Species Tree Inference: A Guide to Methods and Applications

Laura Kubatko, L. Lacey Knowles, Paul D. Blischak, Jeremy M. Brown, Zhen Cao, Alison Cloutier, Kerry Cobb, Alexandria A. DiGiacomo, Deren A. R. Eaton, Scott V. Edwards, Kyle A. Gallivan, Daniel J. Gates, Phil Grayson, Xinhao Liu, Patrick F. McKenzie, Siavash Mirarab, Erin Molloy, Genevieve G. Mount, Luay Nakhleh, Jamie R. Oaks, Huw A. Ogilvie, James B. Pease, Diana Pilson, Timothy B. Sackton, Stacey D. Smith, Stephen A. Smith, Claudia Solis-Lemus, David L. Swofford, Coleen E. Thompson, Emiko M

ISBN 10: 0691207607 / ISBN 13: 9780691207605

Editore: Princeton University Press 2023-03-14, 2023

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Codice articolo 6666-GRD-9780691207605

Dati bibliografici

• Titolo: Species Tree Inference: A Guide to Methods and Applications
• Editore: Princeton University Press 2023-03-14
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 0691207607
• ISBN 13: 9780691207605
• Rilegatura: Paperback
• Condizione: New

Descrizione articolo

Riassunto

An up-to-date reference book on phylogenetic methods and applications for evolutionary biologists

The increasingly widespread availability of genomic data is transforming how biologists estimate evolutionary relationships among organisms and broadening the range of questions that researchers can test in a phylogenetic framework. Species Tree Inference brings together many of today’s leading scholars in the field to provide an incisive guide to the latest practices for analyzing multilocus sequence data.

This wide-ranging and authoritative book gives detailed explanations of emerging new approaches and assesses their strengths and challenges, offering an invaluable context for gauging which procedure to apply given the types of genomic data and processes that contribute to differences in the patterns of inheritance across loci. It demonstrates how to apply these approaches using empirical studies that span a range of taxa, timeframes of diversification, and processes that cause the evolutionary history of genes across genomes to differ.

By fully embracing this genomic heterogeneity, Species Tree Inference illustrates how to address questions beyond the goal of estimating phylogenetic relationships of organisms, enabling students and researchers to pursue their own research in statistically sophisticated ways while charting new directions of scientific discovery.

Informazioni sull?autore

Laura S. Kubatko is Professor of Statistics and of Evolution, Ecology, and Organismal Biology at The Ohio State University. L. Lacey Knowles is the Robert B. Payne Collegiate Professor of Ecology and Evolutionary Biology and Curator of Insects at the University of Michigan. They are the coeditors of Estimating Species Trees: Practical and Theoretical Aspects.