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Backus L, Foley P, Foley J. A compartment and metapopulation model of Rocky Mountain spotted fever in southwestern United States and northern Mexico. Infect Dis Model 2024; 9:713-727. [PMID: 38659493 PMCID: PMC11039326 DOI: 10.1016/j.idm.2024.04.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 03/25/2024] [Accepted: 04/12/2024] [Indexed: 04/26/2024] Open
Abstract
Rocky Mountain spotted fever (RMSF) is a fatal tick-borne zoonotic disease that has emerged as an epidemic in western North America since the turn of the 21st century. Along the US south-western border and across northern Mexico, the brown dog tick, Rhipicephalus sanguineus, is responsible for spreading the disease between dogs and humans. The widespread nature of the disease and the ongoing epidemics contrast with historically sporadic patterns of the disease. Because dogs are amplifying hosts for the Rickettsia rickettsii bacteria, transmission dynamics between dogs and ticks are critical for understanding the epidemic. In this paper, we developed a compartment metapopulation model and used it to explore the dynamics and drivers of RMSF in dogs and brown dog ticks in a theoretical region in western North America. We discovered that there is an extended lag-as much as two years-between introduction of the pathogen to a naïve population and epidemic-level transmission, suggesting that infected ticks could disseminate extensively before disease is detected. A single large city-size population of dogs was sufficient to maintain the disease over a decade and serve as a source for disease in surrounding smaller towns. This model is a novel tool that can be used to identify high risk areas and key intervention points for epidemic RMSF spread by brown dog ticks.
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Affiliation(s)
- Laura Backus
- School of Veterinary Medicine, Department of Medicine and Epidemiology, University of California, Davis, CA, USA
| | - Patrick Foley
- Department of Biological Sciences, California State University, Sacramento, CA, USA
| | - Janet Foley
- School of Veterinary Medicine, Department of Medicine and Epidemiology, University of California, Davis, CA, USA
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2
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Fellin E, Varin M, Millien V. Risky business: human-related data is lacking from Lyme disease risk models. Front Public Health 2023; 11:1113024. [PMID: 38026346 PMCID: PMC10662633 DOI: 10.3389/fpubh.2023.1113024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 10/09/2023] [Indexed: 12/01/2023] Open
Abstract
Used as a communicative tool for risk management, risk maps provide a service to the public, conveying information that can raise risk awareness and encourage mitigation. Several studies have utilized risk maps to determine risks associated with the distribution of Borrelia burgdorferi, the causal agent of Lyme disease in North America and Europe, as this zoonotic disease can lead to severe symptoms. This literature review focused on the use of risk maps to model distributions of B. burgdorferi and its vector, the blacklegged tick (Ixodes scapularis), in North America to compare variables used to predict these spatial models. Data were compiled from the existing literature to determine which ecological, environmental, and anthropic (i.e., human focused) variables past research has considered influential to the risk level for Lyme disease. The frequency of these variables was examined and analyzed via a non-metric multidimensional scaling analysis to compare different map elements that may categorize the risk models performed. Environmental variables were found to be the most frequently used in risk spatial models, particularly temperature. It was found that there was a significantly dissimilar distribution of variables used within map elements across studies: Map Type, Map Distributions, and Map Scale. Within these map elements, few anthropic variables were considered, particularly in studies that modeled future risk, despite the objective of these models directly or indirectly focusing on public health intervention. Without including human-related factors considering these variables within risk map models, it is difficult to determine how reliable these risk maps truly are. Future researchers may be persuaded to improve disease risk models by taking this into consideration.
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Affiliation(s)
- Erica Fellin
- Department of Biology, McGill University, Montréal, QC, Canada
- Redpath Museum, McGill University, Montréal, QC, Canada
| | - Mathieu Varin
- Centre d'Enseignement et de Recherche en Foresterie (CERFO), Québec City, QC, Canada
| | - Virginie Millien
- Department of Biology, McGill University, Montréal, QC, Canada
- Redpath Museum, McGill University, Montréal, QC, Canada
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Laska A, Rector BG, Przychodzka A, Majer A, Zalewska K, Kuczynski L, Skoracka A. Do mites eat and run? A systematic review of feeding and dispersal strategies. Zool J Linn Soc 2023. [DOI: 10.1093/zoolinnean/zlac094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/13/2023]
Abstract
Abstract
Dispersal is an important process affecting the survival of organisms and the structure and dynamics of communities and ecosystems in space and time. It is a multiphase phenomenon influenced by many internal and external factors. Dispersal syndromes can be complicated, but they are vital to our knowledge of the biology of any organism. We analysed dispersal ability in mites (Acariformes and Parasitiformes), a highly diverse group of wingless arthropods, taking into consideration various modes of dispersal, feeding strategies, body size and the number of articles published for each species. Based on 174 articles summarized for this study, it appears that mites are opportunistic when it comes to dispersal, regardless of their feeding habits, and are often able to adopt several different strategies as needs arise. Moreover, we find a significant positive relationship between the amount of research effort that was put into studying a given species and the number of modes of dispersal that were described. The most salient conclusion to be drawn from this positive correlation is that additional studies are needed, especially on a broader set of mite taxa, until the aforementioned correlation is no longer demonstrably significant.
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Affiliation(s)
- Alicja Laska
- Population Ecology Lab, Faculty of Biology, Adam Mickewicz University , Poznań , Poland
| | - Brian G Rector
- United States Department of Agricuture, Agriculture Research Service, Great Basin Rangelands Research Unit , Reno, NV , USA
| | - Anna Przychodzka
- Population Ecology Lab, Faculty of Biology, Adam Mickewicz University , Poznań , Poland
| | - Agnieszka Majer
- Population Ecology Lab, Faculty of Biology, Adam Mickewicz University , Poznań , Poland
| | - Kamila Zalewska
- Population Ecology Lab, Faculty of Biology, Adam Mickewicz University , Poznań , Poland
| | - Lechosław Kuczynski
- Population Ecology Lab, Faculty of Biology, Adam Mickewicz University , Poznań , Poland
| | - Anna Skoracka
- Population Ecology Lab, Faculty of Biology, Adam Mickewicz University , Poznań , Poland
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Souc C, Sadoul N, Blanchon T, Vittecoq M, Pin C, Vidal E, Mante A, Choquet R, McCoy KD. Natal colony influences age-specific movement patterns of the Yellow-legged gull (Larus michahellis). Mov Ecol 2023; 11:11. [PMID: 36774513 PMCID: PMC9922451 DOI: 10.1186/s40462-023-00375-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 02/06/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND As for other life history traits, variation occurs in movement patterns with important impacts on population demography and community interactions. Individuals can show variation in the extent of seasonal movement (or migration) or can change migratory routes among years. Internal factors, such as age or body condition, may strongly influence changes in movement patterns. Indeed, young individuals often tend to move across larger spatial scales compared to adults, but relatively few studies have investigated the proximate and ultimate factors driving such variation. This is particularly the case for seabirds in which the sub-adult period is long and difficult to follow. Here, we examine migration variation and the factors that affect it in a common Mediterranean seabird, the Yellow-legged gull (Larus michahellis). METHODS The data include the encounter histories of 5158 birds marked as fledglings between 1999 and 2004 at 14 different colonies in southern France and resighted over 10 years. Using a multi-event mark-recapture modeling framework, we use these data to estimate the probability of movement and survival, taking into account recapture heterogeneity and age. RESULTS In accordance with previous studies, we find that young individuals have greater mobility than older individuals. However, the spatial extent of juvenile movements depends on natal colony location, with a strong difference in the proportion of sedentary individuals among colonies less than 50 km apart. Colony quality or local population dynamics may explain these differences. Indeed, young birds from colonies with strong juvenile survival probabilities (~ 0.75) appear to be more sedentary than those from colonies with low survival probabilities (~ 0.36). CONCLUSIONS This study shows the importance of studying individuals of different ages and from different colonies when trying to understand seabird movement strategies. Local breeding success and the availability of food resources may explain part of the among colony differences we observe and require explicit testing. We discuss our results with respect to the feedback loop that may occur between breeding success and mobility, and its potential implications for population demography and the dissemination of avian disease at different spatial scales.
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Affiliation(s)
- Charly Souc
- MIVEGEC, University of Montpellier, CNRS, IRD, Montpellier, France.
- CEFE, University of Montpellier, CNRS, EPHE, IRD, University of Paul Valery Montpellier 3, Montpellier, France.
| | - Nicolas Sadoul
- Les Amis des Marais du Vigueirat, Marais du Vigueirat, Arles, France
- Tour du Valat, Research Institute for the Conservation of Mediterranean Wetlands, Arles, France
| | - Thomas Blanchon
- Tour du Valat, Research Institute for the Conservation of Mediterranean Wetlands, Arles, France
| | - Marion Vittecoq
- Tour du Valat, Research Institute for the Conservation of Mediterranean Wetlands, Arles, France
| | - Christophe Pin
- Les Amis des Marais du Vigueirat, Marais du Vigueirat, Arles, France
| | - Eric Vidal
- Institut Mediterraneen de Biodiversite et d'Ecologie marine et continentale (IMBE), Aix Marseille Université, CNRS, IRD, Avignon Université, Aix-en-Provence, France
- UMR Entropie, Labex-Corail, IRD, Noumea, New Caledonia
| | - Alain Mante
- Parc national des Calanques, Marseille, France
| | - Rémi Choquet
- CEFE, University of Montpellier, CNRS, EPHE, IRD, University of Paul Valery Montpellier 3, Montpellier, France
| | - Karen D McCoy
- MIVEGEC, University of Montpellier, CNRS, IRD, Montpellier, France
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Craig AF, Schade-Weskott ML, Rametse T, Heath L, Kriel GJP, de Klerk-Lorist LM, van Schalkwyk L, Trujillo JD, Crafford JE, Richt JA, Swanepoel R. Detection of African Swine Fever Virus in Ornithodoros Tick Species Associated with Indigenous and Extralimital Warthog Populations in South Africa. Viruses 2022; 14. [PMID: 35893686 DOI: 10.3390/v14081617] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 07/18/2022] [Accepted: 07/21/2022] [Indexed: 11/23/2022] Open
Abstract
We investigated the possibility that sylvatic circulation of African swine fever virus (ASFV) in warthogs and Ornithodoros ticks had extended beyond the historically affected northern part of South Africa that was declared a controlled area in 1935 to prevent the spread of infection to the rest of the country. We recently reported finding antibody to the virus in extralimital warthogs in the south of the country, and now describe the detection of infected ticks outside the controlled area. A total of 5078 ticks was collected at 45 locations in 7/9 provinces during 2019-2021 and assayed as 711 pools for virus content by qPCR, while 221 pools were also analysed for tick phylogenetics. Viral nucleic acid was detected in 50 tick pools representing all four members of the Ornithodoros (Ornithodoros) moubata complex known to occur in South Africa: O. (O.) waterbergensis and O. (O.) phacochoerus species yielded ASFV genotypes XX, XXI, XXII at 4 locations and O. (O.) moubata yielded ASFV genotype I at two locations inside the controlled area. Outside the controlled area, O. (O.) moubata and O. (O.) compactus ticks yielded ASFV genotype I at 7 locations, while genotype III ASFV was identified in O. (O.) compactus ticks at a single location. Two of the three species of the O. (O.) savignyi complex ticks known to be present in the country, O. (O.) kalahariensis and O. (O.) noorsveldensis, were collected at single locations and found negative for virus. The only member of the Pavlovskyella subgenus of Ornithodoros ticks known to occur in South Africa, O. (P.) zumpti, was collected from warthog burrows for the first time, in Addo National Park in the Eastern Cape Province where ASFV had never been recorded, and it tested negative for the viral nucleic acid. While it is confirmed that there is sylvatic circulation of ASFV outside the controlled area in South Africa, there is a need for more extensive surveillance and for vector competence studies with various species of Ornithodoros ticks.
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Vanwambeke S, Schimit P. Tick bite risk resulting from spatially heterogeneous hazard, exposure and coping capacity. Ecological Complexity 2021; 48:100967. [DOI: 10.1016/j.ecocom.2021.100967] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
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7
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Socarras KM, Earl JP, Krol JE, Bhat A, Pabilonia M, Harrison MH, Lang SP, Sen B, Ahmed A, Hester M, Mell JC, Vandegrift K, Ehrlich GD. Species-Level Profiling of Ixodes pacificus Bacterial Microbiomes Reveals High Variability Across Short Spatial Scales at Different Taxonomic Resolutions. Genet Test Mol Biomarkers 2021; 25:551-562. [PMID: 34406842 DOI: 10.1089/gtmb.2021.0088] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Background and Aims: Outbreaks of severe and chronic tick-borne diseases (TBDs) are on the rise. This is through the transmission of infectious disease agents to humans during tick feeding. The transmission rate and extent of microbial exchange, however, vary based on the tick microbiome composition. While select microbes are determined to be members of the normal tick microbiome and others are clearly recognized mammalian and/or avian pathogens, the status of many other members of the tick microbiota with respect to human and alternate host pathogenesis remains unclear. Moreover, the species-level 16S microbiome of prominent TBD vectors, including Ixodes pacificus, have not been extensively studied. To elucidate the I. pacificus microbiome composition, we performed a pan-domain species-specific characterization of the bacterial microbiome on adult I. pacificus ticks collected from two regional parks within Western California. Our methods provide for characterizing nuances within cohort microbiomes and their relationships to geo-locale of origin, surrounding fauna, and prevalences of known and suspected pathogens in relation to current TBD epidemiological zones. Methods: Ninety-two adult I. pacificus bacterial microbiomes were characterized using a high-fidelity, pan-domain, species-specific, full-length 16S rRNA amplification method using circular consensus sequencing performed on the Pacific Biosciences Sequel platform. Data analyses were performed with the MCSMRT data analysis package and database. Results: The species-specific I. pacificus microbiome composition illustrates a complex assortment of microflora, including over 900 eubacterial species with high taxonomic diversity, which was revealed to vary by sex and geo-locale, though the use of full-length 16S gene sequencing. The TBD-associated pathogens, such as Borrelia burgdorferi, Anaplasma phagocytophilum, and Rickettsia monacensis, were identified along with a host of bacteria previously unassociated with ticks. Conclusion: Species-level taxonomic classification of the I. pacificus microbiome revealed that full-length bacterial 16S gene sequencing is required for the granularity to elucidate the microbial diversity within and among ticks based on geo-locale.
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Affiliation(s)
- Kayla M Socarras
- Center for Advanced Microbial Processing, Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA.,Center for Genomic Sciences, Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA.,Center for Surgical Infections and Biofilms, Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA.,Department of Microbiology, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA
| | - Joshua P Earl
- Center for Advanced Microbial Processing, Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA.,Center for Genomic Sciences, Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA.,Department of Microbiology, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA
| | - Jaroslaw E Krol
- Center for Advanced Microbial Processing, Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA.,Center for Genomic Sciences, Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA.,Center for Surgical Infections and Biofilms, Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA.,Department of Microbiology, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA
| | - Archana Bhat
- Center for Advanced Microbial Processing, Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA.,Center for Genomic Sciences, Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA
| | - Max Pabilonia
- Center for Advanced Microbial Processing, Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA.,Center for Genomic Sciences, Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA.,Haverford College, Haverford, Pennsylvania, USA
| | - Meghan H Harrison
- Center for Advanced Microbial Processing, Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA.,Center for Genomic Sciences, Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA.,College of Engineering and Natural Sciences, University of Tulsa, Tulsa, Oklahoma, USA
| | - Steven P Lang
- Exosome Diagnostics, a Bio-Techne Company, Waltham, Massachusetts, USA
| | - Bhaswati Sen
- Center for Advanced Microbial Processing, Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA.,Center for Genomic Sciences, Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA.,Department of Microbiology, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA
| | - Azad Ahmed
- Center for Advanced Microbial Processing, Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA.,Center for Genomic Sciences, Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA.,Department of Microbiology, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA
| | - Michael Hester
- Center for Advanced Microbial Processing, Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA.,Center for Genomic Sciences, Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA
| | - Joshua Chang Mell
- Center for Advanced Microbial Processing, Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA.,Center for Genomic Sciences, Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA.,Department of Microbiology, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA
| | - Kurt Vandegrift
- Department of Biology, Center for Infectious Disease Dynamics, Penn State University; University Park, Pennsylvania, USA
| | - Garth D Ehrlich
- Center for Advanced Microbial Processing, Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA.,Center for Genomic Sciences, Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA.,Center for Surgical Infections and Biofilms, Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA.,Department of Microbiology, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA.,Department of Otolaryngology-Head and Neck Surgery, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA
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8
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Tardy O, Bouchard C, Chamberland E, Fortin A, Lamirande P, Ogden NH, Leighton PA. Mechanistic movement models reveal ecological drivers of tick-borne pathogen spread. J R Soc Interface 2021; 18:20210134. [PMID: 34376091 PMCID: PMC8355688 DOI: 10.1098/rsif.2021.0134] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Identifying ecological drivers of tick-borne pathogen spread has great value for tick-borne disease management. However, theoretical investigations into the consequences of host movement behaviour on pathogen spread dynamics in heterogeneous landscapes remain limited because spatially explicit epidemiological models that incorporate more realistic mechanisms governing host movement are rare. We built a mechanistic movement model to investigate how the interplay between multiple ecological drivers affects the risk of tick-borne pathogen spread across heterogeneous landscapes. We used the model to generate simulations of tick dispersal by migratory birds and terrestrial hosts across theoretical landscapes varying in resource aggregation, and we performed a sensitivity analysis to explore the impacts of different parameters on the infected tick spread rate, tick infection prevalence and infected tick density. Our findings highlight the importance of host movement and tick population dynamics in explaining the infected tick spread rate into new regions. Tick infection prevalence and infected tick density were driven by predictors related to the infection process and tick population dynamics, respectively. Our results suggest that control strategies aiming to reduce tick burden on tick reproduction hosts and encounter rate between immature ticks and pathogen amplification hosts will be most effective at reducing tick-borne disease risk.
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Affiliation(s)
- Olivia Tardy
- Research Group on Epidemiology of Zoonoses and Public Health (GREZOSP), Faculty of Veterinary Medicine, Université de Montréal, 3200 rue Sicotte, Saint-Hyacinthe, Québec, Canada J2S 2M2.,Centre for Public Health Research (CReSP), Université de Montréal and the CIUSSS du Centre-Sud-de-l'Île-de-Montréal, 7101 avenue du Parc, Montréal, Québec, Canada H3N 1X9
| | - Catherine Bouchard
- Research Group on Epidemiology of Zoonoses and Public Health (GREZOSP), Faculty of Veterinary Medicine, Université de Montréal, 3200 rue Sicotte, Saint-Hyacinthe, Québec, Canada J2S 2M2.,Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, 3200 rue Sicotte, Saint-Hyacinthe, Québec, Canada J2S 2M2
| | - Eric Chamberland
- Groupe Interdisciplinaire de Recherche en Éléments Finis (GIREF), Department of Mathematics and Statistics, Faculty of Science and Engineering, Université Laval, 1045 avenue de la Médecine, Québec, Québec, Canada G1V 0A6
| | - André Fortin
- Groupe Interdisciplinaire de Recherche en Éléments Finis (GIREF), Department of Mathematics and Statistics, Faculty of Science and Engineering, Université Laval, 1045 avenue de la Médecine, Québec, Québec, Canada G1V 0A6
| | - Patricia Lamirande
- Groupe Interdisciplinaire de Recherche en Éléments Finis (GIREF), Department of Mathematics and Statistics, Faculty of Science and Engineering, Université Laval, 1045 avenue de la Médecine, Québec, Québec, Canada G1V 0A6
| | - Nicholas H Ogden
- Research Group on Epidemiology of Zoonoses and Public Health (GREZOSP), Faculty of Veterinary Medicine, Université de Montréal, 3200 rue Sicotte, Saint-Hyacinthe, Québec, Canada J2S 2M2.,Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, 3200 rue Sicotte, Saint-Hyacinthe, Québec, Canada J2S 2M2.,Centre for Public Health Research (CReSP), Université de Montréal and the CIUSSS du Centre-Sud-de-l'Île-de-Montréal, 7101 avenue du Parc, Montréal, Québec, Canada H3N 1X9
| | - Patrick A Leighton
- Research Group on Epidemiology of Zoonoses and Public Health (GREZOSP), Faculty of Veterinary Medicine, Université de Montréal, 3200 rue Sicotte, Saint-Hyacinthe, Québec, Canada J2S 2M2.,Centre for Public Health Research (CReSP), Université de Montréal and the CIUSSS du Centre-Sud-de-l'Île-de-Montréal, 7101 avenue du Parc, Montréal, Québec, Canada H3N 1X9
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Palomar AM, Veiga J, Portillo A, Santibáñez S, Václav R, Santibáñez P, Oteo JA, Valera F. Novel Genotypes of Nidicolous Argas Ticks and Their Associated Microorganisms From Spain. Front Vet Sci 2021; 8:637837. [PMID: 33855055 PMCID: PMC8039128 DOI: 10.3389/fvets.2021.637837] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Accepted: 02/24/2021] [Indexed: 12/01/2022] Open
Abstract
The knowledge of the distribution, richness and epidemiological importance of soft ticks of the genus Argas is incomplete. In Spain, five Argas species have been recorded, including three ornitophilic nidicolous ticks, but their associated microorganisms remain unknown. This study aimed to investigate ticks from bird nests and their microorganisms. Ticks were collected extensively from natural cavities and nest-boxes used by European rollers (Coracias garrulus) and little owls (Athene noctua) in Southeastern and Central Spain. Ticks were morphologically and genetically identified and corresponding DNA/RNA tick extracts were analyzed [individually (n = 150) or pooled (n = 43)] using specific PCR assays for bacteria (Anaplasmataceae, Bartonella, Borrelia, Coxiella/Rickettsiella, and Rickettsia spp.), viruses (Flaviviruses, Orthonairoviruses, and Phenuiviruses), and protozoa (Babesia/Theileria spp.). Six Argas genotypes were identified, of which only those of Argas reflexus (n = 8) were identified to the species level. Two other genotypes were closely related to each other and to Argas vulgaris (n = 83) and Argas polonicus (n = 33), respectively. These two species have not been previously reported from Western Europe. Two additional genotypes (n = 4) clustered with Argas persicus, previously reported in Spain. The remaining genotype (n = 22) showed low sequence identity with any Argas species, being most similar to the African Argas africolumbae. The microbiological screening revealed infection with a rickettsial strain belonging to Rickettsia fournieri and Candidatus Rickettsia vini group in 74.7% of ticks, mainly comprising ticks genetically related to A. vulgaris and A. polonicus. Other tick endosymbionts belonging to Coxiella, Francisella and Rickettsiella species were detected in ten, one and one tick pools, respectively. In addition, one Babesia genotype, closely related to avian Babesia species, was found in one tick pool. Lastly, Anaplasmataceae, Bartonella, Borrelia, and viruses were not detected. In conclusion, five novel Argas genotypes and their associated microorganisms with unproven pathogenicity are reported for Spain. The re-use of nests between and within years by different bird species appears to be ideal for the transmission of tick-borne microorganisms in cavity-nesting birds of semiarid areas. Further work should be performed to clarify the taxonomy and the potential role of soft Argas ticks and their microorganisms in the epidemiology of zoonoses.
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Affiliation(s)
- Ana M Palomar
- Centre of Rickettsiosis and Arthropod-Borne Diseases, Hospital Universitario San Pedro-Center for Biomedical Research of La Rioja (CIBIR), Logroño, Spain
| | - Jesús Veiga
- Departamento de Ecología Funcional y Evolutiva, Estación Experimental de Zonas Áridas -Consejo Superior de Investigaciones Científicas (EEZA-CSIC), Ctra. de Sacramento s/n, La Cañada de San Urbano, Almería, Spain
| | - Aránzazu Portillo
- Centre of Rickettsiosis and Arthropod-Borne Diseases, Hospital Universitario San Pedro-Center for Biomedical Research of La Rioja (CIBIR), Logroño, Spain
| | - Sonia Santibáñez
- Centre of Rickettsiosis and Arthropod-Borne Diseases, Hospital Universitario San Pedro-Center for Biomedical Research of La Rioja (CIBIR), Logroño, Spain
| | - Radovan Václav
- Institute of Zoology, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Paula Santibáñez
- Centre of Rickettsiosis and Arthropod-Borne Diseases, Hospital Universitario San Pedro-Center for Biomedical Research of La Rioja (CIBIR), Logroño, Spain
| | - José A Oteo
- Centre of Rickettsiosis and Arthropod-Borne Diseases, Hospital Universitario San Pedro-Center for Biomedical Research of La Rioja (CIBIR), Logroño, Spain
| | - Francisco Valera
- Departamento de Ecología Funcional y Evolutiva, Estación Experimental de Zonas Áridas -Consejo Superior de Investigaciones Científicas (EEZA-CSIC), Ctra. de Sacramento s/n, La Cañada de San Urbano, Almería, Spain
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Rataud A, Dupraz M, Toty C, Blanchon T, Vittecoq M, Choquet R, McCoy KD. Evaluating Functional Dispersal in a Nest Ectoparasite and Its Eco-Epidemiological Implications. Front Vet Sci 2020; 7:570157. [PMID: 33195558 PMCID: PMC7604267 DOI: 10.3389/fvets.2020.570157] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2020] [Accepted: 08/27/2020] [Indexed: 11/13/2022] Open
Abstract
Functional dispersal (between-site movement, with or without subsequent reproduction) is a key trait acting on the ecological and evolutionary trajectories of a species, with potential cascading effects on other members of the local community. It is often difficult to quantify, and particularly so for small organisms such as parasites. Understanding this life history trait can help us identify the drivers of population dynamics and, in the case of vectors, the circulation of associated infectious agents. In the present study, functional dispersal of the soft tick Ornithodoros maritimus was studied at a small scale, within a colony of yellow-legged gulls (Larus michahellis). Previous work showed a random distribution of infectious agents in this tick at the within-colony scale, suggesting frequent tick movement among nests. This observation contrasts with the presumed strong endophilic nature described for this tick group. By combining an experimental field study, where both nest success and tick origin were manipulated, with Capture-Mark-Recapture modeling, dispersal rates between nests were estimated taking into account tick capture probability and survival, and considering an effect of tick sex. As expected, tick survival probability was higher in successful nests, where hosts were readily available for the blood meal, than in unsuccessful nests, but capture probability was lower. Dispersal was low overall, regardless of nest state or tick sex, and there was no evidence for tick homing behavior; ticks from foreign nests did not disperse more than ticks in their nest of origin. These results confirm the strong endophilic nature of this tick species, highlighting the importance of life cycle plasticity for adjusting to changes in host availability. However, results also raise questions with respect to the previously described within-colony distribution of infectious agents in ticks, suggesting that tick dispersal either occurs over longer temporal scales and/or that transient host movements outside the breeding period result in vector exposure to a diverse range of infectious agents.
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Affiliation(s)
- Amalia Rataud
- MIVEGEC, Univ Montpellier - CNRS - IRD, Centre IRD, Montpellier, France.,CEFE, Univ Montpellier, CNRS, EPHE, IRD, Université Paul Valéry Montpellier 3, Montpellier, France
| | - Marlène Dupraz
- MIVEGEC, Univ Montpellier - CNRS - IRD, Centre IRD, Montpellier, France
| | - Céline Toty
- MIVEGEC, Univ Montpellier - CNRS - IRD, Centre IRD, Montpellier, France
| | - Thomas Blanchon
- Tour de Valat, Research Institute for the Conservation of Mediterranean Wetlands, Arles, France
| | - Marion Vittecoq
- MIVEGEC, Univ Montpellier - CNRS - IRD, Centre IRD, Montpellier, France.,Tour de Valat, Research Institute for the Conservation of Mediterranean Wetlands, Arles, France
| | - Rémi Choquet
- CEFE, Univ Montpellier, CNRS, EPHE, IRD, Université Paul Valéry Montpellier 3, Montpellier, France
| | - Karen D McCoy
- MIVEGEC, Univ Montpellier - CNRS - IRD, Centre IRD, Montpellier, France.,Center for Research on the Ecology and Evolution of Disease (CREES), Montpellier, France
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11
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Khan JS, Provencher JF, Forbes MR, Mallory ML, Lebarbenchon C, McCoy KD. Parasites of seabirds: A survey of effects and ecological implications. Adv Mar Biol 2019; 82:1-50. [PMID: 31229148 PMCID: PMC7172769 DOI: 10.1016/bs.amb.2019.02.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
Parasites are ubiquitous in the environment, and can cause negative effects in their host species. Importantly, seabirds can be long-lived and cross multiple continents within a single annual cycle, thus their exposure to parasites may be greater than other taxa. With changing climatic conditions expected to influence parasite distribution and abundance, understanding current level of infection, transmission pathways and population-level impacts are integral aspects for predicting ecosystem changes, and how climate change will affect seabird species. In particular, a range of micro- and macro-parasites can affect seabird species, including ticks, mites, helminths, viruses and bacteria in gulls, terns, skimmers, skuas, auks and selected phalaropes (Charadriiformes), tropicbirds (Phaethontiformes), penguins (Sphenisciformes), tubenoses (Procellariiformes), cormorants, frigatebirds, boobies, gannets (Suliformes), and pelicans (Pelecaniformes) and marine seaducks and loons (Anseriformes and Gaviiformes). We found that the seabird orders of Charadriiformes and Procellariiformes were most represented in the parasite-seabird literature. While negative effects were reported in seabirds associated with all the parasite groups, most effects have been studied in adults with less information known about how parasites may affect chicks and fledglings. We found studies most often reported on negative effects in seabird hosts during the breeding season, although this is also the time when most seabird research occurs. Many studies report that external factors such as condition of the host, pollution, and environmental conditions can influence the effects of parasites, thus cumulative effects likely play a large role in how parasites influence seabirds at both the individual and population level. With an increased understanding of parasite-host dynamics it is clear that major environmental changes, often those associated with human activities, can directly or indirectly affect the distribution, abundance, or virulence of parasites and pathogens.
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Affiliation(s)
- Junaid S Khan
- Canadian Wildlife Service, Environment and Climate Change Canada, Gatineau, QC, Canada
| | - Jennifer F Provencher
- Canadian Wildlife Service, Environment and Climate Change Canada, Gatineau, QC, Canada.
| | - Mark R Forbes
- Department of Biology, Carleton University, Ottawa, ON, Canada
| | - Mark L Mallory
- Department of Biology, Acadia University, Wolfville, NS, Canada
| | - Camille Lebarbenchon
- Université de La Réunion, UMR Processus Infectieux en Milieu Insulaire Tropical, INSERM 1187, CNRS 9192, IRD 249, GIP CYROI, Saint Denis, La Réunion, France
| | - Karen D McCoy
- MIVEGEC, UMR 5290 CNRS-IRD-University of Montpellier, Centre IRD, Montpellier, France
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Mans BJ, Featherston J, Kvas M, Pillay KA, de Klerk DG, Pienaar R, de Castro MH, Schwan TG, Lopez JE, Teel P, Pérez de León AA, Sonenshine DE, Egekwu NI, Bakkes DK, Heyne H, Kanduma EG, Nyangiwe N, Bouattour A, Latif AA. Argasid and ixodid systematics: Implications for soft tick evolution and systematics, with a new argasid species list. Ticks Tick Borne Dis 2018; 10:219-240. [PMID: 30309738 DOI: 10.1016/j.ttbdis.2018.09.010] [Citation(s) in RCA: 85] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2018] [Revised: 07/02/2018] [Accepted: 09/22/2018] [Indexed: 10/28/2022]
Abstract
The systematics of the genera and subgenera within the soft tick family Argasidae is not adequately resolved. Different classification schemes, reflecting diverse schools of scientific thought that elevated or downgraded groups to genera or subgenera, have been proposed. In the most recent classification scheme, Argas and Ornithodoros are paraphyletic and the placement of various subgenera remains uncertain because molecular data are lacking. Thus, reclassification of the Argasidae is required. This will enable an understanding of soft tick systematics within an evolutionary context. This study addressed that knowledge gap using mitochondrial genome and nuclear (18S and 28S ribosomal RNA) sequence data for representatives of the subgenera Alectorobius, Argas, Chiropterargas, Ogadenus, Ornamentum, Ornithodoros, Navis (subgen. nov.), Pavlovskyella, Persicargas, Proknekalia, Reticulinasus and Secretargas, from the Afrotropical, Nearctic and Palearctic regions. Hard tick species (Ixodidae) and a new representative of Nuttalliella namaqua (Nuttalliellidae), were also sequenced with a total of 83 whole mitochondrial genomes, 18S rRNA and 28S rRNA genes generated. The study confirmed the utility of next-generation sequencing to retrieve systematic markers. Paraphyly of Argas and Ornithodoros was resolved by systematic analysis and a new species list is proposed. This corresponds broadly with the morphological cladistic analysis of Klompen and Oliver (1993). Estimation of divergence times using molecular dating allowed dissection of phylogeographic patterns for argasid evolution. The discovery of cryptic species in the subgenera Chiropterargas, Ogadenus and Ornithodoros, suggests that cryptic speciation is common within the Argasidae. Cryptic speciation has implications for past biological studies of soft ticks. These are discussed in particular for the Ornithodoros (Ornithodoros) moubata and Ornithodoros (Ornithodoros) savignyi groups.
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Affiliation(s)
- Ben J Mans
- Epidemiology, Parasites and Vectors, Agricultural Research Council-Onderstepoort Veterinary Research, Onderstepoort 0110, South Africa; Department of Life and Consumer Sciences, University of South Africa, South Africa.
| | - Jonathan Featherston
- The Biotechnology Platform, Agricultural Research Council-Biotechnology Platform, Onderstepoort 0110, South Africa
| | - Marija Kvas
- The Biotechnology Platform, Agricultural Research Council-Biotechnology Platform, Onderstepoort 0110, South Africa
| | - Kerry-Anne Pillay
- The Biotechnology Platform, Agricultural Research Council-Biotechnology Platform, Onderstepoort 0110, South Africa
| | - Daniel G de Klerk
- Epidemiology, Parasites and Vectors, Agricultural Research Council-Onderstepoort Veterinary Research, Onderstepoort 0110, South Africa
| | - Ronel Pienaar
- Epidemiology, Parasites and Vectors, Agricultural Research Council-Onderstepoort Veterinary Research, Onderstepoort 0110, South Africa
| | - Minique H de Castro
- Epidemiology, Parasites and Vectors, Agricultural Research Council-Onderstepoort Veterinary Research, Onderstepoort 0110, South Africa
| | - Tom G Schwan
- Laboratory of Bacteriology, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, Hamilton, MT, United States
| | - Job E Lopez
- Department of Paediatrics, National School of Tropical Medicine, Paediatric Tropical Medicine, Baylor College of Medicine, Houston, TX, United States
| | - Pete Teel
- Department of Entomology, Texas A&M AgriLife Research, Texas A&M University, College Station, TX, United States
| | - Adalberto A Pérez de León
- USDA-ARS Knipling-Bushland U.S. Livestock Insects Research Laboratory and Veterinary Pest Genomics Center, Kerrville, TX, United States
| | - Daniel E Sonenshine
- Department of Biological Sciences, Old Dominion University, Norfolk, VA, United States; Vector Biology Section, Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases (NIH), Rockville, MD, United States
| | - Noble I Egekwu
- Agricultural Research Service, United States Department of Agriculture, Washington, D.C., United States
| | - Deon K Bakkes
- Epidemiology, Parasites and Vectors, Agricultural Research Council-Onderstepoort Veterinary Research, Onderstepoort 0110, South Africa
| | - Heloise Heyne
- Epidemiology, Parasites and Vectors, Agricultural Research Council-Onderstepoort Veterinary Research, Onderstepoort 0110, South Africa
| | - Esther G Kanduma
- Department of Biochemistry, School of Medicine, University of Nairobi, P.O BOX 30197, 00100, Nairobi, Kenya
| | - Nkululeko Nyangiwe
- Döhne Agricultural Development Institute, Private Bag X15, Stutterheim, 4930, South Africa
| | - Ali Bouattour
- Laboratoire d'Entomologie, Institut Pasteur de Tunis, Tunis, Tunisia
| | - Abdalla A Latif
- School of Life Sciences, University of KwaZulu-Natal, Durban, Westville, South Africa
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Dupraz M, Toty C, Devillers E, Blanchon T, Elguero E, Vittecoq M, Moutailler S, McCoy KD. Population structure of the soft tick Ornithodoros maritimus and its associated infectious agents within a colony of its seabird host Larus michahellis. Int J Parasitol Parasites Wildl 2017; 6:122-130. [PMID: 28620577 PMCID: PMC5460746 DOI: 10.1016/j.ijppaw.2017.05.001] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2017] [Revised: 05/19/2017] [Accepted: 05/23/2017] [Indexed: 01/11/2023]
Abstract
The epidemiology of vector-borne zoonoses depends on the movement of both hosts and vectors, which can differ greatly in intensity across spatial scales. Because of their life history traits and small size, vector dispersal may be frequent, but limited in distance. However, little information is available on vector movement patterns at local spatial scales, and particularly for ticks, transmitting the greatest diversity of recognized infectious agents. To test the degree to which ticks can disperse and disseminate pathogens at local scales, we investigated the temporal dynamics and population structure of the soft tick Ornithodoros maritimus within a colony of its seabird host, the Yellow-legged gull Larus michahellis. Ticks were repeatedly sampled at a series of nests during the host breeding season. In half of the nests, ticks were collected (removal sampling), in the other half, ticks were counted and returned to the nest. A subsample of ticks was screened for known bacteria, viruses and parasites using a high throughput real-time PCR system to examine their distribution within the colony. The results indicate a temporal dynamic in the presence of tick life stages over the season, with the simultaneous appearance of juvenile ticks and hatched chicks, but no among-nest spatial structure in tick abundance. Removal sampling significantly reduced tick numbers, but only from the fourth visit onward. Seven bacterial isolates, one parasite species and one viral isolate were detected but no spatial structure in their presence within the colony was found. These results suggest weak isolation among nests and that tick dispersal is likely frequent enough to quickly recolonize locally-emptied patches and disseminate pathogens across the colony. Vector-mediated movements at local scales may therefore play a key role in pathogen emergence and needs to be considered in conjunction with host movements for predicting pathogen circulation and for establishing effective control strategies. A temporal dynamic in the abundance of tick stages was found over the season. Destructive sampling reduced tick abundance near the end of the sampling period. No spatial structure in the ticks or infectious agents was detected. Relatively frequent tick movements among nests were suggested.
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Affiliation(s)
- Marlene Dupraz
- MIVEGEC UMR 5290 CNRS IRD UM, Centre IRD, 911 Avenue Agropolis, BP 64501, 34394 Montpellier, France
- Corresponding author.
| | - Céline Toty
- MIVEGEC UMR 5290 CNRS IRD UM, Centre IRD, 911 Avenue Agropolis, BP 64501, 34394 Montpellier, France
| | - Elodie Devillers
- UMR Bipar, Anses, INRA, ENVA, 14 Rue Pierre et Marie Curie, 94700 Maisons-Alfort, France
| | - Thomas Blanchon
- Centre de recherche de la Tour du Valat, 13200 Arles, France
| | - Eric Elguero
- MIVEGEC UMR 5290 CNRS IRD UM, Centre IRD, 911 Avenue Agropolis, BP 64501, 34394 Montpellier, France
| | - Marion Vittecoq
- Centre de recherche de la Tour du Valat, 13200 Arles, France
| | - Sara Moutailler
- UMR Bipar, Anses, INRA, ENVA, 14 Rue Pierre et Marie Curie, 94700 Maisons-Alfort, France
| | - Karen D. McCoy
- MIVEGEC UMR 5290 CNRS IRD UM, Centre IRD, 911 Avenue Agropolis, BP 64501, 34394 Montpellier, France
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