Quantitative approaches to evolutionary biology traditionally consider evolutionary change in isolation from an important pressure in natural selection: the demography of coevolving populations. In Analysis of Evolutionary Processes, Fabio Dercole and Sergio Rinaldi have written the first comprehensive book on Adaptive Dynamics (AD), a quantitative modeling approach that explicitly links evolutionary changes to demographic ones. The book shows how the so-called AD canonical equation can answer questions of paramount interest in biology, engineering, and the social sciences, especially economics. After introducing the basics of evolutionary processes and classifying available modeling approaches, Dercole and Rinaldi give a detailed presentation of the derivation of the AD canonical equation, an ordinary differential equation that focuses on evolutionary processes driven by rare and small innovations. The authors then look at important features of evolutionary dynamics as viewed through the lens of AD. They present their discovery of the first chaotic evolutionary attractor, which calls into question the common view that coevolution produces exquisitely harmonious adaptations between species. And, opening up potential new lines of research by providing the first application of AD to economics, they show how AD can explain the emergence of technological variety. Analysis of Evolutionary Processes will interest anyone looking for a self-contained treatment of AD for self-study or teaching, including graduate students and researchers in mathematical and theoretical biology, applied mathematics, and theoretical economics.

Over the last two decades, research into epistasis has seen explosive growth and has moved the focus of research in evolutionary genetics from a traditional additive approach. We now know the effects of genes are rarely independent, and to reach a fuller understanding of the process of evolution we need to look at gene interactions as well as gene-environment interactions. This book is an overview of non-additive evolutionary genetics, integrating all work to date on all levels of evolutionary investigation of the importance of epistasis in the evolutionary process in general. It includes a historical perspective on this emerging field, in-depth discussion of terminology, discussions of the effects of epistasis at several different levels of biological organization and combinations of theoretical and experimental approaches to analysis.

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, carefully explaining 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 own species. 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' own experience 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.

Bringing together conceptual obstacles and core concepts of evolutionary theory, this book presents evolution as straightforward and intuitive.

This text is about the central role of evolution in shaping the nature and diversity of the living world. It describes the processes of natural selection, how adaptations arise, and how new species form, as well as summarizing the evidence for evolution

The study of religion by the humanities and social sciences has become receptive for an evolutionary perspective. Some proposals model the evolution of religion in Darwinian terms, or construct a synergy between biological and non-Darwinian processes. The results, however, have not yet become truly interdisciplinary. The biological theory of evolution in form of the Extended Evolutionary Synthesis (EES) is only sparsely represented in theories published so far by scholars of religion. Therefore this book reverses the line of view and asks how their results assort with evolutionary biology: How can the subject area “religion” integrated into behavioral biology? How is theory building affected by the asymmetry between the scarce empirical knowledge of prehistoric religion, and the body of knowledge about extant and historic religions? How does hominin evolution in general relate to the evolution of religion? Are there evolutionary pre-adaptations? Subsequent versions of evolutionary biology from the original Darwinism to EES are used in interdisciplinary constructs. Can they be integrated into a comprehensive theory? The biological concept most often used is co-evolution, in form of a gene-culture co-evolution. However, the term denotes a process different from biological co-evolution. Important EES concepts do not appear in present models of religious evolution: e.g. neutral evolution, evolutionary drift, evolutionary constraints etc. How to include them into an interdisciplinary approach? Does the cognitive science of religion (CSR) harmonize with behavioral biology and the brain sciences? Religion as part of human culture is supported by a complex, multi-level behavioral system. How can it be modeled scientifically? The book addresses graduate students and researchers concerned about the scientific study of religion, and biologist interested in interdisciplinary theory building in the field.

The theme of this volume is to discuss Eco-evolutionary Dynamics. - Updates and informs the reader on the latest research findings - Written by leading experts in the field - Highlights areas for future investigation

Ground-breaking yet non-technical analysis of the analogy that technological artefacts 'evolve' like biological organisms.

This book integrates a wide variety of data analysis methods into a single and flexible interface: the R language. The book starts with a presentation of different R packages and gives a short introduction to R for phylogeneticists unfamiliar with this language. The basic phylogenetic topics are covered. The chapter on tree drawing uses R's powerful graphical environment. A section deals with the analysis of diversification with phylogenies, one of the author's favorite research topics. The last chapter is devoted to the development of phylogenetic methods with R and interfaces with other languages (C and C++). Some exercises conclude these chapters.

What are the models used in phylogenetic analysis and what exactly is involved in Bayesian evolutionary analysis using Markov chain Monte Carlo (MCMC) methods? How can you choose and apply these models, which parameterisations and priors make sense, and how can you diagnose Bayesian MCMC when things go wrong? These are just a few of the questions answered in this comprehensive overview of Bayesian approaches to phylogenetics. This practical guide: • Addresses the theoretical aspects of the field • Advises on how to prepare and perform phylogenetic analysis • Helps with interpreting analyses and visualisation of phylogenies • Describes the software architecture • Helps developing BEAST 2.2 extensions to allow these models to be extended further. With an accompanying website providing example files and tutorials (http://beast2.org/), this one-stop reference to applying the latest phylogenetic models in BEAST 2 will provide essential guidance for all users – from those using phylogenetic tools, to computational biologists and Bayesian statisticians.