500,000 fish phenotypes: The new informatics landscape for evolutionary and developmental biology of the vertebrate skeleton.

Journal Article (Journal Article)

The rich phenotypic diversity that characterizes the vertebrate skeleton results from evolutionary changes in regulation of genes that drive development. Although relatively little is known about the genes that underlie the skeletal variation among fish species, significant knowledge of genetics and development is available for zebrafish. Because developmental processes are highly conserved, this knowledge can be leveraged for understanding the evolution of skeletal diversity. We developed the Phenoscape Knowledgebase (KB; http://kb.phenoscape.org) to yield testable hypotheses of candidate genes involved in skeletal evolution. We developed a community anatomy ontology for fishes and ontology-based methods to represent complex free-text character descriptions of species in a computable format. With these tools, we populated the KB with comparative morphological data from the literature on over 2,500 teleost fishes (mainly Ostariophysi) resulting in over 500,000 taxon phenotype annotations. The KB integrates these data with similarly structured phenotype data from zebrafish genes (http://zfin.org). Using ontology-based reasoning, candidate genes can be inferred for the phenotypes that vary across taxa, thereby uniting genetic and phenotypic data to formulate evo-devo hypotheses. The morphological data in the KB can be browsed, sorted, and aggregated in ways that provide unprecedented possibilities for data mining and discovery.

Full Text

Duke Authors

Cited Authors

  • Mabee, BP; Balhoff, JP; Dahdul, WM; Lapp, H; Midford, PE; Vision, TJ; Westerfield, M

Published Date

  • June 2012

Published In

Volume / Issue

  • 28 / 3

Start / End Page

  • 300 - 305

PubMed ID

  • 22736877

Pubmed Central ID

  • PMC3377363

Electronic International Standard Serial Number (EISSN)

  • 1439-0426

International Standard Serial Number (ISSN)

  • 0175-8659

Digital Object Identifier (DOI)

  • 10.1111/j.1439-0426.2012.01985.x


  • eng