ArticleCurrent opinion in biomedical engineering2021
Exploiting interbacterial antagonism for microbiome engineering.
Article in Current opinion in biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed.
- A composite medium enabling co-culture ofMethodsX · 2026Article
- Refactored genetic parts for modular assembly of the E. coli MccV type I secretion system used to screen class II microcin candidates from plant-associated bacteria.BMC biotechnology · 2026Article
- Bioremediation of Saline-Alkali Soil Using a Waste Biomass-Functional Microorganism Composite Amendment and Preliminary Multi-Crop Field Validation.Microorganisms · 2026Article
- Isolation and partial characterization of antimicrobial peptide-enriched fractions from Parabacteroides distasonis.Scientific reports · 2025Article
- Global biogeography and projection of antimicrobial toxin genes.Microbiome · 2025Article
- Ecological design of high-performance synthetic microbial communities: from theoretical foundations to functional optimization.ISME communications · 2025Review
- Dietary Influences on Gut Microbiota and Their Role in Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD).Nutrients · 2024Review
- Toxin-Antitoxin Systems Reflect Community Interactions Through Horizontal Gene Transfer.Molecular biology and evolution · 2024Article
- Gut Distribution, Impact Factor, and Action Mechanism of Bacteriocin-Producing Beneficial Microbes as Promising Antimicrobial Agents in Gastrointestinal Infection.Probiotics and antimicrobial proteins · 2024Review
- Systematic mining of the human microbiome identifies antimicrobial peptides with diverse activity spectra.Nature microbiology · 2023Article
- Heterologous Assembly of the Type VI Secretion System Empowers Laboratory Escherichia coli with Antimicrobial and Cell Penetration Capabilities.Applied and environmental microbiology · 2022Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Interbacterial antagonism can significantly impact microbiome assembly and stability and can potentially be exploited to modulate microbes and microbial communities in diverse environments, ranging from natural habitats to industrial bioreactors. Here we highlight key mechanisms of interspecies antagonism that rely on direct cell-to-cell contact or diffusion of secreted biomolecules, and discuss recent advances to provide altered function and specificities for microbiome engineering. We further outline the use of ecological design principles based on antagonistic interactions for bottom-up assembly of synthetic microbial communities. Manipulating microbial communities through these negative interactions will be critical for understanding complex microbiome processes and properties and developing new applications of microbiome engineering.
Identifiers
What OpenQuestion holds
Registered trials
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.