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Data Sources for Trait Databases: Comparing the Phenomic Content of Monographs and Evolutionary Matrices

Databases of organismal traits that aggregate information from one or multiple sources can be leveraged for large-scale analyses in biology. Yet the differences among these data streams and how well they capture trait diversity have never been explored. We present the first analysis of the differenc...

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Detalles Bibliográficos
Autores principales: Dececchi, T. Alex, Mabee, Paula M., Blackburn, David C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4871461/
https://www.ncbi.nlm.nih.gov/pubmed/27191170
http://dx.doi.org/10.1371/journal.pone.0155680
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author Dececchi, T. Alex
Mabee, Paula M.
Blackburn, David C.
author_facet Dececchi, T. Alex
Mabee, Paula M.
Blackburn, David C.
author_sort Dececchi, T. Alex
collection PubMed
description Databases of organismal traits that aggregate information from one or multiple sources can be leveraged for large-scale analyses in biology. Yet the differences among these data streams and how well they capture trait diversity have never been explored. We present the first analysis of the differences between phenotypes captured in free text of descriptive publications (‘monographs’) and those used in phylogenetic analyses (‘matrices’). We focus our analysis on osteological phenotypes of the limbs of four extinct vertebrate taxa critical to our understanding of the fin-to-limb transition. We find that there is low overlap between the anatomical entities used in these two sources of phenotype data, indicating that phenotypes represented in matrices are not simply a subset of those found in monographic descriptions. Perhaps as expected, compared to characters found in matrices, phenotypes in monographs tend to emphasize descriptive and positional morphology, be somewhat more complex, and relate to fewer additional taxa. While based on a small set of focal taxa, these qualitative and quantitative data suggest that either source of phenotypes alone will result in incomplete knowledge of variation for a given taxon. As a broader community develops to use and expand databases characterizing organismal trait diversity, it is important to recognize the limitations of the data sources and develop strategies to more fully characterize variation both within species and across the tree of life.
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spelling pubmed-48714612016-05-31 Data Sources for Trait Databases: Comparing the Phenomic Content of Monographs and Evolutionary Matrices Dececchi, T. Alex Mabee, Paula M. Blackburn, David C. PLoS One Research Article Databases of organismal traits that aggregate information from one or multiple sources can be leveraged for large-scale analyses in biology. Yet the differences among these data streams and how well they capture trait diversity have never been explored. We present the first analysis of the differences between phenotypes captured in free text of descriptive publications (‘monographs’) and those used in phylogenetic analyses (‘matrices’). We focus our analysis on osteological phenotypes of the limbs of four extinct vertebrate taxa critical to our understanding of the fin-to-limb transition. We find that there is low overlap between the anatomical entities used in these two sources of phenotype data, indicating that phenotypes represented in matrices are not simply a subset of those found in monographic descriptions. Perhaps as expected, compared to characters found in matrices, phenotypes in monographs tend to emphasize descriptive and positional morphology, be somewhat more complex, and relate to fewer additional taxa. While based on a small set of focal taxa, these qualitative and quantitative data suggest that either source of phenotypes alone will result in incomplete knowledge of variation for a given taxon. As a broader community develops to use and expand databases characterizing organismal trait diversity, it is important to recognize the limitations of the data sources and develop strategies to more fully characterize variation both within species and across the tree of life. Public Library of Science 2016-05-18 /pmc/articles/PMC4871461/ /pubmed/27191170 http://dx.doi.org/10.1371/journal.pone.0155680 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Dececchi, T. Alex
Mabee, Paula M.
Blackburn, David C.
Data Sources for Trait Databases: Comparing the Phenomic Content of Monographs and Evolutionary Matrices
title Data Sources for Trait Databases: Comparing the Phenomic Content of Monographs and Evolutionary Matrices
title_full Data Sources for Trait Databases: Comparing the Phenomic Content of Monographs and Evolutionary Matrices
title_fullStr Data Sources for Trait Databases: Comparing the Phenomic Content of Monographs and Evolutionary Matrices
title_full_unstemmed Data Sources for Trait Databases: Comparing the Phenomic Content of Monographs and Evolutionary Matrices
title_short Data Sources for Trait Databases: Comparing the Phenomic Content of Monographs and Evolutionary Matrices
title_sort data sources for trait databases: comparing the phenomic content of monographs and evolutionary matrices
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4871461/
https://www.ncbi.nlm.nih.gov/pubmed/27191170
http://dx.doi.org/10.1371/journal.pone.0155680
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