ZymoBIOMICS Gut Microbiome Standard


Cat #NameSize
D6331ZymoBIOMICS Gut Microbiome Standard10 preps

The ZymoBIOMICS Gut Microbiome Standard is an accurately quantified microbial community mimicking the human gut microbiome. The challenges it presents to microbiomics profiling allows researchers to validate protocols and fine-tune them for gut microbiome research and act as a positive control for sample processing.


  • True to Life: comprised of 21 different strains to mimic the human gut microbiome.
  • Accurate Composition: allows for benchmarking and validation of NGS microbiome workflows.
  • Cross Kingdom Representation: includes Bacteria, Fungi, and Archaea.
Technical Specifications
BiosafetyBSL 1. Microbes have been fully inactivated.
Impurity Level< 0.01% foreign microbial DNA
Reference Genomes16S&18S rRNA genes
Relative-abundance Deviation<15%
Storage Solution2X DNA/RNA Shield (Cat. No. R1200-125).
Total Cell Concentration~3.94 x 109 cells/ml

product faq

Q1: Should I use D6300 Microbial Community Standard or D6331 Gut Microbiome Standard?

For users that are setting up a new microbiomics workflow, we recommend starting with the D6300 Microbial Community Standard. The lower complexity of the standard will enable the user to more easily detect existing biases in the workflow (i.e. lysis during DNA extraction). Users who have validated using the D6300 already may use the D6331 to then fine-tune their workflows for gut samples.


  • Alexander Mahnert

    Diagnostic & Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz

    Jun 16 2021

    5 review stars

    Really helpful for daily quality control of sequencing runs.

    Very easy to use, quick response from assistants and fair pricing.

    Application Area: NGS quality control


    Andrew Prior


    Mar 16 2021

    5 review stars

    Ideal for troubleshooting and sanity checks.

    Very useful for troubleshooting different steps when setting up our shotgun metagenomic pipeline.

    Application Area: Shotgun metagenomics