ArticleNature communications2020
Interaction variability shapes succession of synthetic microbial ecosystems.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 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
28 citing papers in PubMed.
- Niche Construction: A Rational Engineering Strategy for Regulating Microbial Assembly to Enhance Flavor and Bioactivity of Fermented Foods.Comprehensive reviews in food science and food safety · 2026Review
- Emergent phenotypic heterogeneity in synthetic cross-feeding consortia driven by heterogeneous metabolite distribution.National science review · 2026Article
- Advances, opportunities, and challenges in microbial community construction: from environmental remediation to biomanufacturing.Archives of microbiology · 2026Review
- Differential Selection Effects of Continuous AITC Fumigation on Soil Microbial Communities and Functions and Identification of Tolerant Strains.Microorganisms · 2026Article
- Microbial community assembly in the fermentation of cigar tobacco leaves.Frontiers in bioengineering and biotechnology · 2026Review
- Potential contribution of microbial interaction to stochasticity of microbiota assembly.ISME communications · 2026Article
- Competition and cooperation: The plasticity of bacterial interactions across environments.PLoS computational biology · 2025Article
- Advances in synthetic microbial ecosystems approach for studying ecological interactions and their influencing factors.Engineering microbiology · 2025Review
- Initial abiotic factors as key drivers in core microbe assembly: Regulatory effects on flavor profiles in light-flavorFood chemistry: X · 2025Article
- Exploring interspecific interaction variability in microbiota: A review.Engineering microbiology · 2024Review
- Assembly of functional microbial ecosystems: from molecular circuits to communities.FEMS microbiology reviews · 2024Review
- DyMMM-LEAPS: An ML-based framework for modulating evenness and stability in synthetic microbial communities.Biophysical journal · 2024Article
- Formation of a constructed microbial community in a nutrient-rich environment indicates bacterial interspecific competition.mSystems · 2024Article
- OsCIPK2 mediated rice root microorganisms and metabolites to improve plant nitrogen uptake.BMC plant biology · 2024Article
- Saccharomyces boulardii enhances anti-inflammatory effectors and AhR activation via metabolic interactions in probiotic communities.The ISME journal · 2024Article
- Nitrogen transfer and cross-feeding between Azotobacter chroococcum and Paracoccus aminovorans promotes pyrene degradation.The ISME journal · 2023Article
- Linking plant functional genes to rhizosphere microbes: a review.Plant biotechnology journal · 2023Review
- Assembly strategies for polyethylene-degrading microbial consortia based on the combination of omics tools and the "Plastisphere".Frontiers in microbiology · 2023Review
- Agent-Based Modeling of Microbial Communities.ACS synthetic biology · 2022Review
- Individual-Based Modeling of Spatial Dynamics of Chemotactic Microbial Populations.ACS synthetic biology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cellular interactions are a major driver for the assembly and functioning of microbial communities. Their strengths are shown to be highly variable in nature; however, it is unclear how such variations regulate community behaviors. Here we construct synthetic Lactococcus lactis consortia and mathematical models to elucidate the role of interaction variability in ecosystem succession and to further determine if casting variability into modeling empowers bottom-up predictions. For a consortium of bacteriocin-mediated cooperation and competition, we find increasing the variations of cooperation, from either altered labor partition or random sampling, drives the community into distinct structures. When the cooperation and competition are additionally modulated by pH, ecosystem succession becomes jointly controlled by the variations of both interactions and yields more diversified dynamics. Mathematical models incorporating variability successfully capture all of these experimental observations. Our study demonstrates interaction variability as a key regulator of community dynamics, providing insights into bottom-up predictions of microbial ecosystems.
Indexed as
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.