Between roost contact is essential for maintenance of European bat lyssavirus type-2 in Myotis daubentonii bat reservoir: 'The Swarming Hypothesis'

被引:11
|
作者
Horton, Daniel L. [1 ,2 ]
Breed, Andrew C. [1 ,3 ,4 ]
Arnold, Mark E. [1 ]
Smith, Graham C. [5 ]
Aegerter, James N. [5 ]
McElhinney, Lorraine M. [1 ,6 ]
Johnson, Nick [1 ,2 ]
Banyard, Ashley C. [1 ]
Raynor, Robert [7 ]
Mackie, Iain [8 ]
Denwood, Matthew J. [9 ]
Mellor, Dominic J. [9 ,10 ]
Swift, Sue [8 ]
Racey, Paul A. [8 ]
Fooks, Anthony R. [1 ,6 ]
机构
[1] Anim & Plant Hlth Agcy Weybridge, Surrey KT15 3NB, England
[2] Univ Surrey, Sch Vet Med, Daphne Jackson Rd, Guildford GU2 7AL, Surrey, England
[3] Univ Queensland, Sch Vet Sci, Brisbane, Qld, Australia
[4] Dept Agr Water & Environm, Epidemiol & One Hlth Sect, Canberra, ACT, Australia
[5] Anim & Plant Hlth Agcy, Natl Wildlife Management Ctr, York YO41 1LZ, N Yorkshire, England
[6] Univ Liverpool, Inst Infect & Global Hlth, Liverpool, Merseyside, England
[7] Scottish Nat Heritage, Great Gen House,Leachkin Rd, Inverness IV3 8NW, Scotland
[8] Univ Aberdeen, Inst Biol & Environm Sci, Aberdeen AB24 2TZ, Scotland
[9] Univ Glasgow, Sch Vet Med, 464 Bearsden Rd, Glasgow G61 1QH, Lanark, Scotland
[10] Hlth Protect Scotland, 5 Cadogan St, Glasgow G2 6QE, Lanark, Scotland
关键词
RABIES VIRUS EXPOSURE; UNITED-STATES; HOST; SURVEILLANCE; DYNAMICS; TRANSMISSION; PATHOGENESIS; INFECTION; ECOLOGY; MODELS;
D O I
10.1038/s41598-020-58521-6
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Many high-consequence human and animal pathogens persist in wildlife reservoirs. An understanding of the dynamics of these pathogens in their reservoir hosts is crucial to inform the risk of spill-over events, yet our understanding of these dynamics is frequently insufficient. Viral persistence in a wild bat population was investigated by combining empirical data and in-silico analyses to test hypotheses on mechanisms for viral persistence. A fatal zoonotic virus, European Bat lyssavirus type 2 (EBLV-2), in Daubenton's bats (Myotis daubentonii) was used as a model system. A total of 1839 M. daubentonii were sampled for evidence of virus exposure and excretion during a prospective nine year serial cross-sectional survey. Multivariable statistical models demonstrated age-related differences in seroprevalence, with significant variation in seropositivity over time and among roosts. An Approximate Bayesian Computation approach was used to model the infection dynamics incorporating the known host ecology. The results demonstrate that EBLV-2 is endemic in the study population, and suggest that mixing between roosts during seasonal swarming events is necessary to maintain EBLV-2 in the population. These findings contribute to understanding how bat viruses can persist despite low prevalence of infection, and why infection is constrained to certain bat species in multispecies roosts and ecosystems.
引用
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页数:9
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