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
National Research Council,Division on Engineering and Physical Sciences,Board on Mathematical Sciences and Their Applications,Committee on Mathematical Sciences Research for DOE's Computational Biology
Author: National Research Council,Division on Engineering and Physical Sciences,Board on Mathematical Sciences and Their Applications,Committee on Mathematical Sciences Research for DOE's Computational Biology
Publisher: National Academies Press
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.
Ecology and Conservation of Seasonal Wetlands in Northeastern North America
Author: Aram J. K. Calhoun,Phillip G. DeMaynadier
Publisher: CRC Press
Category: Technology & Engineering
Synthesizes Decades of Research on Vernal Pools Science Pulling together information from a broad array of sources, Science and Conservation of Vernal Pools in Northeastern North America is a guide to the issues and solutions surrounding seasonal pools. Drawing on 15 years of experience, the editors have mined published literature, personal communication from professionals working in the field, unpublished reports and data, and other sources to present the latest information and practical application of this knowledge. They synthesize decades of research on vernal pools and pool-dependent biota as a foundation for presenting the necessary tools for conserving these ecosystems. The book introduces vernal pools as a keystone ecosystem in northeastern forests of North America. This landscape approach is the common current flowing throughout the chapters. Section I reviews the physical parameters that demonstrate how vernal pools function differently from other wetland systems and where they are found in the landscape. Section II provides an overview of the diversity and natural history of their unique biota, focusing on plants, invertebrates, amphibians, and other pool-associated vertebrates. Finally, Section III synthesizes the best-available science from peer-reviewed and unpublished sources relevant to conserving vernal pools in human-dominated landscapes. The book also highlights the significant role that educators and citizens have in effecting local conservation, and in ensuring a permanent place on the landscape for seasonal wetlands. An impressive cadre of scientists contribute knowledge and expertise on how to conserve vernal pools, its species, and its flora and fauna. Acknowledging the physical and biological connections between upland and aquatic systems, the authors provide a landscape-scale approach to conservation that is equally applicable to all isolated wetlands.
Making the theory of population genetics relevant to readers, this book explains the related mathematics with a logical organization.It presents the quantitative aspects of population genetics, and employs examples of human genetics, medical evolution, human evolution, and endangered species.For an introduction to, and understanding of, population genetics.
POPULATION GENETICS IS OFTEN THOUGHT TO BE A DIFFICULT SUBJECT. To some extent, difficulties are inevitable in a field where some quite basic points are controversial. However, problems are most acute when theoretical points are discussed, despite the fact that there has been very little controversy over the mathematics. In my experience, the actual mathematical manipulations rarely cause much difficulty. Rather it is that the biologist, lacking the physicist's or chemist's experience in "reading" mathematical formulae, finds it difficult to appreciate what is happening in a mathematical treatment and to grasp the implications of the results obtained, when these are given in mathematical form. Accordingly, I have followed a procedure, which students seem to find helpful, of giving a rough-and-ready verbal treatment of a problem before attempting a much more exact mathematical treatment; when the results of the latter are not readily interpretable, I have given an elucidation. Another problem which often concerns students is the reliability of results obtained using approximate methods; I have, therefore, discussed this in fair detail in critical cases. When dealing with controversial issues, I have done my very best to be fair. To conceal one's opinions entirely would probably make for a very dull book. I trust, however, that I have given enough for the reader previously unfamiliar with these controversies to form his own judge ment.
Microbial population genetics is a rapidly advancing field of investigation with relevance to many areas of science. The subject encompasses theoretical issues, such as the origins and evolution of species, sex, and recombination. Population genetics lays the foundations for tracking the origin and evolution of antibiotic resistance and deadly infectious pathogens and is also an essential tool in the utilization of beneficial microbes. This invaluable book, written by leading researchers in the field, details the current major advances in microbial population genetics and genomics. Distinguished international scientists introduce fundamental concepts, describe genetic tools, and comprehensively review recent data from SNP surveys, whole-genome DNA sequences, and microarray hybridizations. The chapters cover broad groups of microorganisms including viruses, bacteria, archaea, fungi, protozoa, and algae. A major focus is the application of molecular tools in the study of genetic variation. Topics covered include microbial systematics, comparative microbial genomics, horizontal gene transfer, pathogenic bacteria, nitrogen-fixing bacteria, cyanobacteria, microalgae, fungi, malaria parasites, viral pathogens, and metagenomics. Microbial Population Genetics is an essential volume for everyone interested in population genetics, and it is highly recommended reading for all microbiologists.
Until recently, plant breeders have depended primarily on classical tools to develop new and improved products for producers and consumers. However, with the advent of biotechnology, breeders are increasingly incorporating molecular tools in their breeding work. In recognition of the current state of methods and their application, this text introduces both classical and molecular tools for plant breeding. Topics such as biotechnology in plant breeding, intellectual property, risks, emerging concepts (decentralized breeding, organic breeding), and more are addressed in this state of the art text. The final 8 chapters provide a useful reference on breeding the largest and most common crops. In addition, over 25 plant breeders share their professional experiences while illustrating concepts in the text. Features include: Comprehensive presentation of both classical and molecular plant breeding tools Industry highlight essays from over 25 professional plant breeders Chapter introductions, summaries and discussion questions Easy reference glossary Reference chapters on breeding 8 of the largest and most common crops Artwork from the book is available to instructors online at www.blackwellpublishing.com/acquaah. An Instructor manual CD-ROM for this title is available. Please contact our Higher Education team at [email protected] for more information.
Human Population Genetics and Genomics provides researchers/students with knowledge on population genetics and relevant statistical approaches to help them become more effective users of modern genetic, genomic and statistical tools. In-depth chapters offer thorough discussions of systems of mating, genetic drift, gene flow and subdivided populations, human population history, genotype and phenotype, detecting selection, units and targets of natural selection, adaptation to temporally and spatially variable environments, selection in age-structured populations, and genomics and society. As human genetics and genomics research often employs tools and approaches derived from population genetics, this book helps users understand the basic principles of these tools. In addition, studies often employ statistical approaches and analysis, so an understanding of basic statistical theory is also needed. Comprehensively explains the use of population genetics and genomics in medical applications and research Discusses the relevance of population genetics and genomics to major social issues, including race and the dangers of modern eugenics proposals Provides an overview of how population genetics and genomics helps us understand where we came from as a species and how we evolved into who we are now
Introductory guide to human population genetics and microevolutionary theory Providing an introduction to mathematical population genetics, Human Population Genetics gives basic background on the mechanisms of human microevolution. This text combines mathematics, biology, and anthropology and is best suited for advanced undergraduate and graduate study. Thorough and accessible, Human Population Genetics presents concepts and methods of population genetics specific to human population study, utilizing uncomplicated mathematics like high school algebra and basic concepts of probability to explain theories central to the field. By describing changes in the frequency of genetic variants from one generation to the next, this book hones in on the mathematical basis of evolutionary theory. Human Population Genetics includes: Helpful formulae for learning ease Graphs and analogies that make basic points and relate the evolutionary process to mathematical ideas Glossary terms marked in boldface within the book the first time they appear In-text citations that act as reference points for further research Exemplary case studies Topics such as Hardy-Weinberg equilibrium, inbreeding, mutation, genetic drift, natural selection, and gene flow Human Population Genetics solidifies knowledge learned in introductory biological anthropology or biology courses and makes it applicable to genetic study. NOTE: errata for the first edition can be found at the author's website: http://employees.oneonta.edu/relethjh/HPG/errata.pdf
Author: Michael T. Clegg,Max K. Hecht,Ross J. MacIntyre
Publisher: Springer Science & Business Media
After volume 33, this book series was replaced by the journal "Evolutionary Biology." Please visit www.springer.com/11692 for further information. The nature of science is to work on the boundaries between the known and the unknown. These boundaries shift as new methods are developed and as new concepts are elaborated (e.g., the theory of the gene, or more recently, the coalescence framework in population genetics). These tools allow us to address questions that were previously outside the realm of science, and, as a consequence, the boundary between the knowable and unknowable has shifted. A study of limits should reveal and clarify the boundaries and make sharper the set of questions. This book examines and analyzes these new limits as they are applied to evolutionary biology and population genetics. It does this by framing the analysis within four major classes of problems - establishing the fact of evolution; understanding the evolutionary pathways that led to today's biological world; mechanisms of evolutionary change (e.g., models of social behavior, sexual selection, macro evolution); and, finally, prediction.