Plant genotyping, or DNA fingerprinting of plants, is a technology that has matured and is poised for widespread practical application. Plant genotype analysis can be used for the identification of plants in commerce, plant breeding and research. This book examines the technology available and their application in the analysis of wild plant populations, germplasm collections and plant breeding. Special attention has been paid to microsatellite analysis, single nucleotide polymorphism (SNP) markers and new technologies, such as microarrays and non-gel based analysis of markers.

How do genes determine behavior? How much of behavior is nature versus nurture? How do behaviors evolve? Anholt and Mackay, leading scholars in the field of behavioral genetics, address these questions and much more in this comprehensive textbook that defines the emerging field of behavioral genetics. The provides a range of examples, such as laboratory studies on flies and mice, field observations on species as diverse as butterflies and meerkats, and human behavioral disorders. The book blends classical and modern genetic principles with neurobiological and ecological perspectives to teach students how to find and map genes that affect behaviors, as well as how the coordinated expression of ensembles of these genes enables the nervous system to express complex behaviors in response to changes in the environment. Principles of Behavioral Genetics introduces us to the fascinating science that aims to understand how our genes determine what makes us tick.
Principles of Behavioral Genetics presents a comprehensive overview of the relationship between genes, brain and behavior. Introductory chapters provide clear explanations of basic processes of the nervous system and fundamental principles of genetics of complex traits without excessive statistical jargon. Individual chapters describe the genetics of social interactions, olfaction and taste, memory and learning, circadian behavior, locomotion, sleep, and addiction, as well as the evolution of behavior. Whereas the focus is on genetics, neurobiological and ecological aspects are also included to provide intellectual breadth. The book uses examples that span the gamut from classical model organisms to non-model systems and human biology, and include both laboratory and field studies. Samples of historical information accentuate the text to provide the reader with an appreciation of the history of the field. All chapters contain general overviews, concise summaries, study questions that promote not only memorization but also contemplation of the material, and recommendations for further in-depth reading. An extensive glossary that defines the terminology used in the book is included. This textbook encompasses a broad definition of the emerging science of behavioral genetics.
* Defines the emerging science of behavioral genetics
* Engagingly written by two leading experts in behavioral genetics
* Clear explanations of basic quantitative genetic, neurogenetic and genomic applications to the study of behavior
* Numerous examples ranging from model organisms to non-model systems and humans
* Concise overviews and summaries for each chapter

Practical Biostatistics: A Step-by-Step Approach for Evidence-Based Medicine, Second Edition presents a complete resource of biostatistical knowledge meant for health sciences students, researchers and health care professionals. The book's content covers the investigator's hypothesis, collective health, observational studies, the biostatistics of intervention studies, clinical trials and additional concepts. Chapters are written in a didactic way, making them easier to comprehend by readers with little or no background on statistics. Evidence-based medicine aims to apply the best available evidence gained from the scientific method to medical decision-making using statistical analyses of scientific methods and outcomes to drive further experimentation and diagnosis. With a detailed outline of implementation steps complemented by a review of important topics, this book can be used as a quick reference or hands-on guide on how to effectively incorporate biostatistics in clinical trials and research projects.

An introduction to the history of genetics and the rethinking of evolutionism.

Exploring Genome's Junkyard: In the Labyrinth of Evolution narrates the progress of biological evolution, beginning with the conceptual introspection of gene and continuing with the contemporary understanding of the structural and function aspects of the human genome. Recent advances in human genome research have led scientists to the term "biological dark matter," which refers to genetic material whose functionalities are not yet properly understood. Such "dark matter" has been recognized as non-coding, or "junk DNA," and non-coding RNA, which was thought to be devoid of protein encrypting potential but contained 98-99% of the human genome. The mysteries of missing genes from its "Dark DNA" region are a hotbed of recurrent mutations. Hence, the presence of "missing genes" in evolutionary sibling species has indicated that the "missing genes" are not really missing but rather hidden in the mutational hotbeds of "Dark DNA" where they have steered the continuation of life's evolutionary journey.

Epigenetics in Cardiovascular Disease, a new volume in the Translational Epigenetics series, offers a comprehensive overview of the epigenetics mechanisms governing cardiovascular disease development, as well as instructions in research methods and guidance in pursing new studies. More than thirty international experts provide an (i) overview of the epigenetics mechanisms and their contribution to cardiovascular disease development, (i) high-throughput methods for RNA profiling including single-cell RNA-seq, (iii) the role of nucleic acid methylation in cardiovascular disease development, (iv) epigenetic actors as biomarkers and drug targets, (v) and the potential of epigenetics to advance personalized medicine. Here, readers will discover strategies to combat research challenges, improve quality of their epigenetic research and reproducibility of their findings. Additionally, discussion of assay and drug development for personalized healthcare pave the way for a new era of understanding in cardiovascular disease.

In studying biology, one of the more difficult factors to predict is how parents' attributes will affect their children and how those children will affect their own children. Organizing and calculating those vast statistics can become extremely tedious without the proper mathematical and reproductive knowledge. Attractors and Higher Dimensions in Population and Molecular Biology: Emerging Research and Opportunities is a collection of innovative research on the methods and applications of population logistics. While highlighting topics including gene analysis, crossbreeding, and reproduction, this book is ideally designed for academics, researchers, biologists, and mathematicians seeking current research on modeling the reproduction process of a biological population.

This open access volume presents state-of-the-art inference methods in population genomics, focusing on data analysis based on rigorous statistical techniques. After introducing general concepts related to the biology of genomes and their evolution, the book covers state-of-the-art methods for the analysis of genomes in populations, including demography inference, population structure analysis and detection of selection, using both model-based inference and simulation procedures. Last but not least, it offers an overview of the current knowledge acquired by applying such methods to a large variety of eukaryotic organisms. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, pointers to the relevant literature, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Statistical Population Genomics aims to promote and ensure successful applications of population genomic methods to an increasing number of model systems and biological questions.

International concern over the threat to species and ecosystems caused by human activities is at an all time high, which may result in high costs to present and future generations. The economic costs and benefits associated with the conservation and sustainable use of genetic resources of actual or potential value for food and agriculture is largely unknown. Economic instruments that can encourage implementation of socially optimal genetic resource conservation strategies as well as the sharing of the real benefits and costs are a useful measurement tool. This book is an edited compilation of papers from the Symposium on the Economics of Valuation and Conservation of Genetic Resources for Agriculture held in Rome in May 1996. It addresses some of the key issues involved in the estimation of the economic value of conserving genetic resources for agriculture. It covers the modelling of the value of Plant Genetic Resources (PGRs), empirical studies of PGRs (including field diversity and yield vulnerability), seven empirical studies of PGR breeding values, property rights in PGRs and the implications of modern biotechnology methods for PGR values. The book will be essential reading for workers in agricultural economics, plant breeding and genetics, and biodiversity and conservation.

Responsible Genomic Data Sharing: Challenges and Approaches brings together international experts in genomics research, bioinformatics and digital security who analyze common challenges in genomic data sharing, privacy preserving technologies, and best practices for large-scale genomic data sharing. Practical case studies, including the Global Alliance for Genomics and Health, the Beacon Network, and the Matchmaker Exchange, are discussed in-depth, illuminating pathways forward for new genomic data sharing efforts across research and clinical practice, industry and academia.

Transcription Factors for Abiotic Stress Tolerance in Plants highlights advances in the understanding of the regulatory network that impacts plant health and production, providing important insights for improving plant resistance. Plant production worldwide is suffering serious losses due to widespread abiotic stresses increasing as a result of global climate change. Frequently more than one abiotic stress can occur at once, for example extreme temperature and osmotic stress, which increases the complexity of these environmental stresses. Modern genetic engineering technologies are one of the promising tools for development of plants with efficient yields and resilience to abiotic stresses. Hence deciphering the molecular mechanisms and identifying the abiotic stress associated genes that control plant response to abiotic stresses is a vital requirement in developing plants with increased abiotic stress resilience. Addressing the various complexities of transcriptional regulation, this book includes chapters on cross talk and central regulation, regulatory networks, the role of DOF, WRKY and NAC transcription factors, zinc finger proteins, CRISPR/CAS9-based genome editing, C-Repeat (CRT) binding factors (CBFs)/Dehydration responsive element binding factors (DREBs) and factors impacting salt, cold and phosphorous stress levels, as well as transcriptional modulation of genes involved in nanomaterial-plant interactions. Transcription Factors for Abiotic Stress Tolerance in Plants provides a useful reference by unravelling the transcriptional regulatory networks in plants. Researchers and advanced students will find this book a valuable reference for understanding this vital area.

Microbiomics: Dimensions, Applications, and Translational Implications of Human and Environmental Microbiome Research describes a new, holistic approach to microbiomics. International experts provide in-depth discussion of current research methods for studying human, environmental, viral and fungal microbiomes, as well as the implications of new discoveries for human health, nutrition, disease, cancer research, probiotics and in the food and agricultural industries. Distinct chapters covering culturomics and sub-microbiomes, such as the viriome and mycetobiome, provide an integrative framework for the expansion of microbiomics into new areas of application, as well as crosspollination between research areas. Detailed case studies include the use of microbiomics to develop natural products with antimicrobial properties, microbiomic enhancements in food and beverage technology, microbes for bioprotection and biopreservation, microbial tools to reduce antibiotic resistance, and maintenance and cultivation of human microbial communities.

Genetics has transformed plant pathology on two occasions: first when Mendelian genetics enabled the discovery that disease resistance was a heritable trait in plants, and secondly when Flor proposed the "gene-for-gene" hypothesis to explain his observations of plant-parasite interactions, based on his work on flax rust in North Dakota starting in the 1930s. Our knowledge of the genetics of disease resistance and host-pathogen coevolution is now entering a new phase as a result of the cloning of the first resistance genes. This book provides a broad review of recent developments in this important and expanding subject. Both agricultural and natural host-pathogen situations are addressed. While most of the book focuses on plant pathology, in the usual sense of the term embracing fungal, bacterial and viral pathogens, there is also consideration of parasitic plants and a chapter demonstrating lessons to be learnt from the mammalian immune system. Three overall themes are addressed: genetic analyses and utilization of resistance; population genetics; and cell biology and molecular genetics. Chapters are based on papers presented at the British Society for Plant Pathology Presidential meeting held in December 1995, but all have been revised and updated to mid-1996. Written by leading authorities from North America, Europe and Australia, the book represents an essential update for workers in plant genetics, breeding, biotechnology and pathology.

Armed with extraordinary new discoveries about our genes, acclaimed science writer Matt Ridley turns his attention to the nature-versus-nurture debate in a thoughtful book about the roots of human behavior.

Ridley recounts the hundred years' war between the partisans of nature and nurture to explain how this paradoxical creature, the human being, can be simultaneously free-willed and motivated by instinct and culture. With the decoding of the human genome, we now know that genes not only predetermine the broad structure of the brain, they also absorb formative experiences, react to social cues, and even run memory. They are consequences as well as causes of the will.

This fourth volume in the Handbook of Stress series, Stress: Genetics, Epigenetics and Genomics, deals with the influence that genetics, epigenetics, and genomics have on the effects of and responses to stress. Chapters refer to epigenetic mechanisms that involve DNA methylation, histone modification, and/or noncoding RNA-associated gene activation or silencing. There is also coverage of epigenetic mechanisms in stress-related transgenerational transmission of characteristics, and how these may help explain heritability in some complex human diseases. The Handbook of Stress series, comprised of self-contained volumes that each focus on a specific stress area, covers the significant advances made since the publication of Elsevier's Encyclopedia of Stress (2000 and 2007). Volume 4 is ideal for graduate students, post-doctoral fellows, faculty and clinicians interested in stress genetics, epigenetics and genomics involved in neuroendocrinology, neuroscience, biomedicine, endocrinology, psychology, psychiatry and the social sciences