Evidence map›Paper›PMID 34228723›Full record

ArticlePLoS computational biology2021

Measuring and mitigating PCR bias in microbiota datasets.

Justin D Silverman, Rachael J Bloom, Sharon Jiang, Heather K Durand, Eric Dallow, Sayan Mukherjee, Lawrence A David

Abstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

55 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. The Evolution of Bees: Insights from 'Omic Studies.Genome biology and evolution · 2026
    Review
  8. The longitudinal expression ofMicrobiology (Reading, England) · 2026
    Article
  9. Article
  10. PCR bias impacts microbiome ecological analyses.PLoS computational biology · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Observation Bias in Metabarcoding.Molecular ecology resources · 2025
    Article
  17. Article
  18. Review
  19. PCR Bias Impacts Microbiome Ecological Analyses.bioRxiv : the preprint server for biology · 2025
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Justin D SilvermanCollege of Information Science and Technology, Pennsylvania State University, State College, Pennsylvania, United States of America.ORCID 0000-0002-3063-2098
Rachael J BloomCenter for Genomics and Computational Biology, Duke University, Durham, North Carolina, United States of America.ORCID 0000-0002-8396-2939
Sharon JiangCenter for Genomics and Computational Biology, Duke University, Durham, North Carolina, United States of America.
Heather K DurandCenter for Genomics and Computational Biology, Duke University, Durham, North Carolina, United States of America.ORCID 0000-0003-4059-8484
Eric DallowCenter for Genomics and Computational Biology, Duke University, Durham, North Carolina, United States of America.
Sayan MukherjeeDepartments of Statistical Science, Mathematics, Computer Science, Biostatistics & Bioinformatics, Duke University, Durham, North Carolina, United States of America.ORCID 0000-0002-6715-3920
Lawrence A DavidCenter for Genomics and Computational Biology, Duke University, Durham, North Carolina, United States of America.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007171 · NIGMS · DUKE UNIVERSITY · PI KONTOS, CHRISTOPHER D · 1985 to 2021
$31.2M
Medical Scientist Training Program Training GrantT32GM145449 · NIGMS · DUKE UNIVERSITY · PI Christopher D Kontos · 2022 to 2026
$6.6M
Personalizing prebiotic therapies that target human gut microbiotaR01DK116187 · NIDDK · DUKE UNIVERSITY · PI Lawrence Anthony David · 2018 to 2026
$3.7M
NIDDK NIH HHS R01 DK116187NIGMS NIH HHS T32 GM007171NIGMS NIH HHS T32 GM145449
6 · The paper itself

Abstract

PCR amplification plays an integral role in the measurement of mixed microbial communities via high-throughput DNA sequencing of the 16S ribosomal RNA (rRNA) gene. Yet PCR is also known to introduce multiple forms of bias in 16S rRNA studies. Here we present a paired modeling and experimental approach to characterize and mitigate PCR NPM-bias (PCR bias from non-primer-mismatch sources) in microbiota surveys. We use experimental data from mock bacterial communities to validate our approach and human gut microbiota samples to characterize PCR NPM-bias under real-world conditions. Our results suggest that PCR NPM-bias can skew estimates of microbial relative abundances by a factor of 4 or more, but that this bias can be mitigated using log-ratio linear models.

Indexed as

BacteriaBiasDatabases, GeneticDNA, BacterialGastrointestinal MicrobiomeHumansPolymerase Chain ReactionDNA, Bacterial

Identifiers

PMID34228723
PMCPMC8284789

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.