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Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
Published on: October 15, 2019
Genomic Methods and Microbiological Technologies for Profiling Novel and Extreme Environments for the Extreme
Scott Tighe1, Ebrahim Afshinnekoo2, Tara M Rock3
1Advanced Genomics Lab, University of Vermont Cancer Center, University of Vermont, Burlington, Vermont, USA.
The Extreme Microbiome Project (XMP) uses advanced sequencing to discover novel microbes and genes in extreme environments. This research refines techniques for analyzing unique ecosystems and makes data publicly available.
Area of Science:
- Microbiology
- Genomics
- Environmental Science
Background:
- The Extreme Microbiome Project (XMP) by the Association of Biomolecular Resource Facilities Metagenomics Research Group (ABRF MGRG) investigates unique and extreme environments.
- Characterizing microbial life in these settings is crucial for understanding biodiversity and adaptation.
Purpose of the Study:
- To develop and refine techniques for detecting and characterizing novel microbes.
- To evaluate nucleic acid methods for extremophilic samples.
- To identify and implement appropriate bioinformatics pipelines for complex metagenomic data.
Main Methods:
- Whole genome shotgun sequencing of samples from diverse extreme environments.
- Development of a novel multienzyme nucleic acid extraction protocol (Polyzyme/MetaPolyZyme).
- Characterization of microbial and metagenomic diversity using various biomolecular techniques.
Main Results:
- Ongoing characterization of global extreme sample sites including unique locations like Lake Hillier, the "Door to Hell" crater, and Antarctic biofilms.
- Presentation of data from the novel MetaPolyZyme extraction protocol.
- Identification of new species, genes, and gene clusters from these extreme environments.
Conclusions:
- The XMP is advancing the understanding of microbial life in extreme environments through innovative techniques.
- The project aims to contribute significant, publicly accessible data on microbial diversity and function.
- Refined methodologies will enhance future exploration of Earth's most challenging habitats.
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