Reliability of stool microbiome methods for DNA yields and sequencing among infants and young children

Katherine Antosca, Anne G. Hoen, Thomas Palys, Margaret Hilliard, Hilary G. Morrison, Modupe Coker, Juliette Madan, Margaret R. Karagas

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


With the emergence of large-scale epidemiologic human microbiome studies, there is a need to understand the reproducibility of microbial DNA sequencing and the impact of specimen collection and processing methods on measures of microbial community composition and structure, with reproducibility studies in infants and young children particularly lacking. Here, we examined batch-to-batch variability and reliability of collection, handling, and processing protocols, testing replicate stool samples from infants and young children using Illumina MiSeq sequencing of the bacterial 16S rRNA gene V4-V5 hypervariable region, evaluating 33 conditions with different protocols and extraction methods. We detected no evidence of batch effects in replicate DNA samples or extractions from the same stool sample. Variability in DNA yield and alpha diversity was observed between the different collection, handling, and processing protocols. However, across all protocols, subject variability was the dominant contributor to microbiome structure, with comparatively little impact of the protocol used. While collection method and DNA extraction kit may affect DNA yield, and correspondingly alpha diversity, our findings suggest that characterization of the structure and composition of the fecal microbiome of infants and young children are reliably measurable by standardized collection, handling, and processing protocols and DNA extraction methods within an individual longitudinal study.

Original languageEnglish (US)
Article numbere1018
Issue number5
StatePublished - May 1 2020
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Microbiology


  • cohort studies
  • gut microbiome
  • infants
  • reproducibility

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