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Pyrosequencing for Microbial Identification and Characterization
Published on: August 22, 2013
Short pyrosequencing reads suffice for accurate microbial community analysis
Zongzhi Liu1, Catherine Lozupone, Micah Hamady
1Department of Chemistry and Biochemistry, UCB 215, University of Colorado at Boulder, Boulder, CO 80309-0215, USA.
Nucleic Acids Research
|September 21, 2007
Summary
Pyrosequencing enables rapid microbial community analysis. This study shows that focusing on more short 16S ribosomal RNA (rRNA) sequences, rather than fewer long ones, yields robust community comparisons using UniFrac, even with varied primer choices.
Area of Science:
- Microbial Ecology
- Bioinformatics
- Molecular Biology
Background:
- Pyrosequencing offers faster, cheaper microbial community analysis via 16S ribosomal RNA (rRNA) sequencing.
- Comparing studies using different rRNA gene regions or primers can be challenging due to potential variations in conclusions.
Purpose of the Study:
- To evaluate the impact of primer choice and amplicon region on microbial community analysis using pyrosequencing.
- To determine if UniFrac, a method for comparing microbial communities, is robust to variations in sequencing data.
Main Methods:
- Utilized over 200 global environmental samples for analysis.
- Simulated different amplicon lengths and primer sets, including short reads (100-250 bases) typical of pyrosequencing.
- Applied the UniFrac method to compare microbial community structures.
Main Results:
- Primer choice did not cause erroneous clustering of studies unrelated to their environment.
- UniFrac analysis demonstrated robustness across different amplicon regions and sequence lengths.
- Optimizing sequencing effort towards generating more short sequences is more effective than fewer long sequences.
Conclusions:
- Pyrosequencing, when primers are selected carefully, allows for reliable microbial community comparisons.
- UniFrac is a robust tool for comparing microbial communities, even with short sequence reads and variable amplicon regions.
- The findings support prioritizing sequencing depth with shorter reads for comprehensive microbial community characterization.
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