Viral Zoonotic Risk Is Homogenous Among Taxonomic Orders of Mammalian and Avian Reservoir Hosts
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Viral zoonotic risk is homogenous among taxonomic orders of mammalian and avian reservoir hosts Nardus Mollentzea,1 and Daniel G. Streickera,b,1 aMedical Research Council–University of Glasgow Centre for Virus Research, Glasgow G61 1QH, United Kingdom; and bInstitute of Biodiversity, Animal Health and Comparative Medicine, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, United Kingdom Edited by Nils Chr. Stenseth, University of Oslo, Oslo, Norway, and approved March 9, 2020 (received for review November 6, 2019) The notion that certain animal groups disproportionately maintain of zoonotic transmission. Variation in the number of zoonoses and transmit viruses to humans due to broad-scale differences in among animal groups therefore arises as a consequence of their ecology, life history, and physiology currently influences global species richness (here, the “reservoir richness hypothesis”). For health surveillance and research in disease ecology, virology, and example, the preponderance of rodent- or bat-associated zoo- immunology. To directly test whether such “special reservoirs” of noses could reflect the large number of rodent and bat species zoonoses exist, we used literature searches to construct the largest relative to other mammalian groups (21). These hypotheses existing dataset of virus–reservoir relationships, consisting of the imply different management strategies. The special reservoir avian and mammalian reservoir hosts of 415 RNA and DNA viruses hypothesis would advocate fundamental research to define the along with their histories of human infection. Reservoir host ef- ecological or physiological trait profiles that explain the pro- fects on the propensity of viruses to have been reported as infect- pensity of certain hosts to harbor zoonoses, followed by targeted ing humans were rare and when present were restricted to one or surveillance or virus discovery in hosts with high-risk trait profiles. two viral families. The data instead support a largely host-neutral In contrast, the reservoir richness hypothesis would advocate explanation for the distribution of human-infecting viruses across broader surveillance and virus discovery, possibly proportionate to the animal orders studied. After controlling for higher baseline the local species richness of different animal groups, and would viral richness in mammals versus birds, the observed number of imply the need for deeper understanding of which features of virus zoonoses per animal order increased as a function of their species biology enhance zoonotic transmission. richness. Animal orders of established importance as zoonotic res- Identifying patterns in the animal origins of zoonoses has been ECOLOGY ervoirs including bats and rodents were unexceptional, maintain- ing numbers of zoonoses that closely matched expectations for frustrated by disconnects between the key outcome of interest, mammalian groups of their size. Our findings show that variation the likelihood of zoonotic transmission, and currently available in the frequency of zoonoses among animal orders can be data which document viral infection in human and nonhuman explained without invoking special ecological or immunological hosts but provide limited information on the origins of these relationships between hosts and viruses, pointing to a need to infections. For example, humans may infect nonhuman hosts, reconsider current approaches aimed at finding and predicting rather than the other way around, but only the latter direction of novel zoonoses. transmission is pertinent to zoonotic origins. A greater challenge is that the reservoir host species that maintain and transmit infectious disease | reservoir | surveillance | generalized additive model Significance ost emerging infectious diseases of humans are viruses that Moriginate from nonhuman animals via “zoonotic” trans- Identifying whether novel human viruses disproportionately mission (1–3). Given the diversity of animals and viruses in na- originate from certain animal groups could inform risk-based ture, targeting virus discovery, surveillance, and research toward allocations of research and surveillance effort. Whether such the taxonomic groups with the highest propensity to infect humans “special reservoirs” exist remains controversial. We show that would benefit attempts to mitigate future disease outbreaks (4–7). the proportion of viruses that infect humans varies minimally Identifying these groups remains a major challenge. Viruses with across reservoir taxonomic orders. Instead, the number of RNA genomes are overrepresented as zoonoses and certain human-infecting viruses increases proportionately to the total families including Filoviridae, Orthomyxoviridae, and Togaviridae number of viruses maintained by each reservoir group, which is contain a large proportion of zoonotic species (8, 9). Among in turn explained by the number of animal species within each hosts, however, patterns are less clear. Large-scale comparative group. This supports a host-neutral explanation for observed studies have suggested that barriers to cross-species transmission variation in the number of zoonoses among animal groups, increase with evolutionary divergence from humans, implying such that traits of animal orders are unlikely to produce viruses heightened zoonotic risk from closely related nonhuman pri- that disproportionately threaten humans. These findings refine mates (9, 10). Yet, other animal groups including bats, rodents, strategies to identify high-risk viruses prior to their emergence. and ungulates are also frequently associated with zoonoses de- – Author contributions: N.M. and D.G.S. designed research; N.M. and D.G.S. performed spite their evolutionary distance from humans (9, 11 13). A research; N.M. analyzed data; and N.M. and D.G.S. wrote the paper. popular explanation (here, the “special reservoir hypothesis”)is The authors declare no competing interest. that physiological or ecological traits of these taxa make them This article is a PNAS Direct Submission. more likely to maintain zoonotic viruses or transmit them to This open access article is distributed under Creative Commons Attribution License 4.0 humans. For example, ungulates and rodents include domesti- (CC BY). cated or anthropophilic species whose high ecological overlap Data deposition: The data and analysis code reported in this manuscript have been de- with humans could facilitate pathogen exchange (13, 14). In posited in Zenodo (https://doi.org/10.5281/zenodo.3516613). contrast, the unique life history of bats has been hypothesized to 1To whom correspondence may be addressed. Email: [email protected] or create an evolutionarily distinct immunological environment that [email protected]. selects for viral traits that favor human infection (15–20). An This article contains supporting information online at https://www.pnas.org/lookup/suppl/ alternative to the special reservoir hypothesis is that host species doi:10.1073/pnas.1919176117/-/DCSupplemental. maintain a similar number of viruses with a similar per-virus risk First published April 13, 2020. www.pnas.org/cgi/doi/10.1073/pnas.1919176117 PNAS | April 28, 2020 | vol. 117 | no. 17 | 9423–9430 Downloaded by guest on September 30, 2021 viruses to humans can rarely be distinguished from species that B). Other groups including carnivores and odd-toed ungulates form a larger community of “dead-end” hosts that are inconse- had smaller, but more balanced, viral communities (Fig. 1B). quential to transmission (22, 23). Rather than reflecting genuine Both the number and the proportion of zoonotic virus species imbalances in the animal origins of human infections, associa- appeared to differ among reservoir groups, although the 95% CI tions between certain animal groups and zoonotic viruses based of proportions overlapped in most cases (Fig. 1C). The taxo- on shared detections might instead emerge from heightened nomic distribution of zoonoses within host groups was highly surveillance for or susceptibility to zoonotic viruses in these skewed (Fig. 1A). For example, 50% of zoonotic bat viruses were groups even if they are not key components of natural trans- rhabdoviruses and 53.7% of zoonotic rodent viruses were han- mission cycles. As the known diversity of viruses expands, the taviruses or arenaviruses, reinforcing the need to account for increasing difficulty of differentiating related viruses in different virus taxonomy to avoid detecting effects of reservoirs on zoo- host species from the same virus transmitted between these host notic status that would be unlikely to generalize across bat or species would exacerbate this effect by overestimating viral shar- rodent viruses (SI Appendix, Fig. S1). ing, particularly if relying on serological or PCR data alone (24). We next used generalized additive mixed models with zoonotic Given this uncertainty in the reservoir hosts of most viruses at status as a binary response variable to identify and rank the host the species level, an alternative approach to resolving whether and/or viral traits that influenced the zoonotic status of viruses. animal host associations influence zoonotic risk would be to When ranking models using the Akaike information criterion assess reservoir associations at lower taxonomic resolutions. (AIC), the top model explained a total of 52.3% of deviance in Such analyses would take advantage of the tendency for viruses zoonotic status (Fig. 2A). This model contained several pre- to be maintained