The zebrafish embryo has now been well established as an organism of choice for the genetic and cell biological basis of vertebrate development. Large-scale forward genetic screens together with reverse genetic tools have resulted in a flood of new information on the regulation of vertebrate development. Furthermore, the unique transparency of the zebrafish embryo allows unprecedented access to cells and tissues and many important discoveries on gene function have already been made using live imaging techniques in this organism. This book successfully brings together state-of-the-art methodologies of live imaging, such as the use of fluorescence correlation spectroscopy (FCS), that will be useful for investigators in the field of developmental biology to address their favorite problem using cell biological approaches in the zebrafishOne of the key reasons that has made the zebrafish such a popular vertebrate model is its transparency and its potential for high-resolution cell biology and imaging. However, there is no comprehensive and up-to-date guide to the new "live imaging" tools that can now be used in the zebrafish. Furthermore, there are many new microscopy methods that have been adapted for use in zebrafish, and this book can be a good guide even for scientists already familiar with the imaging advantages of this model.

Originally published in 1983, this volume is a collection of papers by research workers active at the time. It includes reviews of special areas within the field and discussions of interactions with other behavioral sciences such as psychology, ethology, and sociobiology. Applications to medicine, psychiatry, and education are also considered. Contributors were encouraged to integrate history, present knowledge, and projections for the future. Although the book is not divided into sections there is some grouping of related chapters.

The New York Times, Boston Globe, Los Angeles Times and Indie Bound Bestseller

'Those who like to insist that blood is always thicker than water should read Inheritance, and let their own hearts slowly and gently expand.'-- The Observer

'All my life I had known there was a secret. What I hadn't known: the secret was me.'

In the spring of 2016, through a genealogy website to which she had whimsically submitted her DNA for analysis, Dani Shapiro received the stunning news that her father was not her biological father. Everything she had believed about her identity was a lie.

Shapiro's parents had died when she was in her twenties. With only a handful of figures on a webpage, Shapiro sets out to discover the truth about herself and her history.

Inheritance is a genetic detective story; a memoir that reads like a thriller. It is a book about secrets -secrets within families, kept out of shame or self-protectiveness; secrets we keep from one another in the name of love. It is a book about the extraordinary moment we live in a moment in which science and technology have outpaced not only medical ethics but also the capacities of the human heart to contend with the consequences of what we discover.

Since the heyday of research on aggression in the late 1960s, developments in several varied areas had enabled us to take a new look at this important though difficult topic. Recent findings and sophisticated new techniques in behavior genetic analysis at the time had made it possible not only to enhance our understanding of the genetic mechanisms underlying aggressive behavior, but also to provide some reasonable suggestions as to the role of aggression in evolution. Originally published in 1983, there had been significant advances in genetic and neural research and a much more sophisticated and heuristic approach to the measurement and conceptualization of aggressive behavior had developed. The ten chapters in this volume provide a thorough overview of these new approaches and methodologies. There are also suggestions regarding the scope of future research on aggressive behavior, since much of what is presented describes the ongoing research activities of the contributors. This book is divided into four sections: The first provides a systematic foundation for research on aggression, and a description of some of the newer strategies for research in this area; the second concerns quantitative genetic analyses, selection data from both wild and laboratory populations, and situational determinants of aggressive behavior; the third section details new and exciting findings in neurochemical and neuropharmacological effects; and the last section contains a chapter that provides a summary and synthesis of all that has come before.

Originally published in 1986, we were living in a world in which the number of publications in behaviour genetics had reached a point where it was difficult, even for those teaching the subject, to keep up with the literature. The editors of this title believe that there is a need for people who have planned and executed long-term research programs to summarize and comment on their results. This volume was intended to help meet that need. The authors were given free choice of subject and format. The result is a variety of topics that had been researched mainly over the previous decade. Chapter 1 is an exception and looked back at the work of others in behaviour genetics over a quarter-century and tried to detect trends in the types of research done in the field.

The enormous advances in molecular biology and genetics coupled with the progress in instrumentation and surgical techniques have produced a voluminous and often bewildering quantity of data. The primary objective of a second edition of Cardiovascular Physiology in the Genetically Engineered Mouse is to interpret critically the literature and to provide a framework for the enormous amount of information in this burgeoning field. As in the first edition, the monograph serves as a practical guide for the investigator interested in the functional methods used to characterize the murine cardiovascular phenotype. The monograph is organized into three parts. The first deals with principles of transgenesis and homologous recombination. The second part, which again is the largest, discusses the various techniques used to assess the cardiovascular mechanical, metabolic, and electrophysiologic phenotype. This section is organized in a hierarchical manner- i.e. from isolated myocyte to isolated heart to the intact, anesthetized and conscious mouse. The third part examines techniques used to evaluate murine smooth muscle function, genetic mouse models of hypertrophy and heart failure, and the methods to assess the cardiovascular phenotype in the developing mouse embryo. In addition, newer methods that push the envelope', such as magnetic resonance imaging (MRI), positron emission tomography (PET), ultrasound biomicroscopy (UBM), and computed tomography (microCT) are discussed. Expanded and updated, each chapter is richly enhanced with original tables and figures, and in many cases, extensively rewritten when compared with the first edition. An essential and enduring goal of this second edition isto continue to facilitate interactions between the basic science disciplines and help bridge the gap between molecular biology and physiology.

Named one of The New Yorker's BEST BOOKS OF 2022 SO FAR The next frontier in technology is inside our own bodies. Synthetic biology will revolutionize how we define family, how we identify disease and treat aging, where we make our homes, and how we nourish ourselves. This fast-growing field--which uses computers to modify or rewrite genetic code--has created revolutionary, groundbreaking solutions such as the mRNA COVID vaccines, IVF, and lab-grown hamburger that tastes like the real thing. It gives us options to deal with existential threats: climate change, food insecurity, and access to fuel. But there are significant risks. Who should decide how to engineer living organisms? Whether engineered organisms should be planted, farmed, and released into the wild? Should there be limits to human enhancements? What cyber-biological risks are looming? Could a future biological war, using engineered organisms, cause a mass extinction event? Amy Webb and Andrew Hessel's riveting examination of synthetic biology and the bioeconomy provide the background for thinking through the upcoming risks and moral dilemmas posed by redesigning life, as well as the vast opportunities waiting for us on the horizon.

Genome-editing methods are becoming routine tools for molecular and cell biologists. Such tools include ZFNs, CRISPR, megaTALs and TALENs. These tools are revolutionizing the creation of precisely manipulated genomes to modify the characteristics of organisms or cells. Additionally, gene drives have altered the way we understand inheritance laws. They give us the ability to have total control of the inheritance of traits of choice and importance. This succinct volume summarizes the history, principles and applications - as well as the advantages and disadvantages - of each of these tools and various kinds of gene drives. The book is part of a program to produce books helpful to students and faculties of science at colleges and universities. This volume in the Pocket Guides to Biomedical Sciences series will help demystify these technologies. The book fills the gap between established conventional methods and the novel and exciting newly introduced tools of genome editing and gene drives. It will help young scientists understand the emerging genome-editing tools and gene drives, thereby promoting related research and adoption. Key Features Extensively reviews the current genome-editing tools and gene drives Clarifies the targeting mechanisms and specificity of genome-editing tools Details many different types of natural and synthetic gene drives Highlights concerns with gene drives and genome-editing tools Related Titles Brown, T. A. Genomes 4 (ISBN 978-0-8153-4508-4) Samuelsson, T. The Human Genome in Health and Disease: A Story in Four Letters (ISBN 978-0-8153-4591-6) Soh, J., et al. Genome Annotation (ISBN 978-1-4398-4117-4)

Genome-editing methods are becoming routine tools for molecular and cell biologists. Such tools include ZFNs, CRISPR, megaTALs and TALENs. These tools are revolutionizing the creation of precisely manipulated genomes to modify the characteristics of organisms or cells. Additionally, gene drives have altered the way we understand inheritance laws. They give us the ability to have total control of the inheritance of traits of choice and importance. This succinct volume summarizes the history, principles and applications - as well as the advantages and disadvantages - of each of these tools and various kinds of gene drives. The book is part of a program to produce books helpful to students and faculties of science at colleges and universities. This volume in the Pocket Guides to Biomedical Sciences series will help demystify these technologies. The book fills the gap between established conventional methods and the novel and exciting newly introduced tools of genome editing and gene drives. It will help young scientists understand the emerging genome-editing tools and gene drives, thereby promoting related research and adoption. Key Features Extensively reviews the current genome-editing tools and gene drives Clarifies the targeting mechanisms and specificity of genome-editing tools Details many different types of natural and synthetic gene drives Highlights concerns with gene drives and genome-editing tools Related Titles Brown, T. A. Genomes 4 (ISBN 978-0-8153-4508-4) Samuelsson, T. The Human Genome in Health and Disease: A Story in Four Letters (ISBN 978-0-8153-4591-6) Soh, J., et al. Genome Annotation (ISBN 978-1-4398-4117-4)

This book presents the basic and applied aspects of sequencing of genes and genomes and their implication in the fine-scale elucidation of the plant genomes. The third volume presents an overview on the advances of plant genomics made in the past century; deliberations on the genomics resources; concepts, tools, strategies, and achievements of comparative, evolutionary, and functional genomics and whole-genome sequencing. It also presents critical reviews on the already completed genome initiatives and glimpses on the currently progressing genome initiatives. This volume is an ideal reference book for students, scholars and scientists in academia, industry, and government.

The field of molecular evolution has experienced explosive growth in recent years due to the rapid accumulation of genetic sequence data, continuous improvements to computer hardware and software, and the development of sophisticated analytical methods. The increasing availability of large genomic data sets requires powerful statistical methods to analyse and interpret them, generating both computational and conceptual challenges for the field.
Computational Molecular Evolution provides an up-to-date and comprehensive coverage of modern statistical and computational methods used in molecular evolutionary analysis, such as maximum likelihood and Bayesian statistics. Yang describes the models, methods and algorithms that are most useful for analysing the ever-increasing supply of molecular sequence data, with a view to furthering our understanding of the evolution of genes and genomes. The book emphasizes essential concepts rather than mathematical proofs. It includes detailed derivations and implementation details, as well as numerous illustrations, worked examples, and exercises. It will be of relevance and use to students and professional researchers (both empiricists and theoreticians) in the fields of molecular phylogenetics, evolutionary biology, population genetics, mathematics, statistics and computer science. Biologists who have used phylogenetic software programs to analyze their own data will find the book particularly rewarding, although it should appeal to anyone seeking an authoritative overview of this exciting area of computational biology.

The sunflower has fascinated mankind for centuries. The oilseed sunflower contributes approximately ten percent of the world 's plant-derived edible oil and the confection type sunflower holds a considerable share of the directly consumed snacks market. In addition, sunflower is also grown as an ornamental for cut flowers, as well as in home gardens. We are now embarking on the age of genomics which will expedite the process of genetic improvement of crops. There has been an explosion of information on genetic markers, DNA sequences, and genomic resources for most major food crops including sunflower. This volume is intended to bridge traditional research with modern molecular investigations on sunflower.

Recent advances that allow scientists to quickly and accurately sequence a genome have revolutionized our view of the structure and function of genes as well as our understanding of evolution. A new era of genetics is underway, one that allows us to fully embrace Dobzhansky's famous statement that "Nothing in biology makes sense except in the light of evolution". Genetics: Genes, Genomes, and Evolution presents the fundamental principles of genetics and molecular biology from an evolutionary perspective as informed by genome analysis. By using what has been learned from the analyses of bacterial and eukaryotic genomes as its basis, the book unites evolution, genomics, and genetics in one narrative approach. Genomic analysis is inherently both molecular and evolutionary, and every chapter is approached from this unified perspective. Similarly, genomic studies have provided a deeper appreciation of the profound relationships between all organisms - something reflected in the book's integrated discussion of bacterial and eukaryotic evolution, genetics and genomics. It is an approach that provides students with a uniquely flexible and contemporary view of genetics, genomics, and evolution. Online Resource Centre: - Video tutorials: a series of videos that provide deeper, step-by-step explanations of a range of topics featured in the text. - Flashcards: electronic flashcards covering the key terms from the text. For registered adopters of the text: - Digital image library: Includes electronic files in PowerPoint format of every illustration, photo, graph and table from the text - Lecture notes: Editable lecture notes in PowerPoint format for each chapter help make preparing lectures faster and easier than ever. Each chapter's presentation includes a succinct outline of key concepts, and incorporates the graphics from the chapter - Library of exam-style questions: a suite of questions from which you can pick potential assignments and exams. - Test bank of multiple-choice questions: a ready-made electronic testing resource that can be customized by lecturers and delivered via their institution's virtual learning environment. - Solutions to all questions featured in the book: solutions written by the authors help make the grading of homework assignments easier. - Journal Clubs: a series of questions that guide your students through the reading and interpretation of a research paper that relates to the subject matter of a given chapter. Each Journal club includes model answers for lecturers. - Instructor's guide: The instructor's guide discusses the educational approach taken by Genetics: Genes, Genomes, and Evolution in more detail, why this approach has been taken, what benefits it offers, and how it can be adopted in your class.

Translational Urinomics provides an overview of urine analysis using proteomics, metabolomics, transcriptomics or any combination thereof for the diagnosis and prognosis of diseases related to the urinary system and the kidneys. The text approaches urine biomarkers from a new perspective, incorporating up-to-date studies of mass-spectrometry-based biomarker discovery as well as the latest advances in personalized medicine. The integration of technology-driven techniques, such as OMICS also provides a unique opportunity for improved diagnostics accuracy of urinary-related diseases. For nephrologists and urologists looking for new approaches to well-known problems, this edited volume serves as a valuable guide.

James Mark Baldwin left a legacy that has yet to be fully examined, one with profound implications for science and the humanities. In some sense it paralleled that of his friend Charles Sanders Peirce, whose semiotics became understood only a century later. Baldwin was trying to make sense of complex biological and social processes which only now have come into the limelight as biological sciences, and slowly but surely, have re-emerged in psychology.

Baldwin's focus on development, based on the observation of his own children and extrapolated to his general theoretical scheme, is fully in line with where our contemporary biological sciences are heading. This is exemplified by the bounded flexibility of the work of the genetic system. The general principle of persistent exploration of the environment with the result of creating novelty, which was the core of Baldwin's theoretical system, has since the 1960s become the guiding idea in genetics. Contemporary developmental science is rooted in Baldwin's thinking.

In his new introduction, Jaan Valsiner shows that Baldwin's Genetic Theory of Reality demonstrates how human beings are in their nature social beings, establishes an alternative conceptualization of evolutionary theory, and formulates a system of developmental logic, all of which serve as the foundation for developmental psychology as a whole. This is a work of social science rediscovery long overdue.

Thoroughly Describes Biological Applications, Computational Problems, and Various Algorithmic Solutions Developed from the author's own teaching material, Algorithms in Bioinformatics: A Practical Introduction provides an in-depth introduction to the algorithmic techniques applied in bioinformatics. For each topic, the author clearly details the biological motivation and precisely defines the corresponding computational problems. He also includes detailed examples to illustrate each algorithm and end-of-chapter exercises for students to familiarize themselves with the topics. Supplementary material is available at http://www.comp.nus.edu.sg/~ksung/algo_in_bioinfo/ This classroom-tested textbook begins with basic molecular biology concepts. It then describes ways to measure sequence similarity, presents simple applications of the suffix tree, and discusses the problem of searching sequence databases. After introducing methods for aligning multiple biological sequences and genomes, the text explores applications of the phylogenetic tree, methods for comparing phylogenetic trees, the problem of genome rearrangement, and the problem of motif finding. It also covers methods for predicting the secondary structure of RNA and for reconstructing the peptide sequence using mass spectrometry. The final chapter examines the computational problem related to population genetics.

This title includes a number of Open Access chapters. A common tool in both research and agriculture, genetic engineering involves the direct manipulation of genes. Today's areas of medical research include genetic engineering to produce vaccines against disease, pharmaceutical development, and the treatment of disease. In agriculture, genetic engineering is used to modify crops and domestic animals to increase their yields, aid in production, and enhance nutritive aspects. This important book covers new research and studies in genetic engineering in the areas of medicine and agriculture.

This volume contains pedagogical and elementary introductions to genetics for mathematicians and physicists as well as to mathematical models and techniques of population dynamics. It also offers a physicist's perspective on modeling biological processes.

Each chapter starts with an overview followed by the recent results obtained by authors. Lectures are self-contained and are devoted to various phenomena such as the evolution of the genetic code and genomes, age-structured populations, demography, sympatric speciation, the Penna model, LotkaVolterra and other predator-prey models, evolutionary models of ecosystems, extinctions of species, and the origin and development of language. Authors analyze their models from the computational and mathematical points of view.

This volume explores the conceptual framework and the practical issues related to genomic prediction of complex traits in human medicine and in animal and plant breeding. The book is organized into five parts. Part One reminds molecular genetics approaches intending to predict phenotypic variations. Part Two presents the principles of genomic prediction of complex traits, and reviews factors that affect its reliability. Part Three describes genomic prediction methods, including machine-learning approaches, accounting for different degree of biological complexity, and reviews the associated computer-packages. Part Four reports on emerging trends such as phenomic prediction and incorporation into genomic prediction models of "omics" data and crop growth models. Part Five is dedicated to lessons learned from cases studies in the fields of human health and animal and plant breeding, and to methods for analysis of the economic effectiveness of genomic prediction. Written in the highly successful Methods in Molecular Biology series format, the book provides theoretical bases and practical guidelines for an informed decision making of practitioners and identifies pertinent routes for further methodological researches. Cutting-edge and thorough, Complex Trait Predictions: Methods and Protocols is a valuable resource for scientists and researchers who are interested in learning more about this important and developing field. Chapters 3, 9, 13, 14, and 21 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

This is the first book to give a full overview on genome integrity in different species. From microorganisms to humans, this volume provides an interdisciplinary overview of how genome integrity is maintained. Written by an international panel of experts, the book addresses the connection between genome integrity and human disease.

Stem cells have the ability to differentiate into all types of cells within the body, thus have great therapeutic potential for regenerative medicine to treat complicated disorders, like Parkinson s disease and spinal cord injury. There will also be many applications in drug development. However, several roadblocks, such as safety issues and low efficiency of pluripotent stem cell (PSC) line derivation need to be resolved before their clinical application. This thesis focuses on these two areas, so as to find methods to overcome the limitation. It covers deriving embryonic stem cells (ESCs) from several different species and reports an efficient system to generate induced pluripotent stem cells (iPSCs), and the first iPSC mice in the world. The results in this thesis confirm that somatic cells can be fully reprogrammed with the four Yamanaka factors. In addition, we have found that the Dlk1-Dio3 region can be a potential molecular marker to distinguish the fully reprogrammed iPSCs from partially reprogrammed ones. All of these results will help improve the safety of PSCs in the clinical applications and increase the current low induction efficiency of their production."

This book discusses 14 model organisms and are used by thousands of researchers, teachers, and students each year in laboratories and classrooms, around the globe. Though acknowledged in innumerable scientific journal articles, little is generally known about the origin of these collections, how the organisms contained within them have been acquired, and how they are maintained and distributed. While some collections such as Drosophila have long histories others, such as the collection of Brachionus, are relatively new. They vary greatly in size. Yet, all have contributed and are continuing to contribute to global research efforts in many areas of scientific research as diverse as tissue regeneration, skin cancer, evolution, water purity, gene function, and hundreds of others. In addition to providing the raw materials for national and international research programs, these collections also provide educational tools used by colleges and high schools. The chapters in this book attempt to provide a brief look at the individual organisms, how they came to be accepted as model organisms, the history of the individual collections, examples of how the organisms have been and are being used in scientific research, and a description of the facilities and procedures used to maintain them. Features: * Provides an in-depth look at the collections of 14 model organisms that have enabled innumerable scientific breakthroughs over decades, and that continue to do so. * Includes detailed descriptions of the operating procedures used for the maintenance of each model organism collection. * Discusses the holdings of the collections of model organisms and its relevance to past, current and future scientific research. * Written by the leaders in the field of the management of model organisms.

The availability of molecular imaging and measurement systems enables today's biologists to swiftly monitor thousands of genes involved in a host of diseases, a critical factor in specialized drug development. Systems Biology and Bioinformatics: A Computational Approach provides students with a comprehensive collection of the computational methods used in what is being coined the digital era of biology. Written by field experts with proven track records, this authoritative textbook first provides an introduction to systems biology and its impact on biology and medicine. The book then reviews the basic principles of molecular and cell biology using a system-oriented approach, with a brief description of the high-throughput biological experiments that produce databases. The text includes techniques to discover genes, perform nucleotide and amino acid sequence matching, and estimate static gene dynamic pathways. The book also explains how to use system-oriented models to predict the behavior of biological systems for important applications such as rational drug design. The numerous examples and problem sets allow students to confidently explore practical systems biology applications using real examples with real biological data, making Systems Biology and Bioinformatics: A Computational Approach an ideal text for senior undergraduate and first-year graduate students.

This volume contains papers presented at the 19th International Conference on Genome Informatics (GIW 2008) held at the Marriott Surfers Paradise Resort, Gold Coast, Queensland, Australia from December 1 to 3, 2008. The GIW Series provides an international forum for the presentation and discussion of original research papers on all aspects of bioinformatics, computational biology and systems biology. Its scope includes biological sequence analysis, protein structure prediction, genetic regulatory networks, bioinformatic algorithms, comparative genomics, and biomolecular data integration and analysis. Boasting a history of 19 years, GIW is the longest-running international bioinformatics conference.

A total of 18 contributed papers were selected for presentation at GIW 2008 and for inclusion in this book. The selected papers come from institutions in 18 countries. In addition, this book contains abstracts from the six invited speakers: Sean Grimmond (Institute for Molecular Bioscience, The University of Queensland, Australia), Eugene V Koonin (National Center for Biotechnology Information, National Institutes of Health, USA), Ming Li (University of Waterloo, Canada), Yi-Xue Li (Chinese Academy of Sciences and Shanghai Jiaotong University, China), John Mattick (Institute for Molecular Bioscience, The University of Queensland, Australia), and Eric Schadt (Rosetta Inpharmatics, USA).