Evidence map›Paper›PMID 28189782›Full record

ArticleJournal of microbiological methods2017

A real-time PCR assay for accurate quantification of the individual members of the Altered Schaedler Flora microbiota in gnotobiotic mice.

João Carlos Gomes-Neto, Sara Mantz, Kyler Held, Rohita Sinha, Rafael R Segura Munoz, Robert Schmaltz, Andrew K Benson, Jens Walter, Amanda E Ramer-Tait

Abstract read
In one paragraph

Article in Journal of microbiological methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A defined microbiota mouse model forFrontiers in microbiology · 2026
    Article
  5. Restoring low-fiber diets-inducedCurrent research in food science · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Sterility testing of germ-free mouse colonies.Frontiers in immunology · 2023
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Modulation of Gut Microbiota byFoods (Basel, Switzerland) · 2021
    Article
  19. 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

9 authors.

João Carlos Gomes-NetoDepartment of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, NE, USA.
Sara MantzDepartment of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, NE, USA.
Kyler HeldDepartment of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, NE, USA.
Rohita SinhaDepartment of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, NE, USA.
Rafael R Segura MunozDepartment of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, NE, USA.
Robert SchmaltzDepartment of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, NE, USA.
Andrew K BensonDepartment of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, NE, USA.
Jens WalterDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada; Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada.
Amanda E Ramer-TaitDepartment of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, NE, USA. Electronic address: aramer-tait2@unl.edu.

Funding

The role of stress in the fetal origin of obesity and metabolic dysfunctionP20GM104320 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI ZEMPLENI, JANOS · 2014 to 2024
$24.9M
NIGMS NIH HHS P20 GM104320
6 · The paper itself

Abstract

Changes in the gastrointestinal microbial community are frequently associated with chronic diseases such as Inflammatory Bowel Diseases. However, understanding the relationship of any individual taxon within the community to host physiology is made complex due to the diversity and individuality of the gut microbiota. Defined microbial communities such as the Altered Schaedler Flora (ASF) help alleviate the challenges of a diverse microbiota by allowing one to interrogate the relationship between individual bacterial species and host responses. An important aspect of studying these relationships with defined microbial communities is the ability to measure the population abundance and dynamics of each member. Herein, we describe the development of an improved ASF species-specific and sensitive real-time quantitative polymerase chain reaction (qPCR) for use with SYBR Green chemistry to accurately assess individual ASF member abundance. This approach targets hypervariable regions V1 through V3 of the 16S rRNA gene of each ASF taxon to enhance assay specificity. We demonstrate the reproducibility, sensitivity and application of this new method by quantifying each ASF bacterium in two inbred mouse lines. We also used it to assess changes in ASF member abundance before and after acute antibiotic perturbation of the community as well as in mice fed two different diets. Additionally, we describe a nested PCR assay for the detection of lowly abundant ASF members. Altogether, this improved qPCR method will facilitate gnotobiotic research involving the ASF community by allowing for reproducible quantification of its members under various physiological conditions.

Indexed as

Germ-Free LifeAnimalsAnti-Bacterial AgentsBacteriaCecumColony Count, MicrobialDietDNA, BacterialFecesFemaleGastrointestinal MicrobiomeGastrointestinal TractGenes, BacterialHost-Pathogen InteractionsMaleMiceAnti-Bacterial AgentsDNA, BacterialRNA, Ribosomal, 16SAltered Schaedler FloraAntibioticsDietGut microbiotaMiceqPCR

Identifiers

PMID28189782
PMCPMC5365401

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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.