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2016 ; 11
(5
): e0155680
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English Wikipedia
Data Sources for Trait Databases: Comparing the Phenomic Content of Monographs
and Evolutionary Matrices
#MMPMID27191170
Dececchi TA
; Mabee PM
; Blackburn DC
PLoS One
2016[]; 11
(5
): e0155680
PMID27191170
show ga
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.