NIMBioS Working Group: Gene Tree Reconciliation
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| (Back row, L to R): P. Gorecki, L. Liu, M. Rasmussen, G. Burleigh, D. Liberles, O. Eulenstein, J. Leebens-Mack. (Front Row, L to R): C. Ane, A. Konrad, S. Huzurbazar, B. O'Meara, T. Jhwueng |
NIMBioS Working Group: Gene Tree Reconciliation
Topic: Inferring Patterns and Processes of Gene Diversification by Reconciling Gene Trees and Species Trees
Organizers:
Gordon Burleigh (Dept. of Biology, Univ. of Florida)
Oliver Eulenstein (Dept. of Computer Science, Iowa State Univ.)
David Liberles (Dept. of Molecular Biology, Univ. of Wyoming)
Meeting dates: December 16-18, 2010; August 10-12, 2011
Project summary: The wealth of genomic data across a broad phylogenetic spectrum provides an unprecedented opportunity to address one of the fundamental questions in evolutionary biology: what are the genomic mechanisms that generate species and phenotypic diversity? Gene duplication is critical for acquiring new gene functions and, consequently, adaptive innovations. Genomic surveys have revealed tremendous variation in gene content and copy number among species, and we are now challenged to place this variation in an evolutionary context. Gene tree and species tree reconciliation provides a direct method of inferring the patterns and processes of gene duplication and loss within the context of species evolution, as well as providing a rigorous method of gene tree rooting. Evolutionary processes, such as gene duplication and loss, lateral transfer, recombination, and incomplete lineage sorting, create incongruence between the phylogenies of genes and the species in which the genes evolve. Gene tree and species tree reconciliation problems seek to infer the evolutionary events that invoked the incongruence. While inferring the evolutionary history of gene families is a major concern for evolutionary genomicists, and algorithmic problems associated with gene tree and species tree reconciliation have long interested computer scientists, the work of these groups has rarely been fully integrated. The Gene Tree Reconciliation Working Group aims to define and characterize the statistical, algorithmic, and computational problems associated with gene tree and species tree reconciliation and to apply solutions to these problems to infer patterns and processes of gene duplication and loss from large-scale comparative genomic data sets.
Meeting Summaries for NIMBioS Working Group: Gene Tree Reconciliation
| Meeting 1, December 16-18, 2010 | Agenda (PDF) | Participants | Evaluation report (PDF) |
Meeting 1 summary. The primary goal of the first meeting was to summarize the progress in the field and identify critical areas for future research. We concluded that, although there have been many recent advances in gene trees-species trees (GT-ST) reconciliation from mathematicians, statisticians, computer scientists and biologists, these areas of research have rarely been fully integrated. The group defined several tractable projects that could benefit from the combined expertise of our group. These include statistical approaches for accessing models of gene evolution, methods for incorporating uncertainty and error in GT-ST analyses, and applications of GT-ST reconciliation for inferring the quality of genome annotations and plant genome evolution.
| Meeting 2, August 10-12, 2011 | Agenda (PDF) | Participants |
Meeting 2 summary. TBA
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| (Back row, L to R): Oliver Eulenstein, Tony Jhwueng, Stefanie Hartmann, David Liberles, Gordon Burleigh; (Front, L to R): Jessica Wu, Brian O'Meara, Lars Arvestad, Snehalata Huzurbazar, Pawel Gorecki. Not pictured: Jim Leebens-Mack, Liang Liu |
NIMBioS Working Groups are chosen to focus on major scientific questions at the interface between biology and mathematics. NIMBioS is particularly interested in questions that integrate diverse fields, require synthesis at multiple scales, and/or make use of or require development of new mathematical/computational approaches. NIMBioS Working Groups are relatively small (10-12 participants), focus on a well-defined topic, and have well-defined goals and metrics of success. Working Groups will typically meet 2-4 times over a two-year period, with each meeting lasting 3-5 days; however, the number of participants, number of meetings, and duration of each meeting is flexible, depending on the needs and goals of the Group.
