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Description
Title
microntology
Short Description
microntology is a lightweight, data-driven controlled vocabulary to describe Earth's microbial habitats
Description
microntology encompasses (in v1.0) a controlled vocabulary of 148 crosslinked terms that fall into five broad habitat categories (terrestrial, aquatic, aerial, host-associated and anthropogenic environments) and additional categories that describe broad physicochemical properties, morphology, human host properties, animal host captivity status, and miscellaneous informative features such as (chemical) contamination or ancient (paleontological) sample provenance. MICRONT is designed as a pragmatic lightweight complement to existing detailed ontologies like ENVO, UBERON or GOLD; MICRONT terms are crosslinked to these where appropriate. Its purpose is a fast, automatable annotation of (meta)genomic microbial samples with browsable informative tags.
MICRONT follows five core design principles: it is (i) data-driven, encompassing terms to describe frequent sample types in existing data; (ii) pragmatic and query-oriented, defining terms at intermediate resolutions to facilitate user access and browsing; (iii) shallow, with only few hierarchical levels of classes; (iv) cross-linked between related terms from different hierarchical paths (e.g., a lake [MICRONT:02010100] would also be considered a lentic water body [MICRONT:02060100]); and (v) designed for parsimonious multi-tagging where individual samples are described by multiple independent terms, rather than a ‘best match’ highly detailed single term.
More details are available in a preprint at https://www.biorxiv.org/content/10.64898/2026.01.12.698811v1.full
Identifier Space
MICRONT
License
CC-BY 4.0
Domain
microbiology
Source Code Repository
https://github.com/grp-schmidt/microntology
Homepage
https://github.com/grp-schmidt/microntology
Issue Tracker
https://github.com/grp-schmidt/microntology/issues
Contribution Guidelines
https://github.com/grp-schmidt/microntology/blob/main/CONTRIBUTING.md
Ontology Download Link
https://github.com/grp-schmidt/microntology/blob/main/micront.owl
Contact Name
Sebastian Schmidt
Contact Email
Contact GitHub Username
defleury
Contact ORCID Identifier
0000-0001-8587-4177
Formats
- OWL RDF/XML (.owl)
- OBO (.obo)
- OBO Graph JSON (.json)
Dependencies
- envo
- uberon
- chebi
Related
- envo
- uberon
Usages
- user: spire.embl.de
description: SPIRE uses MICRONT annotations to ease browsing of publicly available metagenomic data
examples:
- url: https://spire.embl.de/environment?microntology=&add=aquatic&page=1
description: "Query for all aquatic samples available in SPIRE"
- user: vire.embl.de
description: VIRE uses MICRONT annotations to ease browsing of reconstructed viral genomes
examples:
- url: https://spire.embl.de/vire/environment/human_gut
description: "Query for all human gut samples available in VIRE"Intended Use Cases and/or Related Projects
microntology annotations are used by SPIRE (spire.embl.de) and associated databases, such as VIRE (vire.embl.de). It will continue to be developed in coordination with and as a lightweight complement to manually curated sample metadata in Metalog (metalog.embl.de).
MICRONT has been used in several previous projects, including (but not limited to):
- the Global Microbial SmORFs Catalogue (https://pubmed.ncbi.nlm.nih.gov/39214983/)
- to benchmark global-scale microbial habitat unsupervised taxonomic clusterings and modeling (https://www.biorxiv.org/content/10.1101/2025.07.18.664989.abstract)
- to categorize the main reservoirs of discoverable microbial diversity in existing data (https://www.biorxiv.org/content/10.1101/2025.06.26.661807v2.full)
We have moreover used MICRONT to semi-automatically annotate >300k publicly available metagenomes, available via Zenodo (https://zenodo.org/records/18164252).
Data Sources
Metalog (metalog.embl.de), publicly available sample contextual data on the European Nucleotide Archive, and manual curation.
Additional comments or remarks
No response
OBO Foundry Pre-registration Checklist
- I have read and understood the registration process instructions and the registration checklist.
- There is no other ontology in the OBO Foundry which would be an appropriate place for my terms. If there were, I have contacted the editors, and we decided in mutual agreement that a separate ontology is more appropriate.
- My ontology has a specific release file with a version IRI and a
dc:licenseannotation, serialised in RDF/XML. - My identifiers (classes and properties IRIs) are formatted according to the OBO Foundry Identifier Policy
- My term labels are in English and conform to the OBO Foundry Naming Conventions
- I understand that term definitions are key to understanding the intentions of a term, especially when the ontology is used in curation. I made sure that a reasonable majority of terms in my ontology--and all top level terms--have definitions, in English, using the IAO:0000115 property.
- For every term in my ontology, I checked whether another OBO Foundry ontology has one with the same meaning. If so, I re-used that term directly (not by cross-reference, by directly using the IRI).
- For all relationship properties (Object and Data Property), I checked whether the Relation Ontology (RO) includes an appropriate one. I understand that aligning with RO is an essential part of the overall alignment between OBO ontologies!
- For the selection of appropriate annotation properties, I looked at OMO first. I understand that aligning ontology metadata and term-level metadata is essential for cross-integration of OBO ontologies.
- If I was not sure about the meaning of any of the checkboxes above, I have consulted with a member of the OBO Foundry for advice, e.g., through the obo-discuss Google Group.
- The requested ID space does not conflict with another ID space found in other registries such as the Bioregistry and BioPortal, see here for a complete list.