| Abstract Detail
Phylogenomic Perspectives on Reproductive Isolation and Introgression Eaton, Deren [1]. Phylogenomic Perspectives on Reproductive Isolation and Introgression. Abstract: A growing body of genomic evidence supports the long-standing hypothesis that hybridization among plant species is relatively common, and that genomic introgression has played a significant role in shaping plant evolution. As genome-scale data sets continue to grow, the opportunity to investigate the consequences of reproductive isolation or introgression at the scale of large multi-species clades is increasingly possible. This symposium will present research on cutting-edge statistical, bioinformatic, and comparative methods for inferring introgression and/or examining its effects at the phylogenetic scale. Such analyses open the door for investigating replicated patterns, and thus for investigating the consequences of reproductive interactions on shaping plant evolution and phylogenetic inference more generally. Relevance: This symposium will present research spanning a broad range of topics that are of general interest to most attendees of the Botany Conference. Its particular novelty lies in combining a focus on cutting-edge genomic technologies and statistical inference methods with a focus on examining clade-level (i.e., phylogenetic-scale) patterns, such as morphological evolution and diversification. This is an exciting time for studies of this scope as we are only now beginning to be able to gather large enough genomic data sets to examine patterns of gene flow, reproductive divergence, isolation, and the underlying mechanisms at a phylogenetic and comparative scale. Log in to add this item to your schedule
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Keywords: network phylogeny introgression diversification reproductive isolation Horizontal Gene Transfer.
Presentation Type: Symposium Presentation Session: SYM2, Phylogenomic Perspectives on Reproductive Isolation and Introgression Location: San Ignacio/Starr Pass Date: Monday, July 29th, 2019 Time: 2:45 PM Number: SYM2SUM004 Abstract ID:25 Candidate for Awards:None |