Evidence map›Paper›PMID 35968975›Full record

ArticlemSystems2022

Resources to Facilitate Use of the Altered Schaedler Flora (ASF) Mouse Model to Study Microbiome Function.

Alexandra Proctor, Shadi Parvinroo, Tanner Richie, Xinglin Jia, Sonny T M Lee, Peter D Karp, Suzanne Paley, Aleksandar D Kostic, Joseph F Pierre, Michael J Wannemuehler and 1 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in mSystems, 2022. 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 33% of its field
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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. The OMMGut microbes · 2026
    Review
  2. Article
  3. Human microbiota-associated animal models: a review.Frontiers in cellular and infection microbiology · 2025
    Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 1 country.

Alexandra ProctorDepartment of Veterinary Microbiology, Iowa State Universitygrid.34421.30, Ames, Iowa, USA.
Shadi ParvinrooDepartment of Veterinary Microbiology, Iowa State Universitygrid.34421.30, Ames, Iowa, USA.
Tanner RichieDivision of Biology, Kansas State Universitygrid.36567.31, Manhattan Kansas, USA.
Xinglin JiaDepartment of Veterinary Microbiology, Iowa State Universitygrid.34421.30, Ames, Iowa, USA.
Sonny T M LeeDivision of Biology, Kansas State Universitygrid.36567.31, Manhattan Kansas, USA.ORCID 0000-0001-8073-989X
Peter D KarpBioinformatics Research Group, SRI Internationalgrid.98913.3a, Menlo Park, California, USA.
Suzanne PaleyBioinformatics Research Group, SRI Internationalgrid.98913.3a, Menlo Park, California, USA.ORCID 0000-0001-5763-8935
Aleksandar D KosticDepartment of Microbiology and Immunology, Joslin Diabetes Center, Harvard University, Cambridge Massachusetts, USA.
Joseph F PierreDepartment of Nutritional Sciences, University of Wisconsin-Madison, Madison Wisconsin, USA.
Michael J WannemuehlerDepartment of Veterinary Microbiology, Iowa State Universitygrid.34421.30, Ames, Iowa, USA.
Gregory J PhillipsDepartment of Veterinary Microbiology, Iowa State Universitygrid.34421.30, Ames, Iowa, USA.ORCID 0000-0002-0048-512X
Iowa State University · USKansas State University · USSRI International · USJoslin Diabetes Center · USUniversity of Wisconsin–Madison · US

Funding

The MetaCyc & BioCyc Pathway/Genome Databases (SRI Proposal ECU 14-630)R01GM080746 · NIGMS · SRI INTERNATIONAL · PI CASPI, RON, KARP, PETER D · 2007 to 2021
$15.6M
Highly simplified model of a mammalian intestinal communityR01GM099537 · NIGMS · IOWA STATE UNIVERSITY · PI PHILLIPS, JAMES GREGORY · 2013 to 2016
$1.0M
Microbiome Dynamics During Cancer ProgressionR03CA195305 · NCI · IOWA STATE UNIVERSITY · PI PHILLIPS, JAMES GREGORY · 2017 to 2018
$142k
NCI NIH HHS R03 CA195305NIGMS NIH HHS R01 GM080746NIGMS NIH HHS R01 GM099537
6 · The paper itself

Abstract

Animals colonized with a defined microbiota represent useful experimental systems to investigate microbiome function. The altered Schaedler flora (ASF) represents a consortium of eight murine bacterial species that have been used for more than 4 decades where the study of mice with a reduced microbiota is desired. In contrast to germ-free mice, or mice colonized with only one or two species, ASF mice show the normal gut structure and immune system development. To further expand the utility of the ASF, we have developed technical and bioinformatic resources to enable a systems-based analysis of microbiome function using this model. Here, we highlighted four distinct applications of these resources that enable and improve (i) measurements of the abundance of each ASF member by quantitative PCR; (ii) exploration and comparative analysis of ASF genomes and the metabolic pathways they encode that comprise the entire gut microbiome; (iii) global transcriptional profiling to identify genes whose expression responds to environmental changes within the gut; and (iv) discovery of genetic changes resulting from the evolutionary adaptation of the microbiota. These resources were designed to be accessible to a broad community of researchers that, in combination with conventionally-reared mice (i.e., with complex microbiome), should contribute to our understanding of microbiome structure and function.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaAnimalsBacteriaDisease Models, AnimalMammalsMicePolymerase Chain ReactionASFgnotobiotic micemicrobiome functionmicrobiota evolutionqPCRSchaedler

Identifiers

PMID35968975
PMCPMC9600240
OpenAlexW4291605648

What OpenQuestion holds

Textmetadata
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.