With recent technological advances, vast quantities of genetic and genomic data are being generated at an ever-increasing pace. The explosion in access to data has transformed the field of evolutionary genetics. A thorough understanding of evolutionary principles is essential for making sense of this, but new skill sets are also needed to handle and analyze big data. This contemporary textbook covers all the major components of modern evolutionary genetics, carefullyexplaining fundamental processes such as mutation, natural selection, genetic drift, and speciation. It also draws on a rich literature of exciting and inspiring examples to demonstrate the diversity of evolutionary research, including an emphasis on how evolution and selection has shaped our ownspecies.Practical experience is essential for developing an understanding of how to use genetic and genomic data to analyze and interpret results in meaningful ways. In addition to the main text, a series of online tutorials using the R language serves as an introduction to programming, statistics, and analysis. Indeed the R environment stands out as an ideal all-purpose source platform to handle and analyze such data. The book and its online materials take full advantage of the authors' ownexperience in working in a post-genomic revolution world, and introduces readers to the plethora of molecular and analytical methods that have only recently become available.Evolutionary Genetics is an advanced but accessible textbook aimed principally at students of various levels (from undergraduate to postgraduate) but also for researchers looking for an updated introduction to modern evolutionary biology and genetics.
Background: I am an evolutionary biologist and often teach courses related to molecular evolution, biogeography, genomics and evolutionary biology. I have read 5-10 text books focusing on evolutionary biology, speciation, molecular evolution, population genetics.
Review: Sætre & Ravinet wrote an excellent book. It covers multiple aspects of evolutionary biology, including population genetics, phylogenetics, biogeography, genome assembly, genomics. I was most impressed by how some topics (which are hard to understand) are broken down and explained with simplified metaphores and examples. This makes it perfect to those who teach evolutionary genetics to undergraduates, but also to those (e.g. graduate students) who may want to start reading on the topic.