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Tonelli A, Caceres-Escobar H, Blagrove MSC, Wardeh M, Di Marco M. Identifying life-history patterns along the fast-slow continuum of mammalian viral carriers. ROYAL SOCIETY OPEN SCIENCE 2024; 11:231512. [PMID: 39050720 PMCID: PMC11265862 DOI: 10.1098/rsos.231512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 05/22/2024] [Indexed: 07/27/2024]
Abstract
Life-history traits have been identified as major indicators of mammals' susceptibility and exposure to viruses due to evolutionary constraints that link life-history speed with species' ecology and immunity. Nonetheless, it is unclear where along the fast-slow continuum of mammalian life-history lies the greatest diversity of host species. Consequently, life-history patterns that govern host-virus associations remain largely unknown. Here we analyse the virome of 1350 wild mammals and detect the characteristics that drive species' compatibility with different groups of viruses. We highlight that mammals with larger body size and either very rapid or very slow life histories are more likely to carry different groups of viruses, particularly zoonotic ones. While some common life-history patterns emerge across carriers, eco-evolutionary characteristics of viral groups appear to determine association with certain carrier species. Our findings underline the importance of incorporating both mammals' life-history information and viruses' ecological diversity into surveillance strategies to identify potential zoonotic carriers in wildlife.
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Affiliation(s)
- Andrea Tonelli
- Department of Biology and Biotechnologies ‘Charles Darwin’, Sapienza University of Rome, Rome, Italy
| | - Hernan Caceres-Escobar
- Department of Biology and Biotechnologies ‘Charles Darwin’, Sapienza University of Rome, Rome, Italy
- Facultad de Medicina Veterinaria y Agronomía, campus Providencia, Universidad de las Américas, Santiago, Chile
| | - Marcus S. C. Blagrove
- Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
| | - Maya Wardeh
- Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
- Department of Computer Science, University of Liverpool, Liverpool, UK
| | - Moreno Di Marco
- Department of Biology and Biotechnologies ‘Charles Darwin’, Sapienza University of Rome, Rome, Italy
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2
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Mendoza H, López-Pérez AM, Rubio AV, Barrón-Rodríguez JJ, Mazari-Hiriart M, Pontifes PA, Dirzo R, Suzán G. Association between anthropization and rodent reservoirs of zoonotic pathogens in Northwestern Mexico. PLoS One 2024; 19:e0298976. [PMID: 38386681 PMCID: PMC10883555 DOI: 10.1371/journal.pone.0298976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 02/01/2024] [Indexed: 02/24/2024] Open
Abstract
The world is facing a major pulse of ecological and social changes that may favor the risk of zoonotic outbreaks. Such risk facilitation may occur through the modification of the host's community diversity and structure, leading to an increase in pathogen reservoirs and the contact rate between these reservoirs and humans. Here, we examined whether anthropization alters the relative abundance and richness of zoonotic reservoir and non-reservoir rodents in three Socio-Ecological Systems. We hypothesized that anthropization increases the relative abundance and richness of rodent reservoirs while decreasing non-reservoir species. We first developed an Anthropization index based on 15 quantitative socio-ecological variables classified into five groups: 1) Vegetation type, 2) Urbanization degree, 3) Water quality, 4) Potential contaminant sources, and 5) Others. We then monitored rodent communities in three regions of Northwestern Mexico (Baja California, Chihuahua, and Sonora). A total of 683 rodents of 14 genera and 27 species were captured, nine of which have been identified as reservoirs of zoonotic pathogens (359 individuals, 53%). In all regions, we found that as anthropization increased, the relative abundance of reservoir rodents increased; in contrast, the relative abundance of non-reservoir rodents decreased. In Sonora, reservoir richness increased with increasing anthropization, while in Baja California and Chihuahua non-reservoir richness decreased as anthropization increased. We also found a significant positive relationship between the anthropization degree and the abundance of house mice (Mus musculus) and deer mice (Peromyscus maniculatus), the most abundant reservoir species in the study. These findings support the hypothesis that reservoir species of zoonotic pathogens increase their abundance in disturbed environments, which may increase the risk of pathogen exposure to humans, while anthropization creates an environmental filtering that promotes the local extinction of non-reservoir species.
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Affiliation(s)
- Hugo Mendoza
- Laboratorio de Ecología de Enfermedades y Una Salud, Departamento de Etología, Fauna Silvestre y Animales de Laboratorio, Facultad de Medicina Veterinaria y Zootecnia, Universidad Nacional Autónoma de México, Ciudad de México, México
- Laboratorio Nacional de Ciencias de la Sostenibilidad, Instituto de Ecología, Universidad Nacional Autónoma de México, Ciudad de México, México
| | - Andrés M. López-Pérez
- Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis, CA, United States of America
- Red de Biología y Conservación de Vertebrados, Instituto de Ecología A.C., Xalapa, México
| | - André V. Rubio
- Departamento de Ciencias Biológicas Animales, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santiago, Chile
| | - Julio J. Barrón-Rodríguez
- Laboratorio de Ecología de Enfermedades y Una Salud, Departamento de Etología, Fauna Silvestre y Animales de Laboratorio, Facultad de Medicina Veterinaria y Zootecnia, Universidad Nacional Autónoma de México, Ciudad de México, México
| | - Marisa Mazari-Hiriart
- Laboratorio Nacional de Ciencias de la Sostenibilidad, Instituto de Ecología, Universidad Nacional Autónoma de México, Ciudad de México, México
| | - Paulina A. Pontifes
- Laboratorio de Ecología de Enfermedades y Una Salud, Departamento de Etología, Fauna Silvestre y Animales de Laboratorio, Facultad de Medicina Veterinaria y Zootecnia, Universidad Nacional Autónoma de México, Ciudad de México, México
- MIVEGEC Unit, IRD, CNRS, Université de Montpellier, Montpellier, France
| | - Rodolfo Dirzo
- Departments of Biology and Earth Systems Science, Stanford University, Stanford, CA, United States of America
| | - Gerardo Suzán
- Laboratorio de Ecología de Enfermedades y Una Salud, Departamento de Etología, Fauna Silvestre y Animales de Laboratorio, Facultad de Medicina Veterinaria y Zootecnia, Universidad Nacional Autónoma de México, Ciudad de México, México
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3
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Liao W, Wei D, Liu M, Huang L, Li B, Wei Y, Han S, Huang S, Yu Q, Li P. Phenotypic characteristics and immune response of Procypris merus following challenge with aquatic isolate of Klebsiella pneumoniae. JOURNAL OF FISH DISEASES 2024; 47:e13875. [PMID: 37881099 DOI: 10.1111/jfd.13875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 10/06/2023] [Accepted: 10/06/2023] [Indexed: 10/27/2023]
Abstract
Currently, aquaculture is a relatively mature industry; however, disease problems are continuously threatening the industry and hindering its development to a certain extent. Klebsiella pneumoniae is one of the zoonotic bacteria widely present in different hosts and has caused some degree of harm to the aquaculture industry, posing a potential threat to the water environment and indirectly also affecting human food safety issues. In this study, K. pneumoniae was isolated from the aquaculture environment, named as ELD, and subjected to pathogenic and immunological related studies. The results of the study showed that the strain carries at least four virulence-related genes, magA, wabG, ureA and uge, and has developed resistance to at least seven antibacterial drugs, such as amoxicillin, doxycycline, rifampicin, and so on. Moreover, the strain is highly pathogenic and is capable of causing systemic clinical foci in Procypris merus. In addition, after infection with K. pneumoniae, the expression of IL-1β, IL-8, HSP70 and C2 was upregulated in P. merus as a whole, whereas the expression of TNF-α did not change significantly in any of the tissues, which might be a kind of immune response of P. merus against K. pneumoniae infection. This study provides an important theoretical basis for the in-depth exploration of the pathogenic mechanism of K. pneumoniae in fish and the immune response that occurs after the disease is contracted in fish, as well as theoretical support for the development of effective preventive and therapeutic strategies against K. pneumoniae-infected aquatic animals in the future.
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Affiliation(s)
- Wenyu Liao
- College of Marine Sciences, Beibu Gulf University, Qinzhou, P.R. China
- Guangxi Key Laboratory of Aquatic Biotechnology and Modern Ecological Aquaculture, Guangxi Engineering Research Center for Fishery Major Diseases Control and Efficient Healthy Breeding Industrial Technology (GERCFT), Guangxi Academy of Marine Sciences, Guangxi Academy of Sciences, Nanning, P.R. China
| | - Dongdong Wei
- Guangxi Key Laboratory of Aquatic Biotechnology and Modern Ecological Aquaculture, Guangxi Engineering Research Center for Fishery Major Diseases Control and Efficient Healthy Breeding Industrial Technology (GERCFT), Guangxi Academy of Marine Sciences, Guangxi Academy of Sciences, Nanning, P.R. China
| | - Mingzhu Liu
- Guangxi Key Laboratory of Aquatic Biotechnology and Modern Ecological Aquaculture, Guangxi Engineering Research Center for Fishery Major Diseases Control and Efficient Healthy Breeding Industrial Technology (GERCFT), Guangxi Academy of Marine Sciences, Guangxi Academy of Sciences, Nanning, P.R. China
| | - Lin Huang
- Guangxi Key Laboratory of Aquatic Biotechnology and Modern Ecological Aquaculture, Guangxi Engineering Research Center for Fishery Major Diseases Control and Efficient Healthy Breeding Industrial Technology (GERCFT), Guangxi Academy of Marine Sciences, Guangxi Academy of Sciences, Nanning, P.R. China
| | - Bingzheng Li
- Guangxi Key Laboratory of Aquatic Biotechnology and Modern Ecological Aquaculture, Guangxi Engineering Research Center for Fishery Major Diseases Control and Efficient Healthy Breeding Industrial Technology (GERCFT), Guangxi Academy of Marine Sciences, Guangxi Academy of Sciences, Nanning, P.R. China
- College of Food Science and Quality Engineering, Nanning University, Nanning, P.R. China
| | - Yunyi Wei
- College of Food Science and Quality Engineering, Nanning University, Nanning, P.R. China
| | - Shuyu Han
- Guangxi Fisheries Technology Extension Station, Nanning, P.R. China
| | - Shuaishuai Huang
- College of Marine Sciences, Beibu Gulf University, Qinzhou, P.R. China
- Guangxi Key Laboratory of Aquatic Biotechnology and Modern Ecological Aquaculture, Guangxi Engineering Research Center for Fishery Major Diseases Control and Efficient Healthy Breeding Industrial Technology (GERCFT), Guangxi Academy of Marine Sciences, Guangxi Academy of Sciences, Nanning, P.R. China
| | - Qing Yu
- Guangxi Key Laboratory of Aquatic Biotechnology and Modern Ecological Aquaculture, Guangxi Engineering Research Center for Fishery Major Diseases Control and Efficient Healthy Breeding Industrial Technology (GERCFT), Guangxi Academy of Marine Sciences, Guangxi Academy of Sciences, Nanning, P.R. China
| | - Pengfei Li
- College of Marine Sciences, Beibu Gulf University, Qinzhou, P.R. China
- Guangxi Key Laboratory of Aquatic Biotechnology and Modern Ecological Aquaculture, Guangxi Engineering Research Center for Fishery Major Diseases Control and Efficient Healthy Breeding Industrial Technology (GERCFT), Guangxi Academy of Marine Sciences, Guangxi Academy of Sciences, Nanning, P.R. China
- College of Food Science and Quality Engineering, Nanning University, Nanning, P.R. China
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4
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Brian JI, Aldridge DC. Host and parasite identity interact in scale-dependent fashion to determine parasite community structure. Oecologia 2024; 204:199-211. [PMID: 38206416 PMCID: PMC10830602 DOI: 10.1007/s00442-023-05499-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 12/10/2023] [Indexed: 01/12/2024]
Abstract
Understanding the ecological assembly of parasite communities is critical to characterise how changing host and environmental landscapes will alter infection dynamics and outcomes. However, studies frequently assume that (a) closely related parasite species or those with identical life-history strategies are functionally equivalent, and (b) the same factors will drive infection dynamics for a single parasite across multiple host species, oversimplifying community assembly patterns. Here, we challenge these two assumptions using a naturally occurring host-parasite system, with the mussel Anodonta anatina infected by the digenean trematode Echinoparyphium recurvatum, and the snail Viviparus viviparus infected by both E. recurvatum and Echinostoma sp. By analysing the impact of temporal parasite dispersal, host species and size, and the impact of coinfection (moving from broader environmental factors to within-host dynamics), we show that neither assumption holds true, but at different ecological scales. The assumption that closely related parasites can be functionally grouped is challenged when considering dispersal to the host (i.e. larger scales), while the assumption that the same factors will drive infection dynamics for a single parasite across multiple host species is challenged when considering within-host interspecific competition (i.e. smaller scales). Our results demonstrate that host identity, parasite identity and ecological scale require simultaneous consideration in studies of parasite community composition and transmission.
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Affiliation(s)
- Joshua I Brian
- Aquatic Ecology Group, Department of Zoology, University of Cambridge, The David Attenborough Building, Cambridge, CB2 3QZ, UK.
- Department of Geography, Bush House North East, King's College London, London, WC2B 4BG, UK.
| | - David C Aldridge
- Aquatic Ecology Group, Department of Zoology, University of Cambridge, The David Attenborough Building, Cambridge, CB2 3QZ, UK
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5
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Huang ZYX, Halliday FW, Becker DJ. Host functional traits as the nexus for multilevel infection patterns. Trends Ecol Evol 2023; 38:1125-1128. [PMID: 37684132 DOI: 10.1016/j.tree.2023.08.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 07/27/2023] [Accepted: 08/17/2023] [Indexed: 09/10/2023]
Abstract
Understanding pathogen transmission and infection patterns at multiple biological scales is a central issue in disease ecology and evolution. Here, we suggest that functional traits of host species readily affect infection patterns of species, communities, and landscapes, and thus serve as a linkage for multilevel studies of infectious disease.
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Affiliation(s)
- Zheng Y X Huang
- School of Life Sciences, Nanjing Normal University, 210023 Nanjing, Jiangsu, China.
| | - Fletcher W Halliday
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, 8057 Zurich, Switzerland; Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Daniel J Becker
- Department of Biology, University of Oklahoma, Norman, OK 73019, USA.
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6
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Singh BB, Ward MP, Dhand NK. Host characteristics and their influence on zoonosis, disease emergence and multi-host pathogenicity. One Health 2023; 17:100596. [PMID: 37404948 PMCID: PMC10316652 DOI: 10.1016/j.onehlt.2023.100596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 06/27/2023] [Accepted: 06/27/2023] [Indexed: 07/06/2023] Open
Abstract
The interplay between agent-host-environment characteristics is responsible for the emergence and zoonotic potential of infectious disease pathogens. Many studies have investigated key agent characteristics and environmental factors responsible for these phenomena. However, little is known about the role played by host characteristics in zoonoses, disease emergence and the ability of pathogens to infect multiple hosts. We compiled a dataset of 8114 vertebrate host-agent interactions from published literature. Multiple host characteristics and the pathogen's zoonotic, emergence and multi-host potential were then linked to the dataset. The associations between zoonotic, emerging human pathogen and multi-host pathogenicity and several host characteristics were explored using logistic regression models. The numbers of publications and sequences from the agent-host combinations were used to control for the research effort. Hosts in the class Aves (odds ratio [OR] 20.87, 95% CI 2.66-163.97) and Mammalia (OR 26.09, 95% CI 3.34-203.87) were more likely to host a zoonotic pathogen compared to the class Amphibia. Similarly, hosts having Bursa fabricii (i.e., birds) (OR 1.8, 95% CI 1.4-2.3) were more likely to host an emerging human pathogen. The odds of being a zoonotic pathogen were highest when the host female required a greater number of days for maturity, and the pathogen was able to affect a greater number of host species. In contrast, the hosts from which a higher number of pathogens were reported were less likely (OR 0.39, 95% CI 0.31-0.49) to be associated with an emerging human pathogen. The odds of an emerging human pathogen were highest when the host had a higher adult body mass, and the specific pathogen could affect more host species. The odds of a pathogen infecting multiple hosts were highest when a host had shorter female maturity days (>670-2830 days) and lower birth/hatching weight (>42.2-995 g) compared to longer female maturity days (>2830-6940 days) and greater birth/hatching weight (>3.31-1160 kg). We conclude that several host characteristics - such as mass, maturity, immune system and pathogen permissiveness- are linked with zoonoses, disease emergence or multi-host pathogenicity. These findings can contribute to preparedness for emerging infections and zoonotic diseases.
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Affiliation(s)
- Balbir B. Singh
- Sydney School of Veterinary Science, The University of Sydney, 425 Werombi Road, Camden, 2570, NSW, Australia
- Centre for One Health, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, Punjab 141004, India
| | - Michael P. Ward
- Sydney School of Veterinary Science, The University of Sydney, 425 Werombi Road, Camden, 2570, NSW, Australia
| | - Navneet K. Dhand
- Sydney School of Veterinary Science, The University of Sydney, 425 Werombi Road, Camden, 2570, NSW, Australia
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7
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Choo J, Nghiem LTP, Benítez-López A, Carrasco LR. Range area and the fast-slow continuum of life history traits predict pathogen richness in wild mammals. Sci Rep 2023; 13:20191. [PMID: 37980452 PMCID: PMC10657380 DOI: 10.1038/s41598-023-47448-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 11/14/2023] [Indexed: 11/20/2023] Open
Abstract
Surveillance of pathogen richness in wildlife is needed to identify host species with a high risk of zoonotic disease spillover. While several predictors of pathogen richness in wildlife hosts have been proposed, their relative importance has not been formally examined. This hampers our ability to identify potential disease reservoirs, particularly in remote areas with limited surveillance efforts. Here we analyzed 14 proposed predictors of pathogen richness using ensemble modeling and a dataset of 1040 host species to identify the most important predictors of pathogen richness in wild mammal species. After controlling for research effort, larger species geographic range area was identified to be associated with higher pathogen richness. We found evidence of duality in the relationship between the fast-slow continuum of life-history traits and pathogen richness, where pathogen richness increases near the extremities. Taxonomic orders Carnivora, Proboscidea, Artiodactyla, and Perissodactyla were predicted to host high pathogen richness. The top three species with the highest pathogen richness predicted by our ensemble model were Canis lupus, Sus scrofa, and Alces alces. Our results can help support evidence-informed pathogen surveillance and disease reservoir management to prevent the emergence of future zoonotic diseases.
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Affiliation(s)
- Jacqueline Choo
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore.
| | | | - Ana Benítez-López
- Department of Biogeography and Global Change, Museo Nacional de Ciencias Naturales (MNCN-CSIC), Madrid, Spain.
| | - Luis R Carrasco
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
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8
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Yin S, Li N, Xu W, Becker DJ, de Boer WF, Xu C, Mundkur T, Fountain-Jones NM, Li C, Han GZ, Wu Q, Prosser DJ, Cui L, Huang ZYX. Functional traits explain waterbirds' host status, subtype richness, and community-level infection risk for avian influenza. Ecol Lett 2023; 26:1780-1791. [PMID: 37586885 DOI: 10.1111/ele.14294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 07/17/2023] [Indexed: 08/18/2023]
Abstract
Species functional traits can influence pathogen transmission processes, and consequently affect species' host status, pathogen diversity, and community-level infection risk. We here investigated, for 143 European waterbird species, effects of functional traits on host status and pathogen diversity (subtype richness) for avian influenza virus at species level. We then explored the association between functional diversity and HPAI H5Nx occurrence at the community level for 2016/17 and 2021/22 epidemics in Europe. We found that both host status and subtype richness were shaped by several traits, such as diet guild and dispersal ability, and that the community-weighted means of these traits were also correlated with community-level risk of H5Nx occurrence. Moreover, functional divergence was negatively associated with H5Nx occurrence, indicating that functional diversity can reduce infection risk. Our findings highlight the value of integrating trait-based ecology into the framework of diversity-disease relationship, and provide new insights for HPAI prediction and prevention.
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Affiliation(s)
- Shenglai Yin
- College of Life Sciences, Nanjing Normal University, Nanjing, China
| | - Ning Li
- Institute of Applied Ecology, Nanjing Xiaozhuang University, Nanjing, China
| | - Wenjie Xu
- College of Life Sciences, Nanjing Normal University, Nanjing, China
| | - Daniel J Becker
- Department of Biology, University of Oklahoma, Norman, Oklahoma, USA
| | - Willem F de Boer
- Wildlife Ecology and Conservation Group, Wageningen University, Wageningen, The Netherlands
| | - Chi Xu
- School of Life Sciences, Nanjing University, Nanjing, China
| | - Taej Mundkur
- Wetlands International, Ede, The Netherlands
- Good Earth Environmental, Arnhem, The Netherlands
| | | | - Chunlin Li
- School of Resources and Environmental Engineering, Anhui University, Hefei, China
| | - Guan-Zhu Han
- College of Life Sciences, Nanjing Normal University, Nanjing, China
| | - Qiang Wu
- College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Diann J Prosser
- Eastern Ecological Science Center, United States Geological Survey, Laurel, Maryland, USA
| | - Lijuan Cui
- Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China
| | - Zheng Y X Huang
- College of Life Sciences, Nanjing Normal University, Nanjing, China
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9
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Lund MC, Larsen BB, Rowsey DM, Otto HW, Gryseels S, Kraberger S, Custer JM, Steger L, Yule KM, Harris RE, Worobey M, Van Doorslaer K, Upham NS, Varsani A. Using archived and biocollection samples towards deciphering the DNA virus diversity associated with rodent species in the families cricetidae and heteromyidae. Virology 2023; 585:42-60. [PMID: 37276766 DOI: 10.1016/j.virol.2023.05.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 05/15/2023] [Accepted: 05/19/2023] [Indexed: 06/07/2023]
Abstract
Rodentia is the most speciose order of mammals, and they are known to harbor a wide range of viruses. Although there has been significant research on zoonotic viruses in rodents, research on the diversity of other viruses has been limited, especially for rodents in the families Cricetidae and Heteromyidae. In fecal and liver samples of nine species of rodents, we identify 346 distinct circular DNA viral genomes. Of these, a large portion are circular, single-stranded DNA viruses in the families Anelloviridae (n = 3), Circoviridae (n = 5), Genomoviridae (n = 7), Microviridae (n = 297), Naryaviridae (n = 4), Vilyaviridae (n = 15) and in the phylum Cressdnaviricota (n = 13) that cannot be assigned established families. We also identified two large bacteriophages of 36 and 50 kb that are part of the class Caudoviricetes. Some of these viruses are clearly those that infect rodents, however, most of these likely infect various organisms associated with rodents, their environment or their diet.
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Affiliation(s)
- Michael C Lund
- School of Life Sciences, Arizona State University, Tempe, AZ, 85287-5001, USA; The Biodesign Center for Fundamental and Applied Microbiomics, Center for Evolution and Medicine, Arizona State University, Tempe, AZ, 85287, USA
| | - Brendan B Larsen
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, 85721, USA; Basic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98102, USA
| | - Dakota M Rowsey
- School of Life Sciences, Arizona State University, Tempe, AZ, 85287-5001, USA; Biodiversity Knowledge Integration Center, Arizona State University, Tempe, AZ, 85287, USA
| | - Hans W Otto
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, 85721, USA
| | - Sophie Gryseels
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, 85721, USA; Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, 3000, Leuven, Belgium; Department of Biology, University of Antwerp, 2000, Antwerp, Belgium; OD Taxonomy and Phylogeny, Royal Belgian Museum of Natural Sciences, 1000, Brussels, Belgium
| | - Simona Kraberger
- The Biodesign Center for Fundamental and Applied Microbiomics, Center for Evolution and Medicine, Arizona State University, Tempe, AZ, 85287, USA
| | - Joy M Custer
- The Biodesign Center for Fundamental and Applied Microbiomics, Center for Evolution and Medicine, Arizona State University, Tempe, AZ, 85287, USA
| | - Laura Steger
- School of Life Sciences, Arizona State University, Tempe, AZ, 85287-5001, USA; Biodiversity Knowledge Integration Center, Arizona State University, Tempe, AZ, 85287, USA
| | - Kelsey M Yule
- School of Life Sciences, Arizona State University, Tempe, AZ, 85287-5001, USA; Biodiversity Knowledge Integration Center, Arizona State University, Tempe, AZ, 85287, USA
| | - Robin E Harris
- School of Life Sciences, Arizona State University, Tempe, AZ, 85287-5001, USA
| | - Michael Worobey
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, 85721, USA
| | - Koenraad Van Doorslaer
- School of Animal and Comparative Biomedical Sciences, The BIO5 Institute, Department of Immunobiology, Cancer Biology Graduate Interdisciplinary Program, UA Cancer Center, University of Arizona Tucson, AZ, 85724, USA
| | - Nathan S Upham
- School of Life Sciences, Arizona State University, Tempe, AZ, 85287-5001, USA; Biodiversity Knowledge Integration Center, Arizona State University, Tempe, AZ, 85287, USA
| | - Arvind Varsani
- School of Life Sciences, Arizona State University, Tempe, AZ, 85287-5001, USA; The Biodesign Center for Fundamental and Applied Microbiomics, Center for Evolution and Medicine, Arizona State University, Tempe, AZ, 85287, USA; Structural Biology Research Unit, Department of Integrative Biomedical Sciences, University of Cape Town, Observatory, Cape Town, 7701, South Africa.
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10
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Simons D, Attfield LA, Jones KE, Watson-Jones D, Kock R. Rodent trapping studies as an overlooked information source for understanding endemic and novel zoonotic spillover. PLoS Negl Trop Dis 2023; 17:e0010772. [PMID: 36689474 PMCID: PMC9894545 DOI: 10.1371/journal.pntd.0010772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 02/02/2023] [Accepted: 01/15/2023] [Indexed: 01/24/2023] Open
Abstract
Rodents, a diverse, globally distributed and ecologically important order of mammals are nevertheless important reservoirs of known and novel zoonotic pathogens. Ongoing anthropogenic land use change is altering these species' abundance and distribution, which among zoonotic host species may increase the risk of zoonoses spillover events. A better understanding of the current distribution of rodent species is required to guide attempts to mitigate against potentially increased zoonotic disease hazard and risk. However, available species distribution and host-pathogen association datasets (e.g. IUCN, GBIF, CLOVER) are often taxonomically and spatially biased. Here, we synthesise data from West Africa from 127 rodent trapping studies, published between 1964-2022, as an additional source of information to characterise the range and presence of rodent species and identify the subgroup of species that are potential or known pathogen hosts. We identify that these rodent trapping studies, although biased towards human dominated landscapes across West Africa, can usefully complement current rodent species distribution datasets and we calculate the discrepancies between these datasets. For five regionally important zoonotic pathogens (Arenaviridae spp., Borrelia spp., Lassa mammarenavirus, Leptospira spp. and Toxoplasma gondii), we identify host-pathogen associations that have not been previously reported in host-association datasets. Finally, for these five pathogen groups, we find that the proportion of a rodent hosts range that have been sampled remains small with geographic clustering. A priority should be to sample rodent hosts across a greater geographic range to better characterise current and future risk of zoonotic spillover events. In the interim, studies of spatial pathogen risk informed by rodent distributions must incorporate a measure of the current sampling biases. The current synthesis of contextually rich rodent trapping data enriches available information from IUCN, GBIF and CLOVER which can support a more complete understanding of the hazard of zoonotic spillover events.
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Affiliation(s)
- David Simons
- Centre for Emerging, Endemic and Exotic Diseases, The Royal Veterinary College, London, United Kingdom
- Clinical Research Department, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Centre for Biodiversity and Environment Research, University College London, London, United Kingdom
| | - Lauren A. Attfield
- Centre for Biodiversity and Environment Research, University College London, London, United Kingdom
- Department of Life Sciences, Imperial College London, London, United Kingdom
| | - Kate E. Jones
- Centre for Biodiversity and Environment Research, University College London, London, United Kingdom
| | - Deborah Watson-Jones
- Clinical Research Department, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Mwanza Intervention Trials Unit, National Institute for Medical Research, Mwanza, Tanzania
| | - Richard Kock
- Centre for Emerging, Endemic and Exotic Diseases, The Royal Veterinary College, London, United Kingdom
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11
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Leifels M, Khalilur Rahman O, Sam IC, Cheng D, Chua FJD, Nainani D, Kim SY, Ng WJ, Kwok WC, Sirikanchana K, Wuertz S, Thompson J, Chan YF. The one health perspective to improve environmental surveillance of zoonotic viruses: lessons from COVID-19 and outlook beyond. ISME COMMUNICATIONS 2022; 2:107. [PMID: 36338866 PMCID: PMC9618154 DOI: 10.1038/s43705-022-00191-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 09/26/2022] [Accepted: 10/11/2022] [Indexed: 11/11/2022]
Abstract
The human population has doubled in the last 50 years from about 3.7 billion to approximately 7.8 billion. With this rapid expansion, more people live in close contact with wildlife, livestock, and pets, which in turn creates increasing opportunities for zoonotic diseases to pass between animals and people. At present an estimated 75% of all emerging virus-associated infectious diseases possess a zoonotic origin, and outbreaks of Zika, Ebola and COVID-19 in the past decade showed their huge disruptive potential on the global economy. Here, we describe how One Health inspired environmental surveillance campaigns have emerged as the preferred tools to monitor human-adjacent environments for known and yet to be discovered infectious diseases, and how they can complement classical clinical diagnostics. We highlight the importance of environmental factors concerning interactions between animals, pathogens and/or humans that drive the emergence of zoonoses, and the methodologies currently proposed to monitor them-the surveillance of wastewater, for example, was identified as one of the main tools to assess the spread of SARS-CoV-2 by public health professionals and policy makers during the COVID-19 pandemic. One-Health driven approaches that facilitate surveillance, thus harbour the potential of preparing humanity for future pandemics caused by aetiological agents with environmental reservoirs. Via the example of COVID-19 and other viral diseases, we propose that wastewater surveillance is a useful complement to clinical diagnosis as it is centralized, robust, cost-effective, and relatively easy to implement.
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Affiliation(s)
- Mats Leifels
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore
| | - Omar Khalilur Rahman
- Department of Medical Microbiology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - I-Ching Sam
- Department of Medical Microbiology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
- Department of Medical Microbiology, University Malaya Medical Centre, Kuala Lumpur, Malaysia
| | - Dan Cheng
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore
| | - Feng Jun Desmond Chua
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore
| | - Dhiraj Nainani
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore
| | - Se Yeon Kim
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore
| | - Wei Jie Ng
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore
| | - Wee Chiew Kwok
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore
| | - Kwanrawee Sirikanchana
- Research Laboratory of Biotechnology, Chulabhorn Research Institute, Bangkok, Thailand
- Centre of Excellence on Environmental Health and Toxicology, CHE, Ministry of Education, Bangkok, Thailand
| | - Stefan Wuertz
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore
- School of Civil and Environmental Engineering, Nanyang Technological University, Singapore, Singapore
| | - Janelle Thompson
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore
- Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore
- Asian School of the Environment, Nanyang Technological University, Singapore, Singapore
| | - Yoke Fun Chan
- Department of Medical Microbiology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
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12
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Estavillo C, Weyland F, Herrera L. Zoonotic Disease Risk and Life-History Traits: Are Reservoirs Fast Life Species? ECOHEALTH 2022; 19:390-401. [PMID: 35841485 DOI: 10.1007/s10393-022-01608-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Accepted: 05/26/2022] [Indexed: 06/15/2023]
Abstract
The relationship between humans, wildlife and disease transmission can be complex and context-dependent, and disease dynamics may be determined by idiosyncratic species. Therefore, an outstanding question is how general is the finding that species with faster life histories are more probable hosts of zoonoses. Ecological knowledge on species, jointly with public health data, can provide relevant information on species that should be targeted for epidemiological surveillance or management. We investigated whether mammal species traits can be good indicators of zoonotic reservoir status in an intensified agricultural region of Argentina. We find support for a relationship between reservoir status and the pace of life syndrome, confirming that fast life histories can be a factor of zoonotic risk. Nonetheless, we observed that for certain zoonosis, reservoirs may display a slow pace of life, suggesting that idiosyncratic interactions can occur. We conclude that applying knowledge from the life history-disease relationship can contribute significantly to disease risk assessment. Such an approach may be especially valuable in the current context of environmental change and agricultural intensification.
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Affiliation(s)
- Candelaria Estavillo
- Grupo de Estudio de Agroecosistemas y Paisajes Rurales, Facultad de Ciencias Agrarias, Universidad Nacional de Mar del Plata, CONICET, EEI INTA Balcarce, Ruta 226 Km 73.5, Balcarce, Prov. de Buenos Aires, Argentina.
| | - Federico Weyland
- Grupo de Estudio de Agroecosistemas y Paisajes Rurales, Facultad de Ciencias Agrarias, Universidad Nacional de Mar del Plata, CONICET, EEI INTA Balcarce, Ruta 226 Km 73.5, Balcarce, Prov. de Buenos Aires, Argentina
| | - Lorena Herrera
- Grupo de Estudio de Agroecosistemas y Paisajes Rurales, Facultad de Ciencias Agrarias, Universidad Nacional de Mar del Plata, CONICET, EEI INTA Balcarce, Ruta 226 Km 73.5, Balcarce, Prov. de Buenos Aires, Argentina
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13
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Mull N, Carlson CJ, Forbes KM, Becker DJ. Virus isolation data improve host predictions for New World rodent orthohantaviruses. J Anim Ecol 2022; 91:1290-1302. [PMID: 35362148 DOI: 10.1111/1365-2656.13694] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 03/16/2022] [Indexed: 11/30/2022]
Abstract
Identifying reservoir host species is crucial for understanding the ecology of multi-host pathogens and predicting risks of pathogen spillover from wildlife to people. Predictive models are increasingly used for identifying ecological traits and prioritizing surveillance of likely zoonotic reservoirs, but these often employ different types of evidence for establishing host associations. Comparisons between models with different infection evidence are necessary to guide inferences about the trait profiles of likely hosts and identify which hosts and geographical regions are likely sources of spillover. Here, we use New World rodent-orthohantavirus associations to explore differences in the performance and predictions of models trained on two types of evidence for infection and onward transmission: RT-PCR and live virus isolation data, representing active infections versus host competence, respectively. Orthohantaviruses are primarily carried by muroid rodents and cause the diseases haemorrhagic fever with renal syndrome (HFRS) and hantavirus cardiopulmonary syndrome (HCPS) in humans. We show that although boosted regression tree (BRT) models trained on RT-PCR and live virus isolation data both performed well and capture generally similar trait profiles, rodent phylogeny influenced previously collected RT-PCR data, and BRTs using virus isolation data displayed a narrower list of predicted reservoirs than those using RT-PCR data. BRT models trained on RT-PCR data identified 138 undiscovered hosts and virus isolation models identified 92 undiscovered hosts, with 27 undiscovered hosts identified by both models. Distributions of predicted hosts were concentrated in several different regions for each model, with large discrepancies between evidence types. As a form of validation, virus isolation models independently predicted several orthohantavirus-rodent host associations that had been previously identified through empirical research using RT-PCR. Our model predictions provide a priority list of species and locations for future orthohantavirus sampling. More broadly, these results demonstrate the value of multiple data types for predicting zoonotic pathogen hosts. These methods can be applied across a range of systems to improve our understanding of pathogen maintenance and increase efficiency of pathogen surveillance.
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Affiliation(s)
- Nathaniel Mull
- Department of Biological Sciences, University of Arkansas, Fayetteville, AR, USA
| | - Colin J Carlson
- Center for Global Health Science and Security, Georgetown University Medical Center, Washington, DC, USA
| | - Kristian M Forbes
- Department of Biological Sciences, University of Arkansas, Fayetteville, AR, USA
| | - Daniel J Becker
- Department of Biology, University of Oklahoma, Norman, OK, USA
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14
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Urban-adapted mammal species have more known pathogens. Nat Ecol Evol 2022; 6:794-801. [PMID: 35501480 DOI: 10.1038/s41559-022-01723-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 02/23/2022] [Accepted: 03/03/2022] [Indexed: 11/08/2022]
Abstract
The world is rapidly urbanizing, inviting mounting concern that urban environments will experience increased zoonotic disease risk. Urban animals could have more frequent contact with humans, therefore transmitting more zoonotic parasites; however, this relationship is complicated by sampling bias and phenotypic confounders. Here we test whether urban mammal species host more zoonotic parasites, investigating the underlying drivers alongside a suite of phenotypic, taxonomic and geographic predictors. We found that urban-adapted mammals have more documented parasites and more zoonotic parasites: despite comprising only 6% of investigated species, urban mammals provided 39% of known host-parasite combinations. However, contrary to predictions, much of the observed effect was attributable to parasite discovery and research effort rather than to urban adaptation status, and urban-adapted species in fact hosted fewer zoonotic parasites than expected on the basis of their total parasite richness. We conclude that extended historical contact with humans has had a limited impact on zoonotic parasite richness in urban-adapted mammals; instead, their greater observed zoonotic richness probably reflects sampling bias arising from proximity to humans, supporting a near-universal conflation between zoonotic risk, research effort and synanthropy. These findings underscore the need to resolve the mechanisms linking anthropogenic change, sampling bias and observed wildlife disease dynamics.
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15
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Guth S, Mollentze N, Renault K, Streicker DG, Visher E, Boots M, Brook CE. Bats host the most virulent-but not the most dangerous-zoonotic viruses. Proc Natl Acad Sci U S A 2022; 119:e2113628119. [PMID: 35349342 DOI: 10.1101/2021.07.25.453574] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/26/2023] Open
Abstract
SignificanceThe clear need to mitigate zoonotic risk has fueled increased viral discovery in specific reservoir host taxa. We show that a combination of viral and reservoir traits can predict zoonotic virus virulence and transmissibility in humans, supporting the hypothesis that bats harbor exceptionally virulent zoonoses. However, pandemic prevention requires thinking beyond zoonotic capacity, virulence, and transmissibility to consider collective "burden" on human health. For this, viral discovery targeting specific reservoirs may be inefficient as death burden correlates with viral, not reservoir, traits, and depends on context-specific epidemiological dynamics across and beyond the human-animal interface. These findings suggest that longitudinal studies of viral dynamics in reservoir and spillover host populations may offer the most effective strategy for mitigating zoonotic risk.
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Affiliation(s)
- Sarah Guth
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94720
| | - Nardus Mollentze
- Medical Research Council-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, United Kingdom
| | - Katia Renault
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94720
| | - Daniel G Streicker
- Medical Research Council-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, United Kingdom
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - Elisa Visher
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94720
| | - Mike Boots
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94720
- Centre for Ecology and Conservation, University of Exeter, Exeter TR10 9FE, United Kingdom
| | - Cara E Brook
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94720
- Department of Ecology and Evolution, University of Chicago, Chicago, IL 60637
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16
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Guth S, Mollentze N, Renault K, Streicker DG, Visher E, Boots M, Brook CE. Bats host the most virulent-but not the most dangerous-zoonotic viruses. Proc Natl Acad Sci U S A 2022; 119:e2113628119. [PMID: 35349342 PMCID: PMC9168486 DOI: 10.1073/pnas.2113628119] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 02/09/2022] [Indexed: 01/06/2023] Open
Abstract
SignificanceThe clear need to mitigate zoonotic risk has fueled increased viral discovery in specific reservoir host taxa. We show that a combination of viral and reservoir traits can predict zoonotic virus virulence and transmissibility in humans, supporting the hypothesis that bats harbor exceptionally virulent zoonoses. However, pandemic prevention requires thinking beyond zoonotic capacity, virulence, and transmissibility to consider collective "burden" on human health. For this, viral discovery targeting specific reservoirs may be inefficient as death burden correlates with viral, not reservoir, traits, and depends on context-specific epidemiological dynamics across and beyond the human-animal interface. These findings suggest that longitudinal studies of viral dynamics in reservoir and spillover host populations may offer the most effective strategy for mitigating zoonotic risk.
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Affiliation(s)
- Sarah Guth
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94720
| | - Nardus Mollentze
- Medical Research Council–University of Glasgow Centre for Virus Research, Glasgow G61 1QH, United Kingdom
| | - Katia Renault
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94720
| | - Daniel G. Streicker
- Medical Research Council–University of Glasgow Centre for Virus Research, Glasgow G61 1QH, United Kingdom
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - Elisa Visher
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94720
| | - Mike Boots
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94720
- Centre for Ecology and Conservation, University of Exeter, Exeter TR10 9FE, United Kingdom
| | - Cara E. Brook
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94720
- Department of Ecology and Evolution, University of Chicago, Chicago, IL 60637
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17
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Immunity and lifespan: answering long-standing questions with comparative genomics. Trends Genet 2022; 38:650-661. [DOI: 10.1016/j.tig.2022.02.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 01/14/2022] [Accepted: 02/28/2022] [Indexed: 10/18/2022]
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18
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Fagre AC, Cohen LE, Eskew EA, Farrell M, Glennon E, Joseph MB, Frank HK, Ryan SJ, Carlson CJ, Albery GF. Assessing the risk of human-to-wildlife pathogen transmission for conservation and public health. Ecol Lett 2022; 25:1534-1549. [PMID: 35318793 PMCID: PMC9313783 DOI: 10.1111/ele.14003] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 02/22/2022] [Accepted: 03/02/2022] [Indexed: 12/16/2022]
Abstract
The SARS‐CoV‐2 pandemic has led to increased concern over transmission of pathogens from humans to animals, and its potential to threaten conservation and public health. To assess this threat, we reviewed published evidence of human‐to‐wildlife transmission events, with a focus on how such events could threaten animal and human health. We identified 97 verified examples, involving a wide range of pathogens; however, reported hosts were mostly non‐human primates or large, long‐lived captive animals. Relatively few documented examples resulted in morbidity and mortality, and very few led to maintenance of a human pathogen in a new reservoir or subsequent “secondary spillover” back into humans. We discuss limitations in the literature surrounding these phenomena, including strong evidence of sampling bias towards non‐human primates and human‐proximate mammals and the possibility of systematic bias against reporting human parasites in wildlife, both of which limit our ability to assess the risk of human‐to‐wildlife pathogen transmission. We outline how researchers can collect experimental and observational evidence that will expand our capacity for risk assessment for human‐to‐wildlife pathogen transmission.
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Affiliation(s)
- Anna C Fagre
- Department of Microbiology, Immunology, and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, Colorado, USA.,Bat Health Foundation, Fort Collins, Colorado, USA
| | - Lily E Cohen
- Icahn School of Medicine at Mount Sinai, New York, New York City, USA
| | - Evan A Eskew
- Department of Biology, Pacific Lutheran University, Tacoma, Washington, USA
| | - Max Farrell
- Department of Ecology & Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada
| | - Emma Glennon
- Disease Dynamics Unit, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Maxwell B Joseph
- Earth Lab, University of Colorado Boulder, Boulder, Colorado, USA
| | - Hannah K Frank
- Department of Ecology and Evolutionary Biology, Tulane University, New Orleans, Louisina, USA
| | - Sadie J Ryan
- Quantitative Disease Ecology and Conservation (QDEC) Lab Group, Department of Geography, University of Florida, Gainesville, Florida, USA.,Emerging Pathogens Institute, University of Florida, Gainesville, Florida, USA.,School of Life Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Colin J Carlson
- Center for Global Health Science and Security, Georgetown University Medical Center, Washington, District of Columbia, USA.,Department of Microbiology and Immunology, Georgetown University Medical Center, Washington, District of Columbia, USA
| | - Gregory F Albery
- Department of Biology, Georgetown University, Washington, District of Columbia, USA
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19
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Roberts M, Dobson A, Restif O, Wells K. Challenges in modelling the dynamics of infectious diseases at the wildlife-human interface. Epidemics 2021; 37:100523. [PMID: 34856500 PMCID: PMC8603269 DOI: 10.1016/j.epidem.2021.100523] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 11/04/2021] [Accepted: 11/08/2021] [Indexed: 02/01/2023] Open
Abstract
The Covid-19 pandemic is of zoonotic origin, and many other emerging infections of humans have their origin in an animal host population. We review the challenges involved in modelling the dynamics of wildlife–human interfaces governing infectious disease emergence and spread. We argue that we need a better understanding of the dynamic nature of such interfaces, the underpinning diversity of pathogens and host–pathogen association networks, and the scales and frequencies at which environmental conditions enable spillover and host shifting from animals to humans to occur. The major drivers of the emergence of zoonoses are anthropogenic, including the global change in climate and land use. These, and other ecological processes pose challenges that must be overcome to counterbalance pandemic risk. The development of more detailed and nuanced models will provide better tools for analysing and understanding infectious disease emergence and spread.
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Affiliation(s)
- Mick Roberts
- School of Natural & Computational Sciences, New Zealand Institute for Advanced Study and the Infectious Disease Research Centre, Massey University, Private Bag 102 904, North Shore Mail Centre, Auckland, New Zealand.
| | - Andrew Dobson
- EEB, Eno Hall, Princeton University, Princeton, NJ 08544, USA; Santa Fe Institute, Hyde Park Rd., Santa Fe, NM, USA
| | - Olivier Restif
- Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge CB3 0ES, UK
| | - Konstans Wells
- Department of Biosciences, Swansea University, Swansea SA2 8PP, UK
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20
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Albery GF, Becker DJ, Brierley L, Brook CE, Christofferson RC, Cohen LE, Dallas TA, Eskew EA, Fagre A, Farrell MJ, Glennon E, Guth S, Joseph MB, Mollentze N, Neely BA, Poisot T, Rasmussen AL, Ryan SJ, Seifert S, Sjodin AR, Sorrell EM, Carlson CJ. The science of the host-virus network. Nat Microbiol 2021; 6:1483-1492. [PMID: 34819645 DOI: 10.1038/s41564-021-00999-5] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 10/18/2021] [Indexed: 01/21/2023]
Abstract
Better methods to predict and prevent the emergence of zoonotic viruses could support future efforts to reduce the risk of epidemics. We propose a network science framework for understanding and predicting human and animal susceptibility to viral infections. Related approaches have so far helped to identify basic biological rules that govern cross-species transmission and structure the global virome. We highlight ways to make modelling both accurate and actionable, and discuss the barriers that prevent researchers from translating viral ecology into public health policies that could prevent future pandemics.
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Affiliation(s)
- Gregory F Albery
- Department of Biology, Georgetown University, Washington DC, USA.
| | - Daniel J Becker
- Department of Biology, University of Oklahoma, Norman, OK, USA
| | - Liam Brierley
- Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - Cara E Brook
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA
| | | | - Lily E Cohen
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tad A Dallas
- Department of Biological Sciences, University of South Carolina, Columbia, SC, USA
| | - Evan A Eskew
- Department of Biology, Pacific Lutheran University, Tacoma, WA, USA
| | - Anna Fagre
- Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO, USA
| | - Maxwell J Farrell
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada
| | - Emma Glennon
- Disease Dynamics Unit, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Sarah Guth
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Maxwell B Joseph
- Earth Lab, Cooperative Institute for Research in Environmental Science, University of Colorado Boulder, Boulder, CO, USA
| | - Nardus Mollentze
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, UK.,MRC - University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Benjamin A Neely
- National Institute of Standards and Technology, Charleston, SC, USA
| | - Timothée Poisot
- Québec Centre for Biodiversity Sciences, Montréal, Québec, Canada.,Département de Sciences Biologiques, Université de Montréal, Montréal, Québec, Canada
| | - Angela L Rasmussen
- Vaccine and Infectious Disease Organization, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.,Department of Biochemistry, Microbiology, and Immunology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Sadie J Ryan
- Department of Geography, University of Florida, Gainesville, FL, USA.,Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA.,School of Life Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Stephanie Seifert
- Paul G. Allen School for Global Health, Washington State University, Pullman, WA, USA
| | - Anna R Sjodin
- Department of Biological Sciences, University of Idaho, Moscow, ID, USA
| | - Erin M Sorrell
- Center for Global Health Science and Security, Georgetown University Medical Center, Washington, DC, USA.,Department of Microbiology and Immunology, Georgetown University Medical Center, Washington, DC, USA
| | - Colin J Carlson
- Center for Global Health Science and Security, Georgetown University Medical Center, Washington, DC, USA. .,Department of Microbiology and Immunology, Georgetown University Medical Center, Washington, DC, USA.
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21
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Downie AE, Mayer A, Metcalf CJE, Graham AL. Optimal immune specificity at the intersection of host life history and parasite epidemiology. PLoS Comput Biol 2021; 17:e1009714. [PMID: 34932551 PMCID: PMC8730424 DOI: 10.1371/journal.pcbi.1009714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 01/05/2022] [Accepted: 12/02/2021] [Indexed: 11/30/2022] Open
Abstract
Hosts diverge widely in how, and how well, they defend themselves against infection and immunopathology. Why are hosts so heterogeneous? Both epidemiology and life history are commonly hypothesized to influence host immune strategy, but the relationship between immune strategy and each factor has commonly been investigated in isolation. Here, we show that interactions between life history and epidemiology are crucial for determining optimal immune specificity and sensitivity. We propose a demographically-structured population dynamics model, in which we explore sensitivity and specificity of immune responses when epidemiological risks vary with age. We find that variation in life history traits associated with both reproduction and longevity alters optimal immune strategies-but the magnitude and sometimes even direction of these effects depends on how epidemiological risks vary across life. An especially compelling example that explains previously-puzzling empirical observations is that depending on whether infection risk declines or rises at reproductive maturity, later reproductive maturity can select for either greater or lower immune specificity, potentially illustrating why studies of lifespan and immune variation across taxa have been inconclusive. Thus, the sign of selection on the life history-immune specificity relationship can be reversed in different epidemiological contexts. Drawing on published life history data from a variety of chordate taxa, we generate testable predictions for this facet of the optimal immune strategy. Our results shed light on the causes of the heterogeneity found in immune defenses both within and among species and the ultimate variability of the relationship between life history and immune specificity.
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Affiliation(s)
- Alexander E. Downie
- Department of Ecology & Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America
| | - Andreas Mayer
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America
| | - C. Jessica E. Metcalf
- Department of Ecology & Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America
- School of Public and International Affairs, Princeton University, Princeton, New Jersey, United States of America
| | - Andrea L. Graham
- Department of Ecology & Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America
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22
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García-Peña GE, Rubio AV, Mendoza H, Fernández M, Milholland MT, Aguirre AA, Suzán G, Zambrana-Torrelio C. Land-use change and rodent-borne diseases: hazards on the shared socioeconomic pathways. Philos Trans R Soc Lond B Biol Sci 2021; 376:20200362. [PMID: 34538146 PMCID: PMC8450622 DOI: 10.1098/rstb.2020.0362] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/14/2021] [Indexed: 12/22/2022] Open
Abstract
Land-use change has a direct impact on species survival and reproduction, altering their spatio-temporal distributions. It acts as a selective force that favours the abundance and diversity of reservoir hosts and affects host-pathogen dynamics and prevalence. This has led to land-use change being a significant driver of infectious diseases emergence. Here, we predict the presence of rodent taxa and map the zoonotic hazard (potential sources of harm) from rodent-borne diseases in the short and long term (2025 and 2050). The study considers three different land-use scenarios based on the shared socioeconomic pathways narratives (SSPs): sustainable (SSP1-Representative Concentration Pathway (RCP) 2.6), fossil-fuelled development (SSP5-RCP 8.5) and deepening inequality (SSP4-RCP 6.0). We found that cropland expansion into forest and pasture may increase zoonotic hazards in areas with high rodent-species diversity. Nevertheless, a future sustainable scenario may not always reduce hazards. All scenarios presented high heterogeneity in zoonotic hazard, with high-income countries having the lowest hazard range. The SSPs narratives suggest that opening borders and reducing cropland expansion are critical to mitigate current and future zoonotic hazards globally, particularly in middle- and low-income economies. Our study advances previous efforts to anticipate the emergence of zoonotic diseases by integrating past, present and future information to guide surveillance and mitigation of zoonotic hazards at the regional and local scale. This article is part of the theme issue 'Infectious disease macroecology: parasite diversity and dynamics across the globe'.
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Affiliation(s)
- Gabriel E. García-Peña
- Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
| | - André V. Rubio
- Departamento de Ciencias Biológicas Animales, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santiago, Chile
| | - Hugo Mendoza
- Departamento de Etología, Fauna Silvestre y Animales de Laboratorio, Facultad de Medicina Veterinaria y Zootecnia, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
| | - Miguel Fernández
- NatureServe, Arlington, VA, USA
- Department of Environmental Science and Policy, George Mason University, Fairfax, VA, USA
| | - Matthew T. Milholland
- University of Maryland, AGNR-Environmental Science and Technology, College Park, MD, USA
| | - A. Alonso Aguirre
- Department of Environmental Science and Policy, George Mason University, Fairfax, VA, USA
| | - Gerardo Suzán
- Departamento de Etología, Fauna Silvestre y Animales de Laboratorio, Facultad de Medicina Veterinaria y Zootecnia, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
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23
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The ecology of zoonotic parasites in the Carnivora. Trends Parasitol 2021; 37:1096-1110. [PMID: 34544647 DOI: 10.1016/j.pt.2021.08.006] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 08/24/2021] [Accepted: 08/25/2021] [Indexed: 01/08/2023]
Abstract
The order Carnivora includes over 300 species that vary many orders of magnitude in size and inhabit all major biomes, from tropical rainforests to polar seas. The high diversity of carnivore parasites represents a source of potential emerging diseases of humans. Zoonotic risk from this group may be driven in part by exceptionally high functional diversity of host species in behavioral, physiological, and ecological traits. We review global macroecological patterns of zoonotic parasites within carnivores, and explore the traits of species that serve as hosts of zoonotic parasites. We synthesize theoretical and empirical research and suggest future work on the roles of carnivores as biotic multipliers, regulators, and sentinels of zoonotic disease as timely research frontiers.
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24
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Keesing F, Ostfeld RS. Dilution effects in disease ecology. Ecol Lett 2021; 24:2490-2505. [PMID: 34482609 PMCID: PMC9291114 DOI: 10.1111/ele.13875] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 08/19/2021] [Indexed: 01/03/2023]
Abstract
For decades, people have reduced the transmission of pathogens by adding low‐quality hosts to managed environments like agricultural fields. More recently, there has been interest in whether similar ‘dilution effects’ occur in natural disease systems, and whether these effects are eroded as diversity declines. For some pathogens of plants, humans and other animals, the highest‐quality hosts persist when diversity is lost, so that high‐quality hosts dominate low‐diversity communities, resulting in greater pathogen transmission. Meta‐analyses reveal that these natural dilution effects are common. However, studying them remains challenging due to limitations on the ability of researchers to manipulate many disease systems experimentally, difficulties of acquiring data on host quality and confusion about what should and should not be considered a dilution effect. Because dilution effects are widely used in managed disease systems and have been documented in a variety of natural disease systems, their existence should not be considered controversial. Important questions remain about how frequently they occur and under what conditions to expect them. There is also ongoing confusion about their relationships to both pathogen spillover and general biogeographical correlations between diversity and disease, which has resulted in an inconsistent and confusing literature. Progress will require rigorous and creative research.
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25
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Valenzuela-Sánchez A, Wilber MQ, Canessa S, Bacigalupe LD, Muths E, Schmidt BR, Cunningham AA, Ozgul A, Johnson PTJ, Cayuela H. Why disease ecology needs life-history theory: a host perspective. Ecol Lett 2021; 24:876-890. [PMID: 33492776 DOI: 10.1111/ele.13681] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 12/16/2020] [Accepted: 12/18/2020] [Indexed: 12/16/2022]
Abstract
When facing an emerging infectious disease of conservation concern, we often have little information on the nature of the host-parasite interaction to inform management decisions. However, it is becoming increasingly clear that the life-history strategies of host species can be predictive of individual- and population-level responses to infectious disease, even without detailed knowledge on the specifics of the host-parasite interaction. Here, we argue that a deeper integration of life-history theory into disease ecology is timely and necessary to improve our capacity to understand, predict and mitigate the impact of endemic and emerging infectious diseases in wild populations. Using wild vertebrates as an example, we show that host life-history characteristics influence host responses to parasitism at different levels of organisation, from individuals to communities. We also highlight knowledge gaps and future directions for the study of life-history and host responses to parasitism. We conclude by illustrating how this theoretical insight can inform the monitoring and control of infectious diseases in wildlife.
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Affiliation(s)
- Andrés Valenzuela-Sánchez
- Instituto de Ciencias Ambientales y Evolutivas, Universidad Austral de Chile, Valdivia, Chile.,ONG Ranita de Darwin, Valdivia and Santiago, Chile.,Centro de Investigación para la Sustentabilidad, Universidad Andrés Bello, Santiago, Chile
| | - Mark Q Wilber
- Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, Santa Barbara, CA, 93106, USA.,Center for Wildlife Health, Department of Forestry, Wildlife and Fisheries, University of Tennessee Institute of Agriculture, Knoxville, TN, 37996, USA
| | - Stefano Canessa
- Wildlife Health Ghent, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
| | - Leonardo D Bacigalupe
- Instituto de Ciencias Ambientales y Evolutivas, Universidad Austral de Chile, Valdivia, Chile
| | - Erin Muths
- U.S. Geological Survey, 2150 Centre Avenue Bldg C, Fort Collins, Colorado, 80526, USA
| | - Benedikt R Schmidt
- Institut für Evolutionsbiologie und Umweltwissenschaften, Universität Zürich, Winterthurerstrasse 190, 8057, Zürich, Switzerland.,Info Fauna Karch, UniMail, Bâtiment G, Bellevaux 51, 2000, Neuchâtel, Switzerland
| | - Andrew A Cunningham
- Institute of Zoology, Zoological Society of London, Regent's Park, London, NW1 4RY, UK
| | - Arpat Ozgul
- Institut für Evolutionsbiologie und Umweltwissenschaften, Universität Zürich, Winterthurerstrasse 190, 8057, Zürich, Switzerland
| | - Pieter T J Johnson
- Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado, 80309, USA
| | - Hugo Cayuela
- IBIS, Department of Biology, University Laval, Pavillon Charles-Eugène-Marchand, Avenue de la Médecine, Quebec City, Canada.,Department of Ecology and Evolution, University of Lausanne, 1015 Lausanne, Switzerland
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