Development of a 19-plex short tandem repeat typing system for individual identification and parentage testing of horses (Equus caballus)

Changes in population structure and genetic diversity of Misaki horses between 2015 and 2020

For the preservation of Misaki horses, changes in the population structure and genetic diversity of the horses for 5 years were analyzed using population and genotype data from 2015-2020. The microsatellite genotyping was performed, and the average number of alleles (Na), expected heterozygosity (He), and observed value (Ho) were calculated. Moreover, the average generation length (GL) was estimated from the population management record. Then, no significant differences in Na, He, and Ho were found between 2015 and 2020, suggesting their genetic diversity had been maintained for 5 years. Moreover, the average GL was estimated as 4.6 years. Compared to other native horses, a short average GL suggesting a rapid generation renewing is a characteristic of the Misaki population.

Short Tandem Repeat DNA Profiling Using Perylene-Oligonucleotide Fluorescence Assay

We report an amplification-free genotyping method to determine the number of human short tandem repeats (STRs). DNA-based STR profiling is a robust method for genetic identification purposes such as forensics and biobanking and for identifying specific molecular subtypes of cancer. STR detection requires polymerase amplification, which introduces errors that obscure the correct genotype. We developed a new method that requires no polymerase. First, we synthesized perylene-nucleoside reagents and incorporated them into oligonucleotide probes that recognize five common human STRs. Using these probes and a bead-based hybridization approach, accurate STR detection was achieved in only 1.5 h, including DNA preparation steps, with up to a 1000-fold target DNA enrichment. This method was comparable to PCR-based assays. Using standard fluorometry, the limit of detection was 2.00 ± 0.07 pM for a given target. We used this assay to accurately identify STRs from 50 human subjects, achieving >98% consensus with sequencing data for STR genotyping.