Evidence map›Paper›PMID 33995895›Full record

ArticleComputational and structural biotechnology journal2021

Formation, characterization and modeling of emergent synthetic microbial communities.

Jia Wang, Dana L Carper, Leah H Burdick, Him K Shrestha, Manasa R Appidi, Paul E Abraham, Collin M Timm, Robert L Hettich, Dale A Pelletier, Mitchel J Doktycz

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 21 citations in OpenAlex.

  1. Genomic signatures inmSystems · 2026
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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

10 authors at 1 institution in 1 country.

Jia WangBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Dana L CarperBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Leah H BurdickBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Him K ShresthaBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Manasa R AppidiBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Paul E AbrahamBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Collin M TimmBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Robert L HettichBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Dale A PelletierBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Mitchel J DoktyczBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Oak Ridge National Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial communities colonize plant tissues and contribute to host function. How these communities form and how individual members contribute to shaping the microbial community are not well understood. Synthetic microbial communities, where defined individual isolates are combined, can serve as valuable model systems for uncovering the organizational principles of communities. Using genome-defined organisms, systematic analysis by computationally-based network reconstruction can lead to mechanistic insights and the metabolic interactions between species. In this study, 10 bacterial strains isolated from the

Indexed as

Flux balance analysisGenome-scale modelMetabolic interactionMetaproteomicsMicrobial communityRhizosphere bacteria

Identifiers

PMID33995895
PMCPMC8079826
OpenAlexW3156293794

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.