Spatial genetic structure of lowbush blueberry, Vaccinium angustifolium, in four fields in Maine

Publication Overview
TitleSpatial genetic structure of lowbush blueberry, Vaccinium angustifolium, in four fields in Maine
AuthorsBell DJ, Rowland LJ, Zhang D, Drummond FA
TypeJournal Article
Journal NameBotany
Volume87
Issue10
Year2009
Page(s)932-946
CitationBell DJ, Rowland LJ, Zhang D, Drummond FA. Spatial genetic structure of lowbush blueberry, Vaccinium angustifolium, in four fields in Maine. Botany. 2009; 87(10):932-946.

Abstract

Expressed sequence tag – polymerase chain reaction (EST-PCR) molecular markers were used to infer spatial genetic structure of four lowbush blueberry (Vaccinium angustifolium Ait.) fields in Maine. Genetic structure was quantified at three spatial scales: (1) within apparent clones (intrapatch), (2) among clones within a field, and (3) among fields separated by as much as 65 km. Of five “clones” or putative individuals examined in the intrapatch study, two showed complete genetic homogeneity within the patch, while three showed some band differences at their edges compared with their interiors. These differences at the edges, however, matched adjacent clones (so-called “intruders”), from which it was concluded that lowbush blueberry exhibits a fairly tight, phalanx clonal architecture with no evidence of invasive seedling establishment within clones. No significant correlation between genetic and physical distance was found among clones within fields via several statistical approaches. Significant among-field genetic differentiation was found via AMOVA (Î(PT) = 8.4%; p
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Properties
Additional details for this publication include:
Property NameValue
Publication TypeJournal Article
Publication Date2009
Published Location|||
Language Abbreng
Publication Model[electronic resource].
URLhttp://dx.doi.org/10.1139/B09-058
KeywordsVaccinium angustifolium, blueberries, spatial variation, population genetics, population structure, expressed sequence tags, polymerase chain reaction, genetic markers, clones, geographical variation, edge effects, fields, seedlings, genetic distance, seed dispersal, pollen