Abstract Detail


Fabre, Paige [1], Brokaw, Joshua [2], Hufford, Larry [3], Johnson, Matt [4], Schenk, John [1].

Phylogenomics of Mentzelia (Loasaceae) using Angiosperms-353 target-capture.

Macroevolutionary inferences gain power when based on resolved and well supported phylogenies. Genomic data can offer advantages compared to other forms of data in the construction of phylogenies. Cytonuclear discordance, low sequence divergence, and cryptic morphological changes have hampered phylogeny reconstruction in Mentzelia (Loasaceae), a genus of approximately 100 New World species that have undergone rapid and recent diversification. We implemented a target-capture approach with the Angiosperms-353 bait set to infer species relationships of the six monophyletic sections of Mentzelia. Maximum likelihood gene trees were constructed in 1,000 bootstrap replicates and compiled into a species tree using Astral III. The chloroplast genome was also sequenced with genome skimming, and a phylogeny was reconstructed with maximum likelihood. Resulting trees recovered sectional relationships consistent with previous studies but found more strongly supported clades within the sections. Relationships in section Bartonia, which have been notably difficult to infer, were resolved in strongly supported clades. We discuss the relationships among and within sections, and compare phylogenies reconstructed with the Angiosperms-353 bait set to those inferred with chloroplast genomes.

1 - Ohio University, Department Of Environmental And Plant Biology, 22 Richland Ave., 401 Porter Hall, Athens, OH, 45701, United States
2 - Abilene Christian University, Biology Dept, ACU Box 27868, Abilene, TX, 79699, United States
3 - Washington State University, School Of Biological Sciences, Pullman, WA, 99164, United States
4 - Texas Tech University, Biological Sciences, 2901 Main Street, Ms3131, Lubbock, TX, 79409, United States

hybrid enrichment
genome skimming
genome sequencing

Presentation Type: Poster
Number: PSY006
Abstract ID:613
Candidate for Awards:None

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