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Abstract Detail


Ruhfel, Brad [1], Bove, Claudia [2], Mesterházy, Attila [3], Rutishauser, Rolf [4], Philbrick, C. [5].

Inferring the phylogeny of the aquatic angiosperm family Podostemaceae using 150 plastid genomes with an emphasis on Apinagia s.s.

We present a phylogeny of the riverweed family (Podostemaceae) inferred using 150 terminals and 73 coding regions of the plastid genome. Podostemaceae is the largest strictly aquatic flowering plant family. Their distribution is cosmopolitan in the tropics, though a few species occur in temperate regions, including one species native to the eastern United States. Using a maximum likelihood approach, we analyzed newly collected plastid genome data to further resolve relationships in the family. An emphasis is placed on the currently non-monophyletic Apinagia, the largest, most morphologically complex, and taxonomically difficult genus of neotropical Podostemaceae, for which we are preparing a monograph. Resolution within the family is greatly improved compared to previous studies with most backbone relationships resolved with maximum support. Our results provide a strong basis for improving the classification of the family, which will directly aid conservation efforts. Results also have important implications for understanding morphological evolution and the biogeographic history of the family.

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1 - University Of Michigan Herbarium, Research Museums Center, 3600 Varsity Drive, Ann Arbor, MI, 48108, United States
2 - Museu Nacional, Universidade Federal do Rio de Janeiro, Departamento de Botânica, , Rio de Janeiro, Rio de Janeiro, Brazil
3 - Directorate of Hortobágy National Park, Debrecen, Hungary
4 - University of Zürich, Institute of Systematic & Evolutionary Botany, Zürich, Switzerland
5 - Western Connecticut State University, Biological & Environmental Sciences, 181 White Street, Danbury, CT, 06810, United States

plastid genome

Presentation Type: Oral Paper
Session: SYSTVI, Systematics VI: Monocots to Eurosids I
Location: Virtual/Virtual
Date: Friday, July 23rd, 2021
Time: 10:45 AM(EDT)
Number: SYSTVI004
Abstract ID:556
Candidate for Awards:None

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