Impatiens glandulifera SNP and SilicoDArT genotyping data

We conducted genomic characterization based on SNP and SilicoDArT markers
on the invasive Himalayan balsam (Impatiens glandulifera) plants
originating from the native and non-native regions of their distribution.
When genetic relationships were explored by PCoA based on SNP and
SilicoDArT marker data, the first, second and third principal coordinates
explained altogether 37.4% and 31.0% of the variability, respectively.
Samples from the UK, Canada and Pakistan grouped together, while Indian
plants were clearly distinct based on SNP markers but relatively close to
the UK-Canada-Pakistan group based on SilicoDArT markers. Constructed
trees differentiated the individuals into clusters resembling the patterns
observed by PCoA. The Bayesian BAPS analysis revealed that the individuals
were distributed in seven clusters, representing samples from each of the
four Finnish populations, India, Pakistan and the combination of the UK
and Canada. Similar clustering was visible in the constructed UPGMA tree.
The Indian cluster did not display any ancestral gene flow with the
others, while the Pakistani cluster showed ancestral gene flow only with
the combined UK and Canada cluster. Furthermore, the latter cluster
displayed ancestral gene flow with the Finnish populations varying from 0%
to 3.1%. The AMOVA analysis showed that 45% and 26% of genetic variation
was present among the I. glandulifera groups/populations and the rest
within them based on SNP and SilicoDArT markers, respectively. Overall,
the Bayesian BAPS analysis and the following gene flow network were the
most informative tools for resolving relationships among native and
introduced plants.