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Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Genetics (non-medical)
Over the last ten years the introduction of computer intensive statistical methods has opened new horizons concerning the probability models that can be fitted to genetic data, the scale of the problems that can be tackled and the nature of the questions that can be posed. In particular, the application of Bayesian and likelihood methods to statistical genetics has been facilitated enormously by these methods. Techniques generally referred to as Markov chain Monte Carlo (MCMC) have played a major role in this process, stimulating synergies among scientists in different fields, such as mathematicians, probabilists, statisticians, computer scientists and statistical geneticists. Specifically, the MCMC "revolution" has made a deep impact in quantitative genetics. This can be seen, for example, in the vast number of papers dealing with complex hierarchical models and models for detection of genes affecting quantitative or meristic traits in plants, animals and humans that have been published recently. This book, suitable for numerate biologists and for applied statisticians, provides the foundations of likelihood, Bayesian and MCMC methods in the context of genetic analysis of quantitative traits. Most students in biology and agriculture lack the formal background needed to learn these modern biometrical techniques. Although a number of excellent texts in these areas have become available in recent years, the basic ideas and tools are typically described in a technically demanding style, and have been written by and addressed to professional statisticians. For this reason, considerable more detail is offered than what may be warranted for a more mathematically apt audience. The book is divided into four parts. Part I gives a review of probability and distribution theory. Parts II and III present methods of inference and MCMC methods. Part IV discusses several models that can be applied in quantitative genetics, primarily from a Bayesian perspective. An effort has been made to relate biological to statistical parameters throughout, and examples are used profusely to motivate the developments. Daniel Sorensen is Research Leader in Biometrical Genetics, at the Department of Animal Breeding and Genetics in the Danish Institute of Agricultural Sciences. Daniel Gianola is Professor in the Animal Sciences, Biostatistics and Medical Informatics, and Dairy Science Departments of the University of Wisconsin-Madison. Gianola and Sorensen pioneered the introduction of Bayesian and MCMC methods in animal breeding. The authors have published and lectured extensively in applications of statistics to quantitative genetics.
Early Thoughts on RNA and the Origin of Life The full impact of the essential role of the nucleic acids in biological systems was forcefully demonstrated by the research community in the 1950s. Although Avery and his collaborators had identified DNA as the genetic material responsible for the transformation of bacteria in 1944, it was not until the early 1950s that the Hershey-Chase experiments provided a more direct demonstration of this role. Finally, the structural DNA double helix proposed by Watson and Crick in 1953 clearly created a structural frame work for the role of DNA as both information carrier and as a molecule that could undergo the necessary replication needed for daughter cells. Research continued by Kornberg and his colleagues in the mid-1950s emphasized the biochemistry and enzymology of DNA replication. At the same time, there was a growing interest in the role of RNA. The 1956 dis covery by David Davies and myself showed that polyadenylic acid and polyuridylic acid could form a double-helical RNA molecule but that it differed somewhat from DN A A large number of experiments were subsequendy carried out with synthetic polyribonucleotides which illustrated that RNA could form even more complicated helical structures in which the specificity of hydrogen bonding was the key element in determining the molecular conformation. Finally, in I960,1 could show that it was possible to make a hybrid helix."
Two of the more fascinating biological phenomena that have been d- covered in recent years are RNA editing and RNA interference. Each of these processes has been found in a cross-section of biological systems, including mammals, viruses, plants, and a range of model organisms (C. elegans,Dro- phila, and various lower eukaryotes). RNA editing, which results in an RNA product different from that predicted by the genome, occurs through a variety of mechanisms. Alterations can occur at either the base level, in which one base is changed to another (substitutional editing/base modification), or via the addition and/or deletion of nucleotides relative to the original template (insertion/deletion editing). RNA interference (RNAi) involves the specific degradation of targeted mRNAs. Although RNA interference, editing, and modification use different enzymes and mechanisms, the targets of each of these reactions are often specified by RNA molecules. Indeed, the discovery of guide RNAs (gRNAs) that direct nucleotide insertion and deletion in trypa- some mitochondria set the precedent for subsequent discoveries of the small nuclear RNAs (snoRNAs) that target pseudouridylylation and methylation of stable RNAs and the small double-stranded RNA fragments (siRNAs) that mediate RNAi. Other small RNAs are known to mediate translational regu- tion during development (small temporal RNAs [stRNAs]) and mRNA stab- ity (microRNAs [miRNAs]), and the recent identification of more than a hundred small "noncoding" RNAs has led to the realization that they may represent only the proverbial "tip of the iceberg.
Genetically Engineered Marine Organisms: Environmental and Economic Risks and Benefits provides a comprehensive, multidisciplinary overview of the environmental, economic, and regulatory implications of advances in marine biotechnology. The book has been specifically designed to bridge the gap between the rapidly advancing marine biotechnology industry and the government agencies that are responsible for risk assessment and regulation. Editors Raymond Zilinskas and Peter Balint have brought together experts in risk assessment, marine ecology, biotechnology, economics, and the law, to provide a unique way of examining complex issues in marine biotechnology. The contributors present innovative and challenging recommendations for protecting public health and the environment, while encouraging the development of beneficial new products in the field of marine biotechnology. As an added feature, each chapter includes a comprehensive, up-to-date bibliography. Genetically Engineered Marine Organisms: Environmental and Economic Risks and Benefits will prove invaluable to students, researchers and public employees involved with risk assessment. The book will appeal to industry personnel involved with the preparation of marine biotechnology products; scientists and administrators involved with applied research in marine biotechnology; policy analysts concerned with the economics of marine fisheries; and university personnel who focus on the interaction of risk, technology, and public policy.
Our current knowledge of marine organisms and the factors affecting their ecology, distribution and evolution has been revolutionised by the use, in the last 20 years, of molecular population genetics tools. This book is the result of a meeting of world-leading experts, in Rio de Janeiro, where the state of the art of this field was reviewed. Topics covered include the molecular analysis of bio-invasions, the recent developments in marine biotechnology, the factors affecting levels of genetic variation and population structure in marine organisms and their application to conservation biology, fisheries and aquaculture. This is the first book dedicated to the genetic study of marine organisms. It will be very useful to biology students, scientists and anyone working or simply interested in areas such as marine biology, zoology, ecology, and population and molecular genetics.
Tropical climates, which occur between 23 Degrees30'N and S latitude (Jacob 1988), encompass a wide variety of plant communities (Hartshorn 1983, 1988), many of which are diverse in their woody floras. Within this geographic region, temperature and the amount and seasonality of rainfall define habitat types (UNESCO 1978). The F AO has estimated that there 1 are about 19 million km of potentially forested area in the global tropics, of which 58% were estimated to still be in closed forest in the mid-1970s (Sommers 1976; UNESCO 1978). Of this potentially forested region, 42% is categorized as dry forest lifezone, 33% is tropical moist forest, and 25% is wet or rain forest (Lugo 1988). The species diversity of these tropical habitats is very high. Raven (1976, in Mooney 1988) estimated that 65% of the 250,000 or more plant species of the earth are found in tropical regions. Of this floristic assemblage, a large fraction are woody species. In the well-collected tropical moist forest of Barro Colorado Island, Panama, 39. 7% (481 of 1212 species) of the native phanerogams are woody, arborescent species (Croat 1978). Another 21. 9% are woody vines and lianas. Southeast Asian Dipterocarp forests may contain 120-200 species of trees per hectare (Whitmore 1984), and recent surveys in upper Amazonia re corded from 89 to 283 woody species ~ 10 cm dbh per hectare (Gentry 1988). Tropical communities thus represent a global woody flora of significant scope.
Abiotic Stresses in Wheat: Unfolding the Challenges presents the current challenges, possibilities, and advancements in research-based management strategies for the adaptation of wheat crops under abiotic-stressed growth conditions. This book comprehensively discusses different abiotic stress conditions in wheat, and also covers current trends in their mitigation using advanced tools to develop resilience in wheat crops. Chapters provide insight into the genetic, biochemical, physiological, molecular, and transgenic advances and emerging frontiers for mitigating the effects of wheat abiotic stresses. This text is the first resource to include all abiotic stresses in one volume, providing important translational insights and efficient comparison.
This volume covers the current knowledge base on the role of signaling and environmental pathways that control the normal development of germline stem cells, meiotic progression of oocytes, events of oocyte maturation and fertilization, and the birth of an embryo. Germ cells are uniquely poised to sustain life across generations through the fusion of oocyte and sperm. Because of the central importance of germ cells to life, much work has been dedicated to obtaining a clear understanding of the molecular and signaling events that control their formation and maintenance. Germ cells are set aside from somatic cells in the embryo and go through specialized meiotic cell cycles as the animal matures. These cell cycles are interspersed with long periods of arrest. In human females, meiosis I is initiated in the fetus. At birth, oocytes are arrested in meiosis I; after puberty, every month an oocyte initiates meiosis II - ovulation. Upon sperm availability these cells are fertilized, generate an embryo, and the cycle-of-life continues. During meiotic I progression and arrest, the fitness of oocytes and their progeny are likely influenced by environmental cues and signaling pathways. A lot of recent work has focused on understanding the mechanisms that regulate oocyte fitness and quality in humans and vertebrates. Much of our understanding on the events of meiosis I and germline stem cell populations comes from work in invertebrates, wherein the germline stem cells produce oocytes continuously through adult development. In both inverbrates and vertebrates nutritional and signaling pathways control the regulation of stem cells in such a manner so as to couple production of gametes with the nutritional availability. Additionally, mature oocytes arrest both in meiosis I and meiosis II, and signaling and nutritional pathways have been shown to regulate their formation, and maintenance, such that despite long periods of arrest, the oocyte quality is assured and errors in chromosome segregation and varied cytoplasmic events are minimal.
Since the first edition of this book dedicated to differential display (DD) technology was published in 1997, we have witnessed an explosive interest in studying differential gene expression. The gene-hunting euphoria was initially powered by the invention of DD, which was gradually overtaken by DNA microarray technology in recent years. Then why is there still the need for second edition of this DD book? First of all, DD still enjoys a substantial lead over DNA microarrays in the ISI citation data (see Table 1), despite the h- dreds of millions of dollars spent each year on arrays. This may come as a surprise to many, but to us it implies that many of the DNA microarray studies went unpublished owing to their unfulfilled promises (1). Second, unlike DNA microarrays, DD is an "open"-ended gene discovery method that does not depend on prior genome sequence information of the organism being studied. As such, DD is applicable to the study of all living organisms-from bacteria, fungi, insects, fish, plants, to mammals-even when their genomes are not sequenced. Second, DD is more accessible technically and financially to most cost-conscious "cottage-industry" academic laboratories. So clearly DD still has its unique place in the modern molecular biological toolbox for gene expression analysis.
This thesis outlines the development of the very first technology for high-throughput analysis of paired heavy and light-chain antibody sequences, opening an entirely new window for antibody discovery and the investigation of adaptive immune responses to vaccines and diseases. Previous methods for high-throughput immune repertoire sequencing have been unable to provide information on the identity of immune receptor pairs encoded by individual B or T lymphocytes. The author directly addresses these limitations by designing two new technologies for sequencing multiple mRNA transcripts from up to 10 million isolated, single cells. The techniques developed in this work have enabled comprehensive interrogation of human B-cell repertoires and have been applied for rapid discovery of new human antibodies, to gain new insights into the development of human antibody repertoires, and for analysis of human immune responses to vaccination and disease.
In most breeding programs of plant and animal species, genetic data (such as data from field progeny tests) are used to rank parents and help choose candidates for selection. In general, all selection processes first rank the candidates using some function of the observed data and then choose as the selected portion those candidates with the largest (or smallest) values of that function. To make maximum progress from selection, it is necessary to use a function of the data that results in the candidates being ranked as closely as possible to the true (but always unknown) ranking. Very often the observed data on various candidates are messy and unbalanced and this complicates the process of developing precise and accurate rankings. For example, for any given candidate, there may be data on that candidate and its siblings growing in several field tests of different ages. Also, there may be performance data on siblings, ancestors or other relatives from greenhouse, laboratory or other field tests. In addition, data on different candidates may differ drastically in terms of quality and quantity available and may come from varied relatives. Genetic improvement programs which make most effective use of these varied, messy, unbalanced and ancestral data will maximize progress from all stages of selection. In this regard, there are two analytical techniques, best linear prediction (BLP) and best linear unbiased prediction (BLUP), which are quite well-suited to predicting genetic values from a wide variety of sources, ages, qualities and quantities of data.
As imaging technologies and approaches have evolved, the scope of certain imaging techniques has moved far beyond the production of purely illustrative images or appealing time-lapse movies to providing the scientist with a rich range of ways to measure and quantify the biological process and outcome of gene expression. In Imaging Gene Expression: Methods and Protocols, expert authors offer up-to-date approaches and protocols that scientists in the field have developed, which would benefit the broader scientific community. Divided in three convenient parts, this detailed book covers the output of a gene, namely the RNA molecules that are transcribed from the gene and the way by which these molecules can be tracked or quantified in fixed or living cells, protocols that focus on the gene, DNA, or chromatin, as well as a variety of ways by which nuclear processes intertwined with gene expression can be followed and quantified in living cells as well as approaches for studying several sub-nuclear structures found in eukaryotic cells. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective subjects, lists of materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and up-to-date, Imaging Gene Expression: Methods and Protocols will serve researchers working toward imaging in the context of complete organisms.
Understanding gene function and regulation requires rigorous testing in live cells and organisms. Recent advances have provided a variety of new strategies for delivering DNA and RNA into cells and probing their expression, as well as new clinical applications that rely upon the introduction of genetic material. The vast number of available techniques for clinical and laboratory research often makes selecting the optimal method a difficult process. Gene Transfer: Delivery and Expression of DNA and RNA provides the first comprehensive guide to technical approaches for delivering nucleic acids into cells and organisms and of ensuring (even manipulating) appropriate expression. The detailed, step-by-step protocols cover a variety of methods, both well established and newly evolving. These include viral and nonviral methods of gene delivery, transgenic approaches, strategies for the regulation of transgene expression, and modification of the host response. The introductory matter to each chapter includes concise technical and theoretical discussions with considerations for selection of the appropriate system and strategies for delivery.
Plant Stress Mitigators: Types, Techniques and Functions presents a detailed contextual discussion of various stressors on plant health and yield, with accompanying insights into options for limiting impacts using chemical elicitors, bio-stimulants, breeding techniques and agronomical techniques such as seed priming, cold plasma treatment, and nanotechnology, amongst others. The book explores the various action mechanisms for enhancing plant growth and stress tolerance capacity, including nutrient solubilizing and mobilizing, biocontrol activity against plant pathogens, phytohormone production, soil conditioners, and many more unrevealed mechanisms. This book combines research, methods, opinion, perspectives and reviews, dissecting the stress alleviation action of different plant stress mitigators on crops grown under optimal and sub-optimal growing conditions (abiotic and biotic stresses).
Neglected and Underutilized Crops: Future Smart Food explores future food crops with climate resilience potential. Sections cover their botany, nutritional significance, global distribution, production technology, and tolerance to biotic and abiotic stresses of neglected and underutilized crops. By simply changing species in a crop rotation system, the cycle of some pests and diseases is disrupted and probabilities of infestations are reduced. Finally, the book provides case studies that highlight where the adaptation of crops to local environments, especially with regard to climate change, have been successful. These crops can help make agricultural production systems more resilient to climate change. Although a few books on neglected and underutilized crops are available, this comprehensive book covers the full scope of crop husbandry, nutritional significance and global distribution.
Perinatal and Developmental Epigenetics, Volume 32, a new volume in the Translational Epigenetics series, provides a thorough overview of epigenetics in the early developmental and perinatal stages, illuminating pathways for drug discovery and clinical advances. Here, over 25 international researchers examine recent steps forward in our understanding of epigenetic programming during perinatal and early development. The book opens with an in-depth introduction to known and newly discovered epigenetic marks and how they regulate various cellular processes. Later sections examine various prenatal and perinatal environmental experiences and their ability to derail the normal developmental trajectory via epigenetic reprogramming. Insights and suggestions for future research illuminate approaches for identifying individual disease susceptibility. Concluding chapters highlight preventative and targeted therapeutic pathways to improve quality of life into adulthood.
The notion of matching diet with an individual's genetic makeup is transforming the way the public views nutrition as a means of managing health and preventing disease. To fulfill the promise of nutritional genomics, researchers are beginning to reconcile the diverse properties of dietary factors with our current knowledge of genome structure and gene function. What is emerging is a complex system of interactions that make the human genome exquisitely sensitive to our nutritional environment. Nutritional Genomics: The Impact of Dietary Regulation of Gene Function on Human Disease provides an integrated view of how genomic and epigenetic processes modulate the impact of dietary factors on health. Written as a resource for researchers, nutrition educators, and policy makers, this book contains the latest scientific findings on the mechanisms of action underlying diet-genome interactions. It presents a unique perspective on the fundamentals of nutritional genomics from genomics, transcriptomics, proteomics, and metabolomics. Contributing authors introduce the important areas of cell signaling and transduction, the intricate regulation of gene expression, and alteration of gene-linked chronic diseases, such as obesity-induced inflammation, insulin resistance, metabolic syndrome, cardiovascular disease, and cancer. The authors detail significant areas of interest within nutritional genomics-including plant-based foods as epigenetic modifiers of gene function and the effects of bioactive phytochemicals on inherited genotype and expressed phenotypes. They also discuss the role of vitamin D in various cancer risks and the gastrointestinal tract as a defense system. Given the key role played by agriculture and the food industry to produce foods to meet personalized health needs, the book also addresses agricultural breeding efforts to enhance nutritional value and the use of technology to increase bioactive ingredients in the food supply. The final chapters discuss manufacturing practices and novel processing techniques for retention of nutrients and bioactive components, as well as the need for regulatory oversight and proper labeling to establish assurance of safety and benefit. An excellent resource for this exciting field, the book identifies future directions for research and opportunities for improving global health and wellness by preventing, delaying, or mitigating chronic diseases with diet.
With the advent of high-throughput technologies following completion of the human genome project and similar projects in model organisms, the number of genes of interest has expanded and the traditional methods for gene function analysis cannot achieve the throughput necessary for large-scale exploration. Gene Function Analysis brings together a number of techniques that have developed recently for looking at gene function, including computational, biochemical and biological methods and protocols.
Homologous recombination is important in various aspects of DNA metabolism, including damage repair, replication, telomere maintenance, and meiosis, and yeast genetics has successfully provided a framework for the mechanism of homologous recombination. Divided into four convenient sections, DNA Recombination: Methods and Protocols covers recent techniques that best utilize the advantages of the yeast system, prescribing to the belief that yeast will keep serving as a great model organism to study homologous recombination. Chapters have also been included for such exceptions as the group of genes involved in recombination that are found solely in higher eukaryotes, such as BRCA2. And looking forward, a necessary step in the direction of understanding the homologous recombination process is to isolate the machine and let it work in a test tube. Understanding the design by studying the appearance and behavior of the machinery as a single molecule will be an important milestone toward understanding the mechanism of action of the machinery. Techniques covering these topics have also been included. Written in the successful Methods in Molecular Biology (TM) series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and notes on troubleshooting and avoiding known pitfalls. Authoritative and easily accessible, DNA Recombination: Methods and Protocols serves as an ideal guide to scientists of all backgrounds with its well-honed methodologies and strives to bring the reader to the next level of understanding regarding this vital subject.
This book assembles chapters from experts in the Biophysics of RNA to provide a broadly accessible snapshot of the current status of this rapidly expanding field. The 2006 Nobel Prize in Physiology or Medicine was awarded to the discoverers of RNA interference, highlighting just one example of a large number of non-protein coding RNAs. Because non-protein coding RNAs outnumber protein coding genes in mammals and other higher eukaryotes, it is now thought that the complexity of organisms is correlated with the fraction of their genome that encodes non-protein coding RNAs. Essential biological processes as diverse as cell differentiation, suppression of infecting viruses and parasitic transposons, higher-level organization of eukaryotic chromosomes, and gene expression itself are found to largely be directed by non-protein coding RNAs. The biophysical study of these RNAs employs X-ray crystallography, NMR, ensemble and single molecule fluorescence spectroscopy, optical tweezers, cryo-electron microscopy, and other quantitative tools. This emerging field has begun to unravel the molecular underpinnings of how RNAs fulfill their multitude of roles in sustaining cellular life. The physical and chemical understanding of RNA biology that results from biophysical studies is critical to our ability to harness RNAs for use in biotechnology and human therapy, a prospect that has recently spawned a multi-billion dollar industry.
Conservation genetics focuses on understanding the role and
requirement of genetic variation for population persistence.
However, considerable debate now surrounds the role of genetic
factors (as opposed to non-genetic factors such as habitat
destruction etc.) in population extinction, and a comprehensive
synthesis is now timely. Can extinction be explained by habitat
destruction alone or is lack of genetic variation a part of the
explanation? The book thoroughly reviews the arguments for a role
of genetics in the present biodiversity crisis. It describes the
methods used to study genetic variation in endangered species and
examines the influence of genetic variation in the extinction of
species.
This book presents up-to-date information on foxtail millet genomics, with a particular focus on its agronomic importance, genome architecture, marker development, evolutionary and diversity studies, comparative genomics and stress biology. The topics discussed have the potential to open up a new era of crop improvement in foxtail millet and other related grass species. Foxtail millet (Setaria italica L.) is the oldest domesticated crop in the world (domesticated >8700 years ago) and it has been extensively grown in the semi-arid regions of Asia, Europe and the Americas as a food and fodder crop ever since. Further, as a C4 crop with close genetic relatedness to several biofuel grasses, foxtail millet has been promoted as a model plant. In view of its importance, the US Department of Energy Joint Genome Institute and Beijing Genomics Institute have independently sequenced the genome of foxtail millet. The availability of the draft genome sequence has advanced the genomics and genetics of this important crop, resulting in the development of large-scale genome-wide molecular markers and demonstration of their utility in genomics-assisted breeding, as well as the identification of the molecular and biological roles of several stress-responsive gene families in connection with abiotic stress tolerance. In addition, several open access databases have been developed to make these resources for crop improvement through structural and functional genomics widely available.
Epigenetics fine-tunes the life processes dictated by DNA sequences, but also kick-starts pathophysiological processes including diabetes, AIDS and cancer. This volume tracks the latest research on epigenetics, including work on new-generation therapeutics.
Selective cytoplasmic organelle and protein targeting has long been thought to constitute the sole determinant of cell polarity and complexity. This view has been changed, however, by the discovery of differential subcellular RNA distribution patterns. Over the past decade it has become clear that selective mRNA sorting and translation contributes to an accumulation of cognate proteins at discrete cellular sites. In this book, various systems are discussed (e.g. Xenopus oocytes, mammalian brain, invertebrate nervous system) in terms of RNA trafficking, RNA-targeting sequences (cis-elements) and RNA-transporting proteins (trans-factors), activity-dependent translational regulation and the significance of the cytoskeleton for neuronal function and plasticity. It also discusses nucleocytoplasmic export of mRNA and viral RNA as another example of subcellular RNA kinesis. |
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