Evidence map›Paper›PMID 34059668›Full record

ArticleNature communications2021

Design of synthetic human gut microbiome assembly and butyrate production.

Ryan L Clark, Bryce M Connors, David M Stevenson, Susan E Hromada, Joshua J Hamilton, Daniel Amador-Noguez, Ophelia S Venturelli

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 129 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
129citing papers in PubMed, 1 pooled it
11.5field-weighted citation impact, top 1% 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

129 citing papers in PubMed, 1 synthesis or guideline pooled it, 190 citations in OpenAlex.

  1. Pooled it
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  19. Physics-constrained neural ordinary differential equation models to discover and predict microbial community dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  20. Learning functional groups in complex microbiomes.bioRxiv : the preprint server for biology · 2026
    Article

69 more citing papers are in PubMed but not listed here.

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

7 authors at 1 institution in 1 country.

Ryan L ClarkDepartment of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA.ORCID http://orcid.org/0000-0001-7865-2496
Bryce M ConnorsDepartment of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA.
David M StevensonDepartment of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA.
Susan E HromadaDepartment of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA.ORCID http://orcid.org/0000-0003-1521-1364
Joshua J HamiltonDepartment of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA.
Daniel Amador-NoguezDepartment of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA.ORCID http://orcid.org/0000-0002-3568-3070
Ophelia S VenturelliDepartment of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA. venturelli@wisc.edu.ORCID http://orcid.org/0000-0003-2200-1963
University of Wisconsin–Madison · US

Funding

BIOTECHNOLOGY TRAINING PROGRAMT32GM008349 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI FOX, BRIAN G · 1989 to 2019
$22.5M
Institutional Training in the Genomic SciencesT32HG002760 · NHGRI · UNIVERSITY OF WISCONSIN-MADISON · PI Qiongshi Lu · 2003 to 2026
$17.7M
Elucidating the molecular and ecological design principles of stability and assembly of the human gut microbiotaR35GM124774 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI Ophelia Venturelli · 2017 to 2026
$2.9M
Model-guided design of next-generation bacterial therapeutics to treat cardiovascular diseaseR01EB030340 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI REY, FEDERICO E, ROMERO, PHILIP ANTHONY · 2020 to 2023
$2.8M
NHGRI NIH HHS T32 HG002760NIBIB NIH HHS R01 EB030340NIGMS NIH HHS R35 GM124774NIGMS NIH HHS T32 GM008349
6 · The paper itself

Abstract

The capability to design microbiomes with predictable functions would enable new technologies for applications in health, agriculture, and bioprocessing. Towards this goal, we develop a model-guided approach to design synthetic human gut microbiomes for production of the health-relevant metabolite butyrate. Our data-driven model quantifies microbial interactions impacting growth and butyrate production separately, providing key insights into ecological mechanisms driving butyrate production. We use our model to explore a vast community design space using a design-test-learn cycle to identify high butyrate-producing communities. Our model can accurately predict community assembly and butyrate production across a wide range of species richness. Guided by the model, we identify constraints on butyrate production by high species richness and key molecular factors driving butyrate production, including hydrogen sulfide, environmental pH, and resource competition. In sum, our model-guided approach provides a flexible and generalizable framework for understanding and accurately predicting community assembly and metabolic functions.

Indexed as

AnaerobiosisBacteriaBacteriological TechniquesButyratesComputational BiologyDNA, BacterialGastrointestinal MicrobiomeGenome, BacterialHumansHydrogen-Ion ConcentrationHydrogen SulfideIndustrial MicrobiologyMetabolic EngineeringSequence Analysis, DNAButyratesDNA, BacterialHydrogen Sulfide

Identifiers

PMID34059668
PMCPMC8166853
OpenAlexW3164037342

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.