Recent computational and modeling advances have produced methods for estimating species trees directly, avoiding the problems and limitations of the traditional phylogenetic paradigm where an estimated gene tree is equated with the history of species divergence. The overarching goal of the volume is to increase the visibility and use of these new methods by the entire phylogenetic community by specifically addressing several challenges: (i) firm understanding of the theoretical underpinnings of the methodology, (ii) empirical examples demonstrating the utility of the methodology as well as its limitations, and (iii) attention to technical aspects involved in the actual software implementation of the methodology. As such, this volume will not only be poised to become the quintessential guide to training the next generation of researchers, but it will also be instrumental in ushering in a new phylogenetic paradigm for the 21st century.
A propos de l’auteur
L. Lacey Knowles, Ph.D., is an Associate Professor/Associate
Curator for the Museum of Zoology at the University of Michigan.
Her research areas include speciation, sexual selection,
phylogeography, and evolutionary radiations. Dr. Knowles was
recently awarded a three-year grant by The National Science
Foundation, titled ‘Population genetics of species delimitation:
Methodology and application of a unified approach to inferring
species boundaries.’
Laura S. Kubatko, Ph.D., is an Associate Professor in the
Departments of Statistics and Evolution, Ecology, and Organismal
Biology. Her research interests are in statistical genetics,
including the estimation of phylogenetic trees from nucleotide
sequence data, linkage and QTL analysis, and the analysis of
microarray data. She recently became an Associate Editor for the
journal Systematic Biology, and was also elected to the Council for
the Society of Systematic Biology beginning in 2008.
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