Open Access
Research Article
Volume 26, 2019
Article Number 64
Number of page(s) 7
Published online 07 November 2019
  1. Archie EA, Ezenwa VO. 2011. Population genetic structure and history of a generalist parasite infecting multiple sympatric host species. International Journal for Parasitology, 41, 89–98. [CrossRef] [PubMed] [Google Scholar]
  2. Body G, Ferté H, Gaillard JM, Delorme D, Klein F, Gilot-Fromont E. 2011. Population density and phenotypic attributes influence the level of nematode parasitism in roe deer. Oecologia, 167, 635–646. [CrossRef] [PubMed] [Google Scholar]
  3. Bonferroni CE. 1936. Teoria statistica delle classi e calcolo delle probabilità. Pubblicazioni del R Istituto Superiore di Scienze Economiche e Commerciali di Firenze, 8, 3–62. [Google Scholar]
  4. Bourgoin G, Marchand P, Hewison AJM, Ruckstuhl KE, Garel M. 2018. Social behaviour as a predominant driver of sexual, age-dependent and reproductive segregation in Mediterranean mouflon. Animal Behaviour, 136, 87–100. [Google Scholar]
  5. Bousquel V. 1999. Analyse historique de l’évolution de la végétation sur le massif du Caroux-Espinouse. Rapport Life “Gestion conservatoire des pelouses et landes en région méditerranéenne”. [Google Scholar]
  6. Budischak SA, O’Neal D, Jolles AE, Ezenwa VO. 2018. Differential host responses to parasitism shape divergent fitness costs of infection. Functional Ecology, 32, 324–333. [Google Scholar]
  7. Carlsson J. 2008. Effects of microsatellite null alleles on assignment testing. Journal of Heredity, 99, 616–623. [CrossRef] [Google Scholar]
  8. Cassirer EF, Manlove KR, Almberg ES, Kamath PL, Cox M, Wolff P, Roug A, Shannon J, Robinson R, Harris RB, Gonzales BJ, Plowright RK, Hudson PJ, Cross PC, Dobson A, Besser TE. 2018. Pneumonia in Bighorn sheep: risk and resilience. Journal of Wildlife Management, 82, 32–45. [CrossRef] [Google Scholar]
  9. Cerutti MC, Citterio CV, Bazzocchi C, Epis S, D’Amelio S, Ferrari N, Lanfranchi P. 2010. Genetic variability of Haemonchus contortus (Nematoda: Trichostrongyloidea) in alpine ruminant host species. Journal of Helminthology, 84, 276–283. [CrossRef] [PubMed] [Google Scholar]
  10. Chapuis MP, Estoup A. 2007. Microsatellite null alleles and estimation of population differentiation. Molecular Biology and Evolution, 24, 621–631. [Google Scholar]
  11. Charlier J, Höglund J, von Samson-Himmelstjerna G, Dorny P, Vercruysse J. 2009. Gastrointestinal nematode infections in adult dairy cattle: impact on production, diagnosis and control. Veterinary Parasitology, 164, 70–79. [CrossRef] [PubMed] [Google Scholar]
  12. Chaudhry U, Redman EM, Raman M, Gilleard JS. 2015. Genetic evidence for the spread of a benzimidazole resistance mutation across southern India from a single origin in the parasitic nematode Haemonchus contortus. International Journal for Parasitology, 45, 721–728. [CrossRef] [PubMed] [Google Scholar]
  13. Chaudhry U, Redman EM, Ashraf K, Shabbir MZ, Rashid MI, Ashraf S, Gilleard JS. 2016. Microsatellite marker analysis of Haemonchus contortus populations from Pakistan suggests that frequent benzimidazole drug treatment does not result in a reduction of overall genetic diversity. Parasites & Vectors, 9, 349. [CrossRef] [PubMed] [Google Scholar]
  14. Cockenpot A. 2013. Étude des facteurs de variation de l’excrétion parasitaire mesurée par analyse coproscopique chez le mouflon Méditerranéen (Ovis gmelini musimon × Ovis sp.) dans le massif du Caroux-Espinouse. France: Veterinary dissertation, VetAgro Sup, Campus vétérinaire de Lyon, Université de Lyon. [Google Scholar]
  15. Cole R, Viney M. 2018. The population genetics of parasitic nematodes of wild animals. Parasites & Vectors, 11, 590. [CrossRef] [PubMed] [Google Scholar]
  16. Craig BH, Pilkington JG, Pemberton JM. 2006. Gastrointestinal nematode species burdens and host mortality in a feral sheep population. Parasitology, 133, 485–496. [CrossRef] [PubMed] [Google Scholar]
  17. Cugnasse JM, Chiappin D. 1992. Statut ancien et actuel du chevreuil (Capreolus capreolus) dans le département du Gard, perspectives. Bulletin mensuel de l’Office. National de la Chasse, 164, 26–38. [Google Scholar]
  18. Cugnasse JM, Houssin H. 1993. Acclimatation du mouflon en France : la contribution des réserves de l’Office national de la chasse. Bulletin mensuel de l’Office National de la Chasse, 183, 26–37. [Google Scholar]
  19. De Meeûs T. 2018. Revisiting FIS, FST, Wahlund effects, and null alleles. Journal of Heredity, 109, 446–456. [CrossRef] [Google Scholar]
  20. Debeffe L, Mcloughlin PD, Medill SA, Stewart K, Andres D, Shury T, Wagner B, Jenkins E, Gilleard JS, Poissant J. 2016. Negative covariance between parasite load and body condition in a population of feral horses. Parasitology, 143, 983–997. [CrossRef] [PubMed] [Google Scholar]
  21. Debeffe L, Morellet N, Cargnelutti B, Lourter B, Bon R, Gaillard JM, Hewison AJM. 2012. Condition-dependent natal dispersal in a large herbivore: heavier animals show a greater propensity to disperse and travel further. Journal of Animal Ecology, 81, 1327–1337. [CrossRef] [Google Scholar]
  22. Debeffe L, Morellet N, Verheyden H, Hoste H, Gaillard JM, Cargnelutti B, Picot D, Sevila J, Hewison AJM. 2014. Parasite abundance contributes to condition-dependent dispersal in a wild population of large herbivores. Oikos, 123, 1121–1125. [Google Scholar]
  23. Dobson AP. 1988. The population biology of parasite-induced changes in host behaviour. Quarterly Review of Biology, 63, 139–165. [CrossRef] [Google Scholar]
  24. Dubois M, Gerard J, Maublanc ML. 1992. Seasonal movements of females Corsican mouflon (Ovis ammon) in a Mediterranean mountain range, southern France. Behavioural Processes, 26, 155–166. [CrossRef] [PubMed] [Google Scholar]
  25. Dubois M, Quenette P, Bideau E. 1993. Seasonal range use by European mouflon rams in medium altitude mountains. Acta Theriologica, 38, 185–198. [Google Scholar]
  26. Dubois M, Khazraïe K, Guilhem C, Maublanc ML, Le Pendu Y. 1996. Philopatry in mouflon rams during the rutting season: psycho-ethological determinism and functional consequences. Behavioural Processes, 35, 93–100. [Google Scholar]
  27. Dupuis J, Badia J, Maublanc ML, Bon R. 2002. Survival and spatial fidelity of mouflon (Ovis gmelini): a Bayesian analysis of an age-dependent capture-recapture model. Journal of Agricultural, Biological, and Environmental Statistics, 7, 277–298. [Google Scholar]
  28. El Mousadik A, Petit RJ. 1996. High level of genetic differentiation for allelic richness among populations of the argan tree [Argania spinosa (L.) Skeels] endemic to Morocco. Theoretical and Applied Genetics, 92, 832–839. [CrossRef] [Google Scholar]
  29. Ezenwa V, Jolles A. 2008. Horns honestly advertise parasite infection in male and female African buffalo. Animal Behaviour, 75, 2013–2021. [Google Scholar]
  30. Fahrig L. 2003. Effects of habitat fragmentation on biodiversity. Annual Review of Ecology, Evolution, and Systematics, 34, 487–515. [Google Scholar]
  31. Frankham R, Ballou JD, Briscoe DA. 2004. A primer of conservation genetics. New York: Cambridge University Press. [CrossRef] [Google Scholar]
  32. Garel M, Cugnasse JM, Maillard D, Gaillard JM, Hewison AJM, Dubray D. 2007. Selective harvesting and habitat loss produce long-term life history changes in a mouflon population. Ecological Applications, 17, 1607–1618. [CrossRef] [Google Scholar]
  33. Gilleard JS, Redman E. 2016. Chapter Two – Genetic diversity and population structure of Haemonchus contortus. Advances in Parasitology, 93, 31–68. [CrossRef] [PubMed] [Google Scholar]
  34. Gorton MJ, Kasl AL, Detwiler JT, Criscione CD. 2012. Testing local-scale panmixia provides insights into the cryptic ecology, evolution, and epidemiology of metazoan animal parasites. Parasitology, 139, 981–997. [CrossRef] [PubMed] [Google Scholar]
  35. Goudet J. 1995. FSTAT: a computer program to calculate F-statistics. Journal of Heredity, 86, 485–486. [CrossRef] [Google Scholar]
  36. Goudet J. 2001. FSTAT, a program to estimate and test gene diversities and fixation indices (version 2.9.3). Available from Updated from Goudet (1995). [Google Scholar]
  37. Goudet J. 2005. HIERFSTAT, a package for R to compute and test hierarchical F-statistics. Molecular Ecology Notes, 5, 184–186. [Google Scholar]
  38. Grillo V, Jackson F, Cabaret J, Gilleard JS. 2007. Population genetic analysis of the ovine parasitic nematode Teladorsagia circumcincta and evidence for a cryptic species. International Journal for Parasitology, 37, 435–447. [CrossRef] [PubMed] [Google Scholar]
  39. Guillot G, Renaud S, Ledevin R, Michaux J, Claude J. 2012. A unifying model for the analysis of phenotypic, genetic and geographic data. Systematic Biology, 61, 897–911. [CrossRef] [PubMed] [Google Scholar]
  40. Gulland FMD. 1992. The role of nematode parasites in Soay sheep (Ovis aries L.) mortality during a population crash. Parasitology, 105, 493–503. [CrossRef] [PubMed] [Google Scholar]
  41. Gustafson KD, Newman RA, Rhen T, Tkach VV. 2018. Spatial and genetic structure of directly-transmitted parasites reflects the distribution of their specific amphibian hosts. Population Ecology, 60, 261–273. [Google Scholar]
  42. Harris RJ, Reed JM. 2002. Behavioral barriers to non-migratory movements of birds. Annales Zoologici Fennici, 39, 275–290. [Google Scholar]
  43. Hewison AJM, Vicent P, Reby D. 1998. Social organisation of European roe deer, in The European Roe Deer: The Biology of Success. Andersen R, Duncan P, Linnell JDC, Editors. Scandinavian University Press: Stockholm. p. 189–220. [Google Scholar]
  44. Hille G. 2003. Untersuchungen zum Endoparasitenbefall des Muffelwildes in Thüringen. Germany: Inaugural-Dissertation, Universität Leipzig. [Google Scholar]
  45. Hudson PJ, Dobson AP, Newborn D. 1998. Prevention of population cycles by parasite removal. Science, 282, 2256–2258. [Google Scholar]
  46. Hunt PW, Knox MR, Le Jambre LF, McNally J, Anderson LJ. 2008. Genetic and phenotypic differences between isolates of Haemonchus contortus in Australia. International Journal for Parasitology, 38, 885–900. [CrossRef] [PubMed] [Google Scholar]
  47. Jombart T, Devillard S, Dufour AB, Pontier D. 2008. Revealing cryptic spatial patterns in genetic variability by a new multivariate method. Heredity, 101, 92–103. [CrossRef] [PubMed] [Google Scholar]
  48. Jombart T. 2008. Adegenet: A R package for the multivariate analysis of genetic markers. Bioinformatics, 24, 1403–1405. [CrossRef] [PubMed] [Google Scholar]
  49. Kahle D, Wickham H. 2013. Ggmap: spatial visualization with ggplot2. The R Journal, 5, 144–161. [Google Scholar]
  50. Kaufman L, Rousseeuw P. 1990. Finding groups in data: an introduction to cluster analysis. Hoboken: John Wiley & Sons Inc., Publication, Wiley-Interscience. [Google Scholar]
  51. Lloyd-Smith JO, Schreiber SJ, Kopp PE, Getz WM. 2005. Superspreading and the effect of individual variation on disease emergence. Nature, 438, 355–359. [CrossRef] [PubMed] [Google Scholar]
  52. Maerten J. 2014. Détermination du parasitisme de l’abomasum chez le mouflon méditerranéen (Ovis gmelini musimon × Ovis sp.) dans le massif du Caroux-Espinouse. France: Veterinary dissertation, VetAgro Sup, Campus vétérinaire de Lyon, Université de Lyon. [Google Scholar]
  53. Marchand P, Freycon P, Herbaux JP, Game Y, Toïgo C, Gilot-Fromont E, Rossi S, Hars J. 2017. Sociospatial structure explains marked variation in brucellosis seroprevalence in an Alpine ibex population. Scientific Reports, 7, 15592. [CrossRef] [PubMed] [Google Scholar]
  54. Marchand P, Garel M, Bourgoin G, Michel P, Maillard D, Loison A. 2014. Habitat-related variation in carcass mass of a large herbivore revealed by combining hunting and GPS data. Journal of Wildlife Management, 78, 657–670. [CrossRef] [Google Scholar]
  55. Marchand P, Garel M, Bourgoin G, Combining familiarity and landscape features helps break down the barriers between movements and home ranges in a non-territorial large herbivore. Journal of Animal Ecology, 86, 371–383. [Google Scholar]
  56. Marchand P, Garel M, Bourgoin G, Dubray D, Maillard D, Loison A. 2015. Sex-specific adjustments in habitat selection contribute to buffer mouflon against summer conditions. Behavioral Ecology, 26, 472–482. [CrossRef] [Google Scholar]
  57. Martins AG, Netto NT, Aulagnier S, Borges A, Dubois M, Vicente L, Gerard J-F, Maublanc ML. 2002. Population subdivision among mouflon sheep (Ovis gmelini) ewes and ranging behaviour of rams during the rut. Journal of Zoology, 258, 27–37. [Google Scholar]
  58. Mazé-Guilmo E, Blanchet S, McCoy KD, Loot G. 2016. Host dispersal as the driver of parasite genetic structure: a paradigm lost? Ecology Letters, 19, 336–347. [CrossRef] [PubMed] [Google Scholar]
  59. Molento MB, Buzatti A, Sprenger LK. 2016. Pasture larval count as a supporting method for parasite epidemiology, population dynamic and control in ruminants. Livestock Science, 192, 48–54. [Google Scholar]
  60. Montano V, Jombart T. 2017. An Eigenvalue test for spatial principal component analysis. BMC Bioinformatics, 18, 562. [CrossRef] [PubMed] [Google Scholar]
  61. Nei M. 1973. Analysis of gene diversity in subdivided populations. Proceedings of the National Academy of Sciences, 70, 3321–3323. [CrossRef] [Google Scholar]
  62. Nieberding CM, Durette-Desset MC, Vanderpoorten A, Casanova JC, Ribas A, Deffontaine V, Feliu C, Morand S, Libois R, Michaux JR. 2008. Geography and host biogeography matter for understanding the phylogeography of a parasite. Molecular Phylogenetics and Evolution, 47, 538–554. [CrossRef] [PubMed] [Google Scholar]
  63. Otsen M, Plas ME, Lenstra JA, Roos MH, Hoelstra R. 2000. Microsatellite diversity of isolates of the parasitic nematode Haemonchus contortus. Molecular Biochemical Parasitology, 110, 69–77. [CrossRef] [Google Scholar]
  64. Podgórski T, Scandura M, Jedrzejewska B. 2014. Next of kin next door – philopatry and socio-genetic population structure in wild boar. Journal of Zoology, 294, 190–197. [Google Scholar]
  65. Poglayen G, Urbani L, Modugno F, Scala A, Giannetto S, Rossi L. 2018. The Italian Mouflon (Ovis musimon): a brief history of its parasites in the last 45 years. Research Journal of Zoology, 1, 2. [Google Scholar]
  66. Portanier E, Garel M, Devillard S, Marchand P, Andru J, Maillard D, Bourgoin G. 2017. Introduction history overrides social factors in explaining genetic structure of females in Mediterranean mouflon. Ecology and Evolution, 7, 9580–9591. [CrossRef] [PubMed] [Google Scholar]
  67. Portanier E, Garel M, Devillard S, Maillard D, Poissant J, Galan M, Benabed S, Poirel MT, Duhayer J, Itty C, Bourgoin G. 2019. Both candidate gene and neutral genetic diversity correlate with parasite resistance in female Mediterranean mouflon. BMC Ecology, 19, 12. [CrossRef] [PubMed] [Google Scholar]
  68. Redman E, Packard E, Grillo V, Smith J, Jackson F, Gilleard JS. 2008. Microsatellite analysis reveals marked genetic differentiation between Haemonchus contortus laboratory isolates and provides a rapid system of genetic fingerprinting. International Journal for Parasitology, 38, 111–122. [CrossRef] [PubMed] [Google Scholar]
  69. Roeber F, Jex AR, Gasser RB. 2013. Impact of gastrointestinal parasitic nematodes of sheep, and the role of advanced molecular tools for exploring epidemiology and drug resistance – an Australian perspective. Parasites & Vectors, 6, 1–13. [Google Scholar]
  70. Saïd S, Servanty S. 2005. The influence of landscape structure on female roe deer home-range size. Landscape Ecology, 20, 1003–1012. [Google Scholar]
  71. Samuel WM, Pybus MJ, Kocan AA. 2001. Parasitic diseases of wild mammals, 2nd edn. Ames: Iowa State University Press. [CrossRef] [Google Scholar]
  72. Shen D, Wang J, Zhang D, Peng Z, Yang T, Wang Z, Bowman DD, Hou Z, Liu Z. 2017. Genetic diversity of Haemonchus contortus isolated from sympatric wild blue sheep (Pseudois nayaur) and sheep in Helan Mountains, China. Parasites & Vectors, 10, 437. [CrossRef] [PubMed] [Google Scholar]
  73. Silvestre A, Sauve C, Cortet J, Cabaret J. 2009. Contrasting genetic structures of two parasitic nematodes, determined on the basis of neutral microsatellite markers and selected anthelmintic resistance markers. Molecular Ecology, 18, 5086–5100. [CrossRef] [PubMed] [Google Scholar]
  74. Skryabin KI, Shikhobalova NP, Schulz RS, Popova TI, Boev SN, Delyamure SL. 1961. Key to parasitic nematodes, Vol. 3. Strongylata. Jerusalem: Israel Program for Scientific Translation. [Google Scholar]
  75. Taylor M, Coop R, Wall R. 2016. Veterinary parasitology, 4th edn. Sussex: Wiley Blackwell. [Google Scholar]
  76. Taylor MA, Coop RL, Wall RL. 2014. Veterinary parasitology, 4th edn. Sussex: Wiley Blackwell. [Google Scholar]
  77. Turner WC, Getz WM. 2010. Seasonal and demographic factors influencing gastrointestinal parasitism in ungulates of Etosha national park. Journal of Wildlife Diseases, 46, 1108–1119. [CrossRef] [PubMed] [Google Scholar]
  78. Van Oosterhout C, Hutchinson WF, Wills DPM, Shipley P. 2004. MICRO-CHECKER: software for identifying and correcting genotyping errors in microsatellite data. Molecular Ecology Notes, 4, 535–538. [Google Scholar]
  79. VanderWaal KL, Ezenwa VO. 2016. Heterogeneity in pathogen transmission: mechanisms and methodology. Functional Ecology, 30, 1606–1622. [Google Scholar]
  80. Wood ELD, Matthews JB, Stephenson S, Slote M, Nussey DH. 2013. Variation in fecal egg counts in horses managed for conservation purposes: individual egg shedding consistency, age effects and seasonal variation. Parasitology, 140, 115–128. [CrossRef] [PubMed] [Google Scholar]
  81. Yin F, Gasser RB, Li F, Bao M, Huang W, Zou F, Zhao G, Wang C, Yang X, Zhou Y, Zhao J, Fang R, Hu M. 2016. Population structure of Haemonchus contortus from seven geographical regions in China, determined on the basis of microsatellite markers. Parasites & Vectors, 9, 586. [CrossRef] [PubMed] [Google Scholar]
  82. Zaffaroni E, Manfredi MT, Citterio C, Sala M, Piccolo G, Lanfranchi P. 2000. Host specificity of abomasal nematodes in free ranging alpine ruminants. Veterinary Parasitology, 90, 221–230. [CrossRef] [PubMed] [Google Scholar]
  83. Zimmermann B, Nelson L, Wabakken P, Sand H, Liberg O. 2014. Behavioral responses of wolves to roads: scale-dependent ambivalence. Behavioral Ecology, 25, 1353–1364. [CrossRef] [Google Scholar]

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