Abstract Detail

Evolutionary Developmental Biology (Evo-Devo)

Rose , Irving Jason [1], Martinez-Gomez, Jesus  [1], Specht, Chelsea [1].

Inflorescence Structure and Development in Liliales: What is the Ancestral State of the Liliales order?

Plants undergo developmental processes to produce intricate and complex structures that allow them to be biologically successful. The evolution of specialized plant reproductive structures is one such innovation. The inflorescence consists of branches, flowers, and leaves. Although inflorescences have been studied from a topological perspective, little is known about the evolution and development of the inflorescence in a phylogenetic context. The order Liliales is a well-suited group as it contains a diverse array of inflorescence structures. The aim of this study is to identify the patterns of inflorescence evolution and development across the Liliales. We will use model-based approaches to infer the ancestral form of the inflorescence for the Liliales order. This will then serve as a backdrop to investigate inflorescence development morphology in members of Liliaceae. We scored the morphological inflorescence states that are present across extant Liliales from the Botanical literature (e.g. monographs, species descriptions).  Species-level data was matched to species in the Howard et al. (2019) Monocot phylogeny for Liliales. Several models of morphological evolution were fit to the data in order to infer ancestral states using the R package CorHHM . Currently, we have both family level and genus level representation for Liliales. A preliminary ancestral state reconstruction under an equal rates model inferred that the ancestral state of Liliales is a raceme and most of the inflorescence diversity (cymes, umbels, and panicles) are derived from raceme ancestors. We discuss developmental inflorescences that may conflict with evolutionary models of morphology. This work will provide an evolutionary perspective to Liliales inflorescence classification to complement the topological perspective currently in the literature. The results of this research will help generate more accurate taxonomic descriptions and revisions for this order.

Related Links:
Github with preliminary data

1 - Cornell University, School of Integrative Plant Science and L.H. Bailey Hortorium, 502 Mann Library, Ithaca, NY, 14850, USA

ancestral state reconstruction.

Presentation Type: Poster
Session: P, Evolutionary Developmental Biology (Evo-Devo) Posters
Location: Virtual/Virtual
Date: Tuesday, July 28th, 2020
Time: 5:00 PM Time and date to be determined
Number: PEV002
Abstract ID:759
Candidate for Awards:None

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