neutrophilic

METPO:1003001 · CLASS · REVIEWED

A pH growth preference characterized by optimal growth at near-neutral pH values, typically between pH 6.5 and 7.5.

Neutrophilic near-neutral pH homeostasis mechanism

Evidence-backed causal sketch linking neutrophilic growth to near-neutral external pH and ordinary cytoplasmic pH homeostasis.

Neutrophilic near-neutral pH homeostasis mechanism Interactive directed graph showing evidence-backed causal relationships for neutrophilic.

Edge evidence

  • near-neutral external pH confers neutrophilic METPO:2007700

    Neutrophiles grow optimally when external pH is near neutrality.

    • DOI:10.1038/nrmicro2549 external pH values outside the cytoplasmic pH Review supports growth constraints around cytoplasmic pH compatibility.
  • cytoplasmic pH homeostasis confers neutrophilic METPO:2007700

    Growth near neutral pH still requires active maintenance of internal pH.

    • DOI:10.1038/nrmicro2549 bacterial pH homeostasis is a cell-wide physiological process Supports pH homeostasis as central to bacterial growth.
  • proton motive force interacts with cytoplasmic pH homeostasis biolink:interacts_with

    pH regulation is linked to proton motive force and bioenergetics.

    • DOI:10.1016/j.tim.2007.02.005 intrinsically linked to cellular bioenergetics Supports coupling of pH gradients and bioenergetics.
  • cation/proton antiporter contributes to cytoplasmic pH homeostasis RO:0002326

    Cation/proton antiporters help regulate ion and pH balance.

    • DOI:10.3390/ijms21124566 maintaining ion and pH homeostasis Supports cation/proton antiport as a general pH-homeostasis mechanism.
  • external acidic pH increases cytoplasmic proton influx RO:0002213

    Low external pH increases H+ entry into the cytoplasm, challenging neutral pH homeostasis.

    • DOI:10.1128/msystems.01037-23 At low pH, H+ can permeate into the cytoplasm via protonated water chains, ion channels, or damaged membranes (general for neutralophilic bacteria).
  • cytoplasmic buffering capacity contributes to intracellular pH RO:0002326

    Proton sequestration by cytoplasmic buffers stabilizes intracellular pH and protects enzyme function.

    • DOI:10.1128/msystems.01037-23 Protons can be sequestered by side-chains of proteins, inorganic phosphates, polyphosphates, or polyamines (general for neutralophiles).
  • amino-acid decarboxylation contributes to cytoplasmic pH homeostasis RO:0002326

    Decarboxylation directly removes H+ from the cytoplasm, raising internal pH.

    • DOI:10.3390/antibiotics12091474 The decarboxylation of amino acids is an enzyme-catalyzed reaction that consumes protons (general acid-tolerance mechanism in neutralophiles).
  • amino-acid decarboxylation contributes to proton motive force RO:0002326

    Charge-differential substrate/product antiport plus proton consumption couples pH homeostasis to PMF generation.

    • DOI:10.1093/femsre/fuad033 The chemistry of the decarboxylation reaction requires a proton, and the equivalent of 1 proton is pumped per molecule decarboxylated (general mechanism).
  • F1F0-ATPase proton pump contributes to cytoplasmic pH homeostasis RO:0002326

    ATP-dependent proton transport helps restore cytoplasmic pH under acid challenge.

    • DOI:10.3390/antibiotics12091474 Common mechanisms involved in bacterial acid tolerance include the F1-F0-ATPase proton pump (general).

Provenance

Source
METPO (2025-11-25)
Author
Anthea Guo
Definition source
DOI:10.1038/nrmicro2549

Synonyms (3)

  • neutralophile EXACT_SYNONYM · metpo.owl
  • neutralophilic EXACT_SYNONYM · metpo.owl
  • neutrophile EXACT_SYNONYM · metpo.owl

kg-microbe context

Matched 1 kg-microbe node via direct_metpo.

  • METPO:1003001 [-2.302, -2.147, -2.266, -0.758, …]

512-dim DeepWalkSkipGramEnsmallen embedding from kg-microbe (2026-04-25).

Nearest neighbors in embedding space

Top-8 cosine-similar METPO traits from the 2026-04-25 deepwalk (512-D).

Deep research

Generated by just research-trait; source: research/traits/environment/neutrophilic-deep-research-falcon.md

Unreviewed literature output — not curated TraitMech content Ontology identifiers suggested below have not been resolved against their ontologies, and some are known to be wrong. Check any CURIE against the source before using it.
# Curation report: microbial **neutrophilic** trait

## 1. Scope and recommended interpretation

**Target:** `METPO:1003001`  
**Label:** neutrophilic  
**Category:** ENVIRONMENT; **kind:** CLASS; **mapping:** REVIEWED  
**Operational definition supplied:** optimal growth near neutral pH, typically pH 6.5–7.5.

The trait should represent a **growth-optimum phenotype**, not merely survival at neutral pH and not every mechanism activated during acid or alkaline shock. A foundational review uses *neutralophile* more broadly for bacteria capable of growth over approximately external pH 5.5–9.0 while generally maintaining cytoplasmic pH around 7.5–7.7. That broader growth range is compatible with, but should not replace, the supplied narrower optimum of pH 6.5–7.5. (krulwich2011molecularaspectsof pages 1-3)

The central mechanistic interpretation is therefore:

> near-neutral extracellular pH → modest transmembrane ΔpH and compatible proton-motive force → cytoplasmic pH maintained in the range required by enzymes and macromolecular processes → maximal or near-maximal population growth.

This interpretation is supported by the observation that proteins have restricted functional pH ranges and that proton concentration is integral to cellular bioenergetics. In neutralophiles, cytoplasmic pH homeostasis and proton-motive-force management are thus proximal physiological requirements for growth. (krulwich2011molecularaspectsof pages 1-3)

### Boundary cases

1. **Acid tolerance is not neutrophily.** Enteric bacteria can survive gastric acidity without growing there; recovery after return to permissive pH measures survival, not an acidic growth optimum. Likewise, *S. aureus* growth at pH 4.5 is acid-stress adaptation, useful as mechanistic boundary evidence but not evidence that the organism’s defining optimum is acidic or neutral. (krulwich2011molecularaspectsof pages 1-3, beetham2024histidinetransportis pages 7-8)
2. **Alkali tolerance is not alkaliphily.** A 2024 Bacillus study classifies alkali-tolerant organisms as having optimal growth around pH 7–9 and failing above approximately 9.5, whereas alkaliphiles grow optimally around pH 10–12. Facultative alkaliphiles can grow near neutrality but retain an alkaline optimum. (maksimova2024metabolicandmorphological pages 1-2)
3. **Broad pH range does not establish the optimum.** Growth rates or yields must be measured across buffered pH values. Endpoint viability, metabolic dye reduction, ATP, or membrane integrity alone establish tolerance or physiological activity, not neutrophilic preference.
4. **“Neutrophile” is lexically hazardous.** In biomedical text it commonly denotes the leukocyte. For microbial curation, use **neutralophile**, **neutralophilic microorganism**, or the exact trait label **neutrophilic**, while excluding immune-cell records.
5. **pH is conditional.** Temperature, medium composition, aeration, salt, weak acids/bases, growth phase, and buffer chemistry can shift the measured optimum. The 2024 Bacillus work, for example, jointly varied pH and NaCl and found broader resistance in an alkaliphile, illustrating confounding by mineralization. (maksimova2024metabolicandmorphological pages 1-2, maksimova2024metabolicandmorphological pages 5-6)

## 2. Current mechanistic model and expert assessment

Krulwich, Sachs, and Padan’s authoritative synthesis frames pH homeostasis as a coordinated system involving proton-motive force (PMF), primary proton pumps, ATPases, cation/proton antiporters, metabolic proton consumption or production, and envelope permeability. PMF comprises ΔpH and electrical potential Δψ; under standard conditions the review gives the approximation **PMF (mV) = Δψ − 59ΔpH**. Neutralophilic *E. coli* growing around pH 7 has only a small alkaline-inside ΔpH but a substantial negative-inside Δψ. (krulwich2011molecularaspectsof pages 1-3)

This is not a single conserved “neutrophily pathway.” It is a **systems phenotype** emerging from ordinary cellular machinery tuned to keep cytoplasmic physicochemistry compatible with growth. The strongest universal graph core is consequently small: extracellular pH, cytoplasmic pH, ΔpH/Δψ, PMF, macromolecular function, and growth. Specific pumps, antiporters, decarboxylases, and envelope factors should be attached as taxon- and condition-specific branches rather than universal prerequisites.

The source’s mechanistic figure independently depicts acid-challenged *E. coli* and *Streptococcus mutans*, and alkali-challenged *E. coli* and *Enterococcus hirae*. It confirms that the direction and identity of ATPase and ion-transport responses vary by organism and metabolic mode. (krulwich2011molecularaspectsof media 27b96047)

## 3. Candidate nodes grouped by type

### Trait and environmental nodes

- **neutrophilic** — `METPO:1003001`
- **parent trait** — `METPO:1003000`
- near-neutral extracellular pH, pH 6.5–7.5 — label-only environmental/experimental condition
- acidic challenge / low extracellular pH — label-only condition
- alkaline challenge / high extracellular pH — label-only condition
- sodium-poor condition — label-only experimental modifier
- oxygen availability, medium buffer, temperature, NaCl concentration, weak organic acids — label-only covariates

### Cellular state, localization, and process nodes

- cytoplasm — `GO:0005737`
- plasma membrane — `GO:0005886`
- cell wall — `GO:0005618`
- cytoplasmic pH homeostasis — `GO:0030641`
- proton transmembrane transport — `GO:1902600`
- cellular response to pH — `GO:0071467`
- growth / population growth — preferably use the project’s established microbial-growth term; otherwise label-only
- proton-motive force, transmembrane ΔpH, membrane potential Δψ — label-only unless the project has an established electrochemical-gradient ontology
- protein folding/function, enzyme activity, nutrient transport, ATP synthesis — GO grounding should be selected only at the granularity represented in the final graph

### Chemicals and metabolites

- proton — `CHEBI:15378`

Showing the first 60 of 222 lines of findings; the linked file also carries the run's front matter and the prompt it was given — read the full report.

Curation history

  1. · SEEDED_FROM_METPO · seed_from_metpo

    imported from data/raw/metpo.owl (CLASS)

  2. · CURATED_WITH_LITERATURE · codex

    Reviewed neutrophilic trait and added DOI-backed evidence and causal graph for near-neutral pH homeostasis.

  3. · GROUND_CAUSAL_PREDICATES · claude

    Grounded 2 causal-edge predicate_id field(s) via mappings/predicate_grounding.tsv (RO:0002327×1, RO:0002326×1).

  4. · GROUND_CAUSAL_PREDICATES · claude

    Grounded 1 causal-edge predicate_id field(s) via mappings/predicate_grounding.tsv (biolink:interacts_with×1).

  5. · RENAME_PREDICATE_LABELS · claude

    Renamed 1 causal-edge predicate label(s) to align with existing groundings: supports → enables ×1.

  6. · GROUND_CAUSAL_PREDICATES · claude

    Grounded 1 causal-edge predicate_id field(s) via mappings/predicate_grounding.tsv (RO:0002327×1).

  7. · GROUND_CAUSAL_NODES · claude

    Grounded 1 causal-node grounding field(s) via mappings/node_grounding.tsv (GO:0030641×1).

  8. · GROUND_CAUSAL_NODES · claude

    Grounded 1 causal-node grounding field(s) via mappings/node_grounding.tsv (METPO:1007500×1).

  9. · GROUND_CAUSAL_NODES · claude

    Grounded 1 causal-node grounding field(s) via mappings/node_grounding.tsv (UniProtKB:A0A0H3JRG4×1).

  10. · GROUND_CAUSAL_NODES · claude

    Grounded 1 causal-node grounding field(s) via mappings/node_grounding.tsv (PATO:0001432×1).

  11. · 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.

  12. · FIX_NODE_GROUNDING_CURIE · claude

    Overwrote 1 causal-node grounding(s) (obsolete/wrong GO -> corrected, verified vs OAK).

  13. · FIX_NODE_GROUNDING_CURIE · claude

    Overwrote 1 pH causal-node grounding(s) to corrected PATO CURIEs (phase-2; verified vs OAK).

  14. · ENRICH_CAUSAL_GRAPH · claude

    Added 5 evidence-backed generic edges (6 new nodes) from the deep-research report.

  15. · GROUND_CAUSAL_PREDICATES · claude

    Grounded 5 causal-edge predicate_id field(s) via mappings/predicate_grounding.tsv (RO:0002326×4, RO:0002213×1).

  16. · MIGRATE_ENABLES_TRAIT_EDGES · claude

    Migrated 2 causal edge(s) off enables/RO:0002327 with a TRAIT object (2 to confers), issue 302. RO:0002327 has range 'biological process or activity', which a trait (a disposition) cannot satisfy, so the previous form entailed trait is-a BiologicalProcessOrActivity. The replacements are proposed in proposals/metpo_traitmech_v8 and are placeholder ids until METPO mints them.

  17. · NORMALISE_NODE_TYPE · claude

    Under the PATHWAY-vs-BIOLOGICAL_PROCESS rule, one node_id means one thing corpus-wide (issue 356): amino_acid_decarboxylation is typed BIOLOGICAL_PROCESS. PATHWAY is a named, conventionally enumerable multi-step route; BIOLOGICAL_PROCESS is everything else. A REACTION CLASS, not a route. The corpus describes it that way in neutrophilic.yaml -- 'Enzyme-catalyzed decarboxylation reaction that consumes cytoplasmic protons' -- and the wording varies by record, so read that as the family's sense rather than as this record's own text. Named systems that implement it (Gad) would be pathways; the reaction class is not. Was 4 BIOLOGICAL_PROCESS to 2 before this tranche.