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NIMBioS Tuesday Seminar Series

In conjunction with the interdisciplinary activities of the National Institute for Mathematical and Biological Synthesis (NIMBioS), a seminar series will be hosted at NIMBioS every other Tuesday at 3:30 p.m. in the NIMBioS Lecture Hall on the 4th floor of 1534 White Ave., Suite 400 Seminar speakers will focus on their research initiatives at the interface of mathematics and many areas of the life sciences. Light refreshments will be served starting at 3 p.m.

J. Degnan photo. Time/Date/Location: 3:30 pm, Tuesday, April 10, NIMBioS Lecture Hall, 1534 White Ave., Suite 400

Speaker: James Degnan, Dept. of Mathematics and Statistics Univ. of Canterbury; NIMBioS Sabbatical Visitor

Topic: Modeling hybridization: Gene trees in species networks

Abstract: Over the last few years, many methods have been developed to infer species relationships (species trees) from trees inferred from molecular data (gene trees). Several of these methods assume a particular model, called the multispecies coalescent, which typically assumes that all incongruence between gene trees and species trees is due to incomplete sorting, in which the most recent common ancestor of two gene copies is more ancient than their most recent ancestral population. As species tree methods mature, it is becoming possible to simultaneously model other sources of incongruence as well, such as hybridization and gene duplication. Although closely related species are likely to have incomplete lineage sorting as a source of incongruence, some groups, such as plants, fish, and insects, are particularly likely to experience hybridization as well. I will report on some recent efforts to model gene tree probabilities when species relationships are not tree-like due to hybridization and discuss some open problems in this area.

*Join us for refreshments in the NIMBioS Lobby on the 4th floor at 3 pm.

Seminar Flyer (pdf)

J. Degnan photo.

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NIMBioS is supported by the National Science Foundation through NSF Award #DBI-1300426, with additional support from The University of Tennessee, Knoxville. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
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