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Agri-genome

The development and popularization of next-generation sequencing (NGS) technology is driving a penetration of genome research into agricultural research and industry.

As a provider of core tools in life science, MGI is committed to providing agricultural scientists and breeders with high-quality, convenient and stable agricultural genome research solutions, promoting genome sequencing and genotyping research, facilitating the construction and improvement of agri-genomic databases, and accelerating the breeding and improvement of crops and livestock.

MGI provides a variety of sequencing solution for Agri-genome

Genome de novo assembly research
For the species whose genome sequence is unknown or whose genome assembly is not ideal, de novo sequencing is a method to obtain the complete genome sequence information of the species, including different types of DNA libraries construction, sequencing, assembly and annotation with bioinformatics methods
GWAS research
Genome-wide association studies (GWAS) is a method for obtaining candidate genes or genomic regions associated with phenotypic traits. GWAS research is conducted base on SNPs and phenotypic information of each individual in a population, and the linkage disequilibrium between markers and target genes.
Genetic linkage map
A linkage map (also known as a genetic map) is a table for a species or experimental population that shows the position of its known genes or genetic markers relative to each other in terms of recombination frequency, rather than a specific physical distance along each chromosome.
Genetic breeding for crops and livestock
Marker-assisted selection and genomic selection are major approaches of genetic breeding for crops and livestock. Marker-assisted selection (MAS) is an indirect selection process where a trait of interest is selected based on a marker linked to a trait of interest, rather than on the trait itself. Genomic selection is a novel approach to traditional marker-assisted selection where selection are made based on few markers. Rather than seeking to identify individual loci significantly associated with a trait, genomic selection uses all marker data as predictors of performance and consequently delivers more accurate predictions.

DNBSEQ-G400

It provides an economic, simple and reliable sequencing scheme for agricultural genome research.

Recommended MGI Process for Agri-genome

Library preparation
MGISP-100 Automated Sample Preparation System MGISP-100 Automated Sample Preparation System is an automated workstation specialized for NGS applications. Through automated operation the system processes samples in batches, eliminates operators from repetitive processing procedures, increases the stability of library preparation, reduces the total costs, and significantly enhances the overall efficiency in the laboratory.
Sequencing
DNBSEQ-G400 adopts a novel “Flow Cell system” which can support various sequencing modes. With optimized optical and biochemical system, DNBSEQ-G400 provides rapid and simplified sequencing solutions. With its increased accuracy, decreased duplicates, reduced index hopping.
Bioinformation analysis
MegaBOLT bioinformatics analysis accelerator (hereinafter called MegaBOLT) is an MGI self-developed and NGS-concentrated hardware accelerating system for bioinformatics analysis. MegaBOLT supports the analysis of Whole Genome Sequencing (WGS) and Whole Exome Sequencing (WES) and is 20 times faster than the traditional GATK approach. Fast, integrated, easy to use, and economic are MegaBOLT’s most prominent features. It resolves the four major difficult problems in bioinformatics computing: slow analysis speed, complicated scheduling, difficult to use, and high-priced computing.