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

Author:

Bell Daniel J.123,Rowland Lisa J.123,Zhang Dapeng123,Drummond Frank A.123

Affiliation:

1. University of Maine, School of Biology and Ecology, Deering Hall, Rm 305, Orono, ME 04473, USA.

2. US Department of Agriculture, Agricultural Research Service, Henry A. Wallace Beltsville Agricultural Research Center, Genetic Improvement of Fruits and Vegetables Laboratory, Building 010A, 10300 Baltimore Avenue, Beltsville, MD 20705, USA.

3. US Department of Agriculture, Agricultural Research Service, Henry A. Wallace Beltsville Agricultural Research Center, Sustainable Perennial Crops Laboratory, Building 001, 10300 Baltimore Avenue, Beltsville, MD 20705, USA.

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 (ΦPT= 8.4%; p ≤ 0.01) based upon transect samples across four fields ranging from 12.5 to 65 km apart. Principal component analysis and spatial autocorrelation (SA) corroborated these findings. Significant positive SA was found at the within-field distance class of <350 m, but SA decreased to an insignificant value by the first interfield distance of 12.5 km. A special form of SA analysis was employed to detect “hotspots” of genetic similarity between pairs of adjacent clones in two fields. Results indicated that 5 of 23 pairs of clones (21.7%) were genetically similar to each other, while the majority of pairs (18 of 23; 78.3%) showed random, decreasing patterns of genetic similarity. Results are discussed in terms of clonal dynamics including architecture, seedling recruitment, and inferred pollen or seed dispersal distances.

Publisher

Canadian Science Publishing

Subject

Plant Science,Ecology,Ecology, Evolution, Behavior and Systematics

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