Human Microbiome Metagenomics Sequencing Package

To advance global human metagenomics research, MGI introduces the Human Microbiome Metagenomics Sequencing Package. This all-in-one solution covers the complete workflow from sample collection and nucleic acid extraction to library preparation, sequencing, and data analysis. Designed for high automation and flexible throughput, the package has been validated across a wide range of biological samples, making it an ideal tool for comprehensive human microbiome studies.

Product Components & Part Numbers

Item No. Product Name
900-000082-00T7RS Genetic Sequencer
900-000356-00SP-NE384RS Automated Nucleic Acid Extractor
940-001644-00MGIEasy Stool Collection Kit
940-001246-00MGIEasy Stool DNA (Meta) Extraction Kit V2.0 (384 RXN)
940-001194-00MGIEasy Fast FS DNA Library Prep Set V2.0 (96 RXN)
1000020570MGIEasy Dual Barcode Circularization Kit V1.0 (16 RXN)
940-000268-00T7RS High-throughput Sequencing Set V3.0 (FCL PE150)

Product Specification

Intended use Microbiome research
Sample type Stool
Max throughput T7: 220,000 samples/year; 232 samples/FC
T20×2RS: 450,000 samples/year; 1056 samples/FC
MGISEQ-2000: 15,000 samples/year; 64 samples/FC
Recommended data volume 6 Gb/samples
Compatible sequencer G400 / T7 / T20×2
Reads length PE150

System Parameters

Proven Performance

  • Validated on over 130,000 stool samples, showing excellent intra-platform reproducibility (gene >0.91, species >0.97) and strong consistency with other platforms (gene richness >0.99).

One-Stop Automated Workflow

  • Integrated with SP-NE384, SP-960, and Smart8, enabling automated sample transfer, extraction, normalization, pooling, and library prep to save hands-on labour.

Flexible Throughput Solutions

  • Supports medium and high-throughput metagenomics using G400, T7, and T20×2, offering adaptable and efficient workflows for diverse microbiome applications.

Cost-Effective Library Prep

  • Miniaturized 2-fold library prep on the SP-960 automation platform significantly reduces preparation costs without compromising data quality.

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