Evidence map›Paper›PMID 34749649›Full record

ArticleBMC microbiology2021

Metaproteomics reveals insights into microbial structure, interactions, and dynamic regulation in defined communities as they respond to environmental disturbance.

Him K Shrestha, Manasa R Appidi, Manuel I Villalobos Solis, Jia Wang, Dana L Carper, Leah Burdick, Dale A Pelletier, Mitchel J Doktycz, Robert L Hettich, Paul E Abraham

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 39 citations in OpenAlex.

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  11. SEMQuant: Extending Sipros-Ensemble with Match-Between-Runs for Comprehensive Quantitative Metaproteomics.Bioinformatics research and applications : ... international symposium, ISBRA ... proceedings. ISBRA (Conference) · 2024
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  15. GroEL-Proteotyping of Bacterial Communities Using Tandem Mass Spectrometry.International journal of molecular sciences · 2023
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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 3 institutions in 1 country.

Him K Shrestha *Biosciences Division, Oak Ridge National Laboratory, 37831, Oak Ridge, Tennessee, United States.
Manasa R Appidi *Biosciences Division, Oak Ridge National Laboratory, 37831, Oak Ridge, Tennessee, United States.
Manuel I Villalobos SolisBiosciences Division, Oak Ridge National Laboratory, 37831, Oak Ridge, Tennessee, United States.
Jia WangBiosciences Division, Oak Ridge National Laboratory, 37831, Oak Ridge, Tennessee, United States.
Dana L CarperBiosciences Division, Oak Ridge National Laboratory, 37831, Oak Ridge, Tennessee, United States.
Leah BurdickBiosciences Division, Oak Ridge National Laboratory, 37831, Oak Ridge, Tennessee, United States.
Dale A PelletierBiosciences Division, Oak Ridge National Laboratory, 37831, Oak Ridge, Tennessee, United States.
Mitchel J DoktyczBiosciences Division, Oak Ridge National Laboratory, 37831, Oak Ridge, Tennessee, United States.
Robert L HettichBiosciences Division, Oak Ridge National Laboratory, 37831, Oak Ridge, Tennessee, United States.
Paul E AbrahamBiosciences Division, Oak Ridge National Laboratory, 37831, Oak Ridge, Tennessee, United States. abrahampe@ornl.gov.
Oak Ridge National Laboratory · USKnoxville College · USUniversity of Tennessee at Knoxville · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicrobe-microbe interactions between members of the plant rhizosphere are important but remain poorly understood. A more comprehensive understanding of the molecular mechanisms used by microbes to cooperate, compete, and persist has been challenging because of the complexity of natural ecosystems and the limited control over environmental factors. One strategy to address this challenge relies on studying complexity in a progressive manner, by first building a detailed understanding of relatively simple subsets of the community and then achieving high predictive power through combining different building blocks (e.g., hosts, community members) for different environments. Herein, we coupled this reductionist approach with high-resolution mass spectrometry-based metaproteomics to study molecular mechanisms driving community assembly, adaptation, and functionality for a defined community of ten taxonomically diverse bacterial members of Populus deltoides rhizosphere co-cultured either in a complex or defined medium.

resultsMetaproteomics showed this defined community assembled into distinct microbiomes based on growth media that eventually exhibit composition and functional stability over time. The community grown in two different media showed variation in composition, yet both were dominated by only a few microbial strains. Proteome-wide interrogation provided detailed insights into the functional behavior of each dominant member as they adjust to changing community compositions and environments. The emergence and persistence of select microbes in these communities were driven by specialization in strategies including motility, antibiotic production, altered metabolism, and dormancy. Protein-level interrogation identified post-translational modifications that provided additional insights into regulatory mechanisms influencing microbial adaptation in the changing environments.

conclusionsThis study provides high-resolution proteome-level insights into our understanding of microbe-microbe interactions and highlights specialized biological processes carried out by specific members of assembled microbiomes to compete and persist in changing environmental conditions. Emergent properties observed in these lower complexity communities can then be re-evaluated as more complex systems are studied and, when a particular property becomes less relevant, higher-order interactions can be identified.

Indexed as

Soil MicrobiologyBacteriaBacterial ProteinsMass SpectrometryMicrobiotaPlant RootsPopulusRhizosphereBacterial ProteinsDefined communityMetaproteomicsMicrobial consortiaPTMsReductionist approachRhizospheric microbiome

Identifiers

PMID34749649
PMCPMC8574000
OpenAlexW3212313637

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.