Evolutionary Characters, Phenotypes and Ontologies: Curating Data from the Systematic Biology Literature Curation of Evolutionary Data
Wasila M. Dahdul, James P. Balhoff, Jeffrey Engeman, Terry Grande, Eric J. Hilton, Cartik Kothari, Hilmar Lapp, John G. Lundberg, Peter E. Midford, Todd J. Vision, Monte Westerfield, Paula M. Mabee, Janet Kelso
Abstract
'Eric J. Hilton' 'Cartik Kothari' 'Hilmar Lapp' 'John G. Lundberg' 'Peter E. Midford' 'Todd J. Vision' 'Monte Westerfield' 'Paula M. Mabee' 'Janet Kelso'] Background The wealth of phenotypic descriptions documented in the published articles, monographs, and dissertations of phylogenetic systematics is traditionally reported in a free-text format, and it is therefore largely inaccessible for linkage to biological databases for genetics, development, and phenotypes, and difficult to manage for large-scale integrative work. The Phenoscape project aims to represent these complex and detailed descriptions with rich and formal semantics that are amenable to computation and integration with phenotype data from other fields of biology. This entails reconceptualizing the traditional free-text characters into the computable Entity-Quality (EQ) formalism using ontologies. Methodology/Principal Findings We used ontologies and the EQ formalism to curate a collection of 47 phylogenetic studies on ostariophysan fishes (including catfishes, characins, minnows, knifefishes) and their relatives with the goal of integrating these complex phenotype descriptions with information from an existing model organism database (zebrafish, [http://zfin.org]()). We developed a curation workflow for the collection of character, taxonomic and specimen data from these publications. A total of 4,617 phenotypic characters (10,512 states) for 3,449 taxa, primarily species, were curated into EQ formalism (for a total of 12,861 EQ statements) using anatomical and taxonomic terms from teleost-specific ontologies (Teleost Anatomy Ontology and Teleost Taxonomy Ontology) in combination with terms from a quality ontology (Phenotype and Trait Ontology). Standards and guidelines for consistently and accurately representing phenotypes were developed in response to the challenges that were evident from two annotation experiments and from feedback from curators. Conclusions/Significance The challenges we encountered and many of the curation standards and methods for improving consistency that we developed are generally applicable to any effort to represent phenotypes using ontologies.

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