Key Features of MGI MMSP:
- Versatile Applications: Designed around the popular variable regions of rDNA, MGI MMSP is compatible with a wide range of sample types to meet diverse demands across various applications, including human, industrial, agricultural, and environmental microbiome research.
- Comprehensive Solution: MGI MMSP integrates nucleic acid extraction, library preparation, sequencing, and analysis into a single, streamlined workflow, simplifying the research process for scientists.
- Flexibility: The MGI MMSP can be operated on small or medium-sized sequencing platforms. With the DNBSEQ-G99, researchers can achieve ultra-fast PE300 sequencing. Additionally, the DNBSEQ-E25 allows for portable sequencing, offering ease of use in challenging environments—even on a bumpy boat.
Performance References
– Sample type 1: Zymo standard
The following two sets of data were obtained by sequencing and analysing the Zymo standard with 16SV3V4 and 16SV4 to evaluate the species detection rate, species abundance accuracy, and repeatability. As shown in Figures 1 and 2, all expected species were detected, the measured abundance was close to the theoretical abundance, and the repeatability between and within batches was good.
Figure 1: Stacked bar chart of bacterial abundance in Zymo standard (DNBSEQ-G99_16SV3V4)
Figure 2: Stacked bar chart of bacterial abundance in Zymo standard (DNBSEQ-E25_16SV4)
– Sample type 2: Human faces
The following data were obtained by sequencing and analysing human faeces with 16SV3V4 and ITS2. As shown in Figures 3 and 4, Prevotella, Alloprevotella, Lachnospira, Saccharomyces, Candida, and Nigrospora, which are common bacterial and fungal communities in the gut, were identified respectively.
Figure 3: Stacked bar chart of bacterial abundance in faecal sample (DNBSEQ-G99_16SV3V4)
Figure 4: Stacked bar chart of bacterial abundance in fecal sample (DNBSEQ-G99_ITS2)
– Sample type 3: Fermented grain
The following data were obtained by sequencing and analysing the fermented grain with 16SV4 and ITS1. As shown in Figures 5 and 6, Weissella, Lactobacillus, Oceanobacillus, Pediococcus, Mucor, Paecilomyces, and Aspergillus, which are common bacterial and fungal communities in fermented grain, were identified respectively.
Figure 5: Stacked bar chart of bacterial abundance in fermented grain (DNBSEQ-E25_16SV4)
Figure 6: Stacked bar chart of bacterial abundance in fermented grain (DNBSEQ-G99_ITS1)
– Sample type 4: Leaf surface
The following data were obtained by sequencing and analysing the leaf surface washing solution with ITS1. As shown in Figure 7, Cladosporium, Nigrospora, Curvularia, Elsinoe, and Lachnum, which are common fungal communities causing leaf diseases, were identified.
Figure 7: Stacked bar chart of bacterial abundance on leaf surface (DNBSEQ-G99_ITS1)
– Sample type 5: Deep sea sediment in the South China Sea
The following data were obtained by 16SV4 rDNA sequencing the deep sea sediment sample in the South China Sea using DNBSEQ-E25 on a boat. As shown in Figure 8, uncultured bacteria and archaea, such as green curved bacteria, acid-rod bacteria, and deformed bacteria, were detected in the sample. Functional gene annotation was also performed, providing an important reference for a deeper understanding of the biogeochemical mechanisms of important microbial groups in the deep sea.
Figure 8: Stacked chart of species distribution
It has been verified that MGI Microbiome Metabarcoding Sequencing Package works for various sample types, covering a wide range of application scenarios in microbiology, and has excellent detection performance and powerful analysis functions. It can be an ideal tool for microbiome research.
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