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000089626 1001_ $$aBaier, H.
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000089626 245__ $$aQPACE: power-efficient parallel architecture based on IBM  PowerXCell 8i
000089626 260__ $$aBerlin$$bSpringer$$c2010
000089626 300__ $$a149
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000089626 440_0 $$0PERI:(DE-600)2410154-0$$aComp. Sci. Res. Develop.$$v25$$x1865-2034
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000089626 520__ $$aDawson's burrowing bee is a large, fast-flying solitary nesting bee endemic to the arid zone of Western Australia. In this study the population structure of the species was examined with molecular markers. Using eight microsatellite loci, we genotyped 531 adult female bees collected from 13 populations of Dawson's burrowing bee, Amegilla dawsoni, across the species range. The mean number of alleles per locus ranged from 4 to 38 and expected heterozygosity was uniformly high with a mean of 0.602. Pairwise comparisons of F(ST) among all 13 populations ranged from 0.0071 to 0.0122 with only one significant estimate and an overall F(ST) of 0.001. The entire sample collection was in Hardy-Weinberg equilibrium and there was no evidence of inbreeding with a mean F(IS) of 0.010. The mating and nesting behaviour of this bee suggests that gene flow would be limited by monandry and the fact that almost 90% of females mate immediately on emergence. Nevertheless there is obviously sufficient gene flow to maintain panmixia, and we suggest that this results from infrequent and unreliable rainfall in the species range, which causes the bees to congregate at limited food resources, allowing a small number of unmated females from one emergence site to come into contact with males from another population. In addition, when drought eliminates food resources near an emergence site, the whole population may move elsewhere, increasing gene flow across the species range.
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000089626 588__ $$aDataset connected to Pubmed
000089626 650_2 $$2MeSH$$aAlleles
000089626 650_2 $$2MeSH$$aAnimal Migration
000089626 650_2 $$2MeSH$$aAnimals
000089626 650_2 $$2MeSH$$aAustralia
000089626 650_2 $$2MeSH$$aBees: genetics
000089626 650_2 $$2MeSH$$aFemale
000089626 650_2 $$2MeSH$$aGene Flow
000089626 650_2 $$2MeSH$$aGenetic Variation
000089626 650_2 $$2MeSH$$aGenotype
000089626 650_2 $$2MeSH$$aGeography
000089626 650_2 $$2MeSH$$aHeterozygote
000089626 650_2 $$2MeSH$$aMicrosatellite Repeats: genetics
000089626 650_2 $$2MeSH$$aNesting Behavior
000089626 650_2 $$2MeSH$$aRain
000089626 650_2 $$2MeSH$$aSexual Behavior, Animal
000089626 693__ $$0EXP:(DE-MLZ)NOSPEC-20140101$$5EXP:(DE-MLZ)NOSPEC-20140101$$eNo specific instrument$$x0
000089626 7001_ $$aBoettiger, H.
000089626 7001_ $$aDrochner, M.
000089626 7001_ $$aEicker, N.
000089626 7001_ $$aFischer, U.
000089626 7001_ $$aFodor, Z.
000089626 7001_ $$aFrommer, A.
000089626 7001_ $$aGomez, C.
000089626 7001_ $$aGoldrian, G.
000089626 7001_ $$aHeybrock, S.
000089626 7001_ $$aHierl, D.
000089626 7001_ $$aHüsken, M.
000089626 7001_ $$aHuth, T.
000089626 7001_ $$aKrill, B.
000089626 7001_ $$aLauritsen, J.
000089626 7001_ $$aLippert, T.
000089626 7001_ $$aMaurer, T.
000089626 7001_ $$aMendl, B.
000089626 7001_ $$aMeyer, N.
000089626 7001_ $$aNobile, A.
000089626 7001_ $$aOuda, I.
000089626 7001_ $$aPivanti, M.
000089626 7001_ $$aPleiter, D.
000089626 7001_ $$aRies, M.
000089626 7001_ $$aSchäfer, A.
000089626 7001_ $$aSchick, H.
000089626 7001_ $$aSchifano, F.
000089626 7001_ $$aSimma, H.
000089626 7001_ $$aSolbrig, S.
000089626 7001_ $$aStreuer, T.
000089626 7001_ $$aSulanke, K.-H.
000089626 7001_ $$aTripiccione, R.
000089626 7001_ $$aVogt, J.-S.
000089626 7001_ $$aWettig, T.
000089626 7001_ $$aWinter, F.
000089626 773__ $$0PERI:(DE-600)2410154-0$$a10.1007/s00450-010-0122-4$$gVol. 25, p. 149$$p149$$q25<149$$tComputer science - research and development$$v25$$x1865-2034$$y2010
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