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Abstract Detail


Crisp, Michael [1], Kulheim, Carsten [2], Toon, Alicia [3], Edwards, Robert [4], Lin, Yen-Po [5], Meuesemann, Karen [6], Bui, Minh [1], Cook, Lyn [3].

A phylogenetic analysis of the eucalypts using targeted genes.

We will present a preliminary analysis of sequence data from 101 targeted nuclear genes, plus part of the chloroplast, from about 500 samples representing most of the phylogenetic diversity across Eucalyptus, Corymbia and Angophora, plus Myrtaceae outgroups. We identified and targeted low copy exons using reciprocal blasting between the annotated genome of E. grandis, and a transcriptome and two whole-genome shotgun sequences from three Melaleuca species. We will discuss results from testing the phylogenetic informativeness of the selected loci, including conflict among gene trees (and between chloroplast and nuclear genes), and minimisation of errors due to paralogy in some loci. Missing data was also an issue, resulting in degraded resolution and clade support. Overall, strong support was found for the existing classfication of the eucalypts, with some exceptions. Implications for perianth evolution and generic classification in the eucalypts will be discussed.

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1 - The Australian National University, Research School of Biology, 46 Sullivans Creek Rd, Canberra, ACT, 2600, Australia
2 - Michigan Technological University, School of Forest Resources and Environmental Science, Houghton, MI, 49931-1295, USA
3 - The University of Queensland, School of Biological Sciences, Brisbane, QLD, 4072, Australia
4 - Smitrhsonian Institution, National Museum of Natural History, National Mall 10th St. & Constitution Ave, Washington, DC, 20560, USA
5 - The University of Queensland, School of Biological Sciences, Brisbane, QLD, 40
6 - University of Freiburg, Biology I, Evolution & Ecolog, Hauptstrasse 1, Freiburg, D-79104, Germany

perianth evolution.

Presentation Type: Oral Paper
Session: PHYL1, Phylogenomics I
Location: San Ignacio/Starr Pass
Date: Monday, July 29th, 2019
Time: 8:30 AM
Number: PHYL1003
Abstract ID:282
Candidate for Awards:None

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