Volume 22, Number 6, 1991Evolution and genetics
|Page(s)||643 - 652|
Hybrid status of honey bee populations near the historic origin of Africanization in BrazilW.S. Shepparda, A.E.E. Soaresb, D. DeJongb and H. Shimanukia
a USDA-ARS, Bee Research Laboratory, Bldg 476, BARC-E, Beltsville, MD 20705, USA
b Univ de Sao Paulo, Faculdade de Medicina de Ribeirao Preto, Dpto de Genetica, Ribeirao Preto, 14 049, SP, Brazil
Abstract - Africanized honey bee populations are genetically heterogeneous across their extensive new world range. Over 35 years have elapsed since the introduction of A m scutellata to southeastern Brazil and we hypothesized that populations from this region should have achieved the highest degree of genetic equilibrium following the perturbation of introduction. We report here the results of a population genetic study of honey bees sampled near the origin of neotropical Africanization combining analyses of morphological, allozyme and mtDNA characters. Data from this study support previously reported allozyme frequency estimates and support the expectation that populations from this region are comparatively stable in genetic composition; and further, that significant polymorphism of European origin persists in the Africanized population of the region. Morphological and mtDNA data from these neotropical populations reveal the strong influence of the African race, A m scutellata. Apparent discordance among data sets from the several analytical methods reflects variation in selection and population size on the inheritance or persistence of such characters and indicates the importance of multiple character analysis.
Key words: Africanized honey bee / Brazil / population genetics / morphometry / mt DNA / enzyme polymorphism
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.