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MicroSEQ® Microbial Identification


Analysis of 16S rRNA gene or D2 regions of 28S large subunit (LSU) is important for the phylogenetic classification of known and novel microbial genera and species. MicroSEQ® system based on the sequencing of 16S rRNA and LSU-D2 is supported by the pre-designed kits and library databases for fast and accurate microbial identification which could not be affected by the culture conditions and growth environments of bacteria. It is particularly effective for the detection of parasites and bacteria that are difficult to grow in artificial culture medium. We offer MicroSEQ® microbial identification service for the identification and characterization of bacteria, mycoplasma, fungi, yeast, and algae.

Our Advantages:
  • Efficient workflow and fast turnaround time.
  • Extensive experience in handling various samples.
  • Our specialists work closely with you to determine the best experimental strategies.
  • Time-saving and cost-efficient as bacterial-culture and DNA-preparation steps are not required.
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Introduction to our MicroSEQ® microbial identification platform

Ribosomal RNA (rRNA) sequences have been reported to have the highest accuracy for microbial identification and stratification. Our MicroSEQ® platform from Applied Biosystems based on 16S rRNA (for bacteria) and LSU-D2 region (for fungi) sequencing provides a highly accurate and fast tool for microbial identification. The success rate of microbial identification down to genus or species level is above 99%. Our microbial identification service is suitable for fast screening of even the most difficult samples.

The microbial identification utilizing MicroSEQ® system is much faster and more reliable than currently used phenotypic methods. 16S rRNA gene and LSU-D2 region sequence analysis can be used to identify poorly described, rarely isolated, or phenotypic variant strains, as well as routinely used for identification of mycobacteria. What’s more, this method can help you discover and recognize the novel pathogens and noncultured bacteria. Therefore, our MicroSEQ® platform has been applied to solve a range of microbial identification tasks like routine QC microbiology for pharmaceutical companies, biotech companies, medical devices companies, public health laboratories, government agencies, etc.

Microbial identification service workflow

Sample Requirement

Sampling kits: We provide a range of microbial sampling kits for clients, including MicroCollect™ oral sample microbial collection products and MicroCollect™ stool sample collection products.

Deliverables: The experimental report includes information on experimental methods, PCR conditions, gel electropherogram, phylogenetic tree, distance matrix, genus and species level identification with top ten matches and DNA consensus sequence.

Reference

  1. Clarridge J E. Impact of 16S rRNA gene sequence analysis for identification of bacteria on clinical microbiology and infectious disease. Clinical microbiology reviews, 2004, 17(4): 840-862.

Areas of Interest

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