| Abstract Detail
Exploring the utility and limits of target enrichment methods to study polyploidy and reticulate evolution Morales-Briones, Diego [1]. Exploring the utility and limits of target enrichment methods to study polyploidy and reticulate evolution. In recent years target enrichment methods (e.g. anchored phylogenomics, exon capture, Hyb-Seq) have gained popularity and are becoming increasingly popular for collecting genetic data from hundreds of loci for plant systematics. Universal target sets (e.g. Angiosperm353) and bioinformatics tools (e.g. HybPiper) have been developed to facilitate this task. These methods have been shown to be useful to resolve phylogenetic relationships, investigating the gene family evolution, and ploidy estimation. Nonetheless, is important to explore in detail its utility and limitations to study evolutionary processes like polyploidy and reticulate evolution. Polyploidy and reticulate evolution (recent and ancient) in plants always represent a great challenge for phylogenetic reconstruction. Tight to these processes is also the detection of gene and genome duplication events. The popularity of target enrichment methods raises the question of whether the data collected with these methods are adequate to answer such questions and what are the best strategies for the experimental design and data processing when working in groups where these processes are present. In this colloquium, a diverse group of speakers will share their work dealing with target enrichment methods in groups that present challenges like (but not limited to) genome duplication and hybridization. Also, we will be presenting best practices for loci selection, data processing as well as novel bioinformatics tools.
1 - University of Minnesota, Plant and Microbial Biology, 1445 Gortner Avenue, Saint Paul, MN, 55108, USA
Keywords:
none specified
Presentation Type: Colloquium Presentations
Session: COL04, Exploring the utility and limits of target enrichment methods to study polyploidy and reticulate evolution
Location: Virtual/Virtual
Date: Tuesday, July 28th, 2020
Time: 10:00 AM
Number: COL04SUM
Abstract ID:1050
Candidate for Awards:None |
