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Dryad

Data from: Detecting small-scale genotype-environment interactions in apomictic dandelion (Taraxacum officinale) populations

Cite this dataset

McLeod, Kylie A.; Scascitelli, Moira; Vellend, Mark (2012). Data from: Detecting small-scale genotype-environment interactions in apomictic dandelion (Taraxacum officinale) populations [Dataset]. Dryad. https://doi.org/10.5061/dryad.c9q92

Abstract

Studies of genotype × environment interactions (G×E) and local adaptation provide critical tests of natural selection’s ability to counter opposing forces such as gene flow. Such studies may be greatly facilitated in asexual species, given the possibility for experimental replication at the level of true genotypes (rather than populations) and the possibility of using molecular markers to assess genotype-environment associations in the field (neither of which is possible for most sexual species). Here we tested for G×E in asexual dandelions (Taraxacum officinale) by subjecting six genotypes to experimental drought, mown, and benign (control) conditions, and subsequently using microsatellites to assess genotype-environment associations in the field. We found strong G×E, with genotypes that performed poorly under benign conditions showing the highest performance under stressful conditions (drought or mown). Our six focal genotypes comprise >80% of plants in local populations. The most common genotype in the field showed its highest relative performance under mown conditions (the most common habitat in our study area), and almost all plants of this genotype in the field were found growing in mowed lawns. Genotypes performing best under benign experimental conditions were found most frequently in unmown conditions in the field. These results are strongly indicative of local adaptation at a very small scale, with unmown microsites of only a few square meters typically embedded within larger mown lawns. By studying an asexual species we were able to map genotypes with known ecological characteristics to environments with high spatial precision.

Usage notes

Location

Canada
Vancouver
British Columbia