High-throughput genotyping, especially on large-scale population, is a fundamental step in genetic association studies, which provides genetic basis for functional gene discovery, evolutionary analysis, etc. Instead of deep whole genome re-sequencing, reduced representation genome sequencing(RRGS) is introduced to minimize sequencing cost per sample, while maintain reasonable efficiency on genetic marker discovery. This is commonly achieved by extracting restriction fragment within given size range, which is named reduced representation library(RRL). Specific-locus amplified fragment sequencing(SLAF-Seq) is a self-developed strategy for de novo SNP discovery and SNP genotyping of large populations.
Higher genetic marker discovery efficiency – Combined with high-throughput sequencing technology, SLAF-Seq could achieve hundreds of thousands of tags discovered within whole genome to fulfill the request of diverse research projects, either with or withour a reference genome.
Customized&Flexible experimental design – For different research goal or species, different enzymatic digestion strategies are available including single-enzyme, dual-enzyme and multi-enzyme digestion. Digestion strategy will be pre-evaluated in silico to assure an optimal enzyme design.
High efficiency in enzymatic digestion – Pre-designed enzymatic digestion provides more evenly distributed SLAFs on chromosome. Fragment collection efficient can achieve over 95%.
Avoid repetitive sequence – Percentage of repetitive sequence in SLAF-Seq data is reduced to lower than 5%, especially in species with high level of repetitive elements, such as wheat, maize, etc.
Self-developed bioinformatic workflow – BMK developed an integrated bioinformatic workflow applicable to SLAF-Seq technology to ensure reliability and accuracy of final output.
Journal: Horticulture Research Published: 2020.7
Journal: the Plant Journal Published: 2020.08
Journal: Molecular Plant Published: 2019.5
Journal: Plant, Cell&Environment Published: 2021.04
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