Motoo Kimura, as founder of the neutral theory, is uniquely placed to write this book. He first proposed the theory in 1968 to explain the unexpectedly high rate of evolutionary change and very large amount of intraspecific variability at the molecular level that had been uncovered by new techniques in molecular biology. The theory - which asserts that the great majority of evolutionary changes at the molecular level are caused not by Darwinian selection but by random drift of selectively neutral mutants - has caused controversy ever since. This book is the first comprehensive treatment of this subject and the author synthesises a wealth of material - ranging from a historical perspective, through recent molecular discoveries, to sophisticated mathematical arguments - all presented in a most lucid manner.

This book is the first comprehensive treatment of this subject.

One of this century's leading evolutionary biologists, Motoo Kimura revolutionized the field with his random drift theory of molecular evolution—the neutral theory—and his groundbreaking theoretical work in population genetics. This volume collects 57 of Kimura's most important papers and covers forty years of his diverse and original contributions to our understanding of how genetic variation affects evolutionary change. Kimura's neutral theory, first presented in 1968, challenged the notion that natural selection was the sole directive force in evolution. Arguing that mutations and random drift account for variations at the level of DNA and amino acids, Kimura advanced a theory of evolutionary change that was strongly challenged at first and that eventually earned the respect and interest of evolutionary biologists throughout the world. This volume includes the seminal papers on the neutral theory, as well as many others that cover such topics as population structure, variable selection intensity, the genetics of quantitative characters, inbreeding systems, and reversibility of changes by random drift. Background essays by Naoyuki Takahata examine Kimura's work in relation to its effects and recent developments in each area.

This book, written by Motoo Kimura (1924–94), is a classic in evolutionary biology. In 1968, Kimura proposed the “neutral theory of molecular evolution”, which became the theoretical basis of modern evolutionary studies. After publishing his work in 1983 in the book “Neutral Theory of Molecular Evolution”, Kimura wrote this book in 1988 for the general public. It was originally written in Japanese and is translated here for the first time. In the book, Kimura first summarizes the development of evolutionary theory since Lamarck and Darwin. He then shows how the search for mechanisms of evolution developed into population genetics and describes how the study of molecular evolution matured by taking in the fruits of molecular biology. Kimura proceeds to carefully explain his neutral evolution theory at the molecular level. Finally, he presents his view of the world from an evolutionary perspective. The book has long served as an in-depth introduction to evolutionary biology for students and young researchers in Japan. There has been remarkably rapid progress in the field of bioscience at the molecular level over the past 30 years. Nevertheless, the book remains an important contribution that laid the foundations for what followed in molecular evolutionary studies.

This work provides a unified theory that addresses the important problem of the origin and maintenance of genetic variation in natural populations. With modern molecular techniques, variation is found in all species, sometimes at astonishingly high levels. Yet, despite these observations, the forces that maintain variation within and between species have been difficult subjects of study. Because they act very weakly and operate over vast time scales, scientists must rely on indirect inferences and speculative mathematical models. However, despite these obstacles, many advances have been made. The author's research in molecular genetics, evolution, and bio-mathematics has enabled him to draw on this work, and present a coherent and valuable view of the field. The book is divided into three parts. The first consists of three chapters on protein evolution, DNA evolution, and molecular mechanisms. This section reviews the experimental observations on genetic variation. The second part gives a unified treatment of the mathematical theory of selection in a fluctuating environment. The final two chapters combine the earlier assessments in a treatment of the scientific status of two competing theories for the maintenance of genetic variation. Steeped in the enormous advances population genetics has made over the past 25 years, this book has proven highly popular among human geneticists, biologists, evolutionary theorists, and bio-mathematicians.

Bioinformatics for Beginners: Genes, Genomes, Molecular Evolution, Databases and Analytical Tools provides a coherent and friendly treatment of bioinformatics for any student or scientist within biology who has not routinely performed bioinformatic analysis. The book discusses the relevant principles needed to understand the theoretical underpinnings of bioinformatic analysis and demonstrates, with examples, targeted analysis using freely available web-based software and publicly available databases. Eschewing non-essential information, the work focuses on principles and hands-on analysis, also pointing to further study options. Avoids non-essential coverage, yet fully describes the field for beginners Explains the molecular basis of evolution to place bioinformatic analysis in biological context Provides useful links to the vast resource of publicly available bioinformatic databases and analysis tools Contains over 100 figures that aid in concept discovery and illustration

This book presents and explains modern statistical methods and computational algorithms for the comparative analysis of genetic sequence data in the fields of molecular evolution, molecular phylogenetics, statistical phylogeography, and comparative genomics. The book offers numerous examples of real data analysis and numerical calculations to illustrate the theory, in addition to the working problems at the end of each chapter. The coverage of maximum likelihood and Bayesian methods are in particular up-to-date, comprehensive, and authoritative.