Evolutionary Quantitative Genetics
Topic: Evolutionary quantitative genetics
Meeting dates: August 4-9, 2014
Location: NIMBioS at the University of Tennessee, Knoxville
Objectives: This workshop reviewed the basics of theory in the field of evolutionary quantitative genetics and its connections to evolution observed at various time scales. Quantitative genetics deals with the inheritance of measurements of traits that are affected by many genes. Quantitative genetic theory for natural populations was developed considerably in the period from 1970 to 1990 and up to the present, and it has been applied to a wide range of phenomena including the evolution of differences between the sexes, sexual preferences, life history traits, plasticity of traits, as well as the evolution of body size and other morphological measurements. Textbooks have not kept pace with these developments, and currently few universities offer courses in this subject aimed at evolutionary biologists. There is a need for evolutionary biologists to understand this field because of the ability to collect large amounts of data by computer, the development of statistical methods for changes of traits on evolutionary trees and for changes in a single species through time, and the realization that quantitative characters will not soon be fully explained by genomics. This workshop aimed to fill this need by reviewing basic aspects of theory and illustrating how that theory can be tested with data. Participants learned to use R, an open-source statistical programming language, to build and test evolutionary models. Participants for this workshop were graduate students, postdocs, and junior faculty members in evolutionary biology.
Marguerite Butler , Univ. Hawaii, Manoa
Patrick Carter, Evolutionary Physiology, Washington State Univ., Pullman
Paul Hohenlohe, Univ. of Idaho, Moscow
Adam Jones, Biology, Texas A&M Univ.
Brian O'Meara, Ecology & Evolutionary Biology, Univ. of Tennessee
Liam Revell, Biology, Univ. of Massachusetts, Boston
Josef Uyeda, Biological Sciences, Univ. of Idaho, Moscow
The content of this tutorial was similar to a workshop held at NESCent in 2013. For more information about that workshop, click here.
Summary Report. TBA
Evaluation report (PDF)
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