon-Loriere, Etienne, Smits, Saskia L., Stoecker, Kilian, Thorne, Lucy, Tobin, Ekaete Alice, Vandi, Mohamed A., Watson, Simon J., West, Kendra, Whitmer, Shannon, Wiley, Michael R., Winnicki, Sarah M., Wohl, Shirlee, Wölfel, Roman, Yozwiak, Nathan L., Andersen, Kristian G., Blyden, Sylvia O., Bolay, Fatorma, Carroll, Miles W., Dahn, Bernice, Diallo, Boubacar, Formenty, Pierre, Fraser, Christophe, Gao, George F., Garry, Robert F., Goodfellow, Ian, Günther, Stephan, Happi, Christian T., Holmes, Edward C., Kargbo, Brima, Keïta, Sakoba, Kellam, Paul, Koopmans, Marion P. G., Kuhn, Jens H., Loman, Nicholas J., Magassouba, N’Faly, Naidoo, Dhamari, Nichol, Stuart T., Nyenswah, Tolbert, Palacios, Gustavo, Pybus, Oliver G., Sabeti, Pardis C., Sall, Amadou, Ströher, Ute, Wurie, Isatta, Suchard, Marc A., Lemey, Philippe, Rambaut, Andrew·2017·Nature

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Abstract

Summary The 2013-2016 epidemic of Ebola virus disease in West Africa was of unprecedented magnitude, duration and impact. Extensive collaborative sequencing projects have produced a large collection of over 1600 Ebola virus genomes, representing over 5% of known cases, unmatched for any single human epidemic. In this comprehensive analysis of this entire dataset, we reconstruct in detail the history of migration, proliferation and decline of Ebola virus throughout the region. We test the association of geography, climate, administrative boundaries, demography and culture with viral movement among 56 administrative regions. Our results show that during the outbreak viral lineages moved according to a classic ‘gravity’ model, with more intense migration between larger and more proximate population centers. Notably, we find that despite a strong attenuation of international dispersal after border closures, localized cross-border transmission beforehand had already set the seeds for an international epidemic, rendering these measures relatively ineffective in curbing the epidemic. We use this empirical evidence to address why the epidemic did not spread into neighboring countries, showing that although these regions were susceptible to developing significant outbreaks, they were also at lower risk of viral introductions. Finally, viral genome sequence data uniquely reveals this large epidemic to be a heterogeneous and spatially dissociated collection of transmission clusters of varying size, duration and connectivity. These insights will help inform approaches to intervention in such epidemics in the future.

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Research works printed but not linked: 47

  1. Kuhn, J. H. et al. Nomenclature- and database-compatible names for the two Ebola virus variants that emerged in Guinea and the Democratic Republic of the Congo in 2014. Viruses 6, 4760–4799 (2014) · DOI
  2. Goba, A. et al. An outbreak of Ebola virus disease in the Lassa fever zone. J. Infect. Dis. 214, S110–S121 (2016) · DOI
  3. Gire, S. K. et al. Genomic surveillance elucidates Ebola virus origin and transmission during the 2014 outbreak. Science 345, 1369–1372 (2014) · DOI · Paper page
  4. Dudas, G. & Rambaut, A. Phylogenetic analysis of Guinea 2014 EBOV Ebolavirus outbreak. PLoS Curr. 6, http://dx.doi.org/10.1371/currents.outbreaks.84eefe5ce43ec9dc0bf0670f7b8b417d (2014) · DOI
  5. Carroll, M. W. et al. Temporal and spatial analysis of the 2014–2015 Ebola virus outbreak in West Africa. Nature 524, 97–101 (2015) · DOI · Paper page
  6. Quick, J. et al. Real-time, portable genome sequencing for Ebola surveillance. Nature 530, 228–232 (2016) · DOI · Paper page
  7. Blackley, D. J. et al. Reduced evolutionary rate in reemerged Ebola virus transmission chains. Sci. Adv. 2, e1600378 (2016) · DOI
  8. Mate, S. E. et al. Molecular evidence of sexual transmission of Ebola virus. N. Engl. J. Med. 373, 2448–2454 (2015) · DOI · Paper page
  9. Simon-Loriere, E. et al. Distinct lineages of Ebola virus in Guinea during the 2014 West African epidemic. Nature 524, 102–104 (2015) · DOI
  10. Arias, A . et al. Rapid outbreak sequencing of Ebola virus in Sierra Leone identifies transmission chains linked to sporadic cases. Virus Evol. 2, vew016 (2016) · DOI
  11. Park, D. J. et al. Ebola virus epidemiology, transmission, and evolution during seven months in Sierra Leone. Cell 161, 1516–1526 (2015) · DOI · Paper page
  12. Kugelman, J. R. et al. Monitoring of Ebola virus Makona evolution through establishment of advanced genomic capability in Liberia. Emerg. Infect. Dis. 21, 1135–1143 (2015) · DOI
  13. Ladner, J. T. et al. Evolution and spread of Ebola virus in Liberia, 2014–2015. Cell Host Microbe 18, 659–669 (2015) · DOI
  14. Lemey, P. et al. Unifying viral genetics and human transportation data to predict the global transmission dynamics of human influenza H3N2. PLoS Pathog. 10, e1003932 (2014) · DOI · Paper page
  15. Viboud, C. et al. Synchrony, waves, and spatial hierarchies in the spread of influenza. Science 312, 447–451 (2006) · DOI · Paper page
  16. Truscott, J. & Ferguson, N. M. Evaluating the adequacy of gravity models as a description of human mobility for epidemic modelling. PLOS Comput. Biol. 8, e1002699 (2012) · DOI
  17. Yang, W. et al. Transmission network of the 2014–2015 Ebola epidemic in Sierra Leone. J. R. Soc. Interface 12, 20150536 (2015) · DOI
  18. Fischer, R. et al. Ebola virus stability on surfaces and in fluids in simulated outbreak environments. Emerg. Infect. Dis. 21, 1243–1246 (2015) · doi:10.3201/eid2107.150253
  19. Bausch, D. G. & Schwarz, L. Outbreak of Ebola virus disease in Guinea: where ecology meets economy. PLoS Negl. Trop. Dis. 8, e3056 (2014) · DOI · Paper page
  20. Chan, M. Ebola virus disease in West Africa—no early end to the outbreak. N. Engl. J. Med. 371, 1183–1185 (2014) · DOI · Paper page
  21. Wesolowski, A. et al. Commentary: containing the Ebola outbreak—the potential and challenge of mobile network data. PLoS Curr. 6, http://dx.doi.org/10.1371/currents.outbreaks.0177e7fcf52217b8b634376e2f3efc5e (2014) · DOI · Paper page
  22. Goodfellow, I., Reusken, C. & Koopmans, M. Laboratory support during and after the Ebola virus endgame: towards a sustained laboratory infrastructure. Euro Surveill. 20, 21074 (2015) · doi:10.2807/1560-7917.es2015.20.12.21074
  23. Folarin, O. A. et al. Ebola virus epidemiology and evolution in Nigeria. J. Infect. Dis. 214, S102–S109 (2016) · DOI
  24. Abdoulaye, B. et al. Experience on the management of the first imported Ebola virus disease case in Senegal. Pan Afr. Med. J. 22, 6 (2015) · doi:10.11604/pamj.supp.2015.22.1.6109
  25. Whitmer, S. L. M. et al. Preliminary evaluation of the effect of investigational Ebola virus disease treatments on viral genome sequences. J. Infect. Dis. 214, S333–S341 (2016) · DOI
  26. Xia, Y., Bjørnstad, O. N. & Grenfell, B. T. Measles metapopulation dynamics: a gravity model for epidemiological coupling and dynamics. Am. Nat. 164, 267–281 (2004) · DOI · Paper page
  27. Ferrari, M. J. et al. The dynamics of measles in sub-Saharan Africa. Nature 451, 679–684 (2008) · DOI · Paper page
  28. Gardy, J., Loman, N. J. & Rambaut, A. Real-time digital pathogen surveillance — the time is now. Genome Biol. 16, 155 (2015) · DOI
  29. Yozwiak, N. L., Schaffner, S. F. & Sabeti, P. C. Data sharing: make outbreak research open access. Nature 518, 477–479 (2015) · DOI
  30. Woolhouse, M. E. J., Rambaut, A. & Kellam, P. Lessons from Ebola: improving infectious disease surveillance to inform outbreak management. Sci. Transl. Med. 7, 307rv5 (2015) · DOI
  31. Stadler, T., Kühnert, D., Rasmussen, D. A. & du Plessis, L. Insights into the early epidemic spread of Ebola in Sierra Leone provided by viral sequence data. PLoS Curr. 6, http://dx.doi.org/10.1371/currents.outbreaks.02bc6d927ecee7bbd33532ec8ba6a25f (2014) · DOI
  32. Tong, Y.-G. et al. Genetic diversity and evolutionary dynamics of Ebola virus in Sierra Leone. Nature 524, 93–96 (2015) · DOI · Paper page
  33. Diallo, B. et al. Resurgence of Ebola virus disease in Guinea linked to a survivor with virus persistence in seminal fluid for more than 500 days. Clin. Infect. Dis. 63, 1353–1356 (2016) · DOI · Paper page
  34. Rowe, A. K. et al. Clinical, virologic, and immunologic follow-up of convalescent Ebola hemorrhagic fever patients and their household contacts, Kikwit, Democratic Republic of the Congo. J. Infect. Dis. 179, S28–S35 (1999) · DOI · Paper page
  35. Gélinas, J.-F., Clerzius, G., Shaw, E. & Gatignol, A. Enhancement of replication of RNA viruses by ADAR1 via RNA editing and inhibition of RNA-activated protein kinase. J. Virol. 85, 8460–8466 (2011) · DOI
  36. Bass, B. L. & Weintraub, H. An unwinding activity that covalently modifies its double-stranded RNA substrate. Cell 55, 1089–1098 (1988) · DOI · Paper page
  37. Cattaneo, R. et al. Biased hypermutation and other genetic changes in defective measles viruses in human brain infections. Cell 55, 255–265 (1988) · DOI · Paper page
  38. Rueda, P., García-Barreno, B. & Melero, J. A. Loss of conserved cysteine residues in the attachment (G) glycoprotein of two human respiratory syncytial virus escape mutants that contain multiple A–G substitutions (hypermutations). Virology 198, 653–662 (1994) · DOI
  39. Carpenter, J. A., Keegan, L. P., Wilfert, L., O’Connell, M. A. & Jiggins, F. M. Evidence for ADAR-induced hypermutation of the Drosophila sigma virus (Rhabdoviridae). BMC Genet. 10, 75 (2009) · DOI
  40. Smits, S. L. et al. Genotypic anomaly in Ebola virus strains circulating in Magazine Wharf area, Freetown, Sierra Leone, 2015. Euro Surveill. 20, 30035 (2015) · DOI
  41. Gill, M. S. et al. Improving Bayesian population dynamics inference: a coalescent-based model for multiple loci. Mol. Biol. Evol. 30, 713–724 (2013) · DOI · Paper page
  42. Ferreira, M. A. R. & Suchard, M. A. Bayesian analysis of elapsed times in continuous-time Markov chains. Can. J. Stat. 36, 355–368 (2008) · DOI · Paper page
  43. Lemey, P ., Suchard, M. & Rambaut, A. Reconstructing the initial global spread of a human influenza pandemic: a Bayesian spatial-temporal model for the global spread of H1N1pdm. PLoS Curr. 1, RRN1031 (2009) · DOI
  44. Drummond, A. J., Suchard, M. A., Xie, D. & Rambaut, A. Bayesian phylogenetics with BEAUti and the BEAST 1.7. Mol. Biol. Evol. 29, 1969–1973 (2012) · DOI · Paper page
  45. Edwards, C. J. et al. Ancient hybridization and an Irish origin for the modern polar bear matriline. Curr. Biol. 21, 1251–1258 (2011) · DOI · Paper page
  46. Minin, V. N. & Suchard, M. A. Fast, accurate and simulation-free stochastic mapping. Phil. Trans. R. Soc. B 363, 3985–3995 (2008) · DOI · Paper page
  47. Bielejec, F., Lemey, P., Baele, G., Rambaut, A. & Suchard, M. A. Inferring heterogeneous evolutionary processes through time: from sequence substitution to phylogeography. Syst. Biol. 63, 493–504 (2014) · DOI

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Authors
Dudas, G., Carvalho, L. M., Bedford, T., Tatem, A. J., Baele, G., Faria, N. R., Park, D. J., Ladner, J. T., Arias, A., Asogun, D., Bielejec, F., Caddy, S. L., Cotten, M., D’Ambrozio, J., Dellicour, S., Di Caro, A., Diclaro, J. W., Duraffour, S., Elmore, M. J., Fakoli, L. S., Faye, O., Gilbert, M. L., Gevao, S. M., Gire, S., Gladden-Young, A., Gnirke, A., Goba, A., Grant, D. S., Haagmans, B. L., Hiscox, J. A., Jah, U., Kugelman, J. R., Liu, D., Lu, J., Malboeuf, C. M., Mate, S., Matthews, D. A., Matranga, C. B., Meredith, L. W., Qu, J., Quick, J., Pas, S. D., Phan, M. V. T., Pollakis, G., Reusken, C. B., Sanchez-Lockhart, M., Schaffner, S. F., Schieffelin, J. S., Sealfon, R. S., Simon-Loriere, E., Smits, S. L., Stoecker, K., Thorne, L., Tobin, E. A., Vandi, M. A., Watson, S. J., West, K., Whitmer, S., Wiley, M. R., Winnicki, S. M., Wohl, S., Wölfel, R., Yozwiak, N. L., Andersen, K. G., Blyden, S. O., Bolay, F., Carroll, M. W., Dahn, B., Diallo, B., Formenty, P., Fraser, C., Gao, G. F., Garry, R. F., Goodfellow, I., Günther, S., Happi, C. T., Holmes, E. C., Kargbo, B., Keïta, S., Kellam, P., Koopmans, M. P. G., Kuhn, J. H., Loman, N. J., Magassouba, N., Naidoo, D., Nichol, S. T., Nyenswah, T., Palacios, G., Pybus, O. G., Sabeti, P. C., Sall, A., Ströher, U., Wurie, I., Suchard, M. A., Lemey, P., & Rambaut, A.
Venue
Nature
Published
2017-04
Volume
544
Issue
7650
Pages
309-315
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2516104505
Cited by
405
References
6
FWCI
36.08
Type
journal article
Language
en
Open access
hybrid
Licence
www.springer.com/tdm (tdm)

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CoChat. (2026). Citation check: Virus genomes reveal factors that spread and sustained the Ebola epidemic. https://app.cochat.ai/papers/10.1038/nature22040
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Dudas, G., Carvalho, L. M., Bedford, T., Tatem, A. J., Baele, G., Faria, N. R., Park, D. J., Ladner, J. T., Arias, A., Asogun, D., Bielejec, F., Caddy, S. L., Cotten, M., D’Ambrozio, J., Dellicour, S., Di Caro, A., Diclaro, J. W., Duraffour, S., Elmore, M. J., . . . Rambaut, A. (2017). Virus genomes reveal factors that spread and sustained the Ebola epidemic. Nature. https://doi.org/10.1038/nature22040

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