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Assessing bayesian phylogenetic information content of morphological data using knowledge from anatomy ontologies

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DataONE2024-04-29 更新2025-08-02 收录
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Morphology remains a primary source of phylogenetic information for many groups of organisms, and the only one for most fossil taxa. Organismal anatomy is not a collection of randomly assembled and independent ‘parts’, but instead a set of dependent and hierarchically nested entities resulting from ontogeny and phylogeny. How do we make sense of these dependent and at times redundant characters? One promising approach is using ontologies—structured controlled vocabularies that summarize knowledge about different properties of anatomical entities, including developmental and structural dependencies. Here we assess whether the proximity of ontology-annotated characters within an ontology predicts evolutionary patterns. To do so, we measure phylogenetic information across characters and evaluate if it is hierarchically structured by ontological knowledge—in much the same way as phylogeny structures across-species diversity. We implement an approach to evaluate the Bayesian phylogenetic inf..., , , # Data from: Assessing Bayesian Phylogenetic Information Content of Morphological Data Using Knowledge From Anatomy Ontologies [Access this dataset on Dryad](https://doi.org/10.5061/dryad.vdncjsxwt) This dataset contains the Supplemental Material and all files to reproduce the empirical analyses from [Porto et al. (2022)](https://doi.org/10.1093/sysbio/syac022) In summary, the empirical analyses consisted of applying the newly developed ontobayes approach, as described in Porto et al. (2022), to three morphological datasets, as detailed below. ## Description of the data and file structure 1\. BEE.zip: This zipped folder contains the R scripts and data files used in the analyses of the BEE dataset. The BEE dataset consists of 209 morphological phylogenetic characters coded for 10 species of corbiculate bees and related taxa (Hexapoda: Hymenoptera: Apidae) modified from [Porto et al. (2021)](https://doi.org/10.1093/sysbio/syaa059). The phylogenetic characters were annotated with term...
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2025-07-30
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