Interpretations, extensions and comments -- Altruism and natural selection via individuals and groups -- Frequency-dependent selection and resource competition -- Rare allele advantage due to infections and self-incompatibility -- Questions -- Chapter 9 Selection on a quantitative trait -- Analysis -- Selection in quantitative genetics -- Selection in population genetics - one more time -- Notations and assumptions -- Combining the tools -- Summing up -- Interpretations, extensions and comments -- The genetic effect of selection on a quantitative trait -- The limits of selection and the nature of -- Threshold selection and disease liability -- Quantitative genetics is not suited for causal analyses -- Chapter 10 Evolutionary genetic analysis of the sex ratio -- Analysis -- Assumptions and notations -- Finding the recursion equation system -- Testing for stability -- Summing up -- Interpretations, extensions and comments -- Sex ratio selection -- An explanation of well-delimited validity -- Meiotic recombination is an evolved genetic system -- Evolutionary genetic analysis -- What's next? -- Estimates and tests in population genetics -- The mutation-selection balance -- Partial genetic isolation -- Segregation distortion and genetic conflicts -- Epilogue -- Thanks -- Glossary -- Answers -- References -- Index -- EULA
The exponentially increasing amounts of biological data along with comparable advances in computing power are making possible the construction of quantitative, predictive biological systems models. This development could revolutionize those biology-based fields of science. To assist this transformation, the U.S. Department of Energy asked the National Research Council to recommend mathematical research activities to enable more effective use of the large amounts of existing genomic information and the structural and functional genomic information being created. The resulting study is a broad, scientifically based view of the opportunities lying at the mathematical science and biology interface. The book provides a review of past successes, an examination of opportunities at the various levels of biological systemsâ€" from molecules to ecosystemsâ€"an analysis of cross-cutting themes, and a set of recommendations to advance the mathematics-biology connection that are applicable to all agencies funding research in this area.
This handbook offers guidance on selections of appropriate computational methods and software packages for specific genetic problems. Coverage strikes a balance between methodological expositions and practical guidelines for software selections. Wherever possible, comparisons among competing methods and software are made to highlight the relative advantages and disadvantage of the approaches.
Analyzes Randomness in Major Genetic Processes and Events No matter how far science advances, the proportion of what is knowable to what is random will remain unchanged, and attempts to ignore this critical threshold are futile at best. With the revolutionary explosion in genetic information discovery, it is crucially important to recognize the underlying limitations of scientific prediction in genetics. Genetics and Randomness furthers the understanding of the role randomness plays in critical biological processes. The book also navigates the complex nature of genetic uncertainty from different points of view and at various levels of biological organization. Avoids Unnecessary Technical Details and Specific Terminology Exploring areas ranging from basic quantum mechanics and molecular genetics to modern evolutionary genetics and the philosophy of mathematics, this well-organized text discusses: Spontaneity of mutations and their relation to subatomic randomness Deep links between subatomic fluctuations and long-term macroscopic changes in living organisms The multitude of random events that occur during development Segregation, genetic drift, and natural selection Randomness and uncertainty are not occasional and regretful deviations from the "true" principles upon which life is built. Genetics and Randomness illustrates the ubiquitous nature of randomness as an integral feature of all essential processes, effectively embracing a probabilistic understanding of the phenomena of life.
This book aims to make population genetics approachable, logical and easily understood. To achieve these goals, the book’s design emphasizes well explained introductions to key principles and predictions. These are augmented with case studies as well as illustrations along with introductions to classical hypotheses and debates. Pedagogical features in the text include: Interact boxes that guide readers step-by-step through computer simulations using public domain software. Math boxes that fully explain mathematical derivations. Methods boxes that give insight into the use of actual genetic data. Numerous Problem boxes are integrated into the text to reinforce concepts as they are encountered. Dedicated website at www.wiley.com/go/hamiltongenetics This text also offers a highly accessible introduction to coalescent theory, the major conceptual advance in population genetics of the last two decades.
The Fourth Edition of Genetics of Populations is the most current, comprehensive, and accessible introduction to the field for advanced undergraduate and graduate students, and researchers in genetics, evolution, conservation, and related fields. In the past several years, interest in the application of population genetics principles to new molecular data has increased greatly, and Dr. Hedrick's new edition exemplifies his commitment to keeping pace with this dynamic area of study. Reorganized to allow students to focus more sharply on key material, the Fourth Edition integrates coverage of theoretical issues with a clear presentation of experimental population genetics and empirical data. Drawing examples from both recent and classic studies, and using a variety of organisms to illustrate the vast developments of population genetics, this text provides students and researchers with the most comprehensive resource in the field.