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

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...

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Detalles Bibliográficos
Autores principales: Mabee, P, Balhoff, J P, Dahdul, W M, Lapp, H, Midford, P E, Vision, T J, Westerfield, M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3377363/
https://www.ncbi.nlm.nih.gov/pubmed/22736877
http://dx.doi.org/10.1111/j.1439-0426.2012.01985.x
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author Mabee, P
Balhoff, J P
Dahdul, W M
Lapp, H
Midford, P E
Vision, T J
Westerfield, M
author_facet Mabee, P
Balhoff, J P
Dahdul, W M
Lapp, H
Midford, P E
Vision, T J
Westerfield, M
author_sort Mabee, P
collection PubMed
description 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 2500 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.
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spelling pubmed-33773632013-06-01 500,000 fish phenotypes: The new informatics landscape for evolutionary and developmental biology of the vertebrate skeleton Mabee, P Balhoff, J P Dahdul, W M Lapp, H Midford, P E Vision, T J Westerfield, M J. Appl. Ichthyol Development and Evolution 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 2500 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. Blackwell Publishing Ltd 2012-06 /pmc/articles/PMC3377363/ /pubmed/22736877 http://dx.doi.org/10.1111/j.1439-0426.2012.01985.x Text en © 2012 Blackwell Verlag, Berlin http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.
spellingShingle Development and Evolution
Mabee, P
Balhoff, J P
Dahdul, W M
Lapp, H
Midford, P E
Vision, T J
Westerfield, M
500,000 fish phenotypes: The new informatics landscape for evolutionary and developmental biology of the vertebrate skeleton
title 500,000 fish phenotypes: The new informatics landscape for evolutionary and developmental biology of the vertebrate skeleton
title_full 500,000 fish phenotypes: The new informatics landscape for evolutionary and developmental biology of the vertebrate skeleton
title_fullStr 500,000 fish phenotypes: The new informatics landscape for evolutionary and developmental biology of the vertebrate skeleton
title_full_unstemmed 500,000 fish phenotypes: The new informatics landscape for evolutionary and developmental biology of the vertebrate skeleton
title_short 500,000 fish phenotypes: The new informatics landscape for evolutionary and developmental biology of the vertebrate skeleton
title_sort 500,000 fish phenotypes: the new informatics landscape for evolutionary and developmental biology of the vertebrate skeleton
topic Development and Evolution
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3377363/
https://www.ncbi.nlm.nih.gov/pubmed/22736877
http://dx.doi.org/10.1111/j.1439-0426.2012.01985.x
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