Evidence map›Paper›PMID 40389632›Full record

ReviewNature protocols2025

Absolute quantification of prokaryotes in the microbiome by 16S rRNA qPCR or ddPCR.

Boryana Doyle, Gabriella Z M Reynolds, Mai Dvorak, Dylan G Maghini, Aravind Natarajan, Ami S Bhatt

Abstract readReview
In one paragraph

Review in Nature protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  16. Emerging technologies and current challenges in intratumoral microbiota research.Frontiers in cellular and infection microbiology · 2025
    Review
  17. Review
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

6 authors.

Boryana Doyle *School of Medicine, Stanford University, Stanford, CA, USA.ORCID 0000-0002-3209-5708
Gabriella Z M Reynolds *Department of Medicine (Hematology, Blood and Marrow Transplantation), Stanford University, Stanford, CA, USA.ORCID 0000-0002-8433-4264
Mai Dvorak *Department of Biology, Stanford University, Stanford, CA, USA.ORCID 0000-0002-8481-7063
Dylan G MaghiniDepartment of Medicine (Hematology, Blood and Marrow Transplantation), Stanford University, Stanford, CA, USA.ORCID 0000-0001-9542-492X
Aravind NatarajanDepartment of Medicine (Hematology, Blood and Marrow Transplantation), Stanford University, Stanford, CA, USA.ORCID 0000-0003-2180-7842
Ami S BhattDepartment of Medicine (Hematology, Blood and Marrow Transplantation), Stanford University, Stanford, CA, USA. asbhatt@stanford.edu.ORCID 0000-0001-8099-2975

Funding

Supplement to Enhance Wellness and Resiliency in the Graduate EnvironmentT32GM007276 · NIGMS · STANFORD UNIVERSITY · PI MORRISON, ASHBY J. · 1985 to 2023
$32.9M
Research Mentoring and Building Capacity of underrepresented Minority Research Scientists in India.D43TW010540 · FIC · YALE UNIVERSITY · PI MICHELE BARRY, Eva Harris · 2017 to 2026
$15.5M
Culture-free pathogen tracking in hospitalized patientsR01AI143757 · NIAID · STANFORD UNIVERSITY · PI BHATT, AMI SIDDHARTH · 2020 to 2023
$3.0M
Emerging novel mechanisms of antibiotic resistance in the prevalent foodborne pathogen, SalmonellaR01AI148623 · NIAID · STANFORD UNIVERSITY · PI BHATT, AMI SIDDHARTH · 2019 to 2023
$2.0M
Biosorter Pro large particle flow cytometer for organismal and large cell sortingS10OD025004 · OD · STANFORD UNIVERSITY · PI SHEN, KANG · 2018 to 2018
$594k
ImageXpress Micro (IXM) Confocal High-content Imaging SystemS10OD026899 · OD · STANFORD UNIVERSITY · PI SOLOW-CORDERO, DAVID EDWARD · 2019 to 2019
$541k
Upgraded High-Content and High-Throughput siRNA Screening SystemS10RR026338 · NCRR · STANFORD UNIVERSITY · PI SOLOW-CORDERO, DAVID EDWARD · 2010 to 2010
$498k
INSTRUMENTATION FOR GENETIC AND CHEMICAL SCREENING: BIOCHEMISTRYS10RR019513 · NCRR · STANFORD UNIVERSITY · PI MEYER, TOBIAS · 2004 to 2004
$488k
FIC NIH HHS D43 TW010540NCRR NIH HHS S10 RR019513NCRR NIH HHS S10 RR026338NIAID NIH HHS R01 AI143757NIAID NIH HHS R01 AI148623NIGMS NIH HHS T32 GM007276NIH HHS S10 OD025004NIH HHS S10 OD026899U.S. Department of Health & Human Services | National Institutes of Health (NIH) D43TW010540U.S. Department of Health & Human Services | National Institutes of Health (NIH) T32GM007276
6 · The paper itself

Abstract

Measurements of prokaryotic absolute abundance can provide important insights into human gut microbiome biology and correct misinterpretations of relative abundance data. Despite the existence of several relatively well-established methods for making these measurements, most microbiome studies do not report absolute abundance. To enable researchers equipped with standard molecular biology capabilities to incorporate absolute quantification into their microbiome studies, we present a detailed, step-by-step protocol for rigorous and reproducible quantification of prokaryotic concentration in stool samples. We include methods for measuring stool sample moisture content, quantifying the concentration of the 16S rRNA prokaryotic marker gene by qPCR or digital droplet PCR (ddPCR) and analyzing the resulting data. We also highlight and provide strategies to overcome common pitfalls of the quantification method, such as 16S rRNA gene contamination. The final output of this approach is 16S rRNA copies per wet or dry gram of stool. In cases where samples have matched metagenomic sequencing information, data can be converted into absolute concentration of prokaryotes and taxon-specific absolute concentrations. To enable researchers to choose the appropriate method for their specific applications, we also compare and contrast our qPCR and ddPCR methods. In 4 days, ~80 samples can be taken from frozen stool to absolute concentration by using qPCR or ddPCR without the need for resequencing. Overall, this protocol provides a sensitive and straightforward way to measure the absolute concentration of prokaryotes in human gut microbiome samples stored with or without preservative.

Indexed as

BacteriaGastrointestinal MicrobiomeMicrobiotaPolymerase Chain ReactionProkaryotic CellsReal-Time Polymerase Chain ReactionRNA, Ribosomal, 16SFecesHumansRNA, Ribosomal, 16S

Identifiers

PMID40389632
PMCPMC13547822

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.