ReviewmSystems2023
More is Different: Metabolic Modeling of Diverse Microbial Communities.
Review in mSystems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled 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.
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
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.
- Leveraging genome-scale metabolic models to understand aerobic methanotrophs.The ISME journal · 2024Pooled it
- Flux sampling and context-specific genome-scale metabolic models for biotechnological applications.Trends in biotechnology · 2026Review
- Metabolic modeling reveals determinants of prebiotic and probiotic treatment efficacy across multiple human intervention trials.PLoS biology · 2026Article
- Constraint-Based Modeling of Microbial Communities for Metabolite Production.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Molecular adaptations and engineering of extremophiles for synthetic biology and biotechnological applications.Frontiers in microbiology · 2026Review
- Personalized Constraint-Based Modeling of Microbial Communities from Metagenomic Data.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Identification of dynamic models of microbial communities: A workflow addressing identifiability and modeling pitfalls.PLoS computational biology · 2025Article
- Microbial micronutrient sharing, gut redox balance and keystone taxa as a basis for a new perspective to solutions targeting health from the gut.Gut microbes · 2025Review
- Metabolic modeling of microbial communities in the chicken ceca reveals a landscape of competition and co-operation.Microbiome · 2025Article
- Modulatory effects of Boletus edulis on the gut microbiota in Atlantic salmon (Salmo salar) utilizing an artificial teleost gut model.Animal microbiome · 2025Article
- Personalized Clostridioides difficile colonization risk prediction and probiotic therapy assessment in the human gut.Cell systems · 2025Article
- Harnessing conductive materials to reshape sewer microbiomes and mitigate corrosion from sulfide and hydrogen sulfide formation.Scientific reports · 2025Article
- Competition and cooperation: The plasticity of bacterial interactions across environments.PLoS computational biology · 2025Article
- Reducing redundancy and enhancing accuracy through a phylogenetically-informed microbial community metabolic modeling approach.Bioinformatics (Oxford, England) · 2025Article
- Moving from genome-scale to community-scale metabolic models for the human gut microbiome.Nature microbiology · 2025Review
- Genome-Scale Community Model-Guided Development of Bacterial Coculture for Lignocellulose Bioconversion.Biotechnology and bioengineering · 2025Article
- Core cooperative metabolism in low-complexity CO2-fixing anaerobic microbiota.The ISME journal · 2025Article
- Metabolic modeling of host-microbe interactions.Computational and structural biotechnology journal · 2025Review
- Mathematical models of the colonic microbiota: an evaluation of accuracy usingFrontiers in nutrition · 2025Article
- Engineering Gut Symbionts: A Way to Promote Bee Growth?Insects · 2024Review
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 at 2 institutions in 1 country.
Funding
Abstract
Microbial consortia drive essential processes, ranging from nitrogen fixation in soils to providing metabolic breakdown products to animal hosts. However, it is challenging to translate the composition of microbial consortia into their emergent functional capacities. Community-scale metabolic models hold the potential to simulate the outputs of complex microbial communities in a given environmental context, but there is currently no consensus for what the fitness function of an entire community should look like in the presence of ecological interactions and whether community-wide growth operates close to a maximum. Transitioning from single-taxon genome-scale metabolic models to multitaxon models implies a growth cone without a well-specified growth rate solution for individual taxa. Here, we argue that dynamic approaches naturally overcome these limitations, but they come at the cost of being computationally expensive. Furthermore, we show how two nondynamic, steady-state approaches approximate dynamic trajectories and pick ecologically relevant solutions from the community growth cone with improved computational scalability.
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.