ReviewEngineering microbiology2024
Exploring interspecific interaction variability in microbiota: A review.
Review in Engineering microbiology, 2024. 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.
- From diet to function: using synthetic microbial communities to map gut microbial interactions.NPJ biofilms and microbiomes · 2026Review
- Polyethylene Mulch Emissions Differentially Impact the Soil Metabolome and Microbial Community in Field Pea (Journal of xenobiotics · 2026Article
- Advances in polyethylene biodegradation and bioconversion: Microbial, enzymatic, and biotechnological insights.Engineering microbiology · 2026Review
- Effector conformational plasticity enables lineage-specific secretion via Hcp heterohexamers in gut symbionts.Nature communications · 2026Article
- Emerging Therapeutic Approaches for Modulating the Intestinal Microbiota.Pharmaceutics · 2026Review
- Potential contribution of microbial interaction to stochasticity of microbiota assembly.ISME communications · 2026Article
- Interspecies interactions among sugarcane-associated bacteria and their impact on plant growth promotion traits.Frontiers in microbiology · 2026Article
- Interbacterial warfare in the human gut: insights from Bacteroidales' perspective.Gut microbes · 2025Review
- A nonenzymatic effector disruptsProceedings of the National Academy of Sciences of the United States of America · 2025Article
- Microbial ecology applied to fuel ethanol production from sugarcane.FEMS microbiology ecology · 2025Review
- Exploration of Core Microorganisms and Synthetic Microbial Communities in Low-TemperatureMicroorganisms · 2025Review
- Antimycobacterial activity of intertidal sediment-derived bacteria from False Bay, South Africa.Frontiers in microbiology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Interspecific interactions are an important component and a strong selective force in microbial communities. Over the past few decades, there has been a growing awareness of the variability in microbial interactions, and various studies are already unraveling the inner working dynamics in microbial communities. This has prompted scientists to develop novel techniques for characterizing the varying interspecific interactions among microbes. Here, we review the precise definitions of pairwise and high-order interactions, summarize the key concepts related to interaction variability, and discuss the strengths and weaknesses of emerging characterization techniques. Specifically, we found that most methods can accurately predict or provide direct information about microbial pairwise interactions. However, some of these methods inevitably mask the underlying high-order interactions in the microbial community. Making reasonable assumptions and choosing a characterization method to explore varying microbial interactions should allow us to better understand and engineer dynamic microbial systems.
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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.