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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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2
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Kozakiewicz CP, Burridge CP, Lee JS, Kraberger SJ, Fountain-Jones NM, Fisher RN, Lyren LM, Jennings MK, Riley SPD, Serieys LEK, Craft ME, Funk WC, Crooks KR, VandeWoude S, Carver S. Habitat connectivity and host relatedness influence virus spread across an urbanising landscape in a fragmentation-sensitive carnivore. Virus Evol 2022; 9:veac122. [PMID: 36694819 PMCID: PMC9865512 DOI: 10.1093/ve/veac122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 10/22/2022] [Accepted: 12/20/2022] [Indexed: 12/24/2022] Open
Abstract
Spatially heterogeneous landscape factors such as urbanisation can have substantial effects on the severity and spread of wildlife diseases. However, research linking patterns of pathogen transmission to landscape features remains rare. Using a combination of phylogeographic and machine learning approaches, we tested the influence of landscape and host factors on feline immunodeficiency virus (FIVLru) genetic variation and spread among bobcats (Lynx rufus) sampled from coastal southern California. We found evidence for increased rates of FIVLru lineage spread through areas of higher vegetation density. Furthermore, single-nucleotide polymorphism (SNP) variation among FIVLru sequences was associated with host genetic distances and geographic location, with FIVLru genetic discontinuities precisely correlating with known urban barriers to host dispersal. An effect of forest land cover on FIVLru SNP variation was likely attributable to host population structure and differences in forest land cover between different populations. Taken together, these results suggest that the spread of FIVLru is constrained by large-scale urban barriers to host movement. Although urbanisation at fine spatial scales did not appear to directly influence virus transmission or spread, we found evidence that viruses transmit and spread more quickly through areas containing higher proportions of natural habitat. These multiple lines of evidence demonstrate how urbanisation can change patterns of contact-dependent pathogen transmission and provide insights into how continued urban development may influence the incidence and management of wildlife disease.
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Affiliation(s)
| | | | - Justin S Lee
- Genomic Sequencing Laboratory, Centers for Disease Control and Prevention, Atlanta, GA 30329, USA
| | | | | | - Robert N Fisher
- Western Ecological Research Center, U.S. Geological Survey, San Diego, CA 92101, USA
| | - Lisa M Lyren
- Western Ecological Research Center, U.S. Geological Survey, San Diego, CA 92101, USA
| | - Megan K Jennings
- Biology Department, San Diego State University, San Diego, CA 92182, USA
| | - Seth P D Riley
- National Park Service, Santa Monica Mountains National Recreation Area, Thousand Oaks, CA 91360, USA
| | | | - Meggan E Craft
- Department of Ecology, Evolution and Behavior, University of Minnesota, St Paul, MN 55108, USA
| | - W Chris Funk
- Department of Biology, Colorado State University, Fort Collins, CO 80523, USA,Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO 80523, USA
| | - Kevin R Crooks
- Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO 80523, USA,Department of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, CO 80523, USA
| | - Sue VandeWoude
- Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO 80523, USA
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3
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Gilbertson MLJ, Fountain-Jones NM, Malmberg JL, Gagne RB, Lee JS, Kraberger S, Kechejian S, Petch R, Chiu ES, Onorato D, Cunningham MW, Crooks KR, Funk WC, Carver S, VandeWoude S, VanderWaal K, Craft ME. Apathogenic proxies for transmission dynamics of a fatal virus. Front Vet Sci 2022; 9:940007. [PMID: 36157183 PMCID: PMC9493079 DOI: 10.3389/fvets.2022.940007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 08/18/2022] [Indexed: 11/13/2022] Open
Abstract
Identifying drivers of transmission-especially of emerging pathogens-is a formidable challenge for proactive disease management efforts. While close social interactions can be associated with microbial sharing between individuals, and thereby imply dynamics important for transmission, such associations can be obscured by the influences of factors such as shared diets or environments. Directly-transmitted viral agents, specifically those that are rapidly evolving such as many RNA viruses, can allow for high-resolution inference of transmission, and therefore hold promise for elucidating not only which individuals transmit to each other, but also drivers of those transmission events. Here, we tested a novel approach in the Florida panther, which is affected by several directly-transmitted feline retroviruses. We first inferred the transmission network for an apathogenic, directly-transmitted retrovirus, feline immunodeficiency virus (FIV), and then used exponential random graph models to determine drivers structuring this network. We then evaluated the utility of these drivers in predicting transmission of the analogously transmitted, pathogenic agent, feline leukemia virus (FeLV), and compared FIV-based predictions of outbreak dynamics against empirical FeLV outbreak data. FIV transmission was primarily driven by panther age class and distances between panther home range centroids. FIV-based modeling predicted FeLV dynamics similarly to common modeling approaches, but with evidence that FIV-based predictions captured the spatial structuring of the observed FeLV outbreak. While FIV-based predictions of FeLV transmission performed only marginally better than standard approaches, our results highlight the value of proactively identifying drivers of transmission-even based on analogously-transmitted, apathogenic agents-in order to predict transmission of emerging infectious agents. The identification of underlying drivers of transmission, such as through our workflow here, therefore holds promise for improving predictions of pathogen transmission in novel host populations, and could provide new strategies for proactive pathogen management in human and animal systems.
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Affiliation(s)
- Marie L. J. Gilbertson
- Department of Veterinary Population Medicine, University of Minnesota, Saint Paul, MN, United States
| | | | - Jennifer L. Malmberg
- Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO, United States
- Department of Veterinary Sciences, University of Wyoming, Laramie, WY, United States
| | - Roderick B. Gagne
- Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO, United States
- Wildlife Futures Program, Department of Pathobiology, University of Pennsylvania School of Veterinary Medicine, Kennett Square, PA, United States
| | - Justin S. Lee
- Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO, United States
| | - Simona Kraberger
- The Biodesign Center for Fundamental and Applied Microbiomics, Arizona State University, Tempe, AZ, United States
| | - Sarah Kechejian
- Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO, United States
| | - Raegan Petch
- Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO, United States
| | - Elliott S. Chiu
- Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO, United States
| | - Dave Onorato
- Fish and Wildlife Research Institute, Florida Fish and Wildlife Conservation Commission, Naples, FL, United States
| | - Mark W. Cunningham
- Fish and Wildlife Research Institute, Florida Fish and Wildlife Conservation Commission, Gainesville, FL, United States
| | - Kevin R. Crooks
- Department of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, CO, United States
| | - W. Chris Funk
- Department of Biology, Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO, United States
| | - Scott Carver
- School of Natural Sciences, University of Tasmania, Hobart, TAS, Australia
| | - Sue VandeWoude
- Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO, United States
| | - Kimberly VanderWaal
- Department of Veterinary Population Medicine, University of Minnesota, Saint Paul, MN, United States
| | - Meggan E. Craft
- Department of Veterinary Population Medicine, University of Minnesota, Saint Paul, MN, United States
- Department of Ecology, Evolution and Behavior, University of Minnesota, Saint Paul, MN, United States
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4
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Gagne RB, Crooks KR, Craft ME, Chiu ES, Fountain-Jones NM, Malmberg JL, Carver S, Funk WC, VandeWoude S. Parasites as conservation tools. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2022; 36:e13719. [PMID: 33586245 DOI: 10.1111/cobi.13719] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Accepted: 02/08/2021] [Indexed: 06/12/2023]
Abstract
Parasite success typically depends on a close relationship with one or more hosts; therefore, attributes of parasitic infection have the potential to provide indirect details of host natural history and are biologically relevant to animal conservation. Characterization of parasite infections has been useful in delineating host populations and has served as a proxy for assessment of environmental quality. In other cases, the utility of parasites is just being explored, for example, as indicators of host connectivity. Innovative studies of parasite biology can provide information to manage major conservation threats by using parasite assemblage, prevalence, or genetic data to provide insights into the host. Overexploitation, habitat loss and fragmentation, invasive species, and climate change are major threats to animal conservation, and all of these can be informed by parasites.
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Affiliation(s)
- Roderick B Gagne
- Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, Colorado, USA
| | - Kevin R Crooks
- Department of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, Colorado, USA
| | - Meggan E Craft
- Department of Veterinary Population Medicine, University of Minnesota, St Paul, Minnesota, USA
| | - Elliott S Chiu
- Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, Colorado, USA
| | | | - Jennifer L Malmberg
- Department of Veterinary Sciences, Wyoming State Veterinary Laboratory, University of Wyoming, Laramie, Wyoming, USA
| | - Scott Carver
- School of Natural Sciences, University of Tasmania, Hobart, Tasmania, Australia
| | - W Chris Funk
- Graduate Degree Program in Ecology, Department of Biology, Colorado State University, Fort Collins, Colorado, USA
| | - Sue VandeWoude
- Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, Colorado, USA
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5
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Hunting alters viral transmission and evolution in a large carnivore. Nat Ecol Evol 2022; 6:174-182. [PMID: 35087217 PMCID: PMC10111630 DOI: 10.1038/s41559-021-01635-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 11/24/2021] [Indexed: 11/09/2022]
Abstract
Hunting can fundamentally alter wildlife population dynamics but the consequences of hunting on pathogen transmission and evolution remain poorly understood. Here, we present a study that leverages a unique landscape-scale quasi-experiment coupled with pathogen-transmission tracing, network simulation and phylodynamics to provide insights into how hunting shapes feline immunodeficiency virus (FIV) dynamics in puma (Puma concolor). We show that removing hunting pressure enhances the role of males in transmission, increases the viral population growth rate and increases the role of evolutionary forces on the pathogen compared to when hunting was reinstated. Changes in transmission observed with the removal of hunting could be linked to short-term social changes while the male puma population increased. These findings are supported through comparison with a region with stable hunting management over the same time period. This study shows that routine wildlife management can have impacts on pathogen transmission and evolution not previously considered.
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6
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Liu E, Ma L, Huang S, You D, Guo L, Li X, Xu H, Liu D, Chai H, Wang Y. The first feline immunodeficiency virus from Siberian tigers (Panthera tigris altaica) in northeastern China. Arch Virol 2022; 167:545-551. [DOI: 10.1007/s00705-022-05370-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2021] [Accepted: 12/13/2021] [Indexed: 12/21/2022]
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7
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Alkhamis MA, Fountain‐Jones NM, Aguilar‐Vega C, Sánchez‐Vizcaíno JM. Environment, vector, or host? Using machine learning to untangle the mechanisms driving arbovirus outbreaks. ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2021; 31:e02407. [PMID: 34245639 PMCID: PMC9286057 DOI: 10.1002/eap.2407] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 01/28/2021] [Accepted: 03/03/2021] [Indexed: 06/13/2023]
Abstract
Climatic, landscape, and host features are critical components in shaping outbreaks of vector-borne diseases. However, the relationship between the outbreaks of vector-borne pathogens and their environmental drivers is typically complicated, nonlinear, and may vary by taxonomic units below the species level (e.g., strain or serotype). Here, we aim to untangle how these complex forces shape the risk of outbreaks of Bluetongue virus (BTV); a vector-borne pathogen that is continuously emerging and re-emerging across Europe, with severe economic implications. We tested if the ecological predictors of BTV outbreak risk were serotype-specific by examining the most prevalent serotypes recorded in Europe (1, 4, and 8). We used a robust machine learning (ML) pipeline and 23 relevant environmental features to fit predictive models to 24,245 outbreaks reported in 25 European countries between 2000 and 2019. Our ML models demonstrated high predictive performance for all BTV serotypes (accuracies > 0.87) and revealed strong nonlinear relationships between BTV outbreak risk and environmental and host features. Serotype-specific analysis suggests, however, that each of the major serotypes (1, 4, and 8) had a unique outbreak risk profile. For example, temperature and midge abundance were as the most important characteristics shaping serotype 1, whereas for serotype 4 goat density and temperature were more important. We were also able to identify strong interactive effects between environmental and host characteristics that were also serotype specific. Our ML pipeline was able to reveal more in-depth insights into the complex epidemiology of BTVs and can guide policymakers in intervention strategies to help reduce the economic implications and social cost of this important pathogen.
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Affiliation(s)
- Moh A. Alkhamis
- Department of Epidemiology and BiostatisticsFaculty of Public HeathHealth Sciences CentreKuwait UniversityKuwait City13110Kuwait
| | - Nicholas M. Fountain‐Jones
- School of Natural SciencesUniversity of TasmaniaHobartTasmania7001Australia
- Department of Veterinary Population MedicineCollege of Veterinary MedicineUniversity of MinnesotaSt. PaulMinnesota55108USA
| | - Cecilia Aguilar‐Vega
- VISAVET Health Surveillance Centre and Animal Health DepartmentVeterinary SchoolComplutense University of MadridMadrid28040Spain
| | - José M. Sánchez‐Vizcaíno
- VISAVET Health Surveillance Centre and Animal Health DepartmentVeterinary SchoolComplutense University of MadridMadrid28040Spain
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8
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Host relatedness and landscape connectivity shape pathogen spread in the puma, a large secretive carnivore. Commun Biol 2021; 4:12. [PMID: 33398025 PMCID: PMC7782801 DOI: 10.1038/s42003-020-01548-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Accepted: 11/25/2020] [Indexed: 01/29/2023] Open
Abstract
Urban expansion can fundamentally alter wildlife movement and gene flow, but how urbanization alters pathogen spread is poorly understood. Here, we combine high resolution host and viral genomic data with landscape variables to examine the context of viral spread in puma (Puma concolor) from two contrasting regions: one bounded by the wildland urban interface (WUI) and one unbounded with minimal anthropogenic development (UB). We found landscape variables and host gene flow explained significant amounts of variation of feline immunodeficiency virus (FIV) spread in the WUI, but not in the unbounded region. The most important predictors of viral spread also differed; host spatial proximity, host relatedness, and mountain ranges played a role in FIV spread in the WUI, whereas roads might have facilitated viral spread in the unbounded region. Our research demonstrates how anthropogenic landscapes can alter pathogen spread, providing a more nuanced understanding of host-pathogen relationships to inform disease ecology in free-ranging species.
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9
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Albery GF, Kirkpatrick L, Firth JA, Bansal S. Unifying spatial and social network analysis in disease ecology. J Anim Ecol 2020; 90:45-61. [DOI: 10.1111/1365-2656.13356] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Accepted: 08/24/2020] [Indexed: 01/18/2023]
Affiliation(s)
| | | | - Josh A. Firth
- Department of Zoology Edward Grey Institute University of Oxford Oxford UK
- Merton College Oxford University Oxford UK
| | - Shweta Bansal
- Department of Biology Georgetown University Washington DC USA
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10
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Green J, Jakins C, Asfaw E, Bruschi N, Parker A, de Waal L, D’Cruze N. African Lions and Zoonotic Diseases: Implications for Commercial Lion Farms in South Africa. Animals (Basel) 2020; 10:ani10091692. [PMID: 32962130 PMCID: PMC7552683 DOI: 10.3390/ani10091692] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 09/14/2020] [Accepted: 09/17/2020] [Indexed: 12/30/2022] Open
Abstract
Simple Summary In South Africa, thousands of African lions are bred on farms for commercial purposes, such as tourism, trophy hunting, and traditional medicine. Lions on farms often have direct contact with people, such as farm workers and tourists. Such close contact between wild animals and humans creates opportunities for the spread of zoonotic diseases (diseases that can be passed between animals and people). To help understand the health risks associated with lion farms, our study compiled a list of pathogens (bacteria, viruses, parasites, and fungi) known to affect African lions. We reviewed 148 scientific papers and identified a total of 63 pathogens recorded in both wild and captive lions, most of which were parasites (35, 56%), followed by viruses (17, 27%) and bacteria (11, 17%). This included pathogens that can be passed from lions to other animals and to humans. We also found a total of 83 diseases and clinical symptoms associated with these pathogens. Given that pathogens and their associated infectious diseases can cause harm to both animals and public health, we recommend that the lion farming industry in South Africa takes action to prevent and manage potential disease outbreaks. Abstract African lions (Panthera leo) are bred in captivity on commercial farms across South Africa and often have close contact with farm staff, tourists, and other industry workers. As transmission of zoonotic diseases occurs through close proximity between wildlife and humans, these commercial captive breeding operations pose a potential risk to thousands of captive lions and to public health. An understanding of pathogens known to affect lions is needed to effectively assess the risk of disease emergence and transmission within the industry. Here, we conduct a systematic search of the academic literature, identifying 148 peer-reviewed studies, to summarize the range of pathogens and parasites known to affect African lions. A total of 63 pathogenic organisms were recorded, belonging to 35 genera across 30 taxonomic families. Over half were parasites (35, 56%), followed by viruses (17, 27%) and bacteria (11, 17%). A number of novel pathogens representing unidentified and undescribed species were also reported. Among the pathogenic inventory are species that can be transmitted from lions to other species, including humans. In addition, 83 clinical symptoms and diseases associated with these pathogens were identified. Given the risks posed by infectious diseases, this research highlights the potential public health risks associated with the captive breeding industry. We recommend that relevant authorities take imminent action to help prevent and manage the risks posed by zoonotic pathogens on lion farms.
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Affiliation(s)
- Jennah Green
- World Animal Protection 222 Gray’s Inn Rd., London WC1X 8HB, UK; (J.G.); (E.A.); (N.B.); (A.P.)
| | - Catherine Jakins
- Blood Lion NPC, P.O. Box 1548, Kloof 3640, South Africa; (C.J.); (L.d.W.)
| | - Eyob Asfaw
- World Animal Protection 222 Gray’s Inn Rd., London WC1X 8HB, UK; (J.G.); (E.A.); (N.B.); (A.P.)
| | - Nicholas Bruschi
- World Animal Protection 222 Gray’s Inn Rd., London WC1X 8HB, UK; (J.G.); (E.A.); (N.B.); (A.P.)
| | - Abbie Parker
- World Animal Protection 222 Gray’s Inn Rd., London WC1X 8HB, UK; (J.G.); (E.A.); (N.B.); (A.P.)
| | - Louise de Waal
- Blood Lion NPC, P.O. Box 1548, Kloof 3640, South Africa; (C.J.); (L.d.W.)
| | - Neil D’Cruze
- World Animal Protection 222 Gray’s Inn Rd., London WC1X 8HB, UK; (J.G.); (E.A.); (N.B.); (A.P.)
- Correspondence:
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11
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Kozakiewicz CP, Burridge CP, Funk WC, Craft ME, Crooks KR, Fisher RN, Fountain‐Jones NM, Jennings MK, Kraberger SJ, Lee JS, Lyren LM, Riley SPD, Serieys LEK, VandeWoude S, Carver S. Does the virus cross the road? Viral phylogeographic patterns among bobcat populations reflect a history of urban development. Evol Appl 2020; 13:1806-1817. [PMID: 32908587 PMCID: PMC7463333 DOI: 10.1111/eva.12927] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Revised: 01/03/2020] [Accepted: 01/13/2020] [Indexed: 12/18/2022] Open
Abstract
Urban development has major impacts on connectivity among wildlife populations and is thus likely an important factor shaping pathogen transmission in wildlife. However, most investigations of wildlife diseases in urban areas focus on prevalence and infection risk rather than potential effects of urbanization on transmission itself. Feline immunodeficiency virus (FIV) is a directly transmitted retrovirus that infects many felid species and can be used as a model for studying pathogen transmission at landscape scales. We investigated phylogenetic relationships among FIV isolates sampled from five bobcat (Lynx rufus) populations in coastal southern California that appear isolated due to major highways and dense urban development. Divergence dates among FIV phylogenetic lineages in several cases reflected historical urban growth and construction of major highways. We found strong FIV phylogeographic structure among three host populations north-west of Los Angeles, largely coincident with host genetic structure. In contrast, relatively little FIV phylogeographic structure existed among two genetically distinct host populations south-east of Los Angeles. Rates of FIV transfer among host populations did not vary significantly, with the lack of phylogenetic structure south-east of Los Angeles unlikely to reflect frequent contemporary transmission among populations. Our results indicate that major barriers to host gene flow can also act as barriers to pathogen spread, suggesting potentially reduced susceptibility of fragmented populations to novel directly transmitted pathogens. Infrequent exchange of FIV among host populations suggests that populations would best be managed as distinct units in the event of a severe disease outbreak. Phylogeographic inference of pathogen transmission is useful for estimating the ability of geographic barriers to constrain disease spread and can provide insights into contemporary and historical drivers of host population connectivity.
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Affiliation(s)
| | | | - W. Chris Funk
- Department of BiologyColorado State UniversityFort CollinsCOUSA
- Graduate Degree Program in EcologyColorado State UniversityFort CollinsCOUSA
| | - Meggan E. Craft
- Department of Veterinary Population MedicineUniversity of MinnesotaSt PaulMNUSA
| | - Kevin R. Crooks
- Department of Fish, Wildlife, and Conservation BiologyColorado State UniversityFort CollinsCOUSA
| | - Robert N. Fisher
- Western Ecological Research CenterU.S. Geological SurveySan DiegoCAUSA
| | | | | | - Simona J. Kraberger
- Department of Microbiology, Immunology, and PathologyColorado State UniversityFort CollinsCOUSA
| | - Justin S. Lee
- Department of Microbiology, Immunology, and PathologyColorado State UniversityFort CollinsCOUSA
| | - Lisa M. Lyren
- Western Ecological Research CenterU.S. Geological SurveyThousand OaksCAUSA
| | - Seth P. D. Riley
- National Park ServiceSanta Monica Mountains National Recreation AreaThousand OaksCAUSA
| | - Laurel E. K. Serieys
- Department of Environmental StudiesUniversity of California Santa CruzSanta CruzCAUSA
- Institute for Communities and Wildlife in AfricaBiological SciencesUniversity of Cape TownCape TownSouth Africa
| | - Sue VandeWoude
- Department of Microbiology, Immunology, and PathologyColorado State UniversityFort CollinsCOUSA
| | - Scott Carver
- School of Natural SciencesUniversity of TasmaniaHobartTASAustralia
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12
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Gogarten JF, Calvignac-Spencer S, Nunn CL, Ulrich M, Saiepour N, Nielsen HV, Deschner T, Fichtel C, Kappeler PM, Knauf S, Müller-Klein N, Ostner J, Robbins MM, Sangmaneedet S, Schülke O, Surbeck M, Wittig RM, Sliwa A, Strube C, Leendertz FH, Roos C, Noll A. Metabarcoding of eukaryotic parasite communities describes diverse parasite assemblages spanning the primate phylogeny. Mol Ecol Resour 2019; 20:204-215. [PMID: 31600853 DOI: 10.1111/1755-0998.13101] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Revised: 10/02/2019] [Accepted: 10/07/2019] [Indexed: 11/28/2022]
Abstract
Despite their ubiquity, in most cases little is known about the impact of eukaryotic parasites on their mammalian hosts. Comparative approaches provide a powerful method to investigate the impact of parasites on host ecology and evolution, though two issues are critical for such efforts: controlling for variation in methods of identifying parasites and incorporating heterogeneity in sampling effort across host species. To address these issues, there is a need for standardized methods to catalogue eukaryotic parasite diversity across broad phylogenetic host ranges. We demonstrate the feasibility of a metabarcoding approach for describing parasite communities by analysing faecal samples from 11 nonhuman primate species representing divergent lineages of the primate phylogeny and the full range of sampling effort (i.e. from no parasites reported in the literature to the best-studied primates). We detected a number of parasite families and regardless of prior sampling effort, metabarcoding of only ten faecal samples identified parasite families previously undescribed in each host (x̅ = 8.5 new families per species). We found more overlap between parasite families detected with metabarcoding and published literature when more research effort-measured as the number of publications-had been conducted on the host species' parasites. More closely related primates and those from the same continent had more similar parasite communities, highlighting the biological relevance of sampling even a small number of hosts. Collectively, results demonstrate that metabarcoding methods are sensitive and powerful enough to standardize studies of eukaryotic parasite communities across host species, providing essential new tools for macroecological studies of parasitism.
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Affiliation(s)
- Jan F Gogarten
- Project Group 3: Epidemiology of Highly Pathogenic Microorganisms, Robert Koch Institute Berlin, Berlin, Germany.,Viral Evolution, Robert Koch-Institute Berlin, Berlin, Germany
| | - Sébastien Calvignac-Spencer
- Project Group 3: Epidemiology of Highly Pathogenic Microorganisms, Robert Koch Institute Berlin, Berlin, Germany.,Viral Evolution, Robert Koch-Institute Berlin, Berlin, Germany
| | - Charles L Nunn
- Department of Evolutionary Anthropology, Duke University, Durham, NC, USA.,Duke Global Health Institute, Duke University, Durham, NC, USA
| | - Markus Ulrich
- Project Group 3: Epidemiology of Highly Pathogenic Microorganisms, Robert Koch Institute Berlin, Berlin, Germany
| | - Nasrin Saiepour
- Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research, Goettingen, Germany
| | - Henrik Vedel Nielsen
- Department of Bacteria, Parasites and Fungi, Statens Serum Institut, Copenhagen, Denmark
| | - Tobias Deschner
- Department of Primatology, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Claudia Fichtel
- Behavioral Ecology & Sociobiology Unit, German Primate Center, Goettingen, Germany.,Leibniz Science Campus Primate Cognition, Goettingen, Germany
| | - Peter M Kappeler
- Behavioral Ecology & Sociobiology Unit, German Primate Center, Goettingen, Germany.,Leibniz Science Campus Primate Cognition, Goettingen, Germany.,Department of Sociobiology/Anthropology, Johann-Friedrich-Blumenbach Institute for Zoology, Georg-August University, Goettingen, Germany
| | - Sascha Knauf
- Neglected Tropical Diseases Work Group, Infection Biology Unit, German Primate Center, Leibniz Institute for Primate Research, Goettingen, Germany
| | - Nadine Müller-Klein
- Department of Behavioral Ecology, University of Goettingen, Goettingen, Germany
| | - Julia Ostner
- Leibniz Science Campus Primate Cognition, Goettingen, Germany.,Department of Behavioral Ecology, University of Goettingen, Goettingen, Germany.,Research Group Primate Social Evolution, German Primate Center - Leibniz Institute for Primate Research, Goettingen, Germany
| | - Martha M Robbins
- Department of Primatology, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Somboon Sangmaneedet
- Department of Pathobiology, Faculty of Veterinary Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Oliver Schülke
- Leibniz Science Campus Primate Cognition, Goettingen, Germany.,Department of Behavioral Ecology, University of Goettingen, Goettingen, Germany.,Research Group Primate Social Evolution, German Primate Center - Leibniz Institute for Primate Research, Goettingen, Germany
| | - Martin Surbeck
- Department of Primatology, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.,Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Roman M Wittig
- Department of Primatology, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.,Taï Chimpanzee Project, Centre Suisse de Recherches Scientifiques, Abidjan, Ivory Coast
| | | | - Christina Strube
- Institute for Parasitology, Centre for Infection Medicine, University of Veterinary Medicine Hannover, Hannover, Germany
| | - Fabian H Leendertz
- Project Group 3: Epidemiology of Highly Pathogenic Microorganisms, Robert Koch Institute Berlin, Berlin, Germany
| | - Christian Roos
- Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research, Goettingen, Germany.,Gene Bank of Primates, German Primate Center, Leibniz Institute for Primate Research, Goettingen, Germany
| | - Angela Noll
- Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research, Goettingen, Germany
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13
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Gilbertson MLJ, Fountain-Jones NM, Craft ME. Incorporating genomic methods into contact networks to reveal new insights into animal behavior and infectious disease dynamics. BEHAVIOUR 2019; 155:759-791. [PMID: 31680698 DOI: 10.1163/1568539x-00003471] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Utilization of contact networks has provided opportunities for assessing the dynamic interplay between pathogen transmission and host behavior. Genomic techniques have, in their own right, provided new insight into complex questions in disease ecology, and the increasing accessibility of genomic approaches means more researchers may seek out these tools. The integration of network and genomic approaches provides opportunities to examine the interaction between behavior and pathogen transmission in new ways and with greater resolution. While a number of studies have begun to incorporate both contact network and genomic approaches, a great deal of work has yet to be done to better integrate these techniques. In this review, we give a broad overview of how network and genomic approaches have each been used to address questions regarding the interaction of social behavior and infectious disease, and then discuss current work and future horizons for the merging of these techniques.
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Affiliation(s)
- Marie L J Gilbertson
- Department of Veterinary Population Medicine, University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - Nicholas M Fountain-Jones
- Department of Veterinary Population Medicine, University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - Meggan E Craft
- Department of Veterinary Population Medicine, University of Minnesota, Minneapolis, Minnesota 55455, USA
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14
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Fountain-Jones NM, Packer C, Jacquot M, Blanchet FG, Terio K, Craft ME. Endemic infection can shape exposure to novel pathogens: Pathogen co-occurrence networks in the Serengeti lions. Ecol Lett 2019; 22:904-913. [PMID: 30861289 PMCID: PMC7163671 DOI: 10.1111/ele.13250] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Revised: 11/12/2018] [Accepted: 02/11/2019] [Indexed: 11/30/2022]
Abstract
Pathogens are embedded in a complex network of microparasites that can collectively or individually alter disease dynamics and outcomes. Endemic pathogens that infect an individual in the first years of life, for example, can either facilitate or compete with subsequent pathogens thereby exacerbating or ameliorating morbidity and mortality. Pathogen associations are ubiquitous but poorly understood, particularly in wild populations. We report here on 10 years of serological and molecular data in African lions, leveraging comprehensive demographic and behavioural data to test if endemic pathogens shape subsequent infection by epidemic pathogens. We combine network and community ecology approaches to assess broad network structure and characterise associations between pathogens across spatial and temporal scales. We found significant non‐random structure in the lion‐pathogen co‐occurrence network and identified both positive and negative associations between endemic and epidemic pathogens. Our results provide novel insights on the complex associations underlying pathogen co‐occurrence networks.
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Affiliation(s)
- Nicholas M Fountain-Jones
- Department of Veterinary Population Medicine, University of Minnesota, 1365 Gortner Avenue, St Paul, MN, 55108, USA
| | - Craig Packer
- Department of Ecology Evolution and Behavior, University of Minnesota, St Paul, MN, 55408, USA
| | - Maude Jacquot
- INRA, UMR346 EPIA, Epidémiologie des maladies Animales et zoonotiques, 63122, Saint-Genès-Champanelle, France
| | - F Guillaume Blanchet
- Département de biologie, Université de Sherbrooke, 2500 Boulevard Université, Sherbrooke, QC, Canada, J1K 2R1
| | - Karen Terio
- Zoological Pathology Program, University of Illinois, Urbana-Champaign, IL, USA
| | - Meggan E Craft
- Department of Veterinary Population Medicine, University of Minnesota, 1365 Gortner Avenue, St Paul, MN, 55108, USA
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15
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Kozakiewicz CP, Burridge CP, Funk WC, VandeWoude S, Craft ME, Crooks KR, Ernest HB, Fountain‐Jones NM, Carver S. Pathogens in space: Advancing understanding of pathogen dynamics and disease ecology through landscape genetics. Evol Appl 2018; 11:1763-1778. [PMID: 30459828 PMCID: PMC6231466 DOI: 10.1111/eva.12678] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Revised: 06/24/2018] [Accepted: 06/28/2018] [Indexed: 12/30/2022] Open
Abstract
Landscape genetics has provided many insights into how heterogeneous landscape features drive processes influencing spatial genetic variation in free-living organisms. This rapidly developing field has focused heavily on vertebrates, and expansion of this scope to the study of infectious diseases holds great potential for landscape geneticists and disease ecologists alike. The potential application of landscape genetics to infectious agents has garnered attention at formative stages in the development of landscape genetics, but systematic examination is lacking. We comprehensively review how landscape genetics is being used to better understand pathogen dynamics. We characterize the field and evaluate the types of questions addressed, approaches used and systems studied. We also review the now established landscape genetic methods and their realized and potential applications to disease ecology. Lastly, we identify emerging frontiers in the landscape genetic study of infectious agents, including recent phylogeographic approaches and frameworks for studying complex multihost and host-vector systems. Our review emphasizes the expanding utility of landscape genetic methods available for elucidating key pathogen dynamics (particularly transmission and spread) and also how landscape genetic studies of pathogens can provide insight into host population dynamics. Through this review, we convey how increasing awareness of the complementarity of landscape genetics and disease ecology among practitioners of each field promises to drive important cross-disciplinary advances.
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Affiliation(s)
| | | | - W. Chris Funk
- Department of BiologyGraduate Degree Program in EcologyColorado State UniversityFort CollinsColorado
| | - Sue VandeWoude
- Department of Microbiology, Immunology, and PathologyColorado State UniversityFort CollinsColorado
| | - Meggan E. Craft
- Department of Veterinary Population MedicineUniversity of MinnesotaSt. PaulMinnesota
| | - Kevin R. Crooks
- Department of Fish, Wildlife, and Conservation BiologyColorado State UniversityFort CollinsColorado
| | - Holly B. Ernest
- Wildlife Genomics and Disease Ecology LaboratoryDepartment of Veterinary SciencesUniversity of WyomingLaramieWyoming
| | | | - Scott Carver
- School of Natural SciencesUniversity of TasmaniaHobartTasmaniaAustralia
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16
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Kerr TJ, Matthee S, Govender D, Tromp G, Engelbrecht S, Matthee CA. Viruses as indicators of contemporary host dispersal and phylogeography: an example of feline immunodeficiency virus (FIV P le ) in free-ranging African lion (Panthera leo). J Evol Biol 2018; 31:1529-1543. [PMID: 29964350 DOI: 10.1111/jeb.13348] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Revised: 06/13/2018] [Accepted: 06/18/2018] [Indexed: 11/30/2022]
Abstract
Measuring contemporary dispersal in highly mobile terrestrial species is challenging, especially when species are characterized by low levels of population differentiation. Directly transmitted viruses can be used as a surrogate for traditional methods of tracking host movement. Feline immunodeficiency virus (FIV) is a species-specific lentivirus, which has an exceptionally high mutation rate and circulates naturally in wild felids. Using samples derived from 35 lion (Panthera leo) prides, we tested the prediction that FIV in lions (FIVP le ) can be used to track the dispersal of individuals between prides. As FIVP le subtypes are geographically structured throughout Africa, we predicted that this marker could be used to detect phylogeographic structure of lions at smaller spatial scales. Phylogenetic analyses of FIVP le pol-RT sequences showed that core pride members (females and subadults) shared evolutionary close viral lineages which differed from neighbouring core prides, whereas sequences from sexually mature males associated with the same pride were always the most divergent. In six instances, natal pride associations of divergent male lions could be inferred, on the assumption that FIVP le infections are acquired during early life stages. Congruence between the genetic pattern of FIV and pride structure suggests that vertical transmission plays an important role in lion FIV dynamics. At a fine spatial scale, significant viral geographic structuring was also detected between lions occurring north of the Olifants River within the Kruger National Park (KNP) and those occupying the southern and central regions. This pattern was further supported by phylogenetic analyses and the confinement of FIVP le subtype E to the northern region of KNP. The study provides new insights into the use of retroviral sequences to predict host dispersal and fine-scale contemporary geographic structure in a social felid species.
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Affiliation(s)
- Tanya J Kerr
- Department of Conservation Ecology and Entomology, Faculty of AgriScience, Stellenbosch University, Stellenbosch, South Africa.,Division of Medical Virology, Department of Pathology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.,Evolutionary Genomics Group, Department of Botany and Zoology, Faculty of Science, Stellenbosch University, Stellenbosch, South Africa
| | - Sonja Matthee
- Department of Conservation Ecology and Entomology, Faculty of AgriScience, Stellenbosch University, Stellenbosch, South Africa
| | - Danny Govender
- Scientific Services, SANParks, Skukuza, South Africa.,Department of Paraclinical Sciences, Faculty of Veterinary Science, University of Pretoria, Onderstepoort, South Africa
| | - Gerard Tromp
- Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, SAMRC-SHIP South African Tuberculosis Bioinformatics Initiative (SATBBI), Center for Bioinformatics and Computational Biology, Stellenbosch University, Cape Town, South Africa.,Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, NRF/DST Centre of Excellence for Biomedical Tuberculosis Research, Stellenbosch University, Cape Town, South Africa.,Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, South African Medical Research Council Centre for Tuberculosis Research, Stellenbosch University, Cape Town, South Africa
| | - Susan Engelbrecht
- Division of Medical Virology, Department of Pathology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.,National Health Laboratory Service (NHLS), Tygerberg Coastal, Cape Town, South Africa
| | - Conrad A Matthee
- Evolutionary Genomics Group, Department of Botany and Zoology, Faculty of Science, Stellenbosch University, Stellenbosch, South Africa
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17
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Jones K, Thompson R, Godfrey S. Social networks: a tool for assessing the impact of perturbations on wildlife behaviour and implications for pathogen transmission. BEHAVIOUR 2018. [DOI: 10.1163/1568539x-00003485] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Abstract
Wildlife are increasingly subject to perturbations, which can impact pathogen transmission and lead to disease emergence. While a myriad of factors influence disease dynamics in wildlife, behaviour is emerging as a major influence. In this review, we examine how perturbations alter the behaviour of individuals and how, in turn, disease transmission may be impacted, with a focus on the use of network models as a powerful tool. There are emerging hypotheses as to how networks respond to different types of perturbations. The broad effects of perturbations make predicting potential outcomes and identifying mitigation opportunities for disease emergence critical; yet, the current paucity of data makes identification of underlying trends difficult. Social network analysis facilitates a mechanistic approach to how perturbation-induced behavioural changes result in shifts in pathogen transmission. However, the field is still developing, and future work should strive to address current deficits. There is particular need for empirical data to support modelling predictions and increased inclusion of pathogen monitoring in network studies.
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Affiliation(s)
- K.L. Jones
- aSchool of Veterinary and Life Sciences, Murdoch University, Murdoch, WA 6150, Australia
| | - R.C.A. Thompson
- aSchool of Veterinary and Life Sciences, Murdoch University, Murdoch, WA 6150, Australia
| | - S.S. Godfrey
- aSchool of Veterinary and Life Sciences, Murdoch University, Murdoch, WA 6150, Australia
- bDepartment of Zoology, University of Otago, Dunedin, New Zealand
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