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Thirty years ago, biologists could get by with a rudimentary grasp of mathematics and modeling. Not so today. In seeking to answer fundamental questions about how biological systems function and change over time, the modern biologist is as likely to rely on sophisticated mathematical and computer-based models as traditional fieldwork. In this book, Sarah Otto and Troy Day provide biology students with the tools necessary to both interpret models and to build their own. The book starts at an elementary level of mathematical modeling, assuming that the reader has had high school mathematics and first-year calculus. Otto and Day then gradually build in depth and complexity, from classic models ...
Homology Effects offers contributions from an international panel of researchers whose aim has been both to introduce newcomers to the field of homology effects, and to bring colleagues up to date. Topic coverage includes dosage compensation, X-inactivation, imprinting, paramutation, homology-dependent gene silencing, transvection, pairing-sensitive silencing, nuclear organization of chromosomes, DNA repair, quelling, RIP, RNAi and antisense biology, homology effects in ciliates, prion biology, and a discourse on the evolution of gene duplications. Advances in Genetics presents an eclectic mix of articles of use to all human and molecular geneticists. They are written and edited by recognize...
These proceedings contain 43 papers on the aspects of seed conservation, development, biotechnology, germination, dormancy and ecology.
Research on gene drive systems is rapidly advancing. Many proposed applications of gene drive research aim to solve environmental and public health challenges, including the reduction of poverty and the burden of vector-borne diseases, such as malaria and dengue, which disproportionately impact low and middle income countries. However, due to their intrinsic qualities of rapid spread and irreversibility, gene drive systems raise many questions with respect to their safety relative to public and environmental health. Because gene drive systems are designed to alter the environments we share in ways that will be hard to anticipate and impossible to completely roll back, questions about the eth...
In science, more than elsewhere, a word is expected to mean what it says, nothing more, nothing less. But scientific discourse is neither different nor separable from ordinary language--meanings are multiple, ambiguities ubiquitous. Keywords in Evolutionary Biology grapples with this problem in a field especially prone to the confusion engendered by semantic imprecision. Written by historians, philosophers, and biologists--including, among others, Stephen Jay Gould, Diane Paul, John Beatty, Robert Richards, Richard Lewontin, David Sloan Wilson, Peter Bowler, and Richard Dawkins--these essays identify and explicate those terms in evolutionary biology which, though commonly used, are plagues b...
From a mathematical point of view, physiologically structured population models are an underdeveloped branch of the theory of infinite dimensional dynamical systems. We have called attention to four aspects: (i) A choice has to be made about the kind of equations one extracts from the predominantly verbal arguments about the basic assumptions, and subsequently uses as a starting point for a rigorous mathematical analysis. Though differential equations are easy to formulate (different mechanisms don't interact in infinites imal time intervals and so end up as separate terms in the equations) they may be hard to interpret rigorously as infinitesimal generators. Integral equations constitute an...
The first volume to address the study of evolutionary transitions in plants, Major Evolutionary Transitions in Flowering Plant Reproduction brings together compelling work from the three areas of significant innovation in plant biology: evolution and adaptation in flowers and pollination, mating patterns and gender strategies, and asexual reproduction and polyploidy. Spencer C. H. Barrett assembles here a distinguished group of authors who address evolutionary transitions using comparative and phylogenetic approaches, the tools of genomics, population genetics, and theoretical modeling, and through studies in development and field experiments in ecology. With special focus on evolutionary transitions and shifts in reproductive characters—key elements of biological diversification and research in evolutionary biology—Major Evolutionary Transitions in Flowering Plant Reproduction is the most up-to-date treatment of a fast-moving area of evolutionary biology and ecology.
Quantitative traits-be they morphological or physiological characters, aspects of behavior, or genome-level features such as the amount of RNA or protein expression for a specific gene-usually show considerable variation within and among populations. Quantitative genetics, also referred to as the genetics of complex traits, is the study of such characters and is based on mathematical models of evolution in which many genes influence the trait and in which non-genetic factors may also be important. Evolution and Selection of Quantitative Traits presents a holistic treatment of the subject, showing the interplay between theory and data with extensive discussions on statistical issues relating ...
Dynamic Models in Biology offers an introduction to modern mathematical biology. This book provides a short introduction to modern mathematical methods in modeling dynamical phenomena and treats the broad topics of population dynamics, epidemiology, evolution, immunology, morphogenesis, and pattern formation. Primarily employing differential equations, the author presents accessible descriptions of difficult mathematical models. Recent mathematical results are included, but the author's presentation gives intuitive meaning to all the main formulae. Besides mathematicians who want to get acquainted with this relatively new field of applications, this book is useful for physicians, biologists,...
This book uses evolution as the unifying theme to trace the connections between levels of biological complexity from genes through nervous systems, animal societies, and human cultures. It examines the history of evolutionary theory from Darwin to the present, including: the impact of molecular biology and the emergence of evolutionary social theory.