pH optimum
METPO:1000331 · CLASS · REVIEWED
A pH phenotype with numerical limits that represents the external pH conditions at which an organism exhibits the most efficient growth and reproduction.
pH-optimum balanced cytoplasmic homeostasis
Edge evidence
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external pH
imposes gradient of
proton
METPO:2007601External pH imposes a transmembrane H+ gradient on the cell.
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DOI:10.1016/j.tim.2007.02.005major contributor to the proton motive force
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cytoplasmic pH homeostasis
regulates
proton motive force
RO:0002211Cytoplasmic pH homeostasis maintains a balanced proton motive force at the optimal external pH.
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DOI:10.1038/nrmicro2549pH homeostasis
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proton motive force
enables
maximal growth rate
RO:0002327A balanced proton motive force enables peak growth.
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DOI:10.1016/j.tim.2007.02.005proton motive force
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maximal growth rate
manifests as
pH optimum
METPO:2007400The external pH supporting peak growth manifests the pH-optimum phenotype.
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DOI:10.1038/nrmicro2549cytoplasmic pH
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external pH
contributes to
proton motive force
RO:0002326The external pH largely determines the magnitude of the pH gradient (ΔpH) component of the proton motive force.
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DOI:10.1093/femsre/fuad033
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proton motive force
drives
ATP synthesis by F0F1-ATP synthase
The proton motive force drives ATP synthesis via the F0F1-ATP synthase.
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DOI:10.1093/femsre/fuad033
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Na+/H+ antiporter activity
enables
cytoplasm acidification
RO:0002327Proton-sensing Na+/H+ (and K+/H+) antiporters acidify the cytoplasm when internal pH gets too high.
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DOI:10.1093/femsre/fuad033
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cytoplasm acidification
regulates
cytoplasmic pH homeostasis
RO:0002211Antiporter-driven cytoplasm acidification contributes to cytoplasmic pH homeostasis.
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DOI:10.1093/femsre/fuad033
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metabolite decarboxylation pathways
contributes to
cytoplasmic pH homeostasis
RO:0002326Proton-consuming decarboxylation reactions raise the internal pH and contribute to pH homeostasis.
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DOI:10.1093/femsre/fuad033
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metabolite decarboxylation pathways
generates
proton motive force
biolink:producesFree energy from decarboxylation reactions can be stored as a proton motive force.
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DOI:10.1093/femsre/fuad033
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cytoplasmic buffering capacity
regulates
internal pH
RO:0002211Cytoplasmic buffering capacity stabilizes the internal pH by absorbing pH fluctuations.
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DOI:10.1093/femsre/fuad033
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Provenance
- Source
- METPO (2025-11-25)
- Definition source
- DOI:10.1038/nrmicro2549
Parent traits (2)
Children (4)
kg-microbe context
Matched 1 kg-microbe node via direct_metpo.
METPO:1000331[-2.375, -0.997, -3.355, +0.508, …]
Nearest neighbors in embedding space
- environment pH phenotype with numerical limits 0.942
- environment optimum phenotype with numerical limits 0.941
- environment pH range 0.896
- environment NaCl optimum 0.886
- environment growth range phenotype with numerical limits 0.880
- environment pH delta 0.875
- environment NaCl range 0.870
- environment salinity phenotype with numerical limits 0.869
Deep research
# Curation report: microbial pH optimum ## Executive scope **Target:** `METPO:1000331` (**pH optimum**; ENVIRONMENT; CLASS; REVIEWED). The trait should represent the **external pH at which a microorganism exhibits maximal growth or reproduction under a specified assay**. Operationally, it is the argmax of a growth-response curve—such as maximum specific growth rate, biomass yield, colony expansion, or another explicitly stated reproductive endpoint—while medium composition, temperature, oxygen regime, salinity, buffering, and growth phase are controlled. The most defensible generic mechanism is not that one universal “pH-optimum gene” fixes the optimum. Rather, external pH sets the proton gradient and acid–base burden across the cytoplasmic membrane; transport, membrane permeability, metabolism, and buffering then determine cytoplasmic pH and proton-motive-force homeostasis; these determine energetic and macromolecular performance and hence the observed growth maximum. Neutralophiles can grow over approximately external pH 5.5–9.0 while maintaining cytoplasmic pH around 7.5–7.7, illustrating that external optimum and intracellular pH are distinct variables. PMF comprises ΔpH and membrane potential Δψ and is a central energy currency. (krulwich2011molecularaspectsof pages 1-3, krulwich2011molecularaspectsof pages 3-5) ### Boundaries Do **not** conflate `METPO:1000331` with: 1. **pH growth range:** all external pH values permitting growth, rather than the maximum. 2. **Acid/alkali tolerance or survival:** recovery after non-growing exposure can occur outside the growth range. The authoritative review explicitly distinguishes growth from survival. (krulwich2011molecularaspectsof pages 1-3) 3. **Cytoplasmic pH or its optimum:** an internal state and mediator, not the environmental trait. 4. **Environmental pH preference:** pH at maximal abundance in nature is a *realized niche* affected by competitors, dispersal, nutrients, and other covariates; it is not necessarily culture-measured optimal growth pH. (ramoneda2023buildingagenomebased pages 6-7, ramoneda2023buildingagenomebased pages 1-2) 5. **Optimum pH of an enzyme, pathway, community, or industrial process:** these may help explain or exploit the organismal phenotype but are not equivalent to it. 6. **Endpoint-dependent optima:** maximum growth rate and maximum yield may occur at different pH values. The endpoint and curve-fitting method should therefore be retained as assay metadata. 7. **Nominal versus experienced pH:** weak organic acids can cross membranes in protonated form and dissociate internally; identical bulk pH values can consequently impose different intracellular stresses depending on acid identity and concentration. (lund2020understandinghowmicroorganisms pages 1-2, lund2020understandinghowmicroorganisms pages 2-3) ## Recommended graph architecture Retain the existing `ph_optimum_balanced_homeostasis` concept as the **taxon-neutral core**: > external pH → transmembrane proton distribution/ΔpH → PMF and cytoplasmic-pH burden → pH-homeostasis performance → ATP/energy and macromolecular function → growth rate → `METPO:1000331` Attach acid and alkaline response mechanisms as **conditional modules**, not universal parallel causes. Acid-resistance systems often explain survival below the optimum without shifting the optimum, whereas alkaliphile-specific antiporters can be constitutive determinants of high-pH growth. ## Candidate nodes grouped by type ### Trait and assay nodes - **pH optimum:** `METPO:1000331`. - External pH; pH growth-response curve; maximum specific growth rate; biomass yield; reproduction rate; pH growth range; acid survival; alkaline survival — retain as label-only candidates until exact project-compatible ontology terms are verified. - Experimental modifiers: buffer identity/capacity, mineral versus organic acid, medium composition, oxygen, temperature, salinity, inoculum history, adaptation state, planktonic/biofilm state, and sampling time. ### Environmental and chemical nodes - Hydron/proton: `CHEBI:15378`. - Sodium(1+): `CHEBI:29101`. - Urea: `CHEBI:16199`. - Ammonia: `CHEBI:16134`. - L-glutamate: `CHEBI:29985`. - 4-aminobutanoate/GABA: `CHEBI:16865`. - Arginine, lysine, ornithine, CO₂, ATP, ADP, weak organic acid, organic-acid anion, and cyclopropane fatty acids: use label-only nodes unless identifiers are independently checked during YAML implementation. ### Compartments and biophysical states - Plasma membrane: `GO:0005886`. - Cytoplasm; periplasm; extracellular region. - Cytoplasmic pH, transmembrane ΔpH, membrane potential Δψ, proton motive force, membrane proton permeability, membrane fluidity, intracellular ionic strength. ### Transport and energy modules - F₁F₀ ATP synthase/ATPase complex. - Respiratory proton pumps. - Na⁺/H⁺ antiporter; Mrp multisubunit Na⁺/H⁺ antiporter; NhaA. - Na⁺-pumping V₁V₀ ATPase.
Curation history
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SEEDED_FROM_METPO · seed_from_metpo
imported from data/raw/metpo.owl (CLASS)
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CURATED_CAUSAL_GRAPH · claude
Added DOI-backed causal graph linking external pH, cytoplasmic pH homeostasis, the proton motive force, and maximal growth to the pH-optimum phenotype.
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GROUND_CAUSAL_PREDICATES · claude
Grounded 1 causal-edge predicate_id field(s) via mappings/predicate_grounding.tsv (RO:0002327×1).
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GROUND_CAUSAL_PREDICATES · claude
Grounded 1 causal-edge predicate_id field(s) via mappings/predicate_grounding.tsv (METPO:2007400×1).
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RENAME_PREDICATE_LABELS · claude
Renamed 1 causal-edge predicate label(s) to align with existing groundings: maintains → regulates ×1.
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GROUND_CAUSAL_PREDICATES · claude
Grounded 1 causal-edge predicate_id field(s) via mappings/predicate_grounding.tsv (RO:0002211×1).
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GROUND_CAUSAL_NODES · claude
Grounded 1 causal-node grounding field(s) via mappings/node_grounding.tsv (GO:0030641×1).
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GROUND_CAUSAL_NODES · claude
Grounded 1 causal-node grounding field(s) via mappings/node_grounding.tsv (METPO:1007500×1).
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RETYPE_CAUSAL_NODES · claude
Re-typed 1 causal-node node_type field(s) to align with CausalNodeTypeEnum semantics: proton motive force: BIOLOGICAL_PROCESS → STATE ×1.
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GROUND_CAUSAL_PREDICATES · claude
Grounded 1 causal-edge predicate_id field(s) via mappings/predicate_grounding.tsv (METPO:2007601×1).
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FIX_NODE_GROUNDING_CURIE · claude
Overwrote 1 causal-node grounding(s) (obsolete/wrong GO -> corrected, verified vs OAK).
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ENRICH_CAUSAL_GRAPH · claude
Added 7 evidence-backed generic edges (6 new nodes) from the deep-research report.
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GROUND_CAUSAL_PREDICATES · claude
Grounded 6 causal-edge predicate_id field(s) via mappings/predicate_grounding.tsv (RO:0002326×2, RO:0002211×2, RO:0002327×1, biolink:produces×1).