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Abstract Detail



Phylogenomics

Vatanparast, Mohammad [1], Egan, Ashley [2].

Target-enrichment phylogenomics improves the resolution of legume lineages at generic, tribal, and subfamily levels.

Leguminosae is the third largest family of flowering plants and the second most prominent family in economic value, yet our understanding of legume evolutionary history is still incomplete. A recent, pivotal study used the chloroplast matK gene to estimate family and lower level relationships by sampling nearly 700 genera and ca. 3700 accessions, resulting in the introduction of a new subfamily level classification. However, resolution among subfamily-based clades and other internal, tribal-based clades remained unclear or poorly resolved. Using recently developed target-enrichment baits, we employed hundreds of nuclear and chloroplast loci sampled across the family to address resolution problems at some of these recalcitrant nodes within the legume family tree. We sampled more than 250 species within the Leguminosae, covering representatives from six subfamilies and 35 tribes emphasizing the phaseoloid and millettioid legumes, which represent the highest generic diversity in the family. Our results confirm the monophyly of the six-subfamily classification proposed based on matK and resolve relationships among them as well as address issues among early branching lineages of the phaseoloid and millettioid tribes, among others. Our phylogeny largely improves the backbone of the legume family tree and confirms the power of target-enrichment approach to build statistically consistent species trees, nevertheless, gene tree discordance is inevitable.


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1 - University of Copenhagen, Department of Geosciences and Natural Resource Management, Rolighedsvej 23, 1958 Frederiksberg C, Copenhagen, Denmark
2 - 11114 Orleans Way, Kensington, MD, 20895, United States

Keywords:
Sequence capture
Hyb-Seq
Fabaceae
Systematics.

Presentation Type: Oral Paper
Session: 36, Phylogenomics III
Location: 107/Mayo Civic Center
Date: Wednesday, July 25th, 2018
Time: 10:45 AM
Number: 36010
Abstract ID:850
Candidate for Awards:None


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