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Do-it-Yourself Mock Community Standard for Multi-Step Assessment of Microbiome Protocols
Joanna Colovas1, Ari Fina Bintarti2, Marco E Mechan Llontop1,3
1Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, Michigan.
Current Protocols
|September 6, 2022
Summary
Researchers developed DIY mock microbial communities as a cost-effective positive control for microbiome studies. These custom communities help validate nucleic acid extraction, amplification, and sequencing, ensuring reliable results in environmental and non-human microbiome research.
Area of Science:
- Microbiology
- Molecular Biology
- Bioinformatics
Background:
- Microbiome research relies on high-throughput sequencing (HTS) for analyzing diverse environments.
- Effective controls, like mock microbial communities, are crucial for validating HTS methods.
- Commercially available mock communities can be expensive and may not represent non-human microbiomes.
Purpose of the Study:
- To provide protocols for designing and constructing a do-it-yourself (DIY) mock microbial community.
- To establish a cost-effective and customizable positive control for microbiome studies.
- To ensure the accuracy and reliability of cultivation-independent microbiome analyses.
Main Methods:
- Strain identification and verification using Sanger sequencing.
- Creation of glycerol stocks for long-term cryostorage of microbial strains.
- Development of standard curves to quantify microbial cell concentrations (CFU/ml).
- Assembly of the mock community using calculated concentrations and standard curves.
- Assessment of strain viability and cryostorage methods.
Main Results:
- Detailed protocols for DIY mock community construction are presented.
- Methods for verifying strain identity and quantifying cell density are described.
- Guidance on assembling, storing, and interpreting results from DIY mock communities is provided.
Conclusions:
- DIY mock communities offer a customizable and economical alternative to commercial controls.
- These communities serve as essential positive controls for validating microbiome analysis workflows.
- DIY mock communities aid in assessing contamination and identifying protocol biases in HTS microbiome studies.

