Investigation of the population structure of the tick vector of lyme disease ixodes scapularis (acari: Ixodidae) in canada using mitochondrial cytochrome c oxidase subunit i gene sequences

Journal of Medical Entomology

Volumn 50, Issue 3, 2013, Pages 560-570

  Mechai, S ^a   Feil, E J ^b   Gariepy, T D ^c   Gregory, T R ^d   Lindsay, L R ^e   Millien, V ^f   Ogden, N H ^g  

^a UNIVERSITÉ DE MONTRÉAL   (Canada)

^b University of Bath   (United Kingdom)

^c AGRICULTURE AND AGRI FOOD CANADA   (Canada)

^d UNIVERSITY OF GUELPH   (Canada)

^e PUBLIC HEALTH AGENCY OF CANADA   (Canada)

^f MCGILL UNIVERSITY   (Canada)

^g PUBLIC HEALTH AGENCY OF CANADA   (Canada)

Author keywords

Ixodes scapularis; Lyme disease; mitochondrial gene; phylogeography

Indexed keywords

CYTOCHROME C OXIDASE; INSECT PROTEIN; MITOCHONDRIAL PROTEIN;

ANIMAL; ARTICLE; CANADA; CLUSTER ANALYSIS; DISEASE CARRIER; DNA SEQUENCE; GENETICS; IXODES; MOLECULAR GENETICS; PHYLOGENY; PHYLOGEOGRAPHY; POLYMERASE CHAIN REACTION; SEQUENCE HOMOLOGY;

ANIMALS; CANADA; CLUSTER ANALYSIS; ELECTRON TRANSPORT COMPLEX IV; INSECT PROTEINS; INSECT VECTORS; IXODES; MITOCHONDRIAL PROTEINS; MOLECULAR SEQUENCE DATA; PHYLOGENY; PHYLOGEOGRAPHY; POLYMERASE CHAIN REACTION; SEQUENCE ANALYSIS, DNA; SEQUENCE HOMOLOGY;

ACARI; IXODES SCAPULARIS; IXODIDA; IXODIDAE;

EID: 84878314387     PISSN: 00222585     EISSN: None     Source Type: Journal    
DOI: 10.1603/ME12178     Document Type: Article

References (53)

1. Aris-Brosou, S., and L. Excoffier. 1996. The impact of population expansion and mutation rate heterogeneity on DNA sequence polymorphism. Mol. Biol. Evol. 13: 494-504. (Pubitemid 26066101)
2. Baranton, G., G. Seinost, G. Theodore, D. Postic, and D. Dykhuizen. 2001. Distinct levels of genetic diversity of Borrelia burgdorferi are associated with different aspects of pathogenicity. Res. Microbiol. 152: 149-156. (Pubitemid 32222960)
3. Barbour, A. G. 1998. Fall and rise of Lyme disease and other Ixodes tick-borne infections in North America and Europe. Br. Med. Bull. 54: 647-658. (Pubitemid 28477201)
4. Barker, I. K., S. A. McEwen, G. A. Surgeoner, and H. Artsob. 1988. Borrelia burgdorferi, the agent of Lyme disease, in tick vectors and wildlife reservoirs in southern Ontario. Ont. Dis. Surv. Rep. 9: 151-154.
5. Beaumont, M. A., and M. Panchal. 2008. On the validity of nested clade phylogeographical analysis. Mol. Ecol. 17: 2563-2565. (Pubitemid 351724947)
6. Black,W.C., IV, C. F. Baer, M. F. Antolin, and N. M. DuTeau. 2001. Population genomics: genome-wide sampling of insect populations. Annu. Rev. Entomol. 46: 441-469. (Pubitemid 32304996)
7. Castoe, T. A., T. M. Doan, and C. L. Parkinson. 2004. Data partitions and complex models in Bayesian analysis: the phylogeny of Gymnophthalmid lizards. Syst. Biol. 53: 448-470.
8. Castoe, T. A., Z. J. Jiang, W. Gu, Z. O. Wang, and D. D. Pollock. 2008. Adaptive evolution and functional redesign of core metabolic proteins in snakes. PLoS One. 3: e2201.
9. De Lagarde, J. 1983. Initiation a loanalyse des donnees. Dunod, Paris, France.
10. Folmer, O., M. Black, W. Hoeh, R. Lutz, and R. Vrijenhoek. 1994. DNA primers for amplication of mitochondrial cytochrome c oxidase subunit I from diverse metazoan invertebrates. Mol. Marine. Biol. Biotechnol. 3: 294-297.
11. Fu, Y. X. 1997. Statistical tests of neutrality of mutations against population growth, hitchhiking and background selection. Genetics 147: 915-925.
12. Gariepy, T. D., R. Lindsay, N. Ogden, and T. R. Gregory. 2012. Identifying the last supper: utility of the DNA barcode library for bloodmeal identication in ticks. Mol. Ecol. Resour. 12: 646-652.
13. Hall, B. G. 2011. Phylogenetic trees made easy: a how-to manual for molecular biologists. Sinuaer, Sunderland, MA.
14. Hamilton, M. B. 2009. Population genetics. Wiley-Blackwell, New York.
15. Hill, M. O. 1974. Correspondence analysis: a neglected multivariate method. Appl. Stat. 23: 340-354.
16. Hinton, P. R. 2004. Statistics explained. Routledge, London, United Kingdom.
17. Holsinger, K. E., and B. S. Weir. 2009. Genetics in geographically structured populations: dening, estimating and interpreting FST. Nat. Rev. Genet. 10: 639-650.
18. Humphrey, P. T., D. A. Caporale, and D. Brisson. 2010. Uncoordinated phylogeography of Borrelia burgdorferi and its tick vector, Ixodes scapularis. Evolution 64: 2653-2663.
19. Johnson, R. C., G. P. Schmid, F. W. Hyde, A. G. Steigerwalt, and D. J. Brenner. 1984. Borrelia burgdorferi sp. nov.: etiologic agent of Lyme disease. Int. J. Syst. Bacteriol. 34: 496-497. (Pubitemid 14016593)
20. Koffi, J. K., P. A. Leighton, Y. Pelcat, L. Trudel, L. R. Lindsay, F. Milord, and N. H. Ogden. 2012. Passive surveillance for I. scapularis ticks: enhanced analysis for early detection of emerging Lyme disease risk. J. Med. Entomol. 49: 400-409.
21. Krakowetza, C. N., L. R. Lindsay, and N. B. Chilton. 2011. Genetic diversity in Ixodes scapularis (Acari: Ixodidae) from six established populations in Canada. Ticks Tick-Borne Dis. 2: 143-150.
22. Kruskal, W. H., and W. A. Wallis. 1952. Use of ranks in one-criterion variance analysis. J. Am. Stat. Assoc. 47: 583-621.
23. Kulldorff, M. 1997. A spatial scan statistic. Commun. Stat. Theory Methods 26: 1481-1496. (Pubitemid 127447921)
24. Kurtenbach, K., K. Hanincova, J. I. Tsao, G. Margos, D. Fish, and N. H. Ogden. 2006. Fundamental processes in the evolutionary ecology of Lyme borreliosis. Nat. Rev. Microbiol. 4: 660-669.
25. Larkin, M. A., G. Blackshields, N. P. Brown, R. Chenna, P. A. McGettigan, H. McWilliam, F. Valentin, I. M. Wallace, A. Wilm, R. Lopez et al. 2007. Clustal W and Clustal X version 2.0. Bioinformatics 23: 2947-2948. (Pubitemid 350162903)
26. Leighton, P. A., J. K. Koffi, Y. Pelcat, L. R. Lindsay, and N. H. Ogden. 2012. Predicting the speed of tick invasion: an empiricalmodelofrangeexpansionfortheLymedisease vector Ixodes scapularis in Canada. J. Appl. Ecol. 49: 457-464.
27. Librado, P., and J. Rozas. 2009. DnaSP v5: a software for comprehensive analysis of DNA polymorphism data. Bioinformatics 25: 1451-1452.
28. Liveris, D., I. Schwartz, D. McKenna, J. Nowakowski, R. Nadelman, J. Demarco, R. Iyer, S. Bittker, D. Cooper, D. Holmgren et al. 2012. Comparison of ve diagnostic modalities for direct detection of Borrelia burgdorferi in patients with early Lyme disease. Diagn. Microbiol. Infect. Dis. 73: 243-245.
29. Mantel, N. 1967. The detection of disease clustering and a generalized regression approach. Cancer Res. 27: 209-220.
30. Margos, G., J. I. Tsao, S. Castillo-Ramrez, Y. Girard, S. Hamer, A. Hoen, R. S. Lane, S. Raper, and N. H. Ogden. 2012. Two boundaries separate Borrelia burgdorferi populations in North America. Appl. Environ. Microbiol. 78: 6059-6067.
31. Norris, D. E., J.S.H. Klompen, J. E. Keirans, and W. C. Black, IV. 1996. Population genetics of Ixodes scapularis (Acari: Ixodidae) based on mitochondrial 16S and 12S genes. J. Med. Entomol. 33: 78-89. (Pubitemid 126429342)
32. Noureddine, R., A. Chauvin, and O. Plantard. 2011. Lack of genetic structure among Eurasian populations of the tick Ixodes ricinus contrasts with marked divergence from north-African populations. Int. J. Parasitol. 41: 183-192.
33. Ogden, N. H., A. Maarouf, I. K. Barker,M.Bigras-Poulin, L. R. Lindsay, M. G. Morshed, C. J. O'Callaghan, F. Ramay, D. Waltner-Toews, and D. F. Charron. 2006a. Climate change and the potential for range expansion of the Lyme disease vector Ixodes scapularis in Canada. Int. J. Parasitol. 36: 63-70. (Pubitemid 43049698)
34. Ogden, N. H., L. Trudel, H. Artsob, I. K. Barker, G. Beauchamp, D. Charron, M. A. Drebot, T. D. Galloway, R. O'Handley, R. A. Thompson et al. 2006b. Ixodes scapularis ticks collected by passive surveillance in Canada: analysis of geographic distribution and infection with the Lyme Borreliosis agent Borrelia burgdorferi. J. Med. Entomol. 43: 600-609. (Pubitemid 44734956)
35. Ogden, N. H., R. L. Lindsay, K. Hanincova, I. K. Barker, M. Bigras-Poulin, D. F. Charron, A. Heagy, C. M. Francis, C. J. O'Callaghan, I. Schwartz et al. 2008a. The role of migratory birds in introduction and range expansion of Ixodes scapularis ticks, and Borrelia burgdorferi and Anaplasma phagocytophilum in Canada. Appl. Environ. Microbiol. 74: 1780-1790. (Pubitemid 351400132)
36. Ogden, N. H., L. St-Onge, I. K. Barker, S. Brazeau, M. Bigras-Poulin, D. F. Charron, C. M. Francis, A. Heagy, L. R. Lindsay, A. Maarouf et al. 2008b. Risk maps for range expansion of the Lyme disease vector, Ixodes scapularis, in Canada now and with climate change. Int. J. Health Geogr. 7: 1-15.
37. Ogden, N. H., L. R. Lindsay,M.G. Morshed, P. N. Sockett, and H. Artsob. 2009. The emergence of Lyme disease in Canada. CMAJ. 180: 1221-1224.
38. Ogden, N. H., C. Bouchard, K. Kurtenbach, G. Margos, L. R. Lindsay, L. Trudel, S. Nguon, and F. Milord. 2010. Active and passive surveillance, and phylogenetic analysis of Borrelia burgdorferi elucidate the process of Lyme disease risk emergence in Canada. Environ. Health Perspect. 118: 909-914.
39. Ogden, N. H., G. Margos, D. M. Aanensen, M. A. Drebot, E. J. Feil, K. Hanincova, I. Schwartz, S. Tyler, and L. R. Lindsay. 2011. Investigation of genotypes of Borrelia burgdorferi in Ixodes scapularis ticks collected in surveillance in Canada. Appl. Environ Microbiol. 77: 3244-3254.
40. Peakall, R., and P. E. Smouse. 2006. GENALEX 6: genetic analysis in Excel. population genetic software for teaching and research. Mol. Ecol. Notes. 6: 288-295.
41. Qiu, W. G., D. E. Dykhuizen, M. S. Acosta, and B. J. Luft. 2002. Geographic uniformity of the Lyme disease spirochete (Borrelia burgdorferi) and its shared history with tick vector (Ixodes scapularis) in the Northeastern United States. Genetics 160: 833-849. (Pubitemid 34263452)
42. Ronquist, F., and J. P. Huelsenbeck. 2003. MrBayes 3: Bayesian phylogenetic inference undermixed models. Bioinformatics 19: 1572-1574. (Pubitemid 37038874)
43. Ronquist, F., M. Teslenko, P. van der Mark, D. L. Ayres, A. Darling, S. Hohna, B. Larget, L. Liu, M. A. Suchard, and J. P. Huelsenbeck. 2012. MrBayes 3.2: Efcient Bayesian phylogenetic inference and model choice across a large model space. Syst. Biol. 61: 539-542.
44. Salipante, S. J., and B. G. Hall. 2011. The inadequacies of minimum spanning trees in molecular epidemiology. J. Clin. Microbiol. 49: 3568-3575.
45. Saporta, G., and F. Lavallard. 1996. Loanalyse des donnees evolutives : methodes et applications. Technip, Paris, France.
46. Schneider, S., and L. Excoer. 1999. Estimation of past demographic parameters from the distribution of pairwise differences when the mutation rates vary among sites: application to human mitochondrial DNA. Genetics 152: 1079-1089. (Pubitemid 29330907)
47. Shao, R., and S. C. Barker. 2007. Mitochondrial genomes of parasitic arthropods: implications for studies of population genetics and evolution. Parasitology 134: 153-167. (Pubitemid 46045644)
48. Tajima, F. 1989. Statistical methods to test for nucleotide mutation hypothesis by DNA polymorphism. Genetics 123: 585-595. (Pubitemid 19274682)
49. Tamura, K., and M. Nei. 1993. Estimation of the number of nucleotide substitutions in the control region of mitochondrial DNA in humans and chimpanzees. Mol. Biol. Evol. 10: 512-526. (Pubitemid 23157236)
50. Tamura, K., D. Peterson, N. Peterson, G. Stecher, M. Nei, and S. Kumar. 2011. MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary dis-tance, and maximum parsimony methods. Mol. Biol. Evol. 28: 2731-2739.
51. Thompson, J. D., T. J. Gibson, F. Plewniak, F. Jeanmougin, and D. G. Higgins. 1997. The CLUSTAL-X windows interface: ßexible strategies for multiple sequence alignment aided by quality analysis tools. Nucleic Acids Res. 25: 4876-4882. (Pubitemid 28022245)
52. Weir, B. S. 1996. Genetic data analysis 2: methods for discrete population genetic data. Sinuaer, Sunderland, MA.
53. Yang, Z., and B. Rannala. 2005. Branch-length prior inßuences Bayesian posterior probability of phylogeny. Syst. Biol. 54: 455-470. (Pubitemid 41040444)