http://orcid.org/0000-0001-7338-5341
Figures
Abstract
Background
Campylobacter is a common, but neglected foodborne-zoonotic pathogen, identified as a growing cause of foodborne disease worldwide. Wildlife and domestic animals are considered important reservoirs, but little is known about pathogen infection dynamics in free-ranging mammalian wildlife particularly in sub-Saharan Africa. In countries like Botswana, there is significant overlap between humans and wildlife, with the human population having one of the highest HIV infection rates in the world, increasing vulnerability to infection.
Methodology/Principal findings
We investigated Campylobacter occurrence in archived human fecal samples (children and adults, n = 122, 2011), feces from free-ranging banded mongooses (Mungos mungo, n = 201), surface water (n = 70), and river sediment samples (n = 81) collected in 2017 from the Chobe District, northern Botswana. Campylobacter spp. was widespread in humans (23.0%, 95% CI 13.9–35.4%), with infections dominantly associated with C. jejuni (82.1%, n = 28, 95% CI 55.1–94.5%). A small number of patients presented with asymptomatic infections (n = 6). While Campylobacter spp. was rare or absent in environmental samples, over half of sampled mongooses tested positive (56%, 95% CI 45.6–65.4%). Across the urban-wilderness continuum, we found significant differences in Campylobacter spp. detection associated with the type of den used by study mongooses. Mongooses utilizing man-made structures as den sites had significantly higher levels of C. jejuni infection (p = 0.019) than mongooses using natural dens. Conversely, mongooses using natural dens had overall higher levels of detection of Campylobacter at the genus level (p = 0.001).
Conclusions
These results suggest that landscape features may have important influences on Campylobacter species exposure and transmission dynamics in wildlife. In particular, data suggest that human-modified landscapes may increase C. jejuni infection, a primarily human pathogen, in banded mongooses. Pathogen circulation and transmission in urbanizing wildlife reservoirs may increase human vulnerability to infection, findings that may have critical implications for both public and animal health in regions where people live in close proximity to wildlife.
Author summary
Campylobacter infections are increasing worldwide but we still know little about the true burden of disease in the developing world, and even less about the role of wildlife and environmental reservoirs in human exposure and infection. Here we take a one-health approach evaluating Campylobacter infections in humans, banded mongooses (Mungos mungo), and the environment. We found evidence of widespread infection with Campylobacter spp. infecting nearly a quarter of sampled adults and children (23.0%, n = 122, 2011), dominantly with C. jejuni. Banded mongooses live in close association with humans in the area and over half of the animals sampled were found positive for Campylobacter spp. (56%, n = 201, 2017). Infection with C. jejuni was greater among mongooses utilizing human-made structures as den sites than those using natural dens. These data suggest that wildlife utilization of anthropogenic landscapes may increase C. jejuni exposure and infection. In turn, pathogen circulation and transmission in urbanizing wildlife reservoirs may increase human vulnerability to infection, particularly impoverished populations, where greater environmental exposures are expected.
Citation: Medley S, Ponder M, Alexander KA (2020) Anthropogenic landscapes increase Campylobacter jejuni infections in urbanizing banded mongoose (Mungos mungo): A one health approach. PLoS Negl Trop Dis 14(3): e0007888. https://doi.org/10.1371/journal.pntd.0007888
Editor: Travis J. Bourret, University of Colorado Health Sciences Center, UNITED STATES
Received: April 4, 2019; Accepted: October 28, 2019; Published: March 17, 2020
Copyright: © 2020 Medley et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: Data cannot be shared publicly on human patients because of confidentiality. Data are available from Botswana Ministry of Health (http://www.moh.gov.bw/) upon request. Data can also be found at: https://doi.org/10.7294/DP3H-RC86. All other relevant data are within the manuscript and its Supporting Information files.
Funding: Support for this work was provided by the National Science Foundation Dynamics of Coupled Natural and Human Systems (Award #1518486, K.A.A, www.nsf.gov) with additional support from the National Science Foundation Ecology and Evolution of Infectious Diseases (Award #1518663, K.A.A, www.nsf.gov). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist
Introduction
Campylobacter spp. are considered the most common cause of foodborne infections globally, causing an estimated 96 million cases of diarrheal illness in 2010[1]. The true burden of infection remains uncertain in many developing countries [2, 3], as is the role of wildlife and environmental reservoirs in transmission [4]. Human illnesses are dominantly associated with C. jejuni, however, other Campylobacter species of clinical significance are emerging [5]. Differences identified in clinical presentation and serotype distribution indicate that reservoirs and patterns of illness differ at both the local and regional scale [6]. Risk factors for contracting campylobacterosis in developing countries are associated with environmental exposures, including animal contact, contaminated food, source of drinking water, and sanitation access [7, 8]. Zoonotic transmission of Campylobacter is thought to occur dominantly from contact with infected livestock and poultry [9]. Wildlife can also act as reservoirs or amplifying hosts, increasing the number of exposure pathways for Campylobacter [10]. The incidence and prevalence of Campylobacter infections in humans appears to be growing in both developing and developed countries [4]. Across many countries in sub-Saharan Africa, Campylobacter is considered to be endemic with both symptomatic and asymptomatic infections a common occurrence [11, 12].
Genetic evidence suggests that the dominant Campylobacter strains circulating are generalists, capable of colonizing both animals and humans, but rarer strains may exist that are adapted to only a single host species [13]. The few studies that were conducted in sub-Saharan African were dominantly focused on bushmeat [16], mammals on game farms [17], and avian species [18]. Detailed studies of Campylobacter in free ranging wildlife are lacking.
Campylobacter spp. persistence in the environment, particularly in soils and water, may also play a key role in pathogen exposure and transmission to humans. Campylobacter can persist through incorporation into biofilms as well as entry into a physiological state referred to as viable but nonculturable (VBNC) where metabolic activity and infectivity is maintained [9, 19]. Strains vary in their ability to survive in the environment with certain strains exhibiting aerotolerance, acid tolerance, and starvation survival adaptations [20]. Viable Campylobacter are also able to extend their survival by infecting amoeba and protozoan species, acting as both a reservoir and vector for infection [21]. Our limited understanding of pathogen exposure and transmission dynamics at the human-animal-environmental interface has challenged development of appropriate public and animal health interventions. There is an urgent need, however, to improve our understanding of environmental and animal reservoir dynamics and exposure and transmission pathways, particularly in regions where HIV/AIDS may increase population vulnerability to infection [22].
In northern Botswana, diarrheal disease remains a persistent health challenge affecting adults and children alike, with the causative agent in most cases remaining unidentified [23]. At the same time, HIV/AIDS infection levels are one of the highest in the world [24, 25], leaving a large proportion of the population more susceptible to enteric pathogens. Studies previously conducted in Botswana found that C. jejuni isolates collected from free-ranging chickens and commercial broiler chickens were closely related to isolates obtained from humans suggesting zoonotic transmission [26]. At the human-wildlife interface, where wildlife diversity and density is high, wildlife reservoirs may also play a crucial role in pathogen transmission to domestic animals and humans, but our understanding of this is limited [14, 15].
Banded mongooses provide an important opportunity to advance our understanding of pathogen transmission and persistence dynamics at the human-wildlife-environmental interface. These small, fossorial animals are able to adapt to human environments, living across both natural and anthropogenically-modified landscapes. They eat primarily invertebrates and small vertebrates, but will rely on human-food resources associated with garbage where this is available. Mongooses also utilize man-made structures as dens if accessible [27]. Pathogenic Leptospira spp. has also been detected in this species across land type in our study site [28], as well as, Mycobacterium mungi, a novel tuberculosis pathogen, transmitted through olfactory communication behavior [29]. This territorial species provides an important opportunity to investigate the way wildlife may be exposed to Campylobacter species across landscape type. In particular, we can begin to investigate how urban landscapes may influence wildlife pathogen exposure and transmission risk, the implications this may have on infection dynamics at the human-wildlife interface, and public and animal health. Our previous research suggests that urban landscapes can have an important influence on banded mongoose behavioral ecology; modifying space use, relaxing territoriality with den sharing, increasing dispersal behaviors, and transmission potential for other pathogens, such as M. mungi. We hypothesize that urban landscapes may have a similar influence on Campylobacter pathogen exposure and infection, particularly environmental exposure to C. jejuni, a primary human pathogen.
Methods
Ethics statement
Human samples were collected from Chobe District health facilities under permit from Ministry of Health (HPSME:13/18/1 Vol. X (878)) and all patient data was anonymized before analysis. Mongoose and environmental samples were collected under permit from the Ministry of Environment, Natural Resources Conservation and Tourism (EWT8/36/4). Approval was also obtained from the Virginia Tech Institutional Review Board (#11–573) and Institutional Animal Care and Use Committee (IACUC, protocol 13-164-FIW) for human and animal work conducted in this study.
Study site
This study was conducted in our long-term study site in northern Botswana along the Chobe River (Fig 1). Chobe National Park is the predominant land area in the district where most of the human population live in the transitioning urban center of Kasane (population 9,008) and the town of Kazungula (population 4,133) [30]. Economic growth is primarily driven by tourism linked to the rich diversity of wildlife resources found in the region. Many tourist lodges surrounding the park concentrate garbage at central, non-animal proof waste sites before periodic disposal at the Kasane landfill. There are no commercial chicken or livestock production systems in the region, although many people keep free-range chickens. The Chobe River supplies domestic water needs, with two conventional water treatment plants treating and distributing the water supply to indoor and outdoor household and public taps [31]. Medical services are subsidized by the government with a small fee charged for health services. There is one laboratory located at the primary hospital in Kasane that analyzes samples collected from government health facilities across the District.
Water and sediment samples were collected on established water sampling transect points. Fecal samples were collected at den sites from study banded mongoose troops living in the region. Satellite imagery was obtained for 2013 from the Landsat 8 Operational Land Imager, available from the U.S. Geological Survey (https://earthexplorer.usgs.gov/).
Sample collection and screening
Human.
Archived human stool samples originating from both healthy (mandatory employment health certification) and clinically ill patients were collected from District health facilities from August 2011-January 2012. Where available, patient demographic data was collected, including date, age, sex, reason for testing, and any positive culture or virus testing results. Samples were classified by the season in which they were collected (wet season: November-March and dry season: April-October). Samples were collected and stored at -20°C until required for DNA extraction and analysis.
Banded mongoose.
We regularly monitored 12 banded mongoose troops using VHF radio collars [32]. Banded mongooses use designated communal latrines, where individuals will defecate as a group, providing an opportunity to sample individuals of the troop without duplication. Fecal samples were collected from latrine sites across 12 study troops from July to August 2017 and in January 2019. Briefly, troops were tracked to their denning site the evening prior to fecal collection using radio telemetry [32]. Fecal samples were collected after the mongooses had used the latrine and moved away from the area. A sterile surgical blade was used to sample from the center of the fecal bolus, which was then transferred into a sterilized 1.5 mL Eppendorf tube. The tube was then placed on ice and transported back to the laboratory for immediate DNA extraction.
Mongoose troop home ranges occurred across five land use types (lodge, national park, residential, undeveloped and urban). Troop land type was identified as the land type dominantly used by the troop over a long-term observation period (2012–2018). These data were also used to calculate the proportion of nights troops were observed in anthropogenic (Fig 2A) or natural (Fig 2B) dens. In contrast to natural den sites, anthropogenic dens were defined as those den sites that were comprised of man-made structures, such as a den site under a foundation, or those associated with human waste (e.g., a pile of scrap metal). Den data was classified into four categories, 1 being lowest proportion of nights in anthropogenic dens and 4 being highest proportion based on quantiles.
(A) Banded mongooses emerging from scrap pile (anthropogenic den) Photo credit: Dr. Peter Laver. (B) Banded mongooses at termite mound (natural den) Photo credit: Dr. Claire Sanderson.
Water and sediment samples.
Water samples were collected and processed using hollow-fiber ultrafiltration as previously published [33]. Hollow-fiber ultrafiltration allows for the simultaneous concentration of bacteria, viruses and parasites from large volumes of water down to approximately 250 mL. From July 2017-August 2017, water (30 L, n = 70) and sediment samples (n = 81) were collected from 16 locations along the Chobe River. For each sampling event, three to five samples were collected a day over a four-day period with a total of four sampling events. Samples were collected in five-gallon collapsible carboys rinsed with 10% bleach and then distilled water at least 12 hours before sample collection. Once collected, water samples were stored on ice or cold packs and processed within 24 hours. Sediment samples were collected in 50 mL tube at each of the 16 locations during the same week. Environmental samples were kept on cold packs until stored at -20°C until further processed. The final volume of retentate was aliquoted into 50 mL tubes and stored at -20˚C until DNA extraction. A negative filtration control with distilled water was filtered and treated the same as samples.
DNA extraction.
Fecal and sediment samples were extracted using the PowerSoil DNA Isolation Kit (Qiagen Inc., Germantown, MD) following a bead beating step and normal manufacturer protocols. Retentate obtained from water samples was thawed in cool water for two to three hours after which 10 mL aliquots were spun down and the pellet resuspended in 800 uL of lysis buffer. DNA was then extracted using the PureLinkTM Microbiome DNA Extraction Kit (#A29790, Life Technologies, Carlsbad, CA) following the manufacturer’s soil protocol.
Detection of Campylobacter spp.
The DNA extracts were screened for Campylobacter spp. using polymerase chain reaction (PCR) and genus level primers that targeted the 16s rRNA gene (Table 1 [34]). Briefly, the PCR contained 0.5 μM each primer, 1 x HotstarTaq Master Mix (Qiagen, Germantown, MD), 1 μL template DNA, and molecular grade water to reach a 20 μL reaction. All PCR reactions were conducted on MyCycler™ thermocycler (Bio-Rad, Hercules, CA). Cycling conditions were set at 95°C for 5 minutes for initial denaturation, 95°C for 30 seconds, primer annealing at 56°C for 30 seconds, and extension at 72°C for 30 seconds for 35 cycles, with a final extension for 4 minutes [35]. Laboratory synthesized fragments (gBlocks, Integrated DNA Technologies Inc., Coralville, IA) containing the same fragment amplified by the primer pairs were used as positive control and a negative (water) control were run with each round of PCR. Negative controls were used to establish lack of non-specific bands of the target molecular weight range. PCR products were visualized on a 1% (w/v) agarose gel stained with ethidium bromide.
DNA samples that were positive for Campylobacter genus were then screened for C. jejuni, C. coli, C. lari, C. fetus, C hyointestinalis, C. upsaliensis, and C. ureolyticus using uniplex species-specific PCR assays adapted from Bullman et al. [43] with primer pairs and annealing temperatures listed in Table 1. Each reaction consisted of 1 x HotstarTaq Master Mix (Qiagen, Germantown, MD), 2–3 μL template DNA and 1 μM of each primer. The final volume was adjusted to 25 μL with molecular grade water. Positive gBlocks controls and a negative (water) control were run with each round of PCR. All PCR reactions were conducted on MyCycler™ thermocycler (Bio-Rad, Hercules, CA) with one cycle of 95 ˚C for 5 min, followed by 35 cycles of 95 ˚C for 30 seconds, annealing temp for 1 min and 72 ˚C for 1 min and ending with a final extension time at 72 ˚C for 7 min. PCR products were visualized on a 1.5% (w/v) agarose gel stained with ethidium bromide. Samples that were positive using Campylobacter genus primers but negative for the seven selected species were classified as unknown Campylobacter spp.
Statistical analysis
Pearson’s Chi-square test was used to evaluate differences in Campylobacter and C. jejuni prevalence by land use and den type. Pearson’s Chi-square test was also used to evaluate the difference in Campylobacter prevalence in human samples based on age group and season. Wilson score method was used to estimate 95% confidence intervals with Bonferroni adjustments made for multiple comparisons. Figures were made in R version 3.4.4 and Chi-square tests were performed in JMP Pro 14.
Results
Almost a quarter of all human samples collected from patients at local health facilities were positive for Campylobacter spp. (23.0%, n = 122, 95% CI 13.9–35.4%). The mean age of Campylobacter infection was 26 (range 6 months-62 years). Children under five years of age (26.5%, n = 34, 95% CI 13.4–45.6%) had similar prevalence levels (P = 0.645) to that found in older children and adults (22.0%, n = 82, 95% CI 12.4–32.3%) (Table 2). At least six samples positive for Campylobacter spp. were from adult patients with no gastrointestinal symptoms; four of those patients were positive for C. jejuni and two could not be identified at the species level. C. jejuni was the most commonly identified species, representing 82.1% (n = 28, 95% CI 55.1–94.5%) of Campylobacter-positive samples. Two samples were positive for C. coli, one sample was positive for C. fetus, and two samples could not be identified at the species level. We did not detect any human infections with C. lari, C. upsaliensis, C. hyointestinalis, and C. ureolyticus. There was no variation in infection by season (P = 0.153), with 24.3% of dry season samples (n = 74, 95% CI 15.0–36.9%) and 29.4% of wet season samples (n = 34, 95% CI 15.5–48.6%) positive for Campylobacter spp. (Table 2).
We evaluated 201 fecal samples from 12 mongoose study troops. Of these, 56% (n = 201; 95% CI 45.6–65.4%) were found positive for Campylobacter genus DNA. Of genus-positive samples, infection with one of the seven tested organisms could only be identified for 52.7% of the screened mongoose fecal samples (n = 112, 95% CI 43.5–61.7%). While most were positive for only one of the tested species, one mongoose fecal sample (MOW troop) tested positive for three species (C. jejuni, C. lari, and C. coli). Across sampled mongooses, C. jejuni was the dominant species identified, accounting for 49.1% (n = 112, 95% CI 36.1–62.3%) of Campylobacter-positive samples. Indeed, C. jejuni infections were discovered across nearly a third of all the mongooses sampled in the study system (27.4%, n = 201, 95% CI 21.7–34.0%) (Table 3). Other species were sparsely identified, including C. fetus, C. coli, and C. lari. As with the human samples, we did not detect C. upsaliensis, C. hyointestinalis, or C. ureolyticus in sampled mongooses (Fig 3).
The highlighted red box represents results obtained from a single mongoose in the MOW troop that was positive for three Campylobacter species.
There was no significant variation in occurrence of Campylobacter spp in fecal samples by land use. However, when examining den type (natural or anthropogenic) and Campylobacter spp. infections in banded mongooses, we found significant differences in patterns of infection by den type (p = 0.001, Table 4). Across troops, 89% (n = 412) of the time mongooses were observed using anthropogenic dens (range 67%-100%). Troops that denned more frequently in natural den sites had an elevated prevalence of Campylobacter spp. overall (80.8%, n = 26, 95% CI 43.4–95.8%). However, troops that used anthropogenic sites had significantly greater levels C. jejuni (P = 0.019, Table 3).
Land use areas used by mongoose troops were classified into five land use types (i.e., lodge, national park, residential, undeveloped and urban) with dominate land type used by each troop calculated from the total number of observations obtained from 2012 to 2018. The proportion of nights spent in anthropogenic dens was calculated for each troop based on the total number of den observations from 2012–2018, and classified into four categories based on quantiles, with 1 being the lowest and 4 being the highest.
All screened water samples were negative for Camyplobacter spp. (n = 70, 95% CI 0.0–5.2%). One river sediment sample was positive for Camplyobacter spp. (n = 81, 0.2–6.7%) during a sampling event on August 1, 2017, but was negative for the seven assessed species.
Discussion
Across the globe, urbanization and anthropogenic land change is occurring at an unprecedented rate, with uncertain impacts on infectious disease transmission and human and animal health [44]. In this study, we found widespread carriage of Campylobacter spp. in both humans and banded mongooses, but environmental detection was either absent or rare. Of critical significance was the identification of increased carriage of the zoonotic pathogen, C. jejuni, in mongoose troops that used anthropogenic den sites (e.g., mongoose dens associated with man-made structures or materials) in close association with human populations (p = 0.019). In contrast, troops that had a higher proportion of nights in natural den sites had an elevated occurrence of Campylobacter spp. overall (p = 0.001). Mongoose troops have varying levels of access to human garbage, human sewage, and human and domestic animal waste [45], with some troops relying more heavily on these anthropogenic resources. Data suggest these urbanizing behaviors in banded mongooses may be associated with increased exposures to human sources of C. jejuni in the environment.
Human infections with Campylobacter
In sampled humans, Campylobacter was detected in 23% of sampled patients with no difference in Campylobacter spp. occurrence by age group. Surprisingly, in our study adults and older children were infected as frequently as children under five years of age, findings that diverge from other studies where infection has been dominantly found in young children (reviewed in [46]). This could be due to the increased number of immunocompromised individuals in the population and greater susceptibility to infection related to the high burden of HIV/AIDs infection in the region [47], or because of the inclusion of healthy adults in this study who may have protective immunity to Campylobacter and would not normally be screened for infection (reviewed in [48]). Detection of asymptomatic Campylobacter spp. infections in the human population indicates Campylobacter is endemic in this population, findings observed in other sub-Saharan African countries [49]. The presence of asymptomatic infections has important implications to Campylobacter spp. epidemiology, surveillance and risk assessment, complicating public health prevention and control strategies [48].
The majority of Campylobacter-positive human samples (82.1%) were C. jejuni, which is similar to previous reports for southern Botswana (94.7%, 95% CI 75.4–99.1%) [26]. The nature of environmental reservoirs may influence exposure and transmission of Campylobacter species with C. jejuni appearing to have a greater survival in the environment than other species (reviewed in [9]). Although seasonality has been a prominent feature of Campylobacter infections in western countries [50], there was no difference in Campylobacter occurrence by season in this study. A lack of seasonality in Campylobacter spp. has also been observed in other developing countries [51], and may be related to warmer ambient temperatures in tropical regions [52]. Human samples were not collected over the same sampling time as mongoose and environmental samples which limits direct comparison, however, these results provide evidence that Campylobacter spp. infections occur in this population, and in 2011 were widespread in patients presenting to local health facilities.
Campylobacter spp. presence in banded mongooses
Over half of the mongooses sampled in this study tested positive for Campylobacter spp. which is higher than any other surveyed mammalian species [53–55], and some avian hosts [14, 18]. One mongoose fecal sample (MOW troop) tested positive for three Campylobacter species (C. jejuni, C. lari, and C. coli). C. jejuni was the dominant species identified, infecting nearly a third of all mongooses sampled in the study (27.4%, n = 201, 95% CI 21.7–34.0%, Table 3). Campylobacter species detection was similar to that observed in humans from the region.
This is the first report of Campylobacter infection in banded mongooses and the only report of this pathogen in wildlife in Botswana, findings that have clear implication to both human and animal health given the propensity for banded mongooses to adapt to urbanizing environments. Campylobacter spp. has previously has been found in the small Indian mongoose (Herpestes auropunctatus), a predominantly solitary species, but at significantly lower levels (2.4–9%) [56, 57] then that found in banded mongooses (56%, 95% CI 46–65%). A number of banded mongoose behaviors may contribute to observed elevations in infection. Banded mongooses, for example, are known to scavenge in human waste, a risk factor for Campylobacter carriage in wild birds [58]. Mongooses will forage for insects in the feces of other species, in particular large ruminants [59]. They are also a fossorial species, denning in the ground and foraging in soil [60], potentially increasing exposure to soil-associated Campylobacter. Banded mongooses are also highly social and behaviors, such as allogrooming, anogenital inspection, and scent marking with feces, in association with olfactory communication behaviors, may also increase microbial exposure and transmission within mongoose social networks [61]. Den sharing by multiple troops can also occur in urban and lodge environments [62]. Differentiation in infection status and species by behavior and ecological niche have been observed in bird species, with bird species that foraged at ground level having higher Campylobacter prevalence than aerial or arboreal species [63].
Environmental samples
In this study, only one sediment sample were positive for Campylobacter spp. and we were unable to detect the organism in water samples. False-negatives are common and have occurred even when Campylobacter is implicated in large waterborne outbreaks [64]. Environmental Campylobacter spp. can be difficult to detect using PCR as the organism is likely present in low numbers compared to more abundant environmental microbes and there is potential for high concentration of PCR inhibitors [65]. Despite detection limitations, Campylobacter spp. have been found in a wide variety of environmental samples in other studies, including biofilms on rock, wood, water, and sediment in riverine systems [66], and have been connected to multiple waterborne outbreaks from community water supplies contaminated after chlorination failure, heavy rainfall, or sewage intrusion (reviewed in [67]). The one positive sediment sample in this study was located at a popular community recreation spot downstream of an area where wastewater treatment effluent is known to enter the Chobe River. The overall low incidence in water and sediment samples in this study suggests that waterborne transmission between humans and wildlife is less likely than direct contact with anthropogenic wastes but does not rule out sporadic cases.
Conclusion
Zoonotic pathogens such as Campylobacter are on the rise across the globe in vulnerable populations [68]. There is a pressing need to improve our understanding of Campylobacter transmission dynamics at the human-domestic animal-wildlife-environment interface and the manner in which landscape transformation may influence human and animal exposure and infection dynamics. Variation in Campylobacter spp. infection patterns across banded mongoose troops suggests that human-transformed landscapes may influence pathogen exposure and transmission potential. Here, banded mongoose territorial behavior provides a unique opportunity to evaluate the potential for landscape features to influence pathogen transmission and persistence dynamics, information essential for prevention and infection control. Development of effective public health policy will require that we refine our understanding of human-animal-environmental couplings in pathogen transmission and persistence dynamics.
Acknowledgments
We would like to thank the Government of Botswana Ministry of Health, Ministry of Environment Wildlife and Tourism, and the Department of Wildlife and National Parks for their support on this project. We are grateful to Dr. Mark Vandewalle and the CARACAL team that contributed to data collection. We also thank Kelton Verble for his contribution to sample collection and Dr. Claire Sanderson for assistance with figures.
References
- 1. Kirk MD, Pires SM, Black RE, Caipo M, Crump JA, Devleesschauwer B, et al. World Health Organization estimates of the global and regional disease burden of 22 foodborne bacterial, protozoal, and viral diseases, 2010: a data synthesis. PLoS Med. 2015;12(12):e1001921. pmid:26633831
- 2. Platts-Mills JA, Kosek M. Update on the burden of Campylobacter in developing countries. Curr Opin Infect Dis. 2014;27(5):444. pmid:25023741
- 3. Acheson D, Allos BM. Campylobacter jejuni infections: update on emerging issues and trends. Clin Infect Dis. 2001;32(8):1201–6. pmid:11283810
- 4. Kaakoush NO, Castaño-Rodríguez N, Mitchell HM, Man SM. Global epidemiology of Campylobacter infection. Clin Microbiol Rev. 2015;28(3):687–720. pmid:26062576
- 5. Man SM. The clinical importance of emerging Campylobacter species. Nat Rev Gastroenterol Hepatol. 2011;8(12):669. pmid:22025030
- 6. Alam K, Lastovica AJ, le Roux E, Hossain MA, Islam MN, Sen SK, et al. Clinical characteristics and serotype distribution of Campylobacter jejuni and Campylobacter coli isolated from diarrhoeic patients in Dhaka, Bangladesh, and Cape Town, South Africa. Banglad J Microbiol. 2006;23(2):121–4.
- 7. Lengerh A, Moges F, Unakal C, Anagaw B. Prevalence, associated risk factors and antimicrobial susceptibility pattern of Campylobacter species among under five diarrheic children at Gondar University Hospital, Northwest Ethiopia. BMC Pediatr. 2013;13(1):1.
- 8. Kapperud G, Espeland G, Wahl E, Walde A, Herikstad H, Gustavsen S, et al. Factors associated with increased and decreased risk of Campylobacter infection: a prospective case-control study in Norway. Am J Epidemiol. 2003;158(3):234–42. pmid:12882945
- 9. Bronowski C, James CE, Winstanley C. Role of environmental survival in transmission of Campylobacter jejuni. FEMS Microbiol Lett. 2014;356(1):8–19. pmid:24888326
- 10.
Wagenaar JA, Newell DG, Kalupahana RS, Mughini-Gras L. Campylobacter: animal reservoirs, human infections, and options for control. Zoonoses-infections affecting humans and animals. Netherlands: Springer; 2015. p. 159–77.
- 11. Mason J, Iturriza-Gomara M, O’Brien SJ, Ngwira BM, Dove W, Maiden MC, et al. Campylobacter infection in children in Malawi is common and is frequently associated with enteric virus co-infections. PLoS One. 2013;8(3):e59663. pmid:23555739
- 12. Platts-Mills JA, Liu J, Gratz J, Mduma E, Amour C, Swai N, et al. Campylobacter detection and significance in stool by culture, enzyme immunoassay, and PCR in developing country settings. J Clin Microbiol. 2014:JCM. 02935–13.
- 13. Gripp E, Hlahla D, Didelot X, Kops F, Maurischat S, Tedin K, et al. Closely related Campylobacter jejuni strains from different sources reveal a generalist rather than a specialist lifestyle. BMC Genomics. 2011;12(1):584.
- 14. Sippy R, Sandoval-Green CM, Sahin O, Plummer P, Fairbanks WS, Zhang Q, et al. Occurrence and molecular analysis of Campylobacter in wildlife on livestock farms. Vet Microbiol. 2012;157(3–4):369–75. pmid:22266157
- 15. Greig J, Rajić A, Young I, Mascarenhas M, Waddell L, LeJeune J. A scoping review of the role of wildlife in the transmission of bacterial pathogens and antimicrobial resistance to the food chain. Zoonoses Public Health. 2015;62(4):269–84. pmid:25175882
- 16. Bachand N, Ravel A, Onanga R, Arsenault J, Gonzalez J-P. Public health significance of zoonotic bacterial pathogens from bushmeat sold in urban markets of Gabon, Central Africa. J Wildl Dis. 2012;48(3):785–9. pmid:22740547
- 17. Julien C-K, Bernadette G, Stephane KK, Stephane KK, Forget KG, Hortense F-K, et al. Emergence of Campylobacter spp. in grasscutter (Thryonomys swinderianus, Temminck, 1827). Asian Pac J Trop Dis. 2013;3(4):320.
- 18. Moré E, Ayats T, Ryan PG, Naicker PR, Keddy KH, Gaglio D, et al. Seabirds (Laridae) as a source of Campylobacter spp., Salmonella spp. and antimicrobial resistance in South Africa. Environ Microbiol. 2017;19(10):4164–76. pmid:28752962
- 19. Gunther IV NW, Chen C-Y. The biofilm forming potential of bacterial species in the genus Campylobacter. Food Microbiol. 2009;26(1):44–51. pmid:19028304
- 20. Murphy C, Carroll C, Jordan KN. Environmental survival mechanisms of the foodborne pathogen Campylobacter jejuni. J Appl Microbiol. 2006;100(4):623–32. pmid:16553716
- 21. Axelsson-Olsson D, Waldenström J, Broman T, Olsen B, Holmberg M. Protozoan Acanthamoeba polyphaga as a potential reservoir for Campylobacter jejuni. Appl Environ Microbiol. 2005;71(2):987–92. pmid:15691957
- 22. Obi CL, Bessong PO. Diarrhoeagenic bacterial pathogens in HIV-positive patients with diarrhoea in rural communities of Limpopo province, South Africa. J Health Popul Nutr. 2002:230–4. pmid:12430759
- 23. Alexander KA, Blackburn JK. Overcoming barriers in evaluating outbreaks of diarrheal disease in resource poor settings: assessment of recurrent outbreaks in Chobe District, Botswana. BMC Public Health. 2013;13(1):775.
- 24.
Botswana S. Preliminary results: Botswana AIDS Impact Survey IV (BAIS IV). Gaborone: Botswana Government, 2013.
- 25. Lew EA, Poles MA, Dieterich DT. Diarrheal diseases associated with HIV infection. Gastroenterol Clin North Am. 1997;26(2):259–90. pmid:9187925
- 26. De Vries SP, Vurayai M, Holmes M, Gupta S, Bateman M, Goldfarb D, et al. Phylogenetic analyses and antimicrobial resistance profiles of Campylobacter spp. from diarrhoeal patients and chickens in Botswana. PLoS One. 2018;13(3):e0194481. pmid:29561903
- 27. Gilchrist JS, Otali E. The effects of refuse-feeding on home-range use, group size, and intergroup encounters in the banded mongoose. Can J Zool. 2002;80(10):1795–802.
- 28. Jobbins SE, Sanderson CE, Alexander KA. Leptospira interrogans at the Human–Wildlife Interface in Northern Botswana: A Newly Identified Public Health Threat. Zoonoses Public Health. 2014;61(2):113–23. pmid:23672285
- 29. Alexander KA, Sanderson CE, Larsen MH, Robbe-Austerman S, Williams MC, Palmer MV. Emerging tuberculosis pathogen hijacks social communication behavior in the group-living banded mongoose (Mungos mungo). MBio. 2016;7(3):e00281–16. pmid:27165798
- 30.
Botswana S. Chobe District: Population and housing census 2011 selected indicators. Gaborone, Botswana Botswana Government CSO; 2015.
- 31. Alexander KA, Heaney AK, Shaman J. Hydrometeorology and flood pulse dynamics drive diarrheal disease outbreaks and increase vulnerability to climate change in surface-water-dependent populations: A retrospective analysis. PLoS Med. 2018;15(11):e1002688. pmid:30408029
- 32. Laver PN, Ganswindt A, Ganswindt SB, Alexander KA. Non-invasive monitoring of glucocorticoid metabolites in banded mongooses (Mungos mungo) in response to physiological and biological challenges. Gen Comp Endocrinol. 2012;179(2):178–83. pmid:22926328
- 33.
Wuertz S, Bambic D, McBride G, Miller W. Quantification of Pathogens and Sources of Microbial Indicators for QMRA in Recreational Waters. Alexandria, VA: Water Environment Research Foundation; 2011.
- 34. Linton D, Owen R, Stanley J. Rapid identification by PCR of the genus Campylobacter and of five Campylobacter species enteropathogenic for man and animals. Res Microbiol. 1996;147(9):707–18. pmid:9296105
- 35. Mohan V. Faeco-prevalence of Campylobacter jejuni in urban wild birds and pets in New Zealand. BMC Res Notes. 2015;8(1):1.
- 36. Wang RF, Slavik MF, Cao W-W. A rapid PCR method for direct detection of low numbers of Campylobacter jejuni. J Rapid Methods Autom Microbiol. 1992;1(2):101–8.
- 37. Linton D, Lawson A, Owen R, Stanley J. PCR detection, identification to species level, and fingerprinting of Campylobacter jejuni and Campylobacter coli direct from diarrheic samples. J Clin Microbiol. 1997;35(10):2568–72. pmid:9316909
- 38. Wang G, Clark CG, Taylor TM, Pucknell C, Barton C, Price L, et al. Colony multiplex PCR assay for identification and differentiation of Campylobacter jejuni, C. coli, C. lari, C. upsaliensis, and C. fetus subsp. fetus. J Clin Microbiol. 2002;40(12):4744–7. pmid:12454184
- 39. Hum S, Quinn K, Brunner J. Evaluation of a PCR assay for identification and differentiation of Campylobacter fetus subspecies. Aust Vet J. 1997;75(11):827–31. pmid:9404619
- 40. Inglis GD, Kalischuk LD. Use of PCR for direct detection of Campylobacter species in bovine feces. Appl Environ Microbiol. 2003;69(6):3435–47. pmid:12788747
- 41. Bullman S, Corcoran D, O'Leary J, Lucey B, Byrne D, Sleator RD. Campylobacter ureolyticus: an emerging gastrointestinal pathogen? FEMS Immunol Med Microbiol. 2011;61(2):228–30. pmid:21320172
- 42.
Carrillo CD, Kenwell R, Iugovaz I, Oyarzabal OA. Recovery of Campylobacter spp. from Food and Environmental Sources. Campylobacter jejuni: Springer; 2017. p. 9–18.
- 43. Bullman S, O'leary J, Corcoran D, Sleator R, Lucey B. Molecular-based detection of non-culturable and emerging campylobacteria in patients presenting with gastroenteritis. Epidemiol Infect. 2012;140(4):684–8. pmid:21676357
- 44. Brearley G, Rhodes J, Bradley A, Baxter G, Seabrook L, Lunney D, et al. Wildlife disease prevalence in human‐modified landscapes. Biological Reviews. 2013;88(2):427–42. pmid:23279314
- 45. Laver PN, Alexander KA. Association with humans and seasonality interact to reverse predictions for animal space use. Mov Eco. 2018;6(1):5.
- 46. Coker AO, Isokpehi RD, Thomas BN, Amisu KO, Obi CL. Human Campylobacteriosis in developing countries. Emerg Infect Dis. 2002;8(3):237. pmid:11927019
- 47. Perlman DM, Ampel NM, Schifman RB, Cohn DL, Patton CM, Aguirre ML, et al. Persistent Campylobacter jejuni infections in patients infected with human immunodeficiency virus (HIV). Ann Intern Med. 1988;108(4):540–6. pmid:3348562
- 48. Havelaar AH, van Pelt W, Ang CW, Wagenaar JA, van Putten JP, Gross U, et al. Immunity to Campylobacter: its role in risk assessment and epidemiology. Crit Rev Microbiol. 2009;35(1):1–22. pmid:19514906
- 49. Komba EV, Mdegela RH, Msoffe P, Nielsen LN, Ingmer H. Prevalence, antimicrobial resistance and risk factors for thermophilic Campylobacter infections in symptomatic and asymptomatic humans in Tanzania. Zoonoses Public Health. 2015;62(7):557–68. pmid:25753615
- 50. Kovats RS, Edwards SJ, Charron D, Cowden J, D’Souza RM, Ebi KL, et al. Climate variability and Campylobacter infection: an international study. Int J Biometeorol. 2005;49(4):207–14. pmid:15565278
- 51. Lee G, Pan W, Yori PP, Olortegui MP, Tilley D, Gregory M, et al. Symptomatic and asymptomatic Campylobacter infections associated with reduced growth in Peruvian children. PLoS Negl Trop Dis. 2013;7(1):e2036. pmid:23383356
- 52. Yun J, Greiner M, Höller C, Messelhäusser U, Rampp A, Klein G. Association between the ambient temperature and the occurrence of human Salmonella and Campylobacter infections. Sci Rep. 2016;6:28442. pmid:27324200
- 53. Carbonero A, Paniagua J, Torralbo A, Arenas-Montes A, Borge C, García-Bocanegra I. Campylobacter infection in wild artiodactyl species from southern Spain: Occurrence, risk factors and antimicrobial susceptibility. Comp Immunol Microbiol Infect Dis. 2014;37(2):115–21. pmid:24462184
- 54. Hazeleger WC, Jacobs-Reitsma WF, Lina PHC, de Boer AG, Bosch T, van Hoek AHAM, et al. Wild, insectivorous bats might be carriers of Campylobacter spp. PLoS One. 2018;13(1):e0190647–e. pmid:29324839.
- 55. Meerburg BG, Jacobs-Reitsma WF, Wagenaar JA, Kijlstra A. Presence of Salmonella and Campylobacter spp. in Wild Small Mammals on Organic Farms. Appl Environ Microbiol. 2006;72(1):960–2. pmid:16391145
- 56. Miller S, Amadi V, Bekele AZ, Zieger U, Hariharan H, Stone D. Identification of human and poultry Campylobacter sequence types in small Indian mongooses (Herpestesauropunctatus) in Grenada, West Indies. Int J Vet Med. 2014;2014:1–6.
- 57. Rhynd KJ, Leighton PA, Elcock DA, Whitehall PJ, Rycroft A, Macgregor SK. Prevalence of Salmonella spp. and thermophilic Campylobacter spp. in the small Asian mongoose (Herpestes javanicus) in Barbados, West Indies. Journal of Zoo and Wildlife Medicine. 2014;45(4):911–4. pmid:25632681
- 58. Kapperud G, Rosef O. Avian wildlife reservoir of Campylobacter fetus subsp. jejuni, Yersinia spp., and Salmonella spp. in Norway. Appl Environ Microbiol. 1983;45(2):375–80. pmid:6338824
- 59. Pesapane R, Ponder M, Alexander K. Tracking pathogen transmission at the human–wildlife interface: banded mongoose and Escherichia coli. Ecohealth. 2013;10(2):115–28. pmid:23612855
- 60. Rood JP. Population dynamics and food habits of the banded mongoose. Afr J Ecol. 1975;13(2):89–111.
- 61. Tung J, Barreiro LB, Burns MB, Grenier J-C, Lynch J, Grieneisen LE, et al. Social networks predict gut microbiome composition in wild baboons. eLife. 2015;4.
- 62. Nichols CA, Alexander KA. Characteristics of banded mongoose (Mungos mungo) den sites across the human-wildlife interface in Northern Botswana. Mamm Biol. 2019;97:80–7. https://doi.org/10.1016/j.mambio.2019.03.005.
- 63. Waldenström J, Broman T, Carlsson I, Hasselquist D, Achterberg RP, Wagenaar JA, et al. Prevalence of Campylobacter jejuni, Campylobacter lari, and Campylobacter coli in different ecological guilds and taxa of migrating birds. Appl Environ Microbiol. 2002;68(12):5911–7. pmid:12450810
- 64. Jakopanec I, Borgen K, Vold L, Lund H, Forseth T, Hannula R, et al. A large waterborne outbreak of campylobacteriosis in Norway: the need to focus on distribution system safety. BMC Infect Dis. 2008;8(1):128.
- 65. Abulreesh HH, Paget TA, Goulder R. Campylobacter in waterfowl and aquatic environments: incidence and methods of detection. Environ Sci Technol. 2006;40(23):7122–31. pmid:17180958
- 66. Maal-Bared R, Bartlett KH, Bowie WR, Hall ER. Campylobacter spp. distribution in biofilms on different surfaces in an agricultural watershed (Elk Creek, British Columbia): Using biofilms to monitor for Campylobacter. Int J Hyg Environ Health. 2012;215(3):270–8. pmid:22204983
- 67. Pitkänen T. Review of Campylobacter spp. in drinking and environmental waters. J Microbiol Methods. 2013;95(1):39–47. pmid:23810971
- 68. Christou L. The global burden of bacterial and viral zoonotic infections. Clin Microbiol Infect. 2011;17(3):326–30. pmid:21129102