Identifying sources of tick blood meals using unidentified tandem mass spectral libraries

Nature Communications

Volumn 4, Issue , 2013, Pages

  Önder, Özlem ^a   Shao, Wenguang ^b   Kemps, Brian D ^a   Lam, Henry ^b   Brisson, Dustin ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

BIOTECHNOLOGY; BLOOD; DISEASE VECTOR; GENOME; HOST-PATHOGEN INTERACTION; PATHOLOGY; PROTEOMICS; TICK;

AMINO ACID SEQUENCE; ARTICLE; GENE SEQUENCE; IXODES SCAPULARIS; MEAL; NONHUMAN; PROTEOMICS; TANDEM MASS SPECTROMETRY; VERTEBRATE; ALGORITHM; ANIMAL; CLUSTER ANALYSIS; FEEDING BEHAVIOR; LARVA; METABOLISM; MOLECULAR EVOLUTION; MOLTING; MOUSE; NUCLEOTIDE SEQUENCE; PARASITOLOGY; PEPTIDE LIBRARY; PHYSIOLOGY; PROCEDURES; SPECIES DIFFERENCE; TICK;

PEPTIDE LIBRARY; PROTEOME;

ALGORITHMS; ANIMALS; CLUSTER ANALYSIS; CONSERVED SEQUENCE; EVOLUTION, MOLECULAR; FEEDING BEHAVIOR; LARVA; MICE; MOLTING; PEPTIDE LIBRARY; PROTEOME; PROTEOMICS; SPECIES SPECIFICITY; TANDEM MASS SPECTROMETRY; TICKS; VERTEBRATES;

EID: 84877741374     PISSN: None     EISSN: 20411723     Source Type: Journal    
DOI: 10.1038/ncomms2730     Document Type: Article

References (60)

1. Keesing, F. et al. Impacts of biodiversity on the emergence and transmission of infectious diseases. Nature 468, 647-652 (2010).
2. Leibold, M. A. A graphical model of keystone predators in food webs: trophic regulation of abundance, incidence, and diversity patterns in communities. Am. Nat. 147, 784-812 (1996).
3. Rose, M. D. & Polis, G. A. The distribution and abundance of coyotes: The effects of allochthonous food subsidies from the sea. Ecology 79, 998-1007 (1998). (Pubitemid 28378708)
4. Johnson, P. T. J. & Thieltges, D. W. Diversity, decoys and the dilution effect: how ecological communities affect disease risk. J. Exp. Bio. 213, 961-970 (2010).
5. LoGiudice, K., Ostfeld, R. S., Schmidt, K. A. & Keesing, F. The ecology of infectious disease: effects of host diversity and community composition on Lyme disease risk. Proc. Natl Acad. Sci. USA 100, 567-571 (2003). (Pubitemid 36126092)
6. McLeod, R. S. Costs of major parasites to the Australian livestock industries. Int. J. Parasitol. 25, 1363-1367 (1995).
7. Morgan, E. R. & Wall, R. Climate change and parasitic disease: farmer mitigation? Trends Parasitol. 25, 308-313 (2009).
8. Taylor, L. H., Latham, S. M. & Woolhouse, M. E. Risk factors for human disease emergence. Phil. Trans Roy. Soc. B 356, 983-989 (2001). (Pubitemid 32696243)
9. Ezenwa, V. O., Godsey, M. S., King, R. J. & Guptill, S. C. Avian diversity and West Nile virus: testing associations between biodiversity and infectious disease risk. Proc. Biol. Sci. 273, 109-117 (2006). (Pubitemid 46768052)
10. Glass, G. E. et al. Environmental risk factors for Lyme disease identified with geographic information systems. Am. J. Public Health 85, 944-948 (1995).
11. Khatchikian, C. E. et al. Geographical and environmental factors driving the increase in the Lyme disease vector, Ixodes scapularis. Ecosphere 3, 85 (2012).
12. Martens, P. et al. Climate change and future populations at risk of malaria. Global Environ. Change-Human and Policy Dimensions 9, S89-S107 (1999). (Pubitemid 29523850)
13. Goodman, J. L., Dennis, D. T. & Sonenshine, D. E. Tick-borne diseases of humans (ASM Press, 2005).
14. Brisson, D., Brinkley, C., Humphrey, P. T., Kemps, B. D. & Ostfeld, R. S. It takes a community to raise the prevalence of a zoonotic pathogen. Interdiscip. Perspect. Infect. Dis. 2011, 741406 (2011).
15. Brisson, D. & Dykhuizen, D. E. ospC diversity in Borrelia burgdorferi: different hosts are different niches. Genetics 168, 713-722 (2004). (Pubitemid 39491451)
16. Brisson, D., Dykhuizen, D. E. & Ostfeld, R. S. Conspicuous impacts of inconspicuous hosts on the Lyme disease epidemic. Proc. Biol. Sci. 275, 227-235 (2008). (Pubitemid 350174590)
17. Kilpatrick, A. M., Daszak, P., Jones, M. J., Marra, P. P. & Kramer, L. D. Host heterogeneity dominates West Nile virus transmission. Proc. Biol. Sci. 273, 2327-2333 (2006). (Pubitemid 44387340)
18. Li, W. et al. Bats are natural reservoirs of SARS-like coronaviruses. Science 310, 676-679 (2005). (Pubitemid 41528160)
19. Lord, R. D., Lord, V. R., Humphreys, J. G. & McLean, R. G. Distribution of Borrelia burgdorferi in host mice in Pennsylvania. J. Clin. Microbiol. 32, 2501-2504 (1994). (Pubitemid 24284653)
20. Matuschka, F. R., Fischer, P., Musgrave, K., Richter, D. & Spielman, A. Hosts on which nymphal Ixodes ricinus most abundantly feed. Am. J. Trop. Med. Hyg. 44, 100-107 (1991).
21. Allan, B. F., Goessling, L. S., Storch, G. A. & Thach, R. E. Blood meal analysis to identify reservoir hosts for Amblyomma americanum ticks. Emerg. Infect. Dis. 16, 433-440 (2010).
22. Arnold, E. H., Simmons, S. W. & Fawcett, D. G. Precipitin technique for determining mosquito blood meals. Public Health Rep. 61, 1244-1249 (1946).
23. Burkot, T. R., Goodman, W. G. & DeFoliart, G. R. Identification of mosquito blood meals by enzyme-linked immunosorbent assay. Am. J. Trop. Med. Hyg. 30, 1336-1341 (1981). (Pubitemid 12183409)
24. Kent, R. J. Molecular methods for arthropod bloodmeal identification and applications to ecological and vector-borne disease studies. Mol. Ecol. Resour. 9, 4-18 (2009).
25. Tempelis, C. H. & Rodrick, M. L. Passive hemagglutination inhibition technique for the identification of arthropod blood meals. Am. J. Trop. Med. Hyg. 21, 238-245 (1972).
26. Wickramasekara, S., Bunikis, J., Wysocki, V. & Barbour, A. G. Identification of residual blood proteins in ticks by mass spectrometry proteomics. Emerg. Infect. Dis. 14, 1273-1275 (2008).
27. Laskay, U. A. et al. Development of a host blood meal database: de novo sequencing of hemoglobin from nine small mammals using mass spectrometry. Biol. Chem. 393, 195-201 (2012).
28. Gariepy, T. D., Lindsay, R., Ogden, N. & Gregory, T. R. Identifying the last supper: utility of the DNA barcode library for bloodmeal identification in ticks. Mol. Ecol. Resour. 12, 646-652 (2012).
29. Humair, P.-F. et al. Molecular identification of bloodmeal source in Ixodes ricinus ticks using 12S rDNA as a genetic marker. J. Med. Entomol. 44, 869-880 (2007). (Pubitemid 47442068)
30. Morán Cadenas, F. et al. Identification of host bloodmeal source and Borrelia burgdorferi sensu lato in field-collected Ixodes ricinus ticks in Chaumont (Switzerland). J. Med. Entomol. 44, 1109-1117 (2007).
31. Mota, J. et al. Identification of blood meal source and infection with Trypanosoma cruzi of Chagas disease vectors using a multiplex cytochrome b polymerase chain reaction assay. Vector Borne Zoonotic Dis. 7, 617-627 (2007).
32. Mukabana, W. R., Takken, W. & Knols, B. G. Analysis of arthropod bloodmeals using molecular genetic markers. Trends Parasitol. 18, 505-509 (2002). (Pubitemid 35441265)
33. Pizarro, J. C. & Stevens, L. A new method for forensic DNA analysis of the blood meal in Chagas disease vectors demonstrated using Triatoma infestans from Chuquisaca, Bolivia. PLoS ONE 3, e3585 (2008).
34. Thiemann, T. C. & Reisen, W. K. Evaluating sampling method bias in Culex tarsalis and Culex quinquefasciatus (diptera: culicidae) bloodmeal identification studies. J. Med. Entomol. 49, 143-149 (2012).
35. Craig, R., Cortens, J. C., Fenyo, D. & Beavis, R. C. Using annotated peptide mass spectrum libraries for protein identification. J. Proteome Res. 5, 1843-1849 (2006). (Pubitemid 44232697)
36. Dasari, S. et al. Pepitome: evaluating improved spectral library search for identification complementarity and quality assessment. J. Proteome Res. 11, 1686-1695 (2012).
37. Frewen, B. E., Merrihew, G. E., Wu, C. C., Noble, W. S. & MacCoss, M. J. Analysis of peptide MS/MS spectra from large-scale proteomics experiments using spectrum libraries. Anal. Chem. 78, 5678-5684 (2006). (Pubitemid 44265027)
38. Lam, H. & Aebersold, R. Building and searching tandem mass (MS/MS) spectral libraries for peptide identification in proteomics. Methods 54, 424-431 (2011).
39. Lam, H. et al. Building consensus spectral libraries for peptide identification in proteomics. Nat. Methods 5, 873-875 (2008).
40. Stein, S. E. & Scott, D. R. Optimization and testing of mass-spectral library search algorithms for compound identification. J. Am. Soc. Mass Spec. 5, 859-866 (1994).
41. Deblinger, R. D. & Rimmer, D. W. Efficacy of a permethrin-based acaricide to reduce the abundance of Ixodes dammini (Acari: Ixodidae). J. Med. Entomol. 28, 708-711 (1991).
42. Dolan, M. C. et al. Control of immature Ixodes scapularis (Acari: Ixodidae) on rodent reservoirs of Borrelia burgdorferi in a residential community of southeastern Connecticut. J. Med. Entomol. 41, 1043-1054 (2004). (Pubitemid 39606427)
43. Tsao, J. I. et al. An ecological approach to preventing human infection: vaccinating wild mouse reservoirs intervenes in the Lyme disease cycle. Proc. Natl Acad. Sci. USA 101, 18159-18164 (2004). (Pubitemid 40054090)
44. Hornbostel, V. L., Ostfeld, R. S. & Benjamin, M. A. Effectiveness of Metarhizium anisopliae (Deuteromycetes) against Ixodes scapularis (Acari: Ixodidae) engorging on Peromnyscus leucopus. J. Vector Ecol. 30, 91-101 (2005). (Pubitemid 40983798)
45. Brisson, D. & Dykhuizen, D. E. A modest model explains the distribution and abundance of Borrelia burgdorferi strains. Am. J. Trop. Med. Hyg. 74, 615-622 (2006). (Pubitemid 46774444)
46. Phillips, J. S., Adeyeye, O. & Bruni, D. Respiratory metabolism of the soft tick, Ornithodoros turicata (Duges). Exp. Appl. Acarol. 19, 103-115 (1995).
47. Ribeiro, J. M. The midgut hemolysin of Ixodes dammini (Acari: Ixodidae). J. Parasitol. 74, 532-537 (1988).
48. Cawood, A. H. DNA fingerprinting. Clin. Chem. 35, 1832-1837 (1989). (Pubitemid 19242216)
49. Lam, H. et al. Development and validation of a spectral library searching method for peptide identification from MS/MS. Proteomics 7, 655-667 (2007). (Pubitemid 46453760)
50. Beer, I., Barnea, E., Ziv, T. & Admon, A. Improving large-scale proteomics by clustering of mass spectrometry data. Proteomics 4, 950-960 (2004). (Pubitemid 38445955)
51. Frank, A. M. et al. Clustering millions of tandem mass spectra. J. Proteome Res. 7, 113-122 (2008). (Pubitemid 351171122)
52. Frank, A. M. et al. Spectral archives: extending spectral libraries to analyze both identified and unidentified spectra. Nat. Methods 8, 587-591 (2011).
53. Tabb, D. L., MacCoss, M. J., Wu, C. C., Anderson, S. D. & Yates, 3rd J. R. Similarity among tandem mass spectra from proteomic experiments: detection, significance, and utility. Anal. Chem. 75, 2470-2477 (2003). (Pubitemid 36582834)
54. Deutsch, E. W. et al. A guided tour of the trans-proteomic pipeline. Proteomics 10, 1150-1159 (2010).
55. Onder, O., Aygun-Sunar, S., Selamoglu, N. & Daldal, F. A glimpse into the proteome of phototrophic bacterium Rhodobacter capsulatus. Adv. Exp. Med. Biol. 675, 179-209 (2010).
56. Onder, O., Turkarslan, S., Sun, D. & Daldal, F. Overproduction or absence of the periplasmic protease DegP severely compromises bacterial growth in the absence of the dithiol: disulfide oxidoreductase DsbA. Mol. Cell Proteomics 7, 875-890 (2008). (Pubitemid 351737089)
57. Onder, O. et al. Modifications of the lipoamide-containing mitochondrial subproteome in a yeast mutant defective in cysteine desulfurase. Mol. Cell Proteomics 5, 1426-1436 (2006). (Pubitemid 44323296)
58. Efron, B. & Tibshirani, R. An Introduction to the bootstrap (Chapman & Hall, 1993).
59. Huelsenbeck, J. P. & Ronquist, F. MRBAYES: Bayesian inference of phylogenetic trees. Bioinformatics 17, 754-755 (2001). (Pubitemid 32851390)
60. Vizcaino, J. A. et al. The Proteomics Identifications (PRIDE) database and associated tools: status in 2013. Nucleic Acids Res. 41, D1063-D1069 (2013).