KBase Models for Zahmeeth Original PLOS

Public KBase narrative centered on metabolic model editing, merged community modeling, and flux analyses for the Zahmeeth Original PLOS model set.

Taxonomy

Taxon Ontology ID Functional Roles Abundance
Escherichia coli NCBITaxon:562 · TaxonMech · TraitMech
CROSS_FEEDER
N/A
  • doi:10.1101/2023.08.23.554558 - SUPPORT (COMPUTATIONAL)
    "idealized two-member microbial communities, one of E. coli and Pseudomonas fluorescens"
Pseudomonas fluorescens NCBITaxon:294 · TaxonMech · TraitMech
CROSS_FEEDER
N/A
  • doi:10.1101/2023.08.23.554558 - SUPPORT (COMPUTATIONAL)
    "idealized two-member microbial communities, one of E. coli and Pseudomonas fluorescens"
Bacteroides thetaiotaomicron NCBITaxon:818 · TaxonMech · TraitMech
SYNTROPHIC_PARTNER
N/A
Klebsiella NCBITaxon:570 · TaxonMech · TraitMech
CROSS_FEEDER
N/A

Ecological Interactions

The graph shows only explicitly linked interaction participants. Community members without an asserted participant link are omitted; membership alone does not imply an interaction.

Ecological interaction network for KBase Models for Zahmeeth Original PLOS Bipartite graph where circles represent taxa and non-circular symbols represent interactions. Rare or untyped interactions share the Other symbol; exact curated types remain in the interaction details.
Taxon
Other

Model-Architecture-Dependent Information Flow

Mixed-bag models generally had higher mutual-information scores than compartmentalized models. The authors attribute this to pooling reactions without intermember transport constraints; this is a model-architecture interpretation, not observed niche partitioning or a selectively validated biological transport mechanism. Methods/Results identify E. coli iML1515 and B. theta iAH991; the abstract names different pairs. The two canonical participants delimit the modeled comparison, not a four-member consortium; the source/metadata discrepancy remains #1527.

Participating Taxa: Escherichia coli, Bacteroides thetaiotaomicron

Evidence

  • doi:10.1101/2023.08.23.554558 - SUPPORT (COMPUTATIONAL)
    "mixed-bag framework conducts greater information flow than the compartmentalized framework"

Model-Conditional Growth Contrasts

Community models grew on dextrin where the E. coli isolate model did not. Aerobic isolated B. theta growth and information flow were manually set to zero, with that constraint lifted in community models; the contrast is not independently predicted partner rescue. Model growth does not establish actual strain growth, resolved cross-feeding, stable community formation or reciprocal benefit. Methods/Results identify E. coli iML1515 and B. theta iAH991; the abstract names different pairs. The two canonical participants delimit the modeled comparison, not a four-member consortium; the source/metadata discrepancy remains #1527.

Participating Taxa: Escherichia coli, Bacteroides thetaiotaomicron

Metabolites: dextrin (CHEBI:28675 · MediaIngredientMech · CMMMech)

Evidence

Greater Community Information Flow

RFMIA generally returned higher mutual-information scores for the community models than for isolated models under the tested nutrient combinations. These are computed information-theoretic outputs in bits, not measured molecular communication, a universal growth advantage or mutualism. Methods/Results identify E. coli iML1515 and B. theta iAH991; the abstract names different pairs. The two canonical participants delimit the modeled comparison, not a four-member consortium; the source/metadata discrepancy remains #1527.

Participating Taxa: Escherichia coli, Bacteroides thetaiotaomicron

Evidence

Associated Datasets

Dataset Type Repository Accession
Primary publication
bioRxiv preprint describing information flow through microbial community metabolic models.
OTHER OTHER doi:10.1101/2023.08.23.554558

Knowledge gaps & discussions (1)

KNOWLEDGE_GAP OPEN Which model-dependent findings persist with verified partners and experimentally tested constraints?

Remove adaptation/construction nodes and all five procedural or co-occurrence arrows. Keep three existing modeled observations without imposing a new causal chain. Primary full v1 PDF text/captions read and selected Methods, equations, table, architecture and charts visually inspected; no independent mathematical derivation, supplement/code/raw simulation audit or model rerun. Manually imposed aerobic constraints cannot validate partner rescue. #1527 tracks non-graph model/partner metadata and #1528 the mismatching cached abstract. Canonical identifiers and raw non-graph blocks are preserved; no new graph structure.

Attaches to: ecological_interactions#Model-Architecture-Dependent Information Flow, ecological_interactions#Model-Conditional Growth Contrasts, ecological_interactions#Greater Community Information Flow

External Resources

Name Repository Resource ID
KBase narrative
Models for Zahmeeth_Original_PLOS narrative page.
KBASE ws.40576.obj.330
  • PMID:29979655 - SUPPORT (COMPUTATIONAL)
    "KBase: The United States Department of Energy Systems Biology Knowledgebase."

Cross-Mech Suite Links

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