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Early cephalopod evolution clarified through Bayesian phylogenetic inference.

Alexander PohleBjörn KrögerRachel C M WarnockAndy H KingDavid H EvansMartina AubrechtováMarcela CichowolskiXiang FangChristian Klug
Published in: BMC biology (2022)
Our results provide important insights into the earliest evolution of cephalopods and clarify evolutionary pathways. We provide a classification scheme that is based on a robust phylogenetic analysis. Moreover, we provide some general insights on the application of Bayesian phylogenetic inference on morphological datasets. We support earlier findings that quartet similarity metrics should be preferred over the Robinson-Foulds distance when higher-level phylogenetic relationships are of interest and propose that using a posteriori pruned maximum clade credibility trees help in assessing support for phylogenetic relationships among a set of relevant taxa, because they provide clade support values that better reflect the phylogenetic signal.
Keyphrases
  • single cell
  • machine learning
  • genome wide
  • dna methylation