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GallOnt: An ontology for plant gall phenotypes.
Deans, Andrew R; Nastasi, Louis Frank; Davis, Charles.
Afiliación
  • Deans AR; Frost Entomological Museum, The Pennsylvania State University, University Park, United States of America Frost Entomological Museum, The Pennsylvania State University University Park United States of America.
  • Nastasi LF; Frost Entomological Museum, The Pennsylvania State University, University Park, United States of America Frost Entomological Museum, The Pennsylvania State University University Park United States of America.
  • Davis C; Frost Entomological Museum, The Pennsylvania State University, University Park, United States of America Frost Entomological Museum, The Pennsylvania State University University Park United States of America.
Biodivers Data J ; 12: e128585, 2024.
Article en En | MEDLINE | ID: mdl-39229384
ABSTRACT
Galls are novel plant structures that develop in response to select biotic stressors. These structures, extended phenotypes of the inducer, usually serve to protect and feed the inducer or its progeny. This life history strategy has evolved dozens of times, and tens of thousands of species - including many bacteria, fungi, nematodes, mites and insects - are capable of manipulating plants in this way. The variation in gall phenotypes is extraordinary across species but usually predictable for each species of inducer. We introduce here a new ontology, GallOnt, that facilitates consistent descriptions and the semantic representation of and reasoning over plant gall phenotype data. GallOnt was largely developed from ontologies in the Open Biological and Biomedical Ontology (OBO) Foundry and stands to connect plant gall phenotypes to knowledge derived from model plant systems, including genotype-phenotype and agricultural research. We also introduce the idea of a new gall data standard - Minimum Information for the Description of Galls (MIDG version 0.1) - as a starting point for discussions regarding cecidology best practices.
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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Biodivers Data J Año: 2024 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Biodivers Data J Año: 2024 Tipo del documento: Article