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Embracing uncertainty: The way forward in plant fossil phylogenetics.
Coiro, Mario.
Afiliación
  • Coiro M; Department of Palaeontology, University of Vienna, Vienna, Austria.
Am J Bot ; 111(2): e16282, 2024 02.
Article en En | MEDLINE | ID: mdl-38334302
ABSTRACT
Although molecular phylogenetics remains the most widely used method of inferring the evolutionary history of living groups, the last decade has seen a renewed interest in morphological phylogenetics, mostly driven by the promises that integrating the fossil record in phylogenetic trees offers to our understanding of macroevolutionary processes and dynamics and the possibility that the inclusion of fossil taxa could lead to more accurate phylogenetic hypotheses. The plant fossil record presents some challenges to its integration in a phylogenetic framework. Phylogenies including plant fossils often retrieve uncertain relationships with low support, or lack of resolution. This low support is due to the pervasiveness of morphological convergence among plant organs and the fragmentary nature of many plant fossils, and it is often perceived as a fundamental weakness reducing the utility of plant fossils in phylogenetics. Here I discuss the importance of uncertainty in morphological phylogenetics and how we can identify important information from different patterns and types of uncertainty. I also review a set of methodologies that can allow us to understand the causes underpinning uncertainty and how these practices can help us to further our knowledge of plant fossils. I also propose that a new visual language, including the use of networks instead of trees, represents an improvement on the old visualization based on consensus trees and more adequately serves phylogeneticists working with plant fossils. This set of methods and visualization tools represents an important way forward in a fundamental field for our understanding of the evolutionary history of plants.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Evolución Biológica / Fósiles Tipo de estudio: Prognostic_studies Idioma: En Revista: Am J Bot Año: 2024 Tipo del documento: Article País de afiliación: Austria Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Evolución Biológica / Fósiles Tipo de estudio: Prognostic_studies Idioma: En Revista: Am J Bot Año: 2024 Tipo del documento: Article País de afiliación: Austria Pais de publicación: Estados Unidos