High marker discovery efficiency - High-throughput sequencing technology assists SLAF-Seq in discovering hundreds of thousands of tags within the whole genome.
Low dependence on the genome - It can be applied to species either with or without a reference genome.
Flexible scheme design - Single-enzyme, dual-enzyme, multi-enzyme digestion and various types of enzymes, all can be selected to cater different research goal or species. Pre-evaluation in silico is used to assure an optimal enzyme design.
Efficient enzymatic digestion - Pre-experiment was carried out to optimize the conditions, which makes the formal experiment stable and reliable. Fragment collection efficiency can achieve over 95%.
Evenly distributed SLAF tags - SLAF tags are evenly distributed in all chromosomes to the greatest extent, achieving an average of 1 SLAF per 4 kb.
Effective avoidance of repeats - Repetitive sequence in SLAF-Seq data is reduced to lower than 5%, especially in species with high level of repeats, such as wheat, maize, etc.
Extensive experience -Over 2000 closed SLAF-Seq projects on hundreds of species covering plants, mammals, birds, insects, aqua-organisms, etc.
Self-developed bioinformatic workflow - An integrated bioinformatic workflow for SLAF-Seq was developed by BMKGENE to ensure reliability and accuracy of final output.
Sample Requirements
Sample |
Conc.(ng/gl) |
Total (ug) |
OD260/280 |
DNA extracts |
>35 |
>1.6 (Volumn>15μl) |
1.6-2.5 |
Sequencing depth: 10X/Tag
Genome Size |
Recommended SLAF Tags |
< 500 Mb |
WGS is recommended |
500 Mb- 1 Gb |
100 K |
1 Gb -2 Gb |
200 K |
Giant or complex genomes |
300 K |
Container: 2 ml centrifuge tube
For most of samples, we recommend not to preserve in ethanol.
Sample labeling: Samples need to be clearly labeled and identical to submitted sample information form.
Shipment: Dry-ice: Samples need to be packed in bags first and buried in dry-ice.
1. Statistics of map result
2. SLAF marker development
3. Variation annotation
Year |
Journal |
IF |
Title |
Applications |
2022 |
Nature communications |
17.694 |
Genomic basis of the giga-chromosomes and giga-genome of tree peony Paeonia ostii |
SLAF-GWAS |
2015 |
New Phytologist |
7.433 |
Domestication footprints anchor genomic regions of agronomic importance in soybeans |
SLAF-GWAS |
2022 |
Journal of Advanced Research |
12.822 |
Genome-wide artificial introgressions of Gossypium barbadense into G. hirsutum reveal superior loci for simultaneous improvement of cotton fiber quality and yield traits |
SLAF-Evolutionary genetics |
2019 |
Molecular Plant |
10.81 |
Population Genomic Analysis and De Novo Assembly Reveal the Origin of Weedy Rice as an Evolutionary Game |
SLAF-Evolutionary genetics |
2019 |
Nature Genetics |
31.616 |
Genome sequence and genetic diversity of the common carp, Cyprinus carpio |
SLAF-Linkage map |
2014 |
Nature Genetics |
25.455 |
The genome of cultivated peanut provides insight into legume karyotypes, polyploid evolution and crop domestication. |
SLAF-Linkage map |
2022 |
Plant Biotechnology Journal |
9.803 |
Identification of ST1 reveals a selection involving hitchhiking of seed morphology and oil content during soybean domestication |
SLAF-Marker development |
2022 |
International Journal of Molecular Sciences |
6.208 |
Identification and DNA Marker Development for a Wheat-Leymus mollis 2Ns (2D) Disomic Chromosome Substitution |
SLAF-Marker development |