Evidence map›Paper›PMID 39244633›Full record

ArticleMicrobiome2024

Highly accurate and sensitive absolute quantification of bacterial strains in human fecal samples.

Fuyong Li, Junhong Liu, María X Maldonado-Gómez, Steven A Frese, Michael G Gänzle, Jens Walter

Abstract read
In one paragraph

Article in Microbiome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  14. Single-cell quantification of the microbiota by flow cytometry: MicFLY.bioRxiv : the preprint server for biology · 2025
    Article
  15. Article
  16. Cooked Bean (Nutrients · 2025
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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.

Fuyong LiDepartment of Animal Science and Technology, College of Animal Sciences, Zhejiang University, Hangzhou, 310058, China. fuyong@zju.edu.cn.
Junhong LiuDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, T6G 2E1, Canada.
María X Maldonado-GómezOne Bio Inc., Sacramento, CA, 95833, USA.
Steven A FreseDepartment of Nutrition, University of Nevada, Reno, NV, 89557, USA.
Michael G GänzleDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, T6G 2E1, Canada.
Jens WalterDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, T6G 2E1, Canada. jenswalter@ucc.ie.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNext-generation sequencing (NGS) approaches have revolutionized gut microbiome research and can provide strain-level resolution, but these techniques have limitations in that they are only semi-quantitative, suffer from high detection limits, and generate data that is compositional. The present study aimed to systematically compare quantitative PCR (qPCR) and droplet digital PCR (ddPCR) for the absolute quantification of Limosilactobacillus reuteri strains in human fecal samples and to develop an optimized protocol for the absolute quantification of bacterial strains in fecal samples.

resultsUsing strain-specific PCR primers for L. reuteri 17938, ddPCR showed slightly better reproducibility, but qPCR was almost as reproducible and showed comparable sensitivity (limit of detection [LOD] around 10

conclusionsBased on our analyses, we consider qPCR with kit-based DNA extraction approaches the best approach to accurately quantify gut bacteria at the strain level in fecal samples. The provided step-by-step protocol will allow scientists to design highly sensitive strain-specific PCR systems for the accurate quantification of bacterial strains of not only L. reuteri but also other bacterial taxa in a broad range of applications and sample types. Video Abstract.

Indexed as

FecesGastrointestinal MicrobiomeLimosilactobacillus reuteriBacteriaDNA, BacterialHigh-Throughput Nucleotide SequencingHumansLimit of DetectionReal-Time Polymerase Chain ReactionReproducibility of ResultsSensitivity and SpecificityDNA, BacterialddPCRDNA extractionLactobacillusLimosilactobacillus reuteriqPCRStrain-specific primers

Identifiers

PMID39244633
PMCPMC11380787

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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.