Evidence map›Paper›PMID 37106038›Full record

ArticleNature biotechnology2024

Quantifying bias introduced by sample collection in relative and absolute microbiome measurements.

Dylan G Maghini, Mai Dvorak, Alex Dahlen, Morgan Roos, Boryana Doyle, Scott Kuersten, Ami S Bhatt

Erratum issuedAbstract read
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In one paragraph

Article in Nature biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 60 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 1 pooled it
–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

60 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  19. Pharmacomicrobiomics.Clinical pharmacology and therapeutics · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Dylan G Maghini *Department of Genetics, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-9542-492X
Mai Dvorak *Department of Biology, Stanford University, Stanford, CA, USA.
Alex DahlenQuantitative Sciences Unit, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-7911-6203
Morgan RoosIllumina, Inc., Madison, WI, USA.ORCID http://orcid.org/0000-0003-0325-1334
Boryana DoyleSchool of Medicine, Stanford University, Stanford, CA, USA.
Scott KuerstenIllumina, Inc., Madison, WI, USA.
Ami S BhattDepartment of Genetics, Stanford University, Stanford, CA, USA. asbhatt@stanford.edu.ORCID http://orcid.org/0000-0001-8099-2975

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Melinda L. Telli · 2007 to 2026
$71.4M
Supplement to Enhance Wellness and Resiliency in the Graduate EnvironmentT32GM007276 · NIGMS · STANFORD UNIVERSITY · PI MORRISON, ASHBY J. · 1985 to 2023
$32.9M
Stanford University (SU) Lieberman FellowshipU.S. Department of Health & Human Services | National Institutes of Health (NIH) 1S10OD02014101U.S. Department of Health & Human Services | National Institutes of Health (NIH) P30CA124435U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01AI14375702U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01AI14862302U.S. Department of Health & Human Services | National Institutes of Health (NIH) T32GM007276
6 · The paper itself

Abstract

To gain insight into the accuracy of microbial measurements, it is important to evaluate sources of bias related to sample condition, preservative method and bioinformatic analyses. There is increasing evidence that measurement of the total count and concentration of microbes in the gut, or 'absolute abundance', provides a richer source of information than relative abundance and can correct some conclusions drawn from relative abundance data. However, little is known about how preservative choice can affect these measurements. In this study, we investigated how two common preservatives and short-term storage conditions impact relative and absolute microbial measurements. OMNIgene GUT OMR-200 yields lower metagenomic taxonomic variation between different storage temperatures, whereas Zymo DNA/RNA Shield yields lower metatranscriptomic taxonomic variation. Absolute abundance quantification reveals two different causes of variable Bacteroidetes:Firmicutes ratios across preservatives. Based on these results, we recommend OMNIgene GUT OMR-200 preservative for field studies and Zymo DNA/RNA Shield for metatranscriptomics studies, and we strongly encourage absolute quantification for microbial measurements.

Indexed as

MicrobiotaDNAFecesMetagenomeRNA, Ribosomal, 16SDNARNA, Ribosomal, 16S

Identifiers

What OpenQuestion holds

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Registered trials

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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.