Partially incorrect fossil data augment analyses of discrete trait evolution in living species

Mark N Puttick

Research output: Contribution to journalArticle (Academic Journal)

7 Citations (Scopus)
232 Downloads (Pure)

Abstract

Ancestral state reconstruction of discrete character traits is often vital when attempting to understand the origins and homology of traits in living species. The addition of fossils has been shown to alter our understanding of trait evolution in extant taxa, but researchers may avoid using fossils alongside extant species if only few are known, or if the designation of the trait of interest is uncertain. Here, I investigate the impacts of fossils and incorrectly-coded fossils in the ancestral state reconstruction of discrete morphological characters under a likelihood model. Under simulated phylogenies and data, likelihood-based models are generally accurate when estimating ancestral node values. Analyses with combined fossil and extant data always out-perform analyses with extant species alone, even when around one quarter of the fossil information is incorrect. These results are especially pronounced when model assumptions are violated, such as when there is a trend away from the root value. Fossil data are of particular importance when attempting to estimate the root node character state. Attempts should be made to include fossils in analysis of discrete traits under likelihood, even if there is uncertainty in the fossil trait data.
Original languageEnglish
Article number 20160392
Number of pages5
JournalBiology Letters
Volume12
Issue number8
DOIs
Publication statusPublished - 2 Aug 2016

Keywords

  • ancestral states
  • fossils
  • discrete characters
  • phylogeny

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