bGlobal density of microsatellites for each nucleotide class, including unlisted motifs (if any).
The microsatellite status of each tumour was determined by evaluating five microsatellite markers (D2S123, D5S346, D17S250, BAT25, and BAT26).
The microsatellite status of each tumor was determined by evaluating the five microsatellite markers (D2S123, D5S346, D17S250, BAT25, and BAT26).
They were generated according to the "speed congenics" method described previously (Koelsch et al. 2011; Visscher 1999) This method uses animals with heterozygous alleles at the chromosomal regions of interest but the greatest rate of homozygous BDIX alleles on all other chromosomes for backcrossing and requires microsatellite analysis of each generation.
Within the population, microsatellite size is highly variable; however, each individual possesses unique microsatellites of a set length.
This association became undetectable in comparisons of microsatellites of the same length, although the number of loci in each comparison was limited.
Results of this analysis showed a significant relationship (first squared canonical correlation = 0.9024, P = 0.0001) between perfect and imperfect microsatellites among the species, wherein the imperfect microsatellites of different lengths revealed lower canonical variation than that of the perfect microsatellites in each species (Fig. 2).
The five chloroplast microsatellites of rice were first described by Ishii and McCouch ([2000]).
Twenty-two microfatellites of B. roxburghiana were isolated and tested.
Here, microsatellites of length 20, 21, 22, 23 and 24 bp were identified in genome-wide manner in each species.
