pH optimum mid2
METPO:1000457 · CLASS · REVIEWED
A pH optimum phenotype with the best-growth external pH between approximately 7 and 8, corresponding to neutrophilic or moderately alkaliphilic physiology.
pH-optimum-mid2 alkaline-tolerant setpoint
Edge evidence
-
slightly alkaline external pH
engages
modest alkaline pH homeostasis
Slightly alkaline external pH engages modest alkaline pH-homeostasis.
-
DOI:10.1016/j.tim.2007.02.005proton motive force
-
-
modest alkaline pH homeostasis
confers
pH optimum mid2
METPO:2007700Modest alkaline pH-homeostasis yields a neutrophile / alkaline-tolerant pH-optimum setpoint.
-
DOI:10.1038/nrmicro2549pH homeostasis
-
-
pH optimum mid2
is a
pH optimum
rdfs:subClassOfpH optimum mid2 is a quantitative bin of the pH-optimum phenotype.
-
DOI:10.1038/nrmicro2549cytoplasmic pH
-
-
cytoplasmic buffering capacity
stabilizes
intracellular pH homeostasis
Cytoplasmic buffering capacity stabilizes intracellular pH against fluctuations.
-
DOI:10.1093/femsre/fuad033
-
-
Na+/H+ antiporters
maintains
intracellular pH homeostasis
Na+/H+ antiporters acidify the cytoplasm when pHi is too high, maintaining pH homeostasis.
-
DOI:10.1093/femsre/fuad033
-
-
K+/H+ antiporters
regulates
intracellular pH homeostasis
RO:0002211K+/H+ antiporters are key regulators of bacterial internal pH.
-
DOI:10.1093/femsre/fuad033
-
-
proton-pumping respiratory chain components
maintains
intracellular pH homeostasis
Proton-pumping respiratory chain components prevent the internal pH from becoming too low.
-
DOI:10.1093/femsre/fuad033
-
-
metabolite decarboxylation pathways
generates
proton motive force
biolink:producesMetabolite decarboxylation pathways store free energy as proton motive force.
-
DOI:10.1093/femsre/fuad033
-
-
proton motive force
powers
F0F1-ATP synthase
Proton motive force powers F0F1-ATP synthase ATP synthesis.
-
DOI:10.1093/femsre/fuad033
-
Provenance
- Source
- METPO (2025-11-25)
- Definition source
- DOI:10.1038/nrmicro2549
Parent traits (1)
Synonyms (4)
- Alkali Tolerant
- Alkaliphile
- Neutrophile
- pHO_7_to_8
kg-microbe context
Matched 1 kg-microbe node via direct_metpo.
METPO:1000457[-2.141, -1.296, -1.380, +3.241, …]
Nearest neighbors in embedding space
- environment pH range mid2 0.796
- environment pH range mid3 0.787
- environment pH range mid1 0.785
- environment pH range low 0.756
- environment temperature range low 0.735
- environment temperature range mid1 0.709
- environment temperature delta mid2 0.692
- environment temperature range very low 0.680
Deep research
# Curation report: microbial **pH optimum mid2** ## 1. Scope summary **Target:** “pH optimum mid2” **Identifier:** `METPO:1000457` **Category/kind/status:** ENVIRONMENT / CLASS / REVIEWED **Parent:** `METPO:1000331` This trait should denote an **assay-observed external-pH optimum**: the pH, or narrow pH interval, at which a microbial strain exhibits its best measured growth, with the optimum falling approximately between **pH 7 and 8**. It is therefore an organism-level environmental preference, not a molecular activity. The trait must be distinguished from: 1. **Cytoplasmic pH.** Neutralophilic bacteria may grow over approximately pH 5.5–9.0 while maintaining cytoplasmic pH near 7.5–7.7. A cytoplasmic value in this interval does not establish an external growth optimum of 7–8. (krulwich2011molecularaspectsof pages 1-3) 2. **Growth range.** Growth at pH 7–8 is insufficient if maximal growth occurs elsewhere. In a 2023 isolate study, Paeni-Cedars grew over pH 7–10 but had a reported optimum around pH 9; it therefore should not be assigned `METPO:1000457` merely because it grows at pH 7–8. Ali-BS5-314 had an optimum at pH 11 and range pH 10–12, clearly representing alkaliphily outside this class. (thompson2023insightsintothe pages 5-7, thompson2023insightsintothe pages 3-4) 3. **Alkali tolerance or survival.** Survival after an alkaline challenge, maintenance of ATP, or maintenance of ΔpH is a stress-resistance phenotype, not necessarily an optimum. 4. **Extreme alkaliphily.** Mechanisms established at pH 10–12 can provide plausible upstream nodes, but cannot by themselves establish a best-growth setpoint at pH 7–8. 5. **Assay-dependent apparent optima.** Medium composition, buffer, sodium concentration, oxygen, temperature, carbon source, growth phase, and the pH sampling grid can shift the observed optimum. If a study reports “pH 7–9” as equally optimal, the value overlaps but does not unambiguously resolve the 7–8 bin. A practical curation rule is to require an explicitly reported optimum within 7–8, or quantitative growth measurements showing the maximum in that interval under stated conditions. A broad-range or endpoint survival measurement should be represented separately. ## 2. Current mechanistic understanding The core explanatory process is **cytoplasmic pH homeostasis**. Rising external pH lowers proton availability and can reverse or diminish the favorable ΔpH component of proton motive force. Cells compensate through coordinated ion antiport, respiratory-chain regulation, ATP synthase activity, membrane potential, and cell-envelope proton retention. Proton motive force comprises both ΔpH and electrical potential, so external pH cannot be interpreted independently of ion gradients and membrane energetics. (krulwich2011molecularaspectsof pages 1-3) At alkaline pH in *Escherichia coli*, NhaA carries out electrogenic Na⁺/H⁺ exchange with a reported 2 H⁺:1 Na⁺ stoichiometry, permitting proton entry driven by membrane potential. NhaA loss compromises high-pH growth in the presence of sodium, providing direct gene-level support for an antiporter-to-homeostasis edge. Under sodium-poor conditions, K⁺/H⁺ exchange can become more important. (krulwich2011molecularaspectsof pages 6-8, krulwich2011molecularaspectsof pages 5-6) In aerobic alkaliphilic *Bacillus*, the multisubunit Mrp Na⁺/H⁺ antiporter is especially important. A point mutation in *mrpA* in *Bacillus halodurans* C-125 caused loss of alkaline pH homeostasis and of the alkaliphilic phenotype. ATP-synthase subunit mutations likewise reduced activity and correlated with failure of pH homeostasis during alkaline shifts. These are strong causal observations, but their direct evidence concerns stronger alkaliphily rather than a 7–8 optimum. (krulwich2011molecularaspectsof pages 12-14) Cell-envelope architecture can create a proton-retaining surface microenvironment. Acidic wall polymers and low-isoelectric-point surface proteins have been proposed to concentrate protons near the membrane. Deleting the S-layer protein *slpA* from *Bacillus pseudofirmus* OF4 reduced adaptation after a shift from pH 7.5 to 11, supporting the envelope-to-alkaline-adaptation link in that organism. (krulwich2011molecularaspectsof pages 6-8, krulwich2011molecularaspectsof pages 5-6) Respiration is an important context variable. In *Caldalkalibacillus thermarum* TA2.A1 chemostats spanning 0.25–4.2% O₂, type I and II NADH dehydrogenases were constitutive, terminal oxidase abundance varied with oxygen, and Mrp abundance decreased under lower oxygen. Thus, oxygen supply can alter the expression of pH-homeostasis machinery; the result is proteomic association, not proof that oxygen determines the pH optimum. (jong2024quantitativeproteomicsreveals pages 1-2) ## 3. Candidate nodes ### Trait and environmental nodes - **pH optimum mid2:** `METPO:1000457` - **Parent pH-optimum trait:** `METPO:1000331` - External pH 7–8 — label-only unless the project has a validated pH-quality representation - Alkaline pH challenge — label-only - Sodium concentration - Potassium concentration - Oxygen concentration - Temperature - Medium buffering capacity - Growth medium composition - Growth rate / biomass yield / lag time — assay-output nodes ### Chemicals and energetic quantities - Proton: `CHEBI:15378` - Sodium ion: `CHEBI:29101` - Potassium ion: `CHEBI:29103` - Oxygen: `CHEBI:15379` - ATP: `CHEBI:15422` - Proton motive force — label-only candidate - Transmembrane pH gradient, ΔpH — label-only candidate - Membrane potential, Δψ — label-only candidate
Curation history
-
·
SEEDED_FROM_METPO · seed_from_metpo
imported from data/raw/metpo.owl (CLASS)
-
·
CURATED_CAUSAL_GRAPH · claude
Added DOI-backed definition and causal graph linking modest alkaline pH-homeostasis to the neutrophile / mild-alkaliphile pH-optimum-mid2 bin.
-
·
GROUND_CAUSAL_PREDICATES · claude
Grounded 2 causal-edge predicate_id field(s) via mappings/predicate_grounding.tsv (METPO:2000202×1, rdfs:subClassOf×1).
-
·
ENRICH_CAUSAL_GRAPH · claude
Added 6 evidence-backed generic edges (8 new nodes) from the deep-research report.
-
·
GROUND_CAUSAL_PREDICATES · claude
Grounded 2 causal-edge predicate_id field(s) via mappings/predicate_grounding.tsv (RO:0002211×1, biolink:produces×1).
-
·
GROUND_CAUSAL_NODES · claude
Grounded 1 causal-node grounding field(s) via mappings/node_grounding.tsv (UniProtKB:A0A1Z4VR00×1).
-
·
MIGRATE_MICROBE_DOMAIN_EDGES · claude
Re-grounded 1 causal edge(s) off microbe-domain METPO predicates (1 to confers), issue 301. The previous predicates are transitively rdfs:subPropertyOf METPO:2000001, whose rdfs:domain is METPO:1000525 (microbe), so a causal-graph subject entailed that the subject IS a microbe; CausalNodeTypeEnum has no organism member, so no such edge could ever satisfy the domain. Edge directions are unchanged - this pass only relabels and re-grounds. RO:0002234 (has output) is used where the subject is an activity, since biolink gives it the domain 'biological process or activity'; the METPO replacements are proposed in proposals/metpo_traitmech_v8 and v9 and are placeholder ids until METPO mints them.
-
·
NORMALISE_NODE_TYPE · claude
Normalised causal-node type(s) so one node_id means one thing corpus-wide (issue 356): cytoplasmic_buffering_capacity: BIOLOGICAL_PROCESS -> CAPACITY; proton_motive_force: BIOLOGICAL_PROCESS -> STATE. A reservoir, not a process: the playbook's CAPACITY table names this node explicitly as the reservoir sense ('Capacity of cytoplasmic buffers to absorb pH fluctuations'). The lone BIOLOGICAL_PROCESS occurrence (ph_optimum_mid2.yaml) describes 'Buffering of the cytoplasm (e.g. phosphate pools) absorbing pH fluctuations' -- the same pool the other three call a capacity. The schema's OWN example of STATE: 'a bioenergetic or molecular state of the cell (e.g. proton motive force ...) ... the state is the gradient / steady-value, not its establishment'. All 35 occurrences describe the gradient -- every description across all four types reads 'electrochemical proton gradient', including the 13 typed BIOLOGICAL_PROCESS ('Transmembrane electrochemical gradient generated by respiration'), which name the gradient and its provenance rather than the generating process. Nothing here means the establishment, so this is a retype and not a rename; records that DO mean the process already use a separate id (proton_motive_force_generation in ph_delta.yaml). Also settles the one edge #356 was filed for: phototrophic.yaml's CAPACITY typing was blocking `powers` (METPO:2007900), which is gated to BIOLOGICAL_PROCESS|STATE.