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Quantifying variation across 16S rRNA gene sequencing runs in human microbiome studies

Applied Microbiology and Biotechnology, ISSN: 1432-0614, Vol: 108, Issue: 1, Page: 367
2024
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  • 5
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Metric Options:   Counts1 Year3 Year

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  • Captures
    5
  • Mentions
    1
    • Blog Mentions
      1
      • Blog
        1

Article Description

Abstract: Recent microbiome research has incorporated a higher number of samples through more participants in a study, longitudinal studies, and metanalysis between studies. Physical limitations in a sequencing machine can result in samples spread across sequencing runs. Here we present the results of sequencing nearly 1000 16S rRNA gene sequences in fecal (stabilized and swab) and oral (swab) samples from multiple human microbiome studies and positive controls that were conducted with identical standard operating procedures. Sequencing was performed in the same center across 18 different runs. The simplified mock community showed limitations in accuracy, while precision (e.g., technical variation) was robust for the mock community and actual human positive control samples. Technical variation was the lowest for stabilized fecal samples, followed by fecal swab samples, and then oral swab samples. The order of technical variation stability was inverse of DNA concentrations (e.g., highest in stabilized fecal samples), highlighting the importance of DNA concentration in reproducibility and urging caution when analyzing low biomass samples. Coefficients of variation at the genus level also followed the same trend for lower variation with higher DNA concentrations. Technical variation across both sample types and the two human sampling locations was significantly less than the observed biological variation. Overall, this research providing comparisons between technical and biological variation, highlights the importance of using positive controls, and provides semi-quantified data to better understand variation introduced by sequencing runs. Key points: • Mock community and positive control accuracy were lower than precision. • Samples with lower DNA concentration had increased technical variation across sequencing runs. • Biological variation was significantly higher than technical variation due to sequencing runs.

Bibliographic Details

Andrew J. Hoisington; Christopher E. Stamper; Christopher A. Lowry; Lisa A. Brenner; Joseph C. Ellis

Springer Science and Business Media LLC

Biochemistry, Genetics and Molecular Biology; Immunology and Microbiology

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