PARAMO: A Pipeline for Reconstructing Ancestral Anatomies Using Ontologies and Stochastic Mapping

Sergei Tarasov, István Mikó, Matthew Jon Yoder, Josef C. Uyeda

Research output: Contribution to journalArticlepeer-review

Abstract

Comparative phylogenetics has been largely lacking a method for reconstructing the evolution of phenotypic entities that consist of ensembles of multiple discrete traits-entire organismal anatomies or organismal body regions. In this study, we provide a new approach named PARAMO (PhylogeneticAncestralReconstruction ofAnatomy byMappingOntologies) that appropriately models anatomical dependencies and uses ontology-informed amalgamation of stochastic maps to reconstruct phenotypic evolution at different levels of anatomical hierarchy including entire phenotypes. This approach provides new opportunities for tracking phenotypic radiations and evolution of organismal anatomies.

Original languageEnglish (US)
JournalInsect Systematics and Diversity
Volume3
Issue number6
DOIs
StatePublished - Nov 1 2019

Keywords

  • anatomy
  • ancestral character state reconstruction
  • evolution
  • morphology
  • ontology
  • stochastic mapping

ASJC Scopus subject areas

  • Insect Science
  • Animal Science and Zoology
  • Ecology, Evolution, Behavior and Systematics
  • Developmental Biology

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