RNA interference (RNAi) has the potential to make major contributions towards sustainable crop production and protection with minimal environmental impacts compared to other technologies. RNAi is being developed and exploited both within plants (i.e. host-induced gene silencing, HIGS) and/or as topical applications (e.g. spray-induced gene silencing, SIGS) for targeting pest and pathogen genes and for manipulating endogenous gene expression in plants. Chapters by international experts review current knowledge on RNAi, methods for developing RNAi systems in GM plants and applications for crop improvement, crop production and crop protection. Chapters examine both endogenous systems in GM plants and exogenous systems where interfering RNAs are applied to target plants, pests and pathogens. The biosafety of these different systems is examined and methods for risk assessment for food, feed and environmental safety are discussed. Finally, aspects of the regulation of technologies exploiting RNAi and the socio-economic impacts of RNAi technologies are discussed.

Richly illustrated in color, Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition provides a clear and rigorous description of powerful analysis techniques and algorithms for mining and interpreting biological information. Omitting tedious details, heavy formalisms, and cryptic notations, the text takes a hands-on, example-based approach that teaches students the basics of R and microarray technology as well as how to choose and apply the proper data analysis tool to specific problems. New to the Second EditionCompletely updated and double the size of its predecessor, this timely second edition replaces the commercial software with the open source R and Bioconductor environments. Fourteen new chapters cover such topics as the basic mechanisms of the cell, reliability and reproducibility issues in DNA microarrays, basic statistics and linear models in R, experiment design, multiple comparisons, quality control, data pre-processing and normalization, Gene Ontology analysis, pathway analysis, and machine learning techniques. Methods are illustrated with toy examples and real data and the R code for all routines is available on an accompanying downloadable resource. With all the necessary prerequisites included, this best-selling book guides students from very basic notions to advanced analysis techniques in R and Bioconductor. The first half of the text presents an overview of microarrays and the statistical elements that form the building blocks of any data analysis. The second half introduces the techniques most commonly used in the analysis of microarray data.

Our ever-increasing knowledge of whole genome sequences is unveiling a variety of structures and mechanisms that impinge on current evolutionary theory. The origin of species, the evolution of form, and the evolutionary impact of transposable elements are just a few of the many processes that have been revolutionized by ongoing genome studies. These novelties, among others, are examined in this book in relation to their general significance for evolution, emphasising their human relevance. The predominance of non-coding DNA in the human genome, the long-term adaptive role of so called "junk DNA" in the evolution of new functions, and the key evolutionary differences that define our humanity are just some of the controversial issues that this book examines in the context of Darwinian evolution. The author's principle intention is to show that whilst genomics is revealing new and previously unanticipated mechanisms and sources of variability that must be incorporated into evolutionary theory, there is no reason to dismiss the role of natural selection as the mechanism that sorts out these potentialities. In other words, this genome potential provides new possibilities (and also constraints) for evolution, but the realization of this potential is driven by natural selection.

Evolution is one of the most important processes in life. It not only explains the detailed history of life on earth, but its scope also extends into many aspects of our own contemporary behavior-who we are and how we got to be here, our psychology, our cultures-and greatly impacts modern advancements in medicine and conservation biology. Perhaps its most important claim for science is its ability to provide an overarching framework that integrates the many life sciences into a single unified whole. Yet, evolution-evolutionary biology in particular-has been, and continues to be, regarded with suspicion by many. Understanding how and why evolution works, and what it can tell us, is perhaps the single most important contribution to the public perception of science. This book provides an overview of the basic theory and showcases how widely its consequences reverberate across the life sciences, the social sciences and even the humanities. In this book, Robin Dunbar uses examples drawn from plant life, animals and humans to illustrate these processes. Evolutionary science has important advantages. Most of science deals with the microscopic world that we cannot see and invariably have difficulty understanding, but evolution deals with the macro-world in which we live and move. That invariably makes it much easier for the lay audience to appreciate, understand and enjoy. Evolution: What Everyone Needs to Know (R) takes a broad approach to evolution, dealing both with the core theory itself and its impact on different aspects of the world we live in, from the iconic debates of the nineteenth century, to viruses and superbugs, to human evolution and behavior.

In Managing Health in the Genomic Era: A Guide to Family Health History and Disease Risk, Drs. Vincent C. Henrich, Lori A. Orlando, and Brian H. Shirts discuss the practical considerations surrounding the use of genomic and genetic tests to manage patient health, to provide adult disease risk assessment, to improve diagnosis, and to support effective interventions and treatment. In 10 chapters, evidence-based information and case studies are described and examine the central place of family health history (FHH) in genomic medicine, tools and strategies for compiling and analyzing family health history, how to identify existing and novel genetic markers, how to identify lineage specific (or rare) variants within families, and how to find effective interventions based on genetic testing results and FHH. Factors that influence clinical practice, including gene-environment interactions, FHH social networking, direct to consumer (DTC) genetic testing and data sharing, algorithms for analyzing genetic data, and patient counseling are discussed from the standpoint of clinical practice. Here, frontline healthcare providers will discover succinct commentary and key examples to assist with their local needs. Relevant principles of genetic biology and inheritance are explored and guidance on available support networks and online resources is also provided.

This meticulous book explores the leading methodologies, techniques, and tools for microarray data analysis, given the difficulty of harnessing the enormous amount of data. The book includes examples and code in R, requiring only an introductory computer science understanding, and the structure and the presentation of the chapters make it suitable for use in bioinformatics courses. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of key detail and expert implementation advice that ensures successful results and reproducibility. Authoritative and practical, Microarray Data Analysis is an ideal guide for students or researchers who need to learn the main research topics and practitioners who continue to work with microarray datasets.

This book adopts an experimental approach to understanding the mechanisms of evolution and the nature of evolutionary processes, with examples drawn from microbial, plant and animal systems. It incorporates insights from remarkable recent advances in theoretical modeling, and the fields of molecular genetics and environmental genomics.
Adaptation is caused by selection continually winnowing the genetic variation created by mutation. In the last decade, our knowledge of how selection operates on populations in the field and in the laboratory has increased enormously, and the principal aim of this book is to provide an up-to-date account of selection as the principal agent of evolution. In the classical Fisherian model, weak selection acting on many genes of small effect over long periods of time is responsible for driving slow and gradual change. However, it is now clear that adaptation in laboratory populations often involves strong selection acting on a few genes of large effect, while in the wild selection is often strong and highly variable in space and time. Indeed these results are changing our perception of how evolutionary change takes place. This book summarizes our current understanding of the causes and consequences of selection, with an emphasis on quantitative and experimental studies. It includes the latest research into experimental evolution, natural selection in the wild, artificial selection, selfish genetic elements, selection in social contexts, sexual selection, and speciation.
Selection: The Mechanism of Evolution is an advanced textbook suitable for senior undergraduate and graduate students taking courses in evolutionary biology, ecology, populationgenetics, and experimental evolution. It will also be a valuable reference tool for those professional researchers in these fields requiring an authoritative and up-to-date overview of the topic, as well as providing an accessible treatment of evolutionary mechanisms for molecular and cellular biologists.

Due to its data handling and modeling capabilities as well as its flexibility, R is becoming the most widely used software in bioinformatics. R Programming for Bioinformatics explores the programming skills needed to use this software tool for the solution of bioinformatics and computational biology problems. Drawing on the author's first-hand experiences as an expert in R, the book begins with coverage on the general properties of the R language, several unique programming aspects of R, and object-oriented programming in R. It presents methods for data input and output as well as database interactions. The author also examines different facets of string handling and manipulations, discusses the interfacing of R with other languages, and describes how to write software packages. He concludes with a discussion on the debugging and profiling of R code. With numerous examples and exercises, this practical guide focuses on developing R programming skills in order to tackle problems encountered in bioinformatics and computational biology.

Macromolecular Crystallography is the study of macromolecules (proteins and nucleic acids) using X-ray crystallographic techniques in order to determine their molecular structure. The knowledge of accurate molecular structures is a pre-requisite for rational drug design, and for structure-based function studies to aid the development of effective therapeutic agents and drugs. The successful determination of the complete genome (genetic sequence) of several species (including humans) has recently directed scientific attention towards identifying the structure and function of the complete complement of proteins that make up that species; a new and rapidly growing field of study called 'structural genomics'. There are now several important and well-funded global initiatives in operation to identify all of the proteins of key model species. One of the main requirements for these initiatives is a high-throughput crystallization facility to speed-up the protein identification process. The extent to which these technologies have advanced, calls for an updated review of current crystallographic theory and practice. This practical reference book features the latest conventional and high-throughput methods, and includes contributions from a team of internationally recognized leaders and experts. It will be of relevance and use to graduate students, research scientists and professionals currently working in the field of conventional and high-throughput macromolecular crystallography.

The broad arc of islands north of Australia that extends from Indonesia east towards the central Pacific is home to a set of human populations whose concentration of diversity is unequaled elsewhere. Approximately 20% of the worlds languages are spoken here, and the biological and genetic heterogeneity among the groups is extraordinary. Anthropologist W.W. Howells once declared diversity in the region so Protean as to defy analysis. However, this book can now claim considerable success in describing and understanding the origins of the genetic and linguistic variation there. In order to cut through this biological knot, the authors have applied a comprehensive battery of genetic analyses to an intensively sampled set of populations, and have subjected these and complementary linguistic data to a variety of phylogenetic analyses. This has revealed a number of heretofore unknown ancient Pleistocene genetic variants that are only found in these island populations, and has also identified the genetic footprints of more recent migrants from Southeast Asia who were the ancestors of the Polynesians. The book lays out the very complex structure of the variation within and among the islands in this relatively small region, and a number of explanatory models are tested to see which best account for the observed pattern of genetic variation here. The results suggest that a number of commonly used models of evolutionary divergence are overly simple in their assumptions, and that often human diversity has accumulated in very complex ways.

This book is open access under a CC BY 4.0 license This open access book brings together the latest genome base prediction models currently being used by statisticians, breeders and data scientists. It provides an accessible way to understand the theory behind each statistical learning tool, the required pre-processing, the basics of model building, how to train statistical learning methods, the basic R scripts needed to implement each statistical learning tool, and the output of each tool. To do so, for each tool the book provides background theory, some elements of the R statistical software for its implementation, the conceptual underpinnings, and at least two illustrative examples with data from real-world genomic selection experiments. Lastly, worked-out examples help readers check their own comprehension.The book will greatly appeal to readers in plant (and animal) breeding, geneticists and statisticians, as it provides in a very accessible way the necessary theory, the appropriate R code, and illustrative examples for a complete understanding of each statistical learning tool. In addition, it weighs the advantages and disadvantages of each tool.

As our ability to acquire massive amounts of information about genome variation accelerates it is becoming increasingly clear that to make maximum use of this information we also need well-structured, systematic data on the phenotypic consequences of genomic changes. Phenomics is the new discipline of using standardized measurement techniques to characterize the phenotypic effects of random or systematic genome modifications (for example randomly generated mutations or systematic gene knockouts). This approach is now being used in an increasing range of species and systems. In this book, experts working in phenomics in most of the major species and systems that are currently being studied present overviews of the field from their different, but overlapping perspectives.

A collection of outspoken and topical essays, speeches, and reports by J. D. Watson, co-discoverer of the structure of DNA in 1953 and best-selling author of The Double Helix. These often controversial pieces cover the advance of molecular genetics, the prospect of curing cancer over the next decade, how human genetic knowledge is likely to be used, for good or bad, and Watson's early life and career.

The human genome is a linear sequence of roughly 3 billion bases and information regarding this genome is accumulating at an astonishing rate. Inspired by these advances, The Human Genome in Health and Disease: A Story of Four Letters explores the intimate link between sequence information and biological function. A range of sequence-based functional units of the genome are discussed and illustrated with inherited disorders and cancer. In addition, the book considers valuable medical applications related to human genome sequencing, such as gene therapy methods and the identification of causative mutations in rare genetic disorders. The primary audiences of the book are students of genetics, biology, medicine, molecular biology and bioinformatics. Richly illustrated with review questions provided for each chapter, the book helps students without previous studies of genetics and molecular biology. It may also be of benefit for advanced non-academics, which in the era of personal genomics, want to learn more about their genome. Key selling features: Molecular sequence perspective, explaining the relationship between DNA sequence motifs and biological function Aids in understanding the functional impact of mutations and genetic variants Material presented at basic level, making it accessible to students without previous studies of genetics and molecular biology Richly illustrated with questions provided to each chapter

With humor, depth, and philosophical and historical insight, "DNA" reaches out to a wide range of readers with its graphic portrayal of a complicated science. Suitable for use in and out of the classroom, this volume covers DNA's many marvels, from its original discovery in 1869 to early-twentieth-century debates on the mechanisms of inheritance and the deeper nature of life's evolution and variety.

Even readers who lack a background in science and philosophy will learn a tremendous amount from this engaging narrative. The book elucidates DNA's relationship to health and the cause and cure of disease. It also covers the creation of new life forms, nanomachines, and perspectives on crime detection, and considers the philosophical sources of classical Darwinian theory and recent, radical changes in the understanding of evolution itself. Already these developments have profoundly affected our notions about living things. Borin Van Loon's humorous illustrations recount the contributions of Gregor Mendel, Frederick Griffith, James Watson, and Francis Crick, among other biologists, scientists, and researchers, and vividly depict the modern controversies surrounding the Human Genome Project and cloning.

Around 250,000 people have had their genomes sequenced and scientists expect that number to rise to one billion by 2025. Steven J. Heine argues that the first thing we will do on receiving our DNA test results is to misinterpret them completely. In DNA Is Not Destiny, Heine shares his research to not only show what your genes can tell you about your health, intelligence, ethnic identity and family but also highlight the psychological biases that make us so vulnerable to the media hype. Heine's fresh, surprising conclusions about the promise, and limits, of genetic engineering and DNA testing upend conventional thinking and reveal a simple, profound truth: your genes create life-but they do not control it.

Darwin's The Origin of Species is one of the most influential books ever written. It is essential reading for anyone interested in biology, evolution, the natural world, or the history of scientific thought. However, the book can be difficult to follow. The sentences and paragraphs are lengthy, and Darwin often references people and ideas unfamiliar to contemporary readers. The Readable Darwin translates the sixth and final edition of Darwin's The Origin of Species (1872) into clear, engaging prose. Whereas the first edition of The Readable Darwin includes the first eight chapters of Darwin's book, this new edition presents all fifteen chapters of The Origin of Species and features over 100 illustrations. The Readable Darwin begins by discussing artificial selection, demonstrating that selection for new traits can indeed be made to occur, even within our lifetimes. It then presents evidence for natural selection derived from developmental traits and the geological record. Throughout, Pechenik painstakingly revises Darwin's prose. He breaks up long paragraphs, shortens and reorganizes sentences, and replaces weak verbs with strong ones. Footnotes clarify concepts, define terms, and identify the many historical figures Darwin mentions. The Origin of Species is a foundational work of scholarship in the biological sciences. It documents the remarkable diversity of life on earth and is a wonderful example of honest and logical scientific thinking. The Readable Darwin brings this groundbreaking book to life for readers of all backgrounds while remaining true to the original text.

Forensic DNA analysis plays a central role in the judicial system. A DNA sample can change the course of an investigation with immense consequences. Because DNA typing is recognized as the epitome of forensic science, increasing public awareness in this area is vital. Through several cases, examples and illustrations, this book explains the basic principles of forensic DNA typing, and how it integrates with law enforcement investigations and legal decisions. Written for a general readership, Understanding Forensic DNA explains both the power and the limitations of DNA analysis. This book dispels common misunderstandings regarding DNA analysis and shows how astounding match probabilities such as one-in-a-trillion are calculated, what they really mean, and why DNA alone never solves a case.

Forensic DNA analysis plays a central role in the judicial system. A DNA sample can change the course of an investigation with immense consequences. Because DNA typing is recognized as the epitome of forensic science, increasing public awareness in this area is vital. Through several cases, examples and illustrations, this book explains the basic principles of forensic DNA typing, and how it integrates with law enforcement investigations and legal decisions. Written for a general readership, Understanding Forensic DNA explains both the power and the limitations of DNA analysis. This book dispels common misunderstandings regarding DNA analysis and shows how astounding match probabilities such as one-in-a-trillion are calculated, what they really mean, and why DNA alone never solves a case.

Single Molecule Science (SMS) has emerged from developing, using and combining technologies such as super-resolution microscopy, atomic force microscopy, and optical and magnetic tweezers, alongside sophisticated computational and modelling techniques. This comprehensive, edited volume brings together authoritative overviews of these methods from a biological perspective, and highlights how they can be used to observe and track individual molecules and monitor molecular interactions in living cells. Pioneers in this fast-moving field cover topics such as single molecule optical maps, nanomachines, and protein folding and dynamics. A particular emphasis is also given to mapping DNA molecules for diagnostic purposes, and the study of gene expression. With numerous illustrations, this book reveals how SMS has presented us with a new way of understanding life processes. A must-have for researchers and graduate students, as well as those working in industry, primarily in the areas of biophysics, biological imaging, genomics and structural biology.

Birds catch the public imagination like no other group of animals; in addition, birders are perhaps the largest non-professional naturalist community. Genomics and associated bioinformatics have revolutionised daily life in just a few decades. At the same time, this development has facilitated the application of genomics technology to ecological and evolutionary studies, including biodiversity and conservation at all levels. This book reveals how the exciting toolbox of genomics offers new opportunities in all areas of avian biology. It presents contributions from prominent experts at the intersection of avian biology and genomics, and offers an ideal introduction to the world of genomics for students, biologists and bird enthusiasts alike. The book begins with a historical perspective on how genomic technology was adopted by bird ecology and evolution research groups. This led, as the book explains, to a revised understanding of avian evolution, with exciting consequences for biodiversity research as a whole. Lastly, these impacts are illustrated using seminal examples and the latest discoveries from avian biology laboratories around the world.

Surveying the last sixty years of research, this book describes the physical properties of DNA in the context of its biological functioning. It is designed to enable both students and researchers of molecular biology, biochemistry and physics to better understand the biophysics of DNA, addressing key questions and facilitating further research. The chapters integrate theoretical and experimental approaches, emphasising throughout the importance of a quantitative knowledge of physical properties in building and analysing models of DNA functioning. For example, the book shows how the relationship between DNA mechanical properties and the sequence specificity of DNA-protein binding can be analyzed quantitatively by using our current knowledge of the physical and structural properties of DNA. Theoretical models and experimental methods in the field are critically considered to enable the reader to engage effectively with the current scientific literature on the physical properties of DNA.

Handbook of Comparative Genomics: Principles and Methodology is a practical text for students and researchers covering basic and applied problems in the emerging field of comparative functional genomics. It offers a comparative perspective on the state of the art and key principles of genome sequencing, expression, evolution, and phylogenetics in organelles, prokaryotes, model organisms, and humans. Moreover, the Handbook provides a unique and thorough treatment of biological databases, analysis of the transcriptome and proteome, and the bioinformatic approaches for comparative genome analysis.

The text begins with an introduction to important features of completely sequenced genomes from mitochondria, C. elegans and Arabidopsis to Drosophila and humans. The next section covers cutting-edge analytic approaches involving ESTs, SAGE, DNA microarrays, protein biochips, and 2D gel electrophoresis. The following section deals comprehensively with computational approaches to comparative genome and proteome sequence analysis, including sequence assembly, pattern searching, gene and protein function prediction, and structure prediction. The text concludes with a section discussing genome evolution and molecular phylogenetics. This timely and cutting-edge text also:

• Presents both the concepts and methodology of comparative genomics
• Reviews the basic principles of genomics and gene expression analysis
• Covers the bioinformatics approaches to comparative analysis
• Discusses analytic methods in proteomics and transcriptomics
• Includes a comprehensive list of Web resources

The authors draw upon their wealth of teaching and research experience to offer a coherent presentation appropriate for students, trainees, researchers, and scientists across the life sciences.

With the first draft of the human genome project in the public domain and full analyses of model genomes now available, the subject matter of 'Principles of Genome Analysis and Genomics' is even 'hotter' now than when the first two editions were published in 1995 and 1998. In the new edition of this very practical guide to the different techniques and theory behind genomes and genome analysis, Sandy Primrose and new author Richard Twyman provide a fresh look at this topic. In the light of recent exciting advancements in the field, the authors have completely revised and rewritten many parts of the new edition with the addition of five new chapters. Aimed at upper level students, it is essential that in this extremely fast moving topic area the text is up to date and relevant.
Completely revised new edition of an established textbook.
Features new chapters and examples from exciting new research in genomics, including the human genome project.
Excellent new co-author in Richard Twyman, also co-author of the new edition of hugely popular "Principles of Gene Manipulation."
Accompanying web-page to help students deal with this difficult topic at www.blackwellpublishing.com/primrose

The concept of epigenetics has been known about since the 1940s, but it is only in the last 10 years that research has shown just how wide ranging its effects are. It is now a very widely-used term, but there is still a lot of confusion surrounding what it actually is and does. Epigenetics is a new textbook that brings together the structure and machinery of epigenetic modification, how epigenetic modification controls cellular functions, and the evidence for the relationship between epigenetics and disease. It is a valuable source of information about all aspects of the subject for undergraduate students, graduate students, and professionals.