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Plant structure ontology: How should we label plant structures with doubtful or mixed identities?
- Publication Year :
- 2008
- Publisher :
- Magnolia Press, 2008.
-
Abstract
- This paper discusses problems with labelling plant structures in the context of attempts to create a unified Plant Structure Ontology. Special attention is given to structures with mixed, or doubtful identities that are difficult or even impossible to label with a single term. In various vascular plants (and some groups of animals) the structural categories for the description of forms are less distinct than is often supposed. Thus, there are morphological misfits that do not fit exactly into one or the other category and to which it is difficult, or even impossible, to apply a categorical name. After presenting three case studies of intermediate organs and organs whose identity is in doubt, we review five approaches to categorizing plant organs, and evaluate the potential of each to serve as a general reference system for gene annotations. The five approaches are (1) standardized vocabularies, (2) labels based on developmental genetics, (3) continuum morphology, (4) process morphology, (5) character cladograms. While all of these approaches have important domains of applicability, we conclude that process morphology is the one most suited to gene annotation.
- Subjects :
- Root (linguistics)
devo
Flowering plants
Intermediate organs
Context (language use)
Biology
580 Plants (Botany)
computer.software_genre
Organ identity
Continuum
Categorical variable
Ecology, Evolution, Behavior and Systematics
Taxonomy
Structure (mathematical logic)
business.industry
Ecology
Gene Annotation
Biodiversity
Plant structure ontology
Character cladogram
Plant ontology
10121 Department of Systematic and Evolutionary Botany
Evo
Leaf
1105 Ecology, Evolution, Behavior and Systematics
Cladogram
Root
Flower
Identity (object-oriented programming)
Ontology
Morphological nomenclature
Animal Science and Zoology
Gene ontology
Artificial intelligence
1103 Animal Science and Zoology
business
computer
Natural language processing
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....91f53f33bdea860551de38701d200ce8
- Full Text :
- https://doi.org/10.5167/uzh-11204