Genetic stock identification of Russian honey bees

Journal of Economic Entomology

Volumn 103, Issue 3, 2010, Pages 917-924

  Bourgeois, Lelania ^a   Sheppard, Walter S ^b   Allen Sylvester, H ^a   Rinderer, Thomas E ^a  

^a USDA ARS Honey Bee Breeding Genetics and Physiology Research Laboratory   (United States)

^b WASHINGTON STATE UNIVERSITY   (United States)

Author keywords

Genetic stock identification; Honey bee; Microsatellite; Single nucleotide polymorphism

Indexed keywords

MICROSATELLITE DNA;

ANIMAL; ARTICLE; BEE; DNA SEQUENCE; GENETICS; RUSSIAN FEDERATION; SINGLE NUCLEOTIDE POLYMORPHISM;

ANIMALS; BEES; MICROSATELLITE REPEATS; POLYMORPHISM, SINGLE NUCLEOTIDE; RUSSIA; SEQUENCE ANALYSIS, DNA;

ACARI; APIS MELLIFERA; APOIDEA; VARROA;

EID: 77953079342     PISSN: 00220493     EISSN: None     Source Type: Journal    
DOI: 10.1603/EC09335     Document Type: Article

References (35)

1. Anderson, E. C., R. S. Waples, and S. T. Kalinowski. 2008. An improved method for predicting the accuracy of genetic stock identification. Can. J. Fish. Aquat. Sci. 65: 1475- 1486.
2. Beacham, T. D., J. R. Candy, B. McIntosh, C. MacConnachie, A. Tabata, K. Kaukinen, L. Deng, K. M. Miller, R. E. Withler, and N. Varnavskaya. 2005a. Estimation of stock composition and individual identification of sockeye salmon on a Pacific Rim basis using microsatellite and major histocompatibility complex variation. Trans. Am. Fish. Soc. 134: 1124-1146.
3. Beacham, T. D., B. McIntosh, and C. MacConnachie. 2005b. Population structure and stock identification of sockeye salmon (Oncorhynchus nerka) in coastal lakes in British Columbia, Canada. Can. J. Zool. 83: 834-844.
4. Belkhir, K., P. Borsa, J. Goudet, L. Chikhi, and F.Bonhomme. 1996. Genetix, logiciel sous Windows pour la géné tique des populations, Laboratoire Génome, Populations, Interactions, CNRS UMR 5000, Université de Montpellier II, Montpellier, France.
5. Boniotto, M., L. Segat, M. Milanese, and S. Crovella. 2005. Detection of two functional polymorphisms in the promoter region of the IL-18 gene by single-tube allele specific PCR and melting temperature analysis. J. Immunol. Methods 304: 184-188.
6. Bourgeois, A. L., and T. E. Rinderer. 2009. Genetic characterization of Russian honey bee stock selected for improved resistance to Varroa destructor. J. Econ. Entomol. 102: 1233-1238.
7. Bourgeois, L., A. Sylvester, R. Danka, and T. Rinderer. 2008. Comparison of microsatellite DNA diversity among commercial queen breeder stocks of Italian honey bees in the United States and Italy. J. Apic. Res. 47: 93-98.
8. Cavalli-Sforza, L. S., and A.W.F. Edwards. 1967. Phylogenetic analysis models and estimation procedures. Evolution 3: 550-557.
9. De Guzman, L. I., T. E. Rinderer, G. T. Delatte, J. A. Stelzer, J. L. Williams, L. D. Beaman, V. Kuznetsov, S. J. Bernard, M. Bigalk, and H. Tubbs. 2001. Multi-state field trials of ARS Russian honey bees. 3. Responses to Acarapis woodi 1999, 2000. Am. Bee J. 141: 810-812.
10. Harris, J. W., and T. E. Rinderer. 2004. Varroa resistance of hybrid ARS Russian honeybees. Am. Bee J. 145: 797-800.
11. Hellmich, R. L. 1991. Continuing commercial queen production after the arrival of Africanized honey bees, pp. 187-197. In M. Spivak, D.J.C. Fletcher, and M. D. Breed (eds.), The "African" Honey Bee. Westview Press, Boulder, CO.
12. Hellmich, R. L., and G. D. Waller. 1990. Preparing for Africanized honey bees: evaluating control in mating apiaries. Am. Bee J. 130: 537-542.
13. Kibbe, W. A. 2007. OligoCalc: an online oligonucleotide properties calculator. Nucleic Acids Res. 35 (Web Server Issue): W43-W46.
14. Moriya, S., S. Urawa, O. Suzuki, A. Urano, and S. Abe. 2004. DNA microarray for rapid detection of mitochondrial DNAhaplotypes of chum salmon. Mar. Biotechnol. (NY) 6: 430-434.
15. Moriya, S., S. Sato, T. Azumaya, O. Suzuki, S. Urawa, A. Urano, and S. Abe. 2007. Genetic stock identification of chum salmon in the Bering Sea and North Pacific Ocean using mitochondrial DNA microarray. Mar. Biotechnol. (NY) 9: 179-191.
16. Moriya, S., S. Sato, M. Yoon, T. Azumaya, S. Urawa, A. Urano, and S. Abe. 2009. Nonrandom distribution of chum salmon stocks in the Bering Sea and the North Pacific Ocean estimated using mitochondrial DNA microarray. Fish. Sci. 75: 359-367.
17. Obata, Y., H. Imai, T. Kitakado, K. Hamasaki, and S. Kitada. 2006. The contribution of stocked mud crabs Scylla paramamosain to commercial catches in Japan, estimated using a genetic stock identification technique. Fisheries Res. 80: 113-121.
18. Potvin, C., and L. Bernatchez. 2001. Lacustrine spatial distribution of landlocked Atlantic salmon populations assessed across generations by multilocus individual assignment and mixed-stock analyses. Mol. Ecol. 10: 2375-2388.
19. Rinderer, T. E., V. N. Kuznetsov, R. G. Danka, and G. T. Delatte. 1997. An importation of potentially varroa-resistant honey bees from far-eastern Russia. Am. Bee J. 137: 787-789.
20. Rinderer, T. E., L. I. De Guzman, J. W. Harris, V. Kuznetsov, G. T. Delatte, J. A. Stelzer, and L. D. Beaman. 2000. The release of ARS Russian honey bees. Am. Bee J. 140: 305- 307.
21. Rinderer, T. E., L. I. De Guzman, G. T. Delatte, J. A. Stelzer, V. A. Lancaster, J. L. Williams, L. D. Beaman, V. Kuznetsov, M. Bigalk, S..J. Bernard, et al. 2001a. Amultistate field trials of ARS Russian honey bees 2. Honey production 1999, 2000. Am. Bee J. 141: 726-729.
22. Rinderer, T. E., L. I. De Guzman, G. T. Delatte, J. A. Stelzer, J. L. Williams, L. D. Beaman, V. Kuznetsov,M.Bigalk, S. J. Bernard, and H. Tubbs. 2001b. Multi-state field trials of ARS Russian honey bees. 1. Responses to varroa destructor 1999, 2000. Am. Bee J. 141: 658-661.
23. Rinderer, T. E., L. I. De Guzman, G. T. Delatte, and C. Harper. 2003. An evaluation of ARS Russian honey bees in combination with other methods for the control of Varroa mites. Am. Bee J. 143: 410-413.
24. Rinderer, T. E., L. I. De Guzman, and C. Harper. 2004. The effects of co-mingled Russian and Italian honey bee stocks and sunny or shaded apiaries on varroa mite infestation level, worker bee population and honey production. Am. Bee J. 144: 481-485.
25. Rinderer, T. E., L. De Guzman, and R. Danka. 2005. A new phase begins for the U.S. Dep. Agric.-ARS Russian Honey Bee Breeding Program. Am. Bee J. 145: 579-582.
26. Rousset, F. 2008. GENEPOPÕ007: a complete re-implementation of theGENEPOPsoftware for Windows and Linux. Mol. Ecol. Res. 8: 103-106.
27. Schuelke, M. 2000. Aneconomic method for the ßuorescent labeling of PCR fragments. Nat. Biotechnol. 18: 233-234.
28. Skaala, ø B. Høyheim, K. Glover, and G. Dahle. 2004. Microsatellite analysis in domesticated and wild Atlantic salmon (Salmo salar L.): allelic diversity and identification of individuals. Aquaculture 240: 131-143.
29. Solignac, M., F. Mougel, D. Vautrin, M. Monnerot, and J. M. Cornuet. 2007. A third-generation microsatellite-based linkage map of the honey bee, Apis mellifera, and its comparison with the sequence-based physical map. Gen. Biol. 8, no. R66.
30. Tamura, K., J. Dudley, M. Nei, and S. Kumar. 2007. MEGA4: molecular evolutionary genetics analysis (MEGA) software version 4.0. Mol. Biol. Evol. 24: 1596-1599.
31. Templin, W. D., R. L. Wilmot, C. M. Guthrie, III, and L. W. Seeb. 2005. United States and Canadian Chinook salmon populations in the Yukon River can be segregated based on genetic characteristics. Alaska Fish. Res. Bull. 11: 44-60.
32. Tubbs, H., C. Harper, M. Bigalk, S. J. Bernard, G. T. Delatte, H. A. Sylvester, and T. Rinderer. 2003. Commercial management of ARS Russian honey bees. Am. Bee J. 143: 819-820.
33. Waldbieser, G. C., and W. R. Wolters. 2007. Definition of the USDA103 strain of channel catfish (Ictalurus punctatus). Anim. Genet. 38: 180-183.
34. Whitfield, C. W., S. K. Behura, S. H. Berlocher, A. G. Clark, J. S. Johnston, W. S. Sheppard, D. R. Smith, A. V. Suarez, D. Weaver, and W. D. Tsutsui. 2006. Thrice out of Africa: ancient and recent expansions of the honey bee, Apis mellifera. Science (Wash., D.C.) 314: 642-645.
35. Winans, G. A., M. M. Paquin, D. M. Van Doornik, B. M. Baker, P. Thornton, D. Rawding, A. Marshall, P. Moran, and S. Kalinowski. 2004. Genetic stock identification of steelhead in the Columbia River Basin: an evaluation of different molecular markers. N. Am. J. Fish. Man. 24: 672-685.