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Evolution of the Human Genome II: Human Evolution Viewed from Genomes (Evolutionary Studies)
by Naruya SaitouThis two-volume set provides a general overview of the evolution of the human genome; The first volume overviews the human genome with descriptions of important gene groups. This second volume provides up-to-date, concise yet ample knowledge on the genome evolution of modern humans. It comprises twelve chapters divided into two parts discussing “Non-neutral Evolution on Human Genes” (Part I) and “Evolution of Modern Human Populations” (Part II.) The most significant feature of this book is the continent-wise discussion of modern human dispersal using human genomic data in Part II. Recent results such as introgression of paleogenomes to modern humans, new methods such as computer simulation of global human dispersals, and new information on genes for humanness will be of particular interest to the readers. Since the euchromatin regions of the human genome was sequenced in 2003, a huge number of research papers were published on modern human evolution for a variety of populations. It is now time to summarize these achievements. This book stands out as the most comprehensive book on the modern human evolution, focusing on genomic points of view with a broad scope. Primary target audiences are researchers and graduate students in evolutionary biology.
Evolution of the Vertebrate Ear
by Jennifer A. Clack Arthur N. Popper Richard R FayThe evolution of vertebrate hearing is of considerable interest in the hearing community. However, there has never been a volume that has focused on the paleontological evidence for the evolution of hearing and the ear, especially from the perspective of some of the leading paleontologists and evolutionary biologists in the world. Thus, this volume is totally unique, and takes a perspective that has never been taken before. It brings to the fore some of the most recent discoveries among fossil taxa, which have demonstrated the sort of detailed information that can be derived from the fossil record, illuminating the evolutionary pathways this sensory system has taken and the diversity it had achieved.
Evolution, Biodiversity and a Reassessment of the Hygiene Hypothesis (Progress in Inflammation Research #89)
by Graham A. W. Rook Christopher A. LowryThis edited collection of 12 chapters by research workers from a wide range of disciplines resolves the confusion that currently surrounds the “hygiene hypothesis” by considering the human need for exposure to microorganisms from an evolutionary point of view. The book explains why we evolved a requirement for exposure to microbiota from our mothers, from other people, and from the natural environment. It also explains the physiological roles of these exposures, what goes wrong when the exposures are distorted and how human lifestyles and activities, including degradation of the natural environment, are leading to this distortion. Particular attention is given to the range of pathologies associated with inappropriate microbial exposures and inappropriate colonization, including immunoregulatory problems such as allergies and autoimmunity, metabolic problems such as obesity and diabetes, and problems of central nervous system function and neurodegeneration. This book is of profound relevance to most medical disciplines, but also to those concerned with preserving the natural environment and with developing healthier urbanisation.
Evolution-adjusted Tumor Pathophysiology: The Novel Language of Tumor Biology
by Albrecht ReichleCombined modularized therapies for metastatic cancer are pointing to central problems of communication among 'systems participators'. A communication theory explains 'social engineering', endogenously induced or by implementing non-normative boundary conditions. Evolution-adjusted tumor pathophysiology is borne by an evolution theory, which contrasts narrative evolution histories. The tool of rationalizations constituting the tumor's normativity (inflammation, immune response etc.) represents the non-genomic counterpart of the tumor genome and should be additionally assessed during tumor staging. Evolution-adjusted tumor pathophysiology allows implementing applied systems biology, a novel clinical and pharmaceutical technology for bioengineering tumor response and personalizing tumor therapy. Combined modularized therapy, evolution-adjusted tumor pathophysiology, and 'universal' biomarkers concertedly address genetically based tumor heterogeneity.
Evolutionary Behavioral Ecology and Psychopathy
by Janko MeđedovićThis book examines the study of psychopathy using behavioral ecological framework. It consists of two parts. The first describes the science of human behavioral ecology, including:• Basic concepts of evolutionary biology• Evolutionary behavioral sciences• Evolutionary ecology of family• Evolutionary tradeoffs• Life history theory• Behavioral ecology of personality• Psychopathy and its current evolution.The second part of the book describes empirical research on psychopathy in evolutionary ecological context, aiming to explore fertility-longevity tradeoffs in psychopathy, interacting phenotypes in psychopathy, and parental effects associated with psychopathy. This part contains the discussion of the study’s findings which is based on several theoretical concepts described in part one. This volume is ideal for psychopathy researchers hoping to bridge the natural and social sciences in a new and innovative way.
Evolutionary Bioinformatics
by Donald R. ForsdykeNow in its third edition and supplemented with more online material, this book aims to make the "new" information-based (rather than gene-based) bioinformatics intelligible both to the "bio" people and the "info" people. Books on bioinformatics have traditionally served gene-hunters, and biologists who wish to construct family trees showing tidy lines of descent. While dealing extensively with the exciting topics of gene discovery and database-searching, such books have hardly considered genomes as information channels through which multiple forms and levels of information have passed through the generations. This "new bioinformatics" contrasts with the "old" gene-based bioinformatics that so preoccupies previous texts. Forms of information that we are familiar with (mental, textual) are related to forms with which we are less familiar (hereditary). The book extends a line of evolutionary thought that leads from the nineteenth century (Darwin, Butler, Romanes, Bateson), through the twentieth (Goldschmidt, White), and into the twenty first (the final works of the late Stephen Jay Gould). Long an area of controversy, diverging views may now be reconciled.
Evolutionary Computation in Gene Regulatory Network Research
by Nasimul Noman Hitoshi IbaIntroducing a handbook for gene regulatory network research using evolutionary computation, with applications for computer scientists, computational and system biologists This book is a step-by-step guideline for research in gene regulatory networks (GRN) using evolutionary computation (EC). The book is organized into four parts that deliver materials in a way equally attractive for a reader with training in computation or biology. Each of these sections, authored by well-known researchers and experienced practitioners, provides the relevant materials for the interested readers. The first part of this book contains an introductory background to the field. The second part presents the EC approaches for analysis and reconstruction of GRN from gene expression data. The third part of this book covers the contemporary advancements in the automatic construction of gene regulatory and reaction networks and gives direction and guidelines for future research. Finally, the last part of this book focuses on applications of GRNs with EC in other fields, such as design, engineering and robotics. * Provides a reference for current and future research in gene regulatory networks (GRN) using evolutionary computation (EC) * Covers sub-domains of GRN research using EC, such as expression profile analysis, reverse engineering, GRN evolution, applications * Contains useful contents for courses in gene regulatory networks, systems biology, computational biology, and synthetic biology * Delivers state-of-the-art research in genetic algorithms, genetic programming, and swarm intelligence Evolutionary Computation in Gene Regulatory Network Research is a reference for researchers and professionals in computer science, systems biology, and bioinformatics, as well as upper undergraduate, graduate, and postgraduate students. Hitoshi Iba is a Professor in the Department of Information and Communication Engineering, Graduate School of Information Science and Technology, at the University of Tokyo, Toyko, Japan. He is an Associate Editor of the IEEE Transactions on Evolutionary Computation and the journal of Genetic Programming and Evolvable Machines. Nasimul Noman is a lecturer in the School of Electrical Engineering and Computer Science at the University of Newcastle, NSW, Australia. From 2002 to 2012 he was a faculty member at the University of Dhaka, Bangladesh. Noman is an Editor of the BioMed Research International journal. His research interests include computational biology, synthetic biology, and bioinformatics.
Evolutionary Concepts in Immunology
by Robert Jack Louis Du PasquierImmunology is a nodal subject that links many areas of biology. It permeates the biosciences, and also plays crucial roles in diagnosis and therapy in areas of clinical medicine ranging from the control of infectious and autoimmune diseases to tumour therapy. Monoclonal antibodies and small molecule modulators of immunity are major factors in the pharmaceutical industry and now constitute a multi billion dollar business. Students in these diverse areas are frequently daunted by the complexity of immunology and the astonishing array of unusual mechanisms that go to make it up.Starting from Dobzhansky’s famous slogan, “Nothing in biology makes sense except in the light of evolution”, this book will serve to illuminate how evolutionary forces shaped immunity and thus provide an explanation for how many of its counter intuitive oddities arose. By doing so it will provide a conceptual framework on which students may organise the rapidly growing flood of immunological knowledge.
Evolutionary Criminology and Cooperation: Retribution, Reciprocity, and Crime (Palgrave's Frontiers in Criminology Theory)
by Evelyn SvingenThis book develops an evolutionary theory of crime. Both evolutionary theory and neurocriminology are growing fields that are attracting more and more interest for criminologists and wider fields alike. This book summarises important readings that relate to retribution and punishment and presents some neurocriminological findings. In addition, the book introduces a new methodology for the study of crime: a game theory experiment adapted from the field of behavioural economics. Overall, the book synthesises the key crime literature, presents a new theory of crime in a new field of evolutionary criminology and the methodology to study it, and provides empirical results in support of the theory. For any evolutionary and neuroscientist interested in deviance, this book offers a new model which is testable using more complex methods such as MRI scanners and survival simulations.
Evolutionary Dynamics of Malignancy: The Genetic and Environmental Causes of Cancer
by Robert C. JacksonAdvances in cancer genomics are transforming our understanding of cancer, and have profound implications for its prevention, diagnosis, and treatment. Evolutionary dynamics suggests that as few as two mutations can cause transformation of normal cells into cancer stem cells. A process of Darwinian selection, involving a further three or more mutations, taking place over a period of years, can then result in progression to a life-threatening tumour. In many cases the immune response can recognise and eliminate the mutant cells, but most advanced tumours have mutations that activate immune checkpoints and enable the tumour to hide from the immune system. For the most hard-to-treat tumours, future progress will require molecular diagnostics to detect cancer-causing mutations in healthy subjects, and new drugs or vaccines that prevent the progression process. Chapters of this book deal with the signalling pathways that control cell division, and changes in these pathways in cancer cells. Three cell cycle checkpoints that are often mutated in cancer are analysed in detail. A discussion of chronic myeloid leukaemia illustrates the role of reactive oxygen species in driving progression from a chronic to an acute condition. A single drug that suppresses reactive oxygen can prevent disease progression and turn an otherwise deadly disease into a condition that can be managed to enable many years of normal life. Another chapter discusses chronic myelomonocytic leukaemia, a disease that involves both genetic and epigenetic change. Tumour progression is discussed as a multi-stage process in which cancer stem cells evolve into genetically unstable, invasive, metastatic, drug-resistant growths. Each of these stages can act as targets for drugs or immunomodulators, but the future of cancer treatment lies in understanding tumour dynamics, and arresting malignancy at the earliest possible stage. Evolutionary dynamics is a primarily mathematical technique, but the target readership will be tumour biologists, clinicians, and drug developers. Computational detail is provided in an online supplement, but the main text emphasises the implications of the dynamics for an understanding of tumour biology and does not require mathematical expertise.
Evolutionary Genomics
by Maria AnisimovaTogether with early theoretical work in population genetics, the debate on sources of genetic makeup initiated by proponents of the neutral theory made a solid contribution to the spectacular growth in statistical methodologies for molecular evolution. Evolutionary Genomics: Statistical and Computational Methods is intended to bring together the more recent developments in the statistical methodology and the challenges that followed as a result of rapidly improving sequencing technologies. Presented by top scientists from a variety of disciplines, the collection includes a wide spectrum of articles encompassing theoretical works and hands-on tutorials, as well as many reviews with key biological insight. Volume 1 includes a helpful introductory section of bioinformatician primers followed by detailed chapters detailing genomic data assembly, alignment, and homology inference as well as insights into genome evolution from statistical analyses. Written in the highly successful Methods in Molecular BiologyTM series format, this work provides the kind of advice on methodology and implementation that is crucial for getting ahead in genomic data analyses. Comprehensive and cutting-edge, Evolutionary Genomics: Statistical and Computational Methods is a treasure chest of state-of the-art methods to study genomic and omics data, certain to inspire both young and experienced readers to join the interdisciplinary field of evolutionary genomics.
Evolutionary Genomics
by Maria AnisimovaTogether with early theoretical work in population genetics, the debate on sources of genetic makeup initiated by proponents of the neutral theory made a solid contribution to the spectacular growth in statistical methodologies for molecular evolution. Evolutionary Genomics: Statistical and Computational Methods is intended to bring together the more recent developments in the statistical methodology and the challenges that followed as a result of rapidly improving sequencing technologies. Presented by top scientists from a variety of disciplines, the collection includes a wide spectrum of articles encompassing theoretical works and hands-on tutorials, as well as many reviews with key biological insight. Volume 2 begins with phylogenomics and continues with in-depth coverage of natural selection, recombination, and genomic innovation. The remaining chapters treat topics of more recent interest, including population genomics, -omics studies, and computational issues related to the handling of large-scale genomic data. Written in the highly successful Methods in Molecular BiologyTM series format, this work provides the kind of advice on methodology and implementation that is crucial for getting ahead in genomic data analyses. Comprehensive and cutting-edge, Evolutionary Genomics: Statistical and Computational Methods is a treasure chest of state-of the-art methods to study genomic and omics data, certain to inspire both young and experienced readers to join the interdisciplinary field of evolutionary genomics.
Evolutionary Gerontology and Geriatrics: Why and How We Age (Advances in Studies of Aging and Health #2)
by Giacinto Libertini Graziamaria Corbi Valeria Conti Olga Shubernetskaya Nicola FerraraThis book provides concrete scientific basis that we can conceive the possibility of modifying or even completely canceling aging process, despite the fact that aging is commonly regarded as the result of the overall effects of many uncontrollable degenerative phenomena. The authors illustrate in detail the mechanisms by which cells and the whole organism age. Actions by which it is possible, or will be possible within a limited time, to operate for modifying aging are also debated.The discussion is conducted within the frame and the concepts of evolutionary medicine, which is also indispensable for distinguishing between the manifestations of aging and: (i) diseases that worsen with age, and (ii) acceleration of normal aging rates, caused by unhealthy lifestyle habits and other avoidable factors. The book also discusses the impact of aging on overall mortality and the strange situation that, according to official statistics, aging does not exist as cause of death.This book is a turning point between a gerontology and geriatrics conceived as the study and vain treatment of an incurable condition and one in which these disciplines examine the how and why of a physiological phenomenon that can be modified up to a possible total control. This means transforming the medical prevention and treatment of physiological aging from the greatest failure to the greatest success of medicine.
Evolutionary Psychiatry: Current Perspectives on Evolution and Mental Health
by Riadh Abed St John-Smith, PaulEvolutionary psychiatry attempts to explain and examine the development and prevalence of psychiatric disorders through the lens of evolutionary and adaptationist theories. In this edited volume, leading international evolutionary scholars present a variety of Darwinian perspectives that will encourage readers to consider 'why' as well as 'how' mental disorders arise. Using insights from comparative animal evolution, ethology, anthropology, culture, philosophy and other humanities, evolutionary thinking helps us to re-evaluate psychiatric epidemiology, genetics, biochemistry and psychology. It seeks explanations for persistent heritable traits shaped by selection and other evolutionary processes, and reviews traits and disorders using phylogenetic history and insights from the neurosciences as well as the effects of the modern environment. By bridging the gap between social and biological approaches to psychiatry, and encouraging bringing the evolutionary perspective into mainstream psychiatry, this book will help to inspire new avenues of research into the causation and treatment of mental disorders.
Evolutionary Statistical Procedures
by Irene Poli Roberto Baragona Francesco BattagliaThis proposed text appears to be a good introduction to evolutionary computation for use in applied statistics research. The authors draw from a vast base of knowledge about the current literature in both the design of evolutionary algorithms and statistical techniques. Modern statistical research is on the threshold of solving increasingly complex problems in high dimensions, and the generalization of its methodology to parameters whose estimators do not follow mathematically simple distributions is underway. Many of these challenges involve optimizing functions for which analytic solutions are infeasible. Evolutionary algorithms represent a powerful and easily understood means of approximating the optimum value in a variety of settings. The proposed text seeks to guide readers through the crucial issues of optimization problems in statistical settings and the implementation of tailored methods (including both stand-alone evolutionary algorithms and hybrid crosses of these procedures with standard statistical algorithms like Metropolis-Hastings) in a variety of applications. This book would serve as an excellent reference work for statistical researchers at an advanced graduate level or beyond, particularly those with a strong background in computer science.
Evolutionary Systems Biology
by Orkun S. SoyerThe book aims to introduce the reader to the emerging field of Evolutionary Systems Biology, which approaches classical systems biology questions within an evolutionary framework. An evolutionary approach might allow understanding the significance of observed diversity, uncover "evolutionary design principles" and extend predictions made in model organisms to others. In addition, evolutionary systems biology can generate new insights into the adaptive landscape by combining molecular systems biology models and evolutionary simulations. This insight can enable the development of more detailed mechanistic evolutionary hypotheses.
Evolutionary Thinking in Medicine
by Alexandra Alvergne Crispin Jenkinson Charlotte FaurieThe aim of this edited book is to provide health professionals, across a wide variety of specialisms, with a targeted access to evolutionary medicine. Throughout the book, the views of both medical and evolutionary scientists on the latest relevant research is presented with a focus on practical implications. The inclusion of boxes explaining the theoretical background as well as both a glossary for technical terms and a lay summary for non- specialists enable medical researchers, public health professionals, policy makers, physicians, students, scholars and the public alike to quickly and easily access appropriate information. This edited volume is thus relevant to anyone keen on finding out how evolutionary medicine can improve the health and well-being of people.
Evolutionary and Comparative Neuroendocrinology (Masterclass in Neuroendocrinology #17)
by Valery Grinevich Rui F. OliveiraThis book delves into the intricate journey of neuroendocrine evolution, from its rudimentary origins in single-celled organisms to the complex systems found in mammals. It offers a comprehensive exploration of how neuropeptides and their receptors have evolved, highlighting the pivotal role of the hypothalamus and pituitary gland in this process. Key concepts covered include the evolution of neuropeptide signaling, insights from invertebrate hypothalamic-pituitary systems, and the functional trajectories of ancient peptide ligand-receptor systems. The book addresses critical questions such as the organization and evolution of neurotransmitter volume transmission, the form and function of growth hormone-releasing hormone across vertebrates, and the co-evolution of neuroendocrine signaling dyads. Chapters on the melanocortin system, corticotropin-releasing hormone, and nonapeptide regulation of social behavior in teleost fish provide a deep dive into specific pathways and their evolutionary significance. Aimed at researchers and professionals in neuroscience, endocrinology, and evolutionary biology, this text serves as an invaluable resource for anyone interested in the comparative anatomy and physiology of neuroendocrine systems. This is the seventeenth volume in the International Neuroendocrine Federation (INF) Masterclass in Neuroendocrinology series, which aims to illustrate the highest standards and highlight the latest technologies in basic and clinical research, and aspires to provide inspiration for further exploration into the exciting field of neuroendocrinology.
Evolutionäre Medizin: Eine Einführung für Mediziner und Biologen (essentials)
by Werner BuselmaierWerner Buselmaier erläutert, dass die evolutionäre Medizin den Menschen als Ergebnis einer langen Entwicklung sieht. Diese Betrachtungsweise im Licht der Evolution ist für das Verständnis der Natur des gesunden wie des kranken Menschen von außerordentlicher Bedeutung. Die zunehmende Erkenntnis, dass es zum vollständigen Verständnis einer Krankheit sowohl unmittelbarer als auch evolutionsbiologischer Erklärungen bedarf, wird in allerjüngster Zeit auch in die Medizinerausbildung eingebracht.
Evolving Eldercare in Contemporary China
by Lin ChenWith an increasing number of elders moving into nursing homes, the shift from family to nursing home care calls for an exploration of caregiving decision-making in urban China. This study examines how a rapidly growing aging population, the one-child policy, and economic reform in urban China pose unprecedented challenges to the country's ingrained tradition of family caregiving. It presents interviews of matched elders and their children from a government-sponsored nursing home in Shanghai and analyzes the decision-making process of institutionalization. This book offers fresh insight into the evolving culture and arrangements of caregiving in contemporary Chinese society, illuminating the diverse needs for long-term care of Chinese elders-the world's largest aging population-in the coming decades.
Evolving Psychosis: Different Stages, Different Treatments (The International Society for Psychological and Social Approaches to Psychosis Book Series)
by Jan Olav Johannessen Brian V. Martindale Johan CullbergCan early, need-adapted treatment prevent the long-terms effects of psychosis? How important is phase-specific treatment? Evolving Psychosis explores the success of psycho-social treatments for psychosis in helping patients recover more quickly and stay well longer. Mental health professionals from all over the world share their clinical experience and scientific findings to shed new light on the issues surrounding need-specific treatment. They cover: The Nature of Psychosis, Early Intervention in Psychosis, Phase-Specific Treatment of Psychosis and The Need for Integration. Particular attention is paid to the how treatment can be improved with individually tailored treatment programmes, early intervention, more integration between psychological treatments, and new and better diagnostic concepts. This book incorporates new and controversial ideas which will stimulate discussion regarding the benefits of early, need-adapted treatment. It will be of interest to psychologists, psychiatrists and other mental health professionals interested in psycho-social approaches to psychosis.
Evolving Role of AI and IoMT in the Healthcare Market
by Manoj Kumar Fadi Al-Turjman Akashdeep Bhardwaj Thompson StephanThis book is a proficient guide to understanding artificial intelligence (IoT) and the Internet of Medical Things (IoMT) in healthcare. The book provides a comprehensive study on the applications of AI and IoT in various medical domains. The book shows how the implementation of innovative solutions in healthcare is beneficial, and IoT, together with AI, are strong drivers of the digital transformation regardless of what field the technologies are applied in. Therefore, this book provides a high level of understanding with the emerging technologies on the Internet of Things, wearable devices, and AI in IoMT, which offers the potential to acquire and process a tremendous amount of data from the physical world.
Ewing Sarcoma: Methods and Protocols (Methods in Molecular Biology #2226)
by Florencia Cidre-Aranaz Thomas G.P. GrünewaldThis volume aims at providing a selection of the most effective and widely employed protocols used in the Ewing sarcoma field. Chapters are divided into five sections detailing the molecular biology techniques used to analyze Ewing sarcoma including tissue preservation and methods used in morpho-molecular diagnostics and routine immune-histological analysis. Additional wet-lab protocols comprise in vitro techniques including re-expression and functional analyses of target genes together with in vivo tools and models such as patient-derived xenografts (PDX) and orthotopic xenografts for metastasis assessment in Ewing sarcoma. A full section on bioinformatic approaches to Ewing sarcoma covering ChIPseq, epigenetic and systems biology analyses finalizes this volume. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and clearly written, Ewing sarcoma: Methods and Protocols aims to provide methods to further the study of Ewing sarcoma and bring researchers one step forward in the quest to fight this devastating disease.
Ewing's Analytical Instrumentation Handbook, Fourth Edition
by Sonia Rodriguez Nelu GrinbergThis handbook is a guide for workers in analytical chemistry who need a starting place for information about a specific instrumental technique. It gives a basic introduction to the techniques and provides leading references on the theory and methodology for an instrumental technique. This edition thoroughly expands and updates the chapters to include concepts, applications, and key references from recent literature. It also contains a new chapter on process analytical technology.
Ex Vivo Engineering of the Tumor Microenvironment
by Amir R. Aref David BarbieThis volume will outline how to recreate the tumor microenvironment, to culture primary tumors without the need for developmental priming factors, and to deliver targeted therapeutics in a manner that recapitulates pharmacokinetics in vivo. Much of what may be learned from this volume will aid in understanding many aspects of the enhanced study of tumor cell biology in a physiologic context, open new avenues for drug screening and biomarker development, and accelerate the preclinical evaluation of novel personalized medicine strategies for patients in real time.