Gene And Protein Evolution

"Our way of understanding evolution has changed completely with the era of genomics, particularly since the emergence of comparative genomics, a discipline allowing the analysis of complete genomes and biological processes over vast periods of time. In this volume, internationally recognized experts present and discuss an update of the evolutionary processes at the onset of organismal diversification and complexity, and review the mechanisms leading to the acquisition of new traits and functions. Different levels of evolution are considered, from internal modules in genes and proteins to interactomes and biological networks, with integration of the influence of both the genomic environment and the ecological context. Particular emphasis will be given to the origin of novel genes and gene functions as well as to the evolutionary impact of the duplication of genetic information, with several chapters devoted to transposable elements. Providing an excellent update on gene and protein evolution, this book will be appreciated by researchers in biology and medicine, biology teachers and anyone interested in evolution and genomics."--Publisher's description.

In Gene Sharing and Evolution Piatigorsky explores the generality and implications of gene sharing throughout evolution and argues that most if not all proteins perform a variety of functions in the same and in different species, and that this is a fundamental necessity for evolution.

This book provides an up-to-date summary of the principles of protein evolution and discusses both the methods available to analyze the evolutionary history of proteins as well as those for predicting their structure-function relationships. Includes a significantly expanded chapter on genome evolution to cover genomes of model organisms sequenced since the completion of the first edition, and organelle genome evolution Retains its reader-friendly, accessible style and organization Contains an updated glossary and new references, including a list of online reference sites

Sequence - Evolution - Function is an introduction to the computational approaches that play a critical role in the emerging new branch of biology known as functional genomics. The book provides the reader with an understanding of the principles and approaches of functional genomics and of the potential and limitations of computational and experimental approaches to genome analysis. Sequence - Evolution - Function should help bridge the "digital divide" between biologists and computer scientists, allowing biologists to better grasp the peculiarities of the emerging field of Genome Biology and to learn how to benefit from the enormous amount of sequence data available in the public databases. The book is non-technical with respect to the computer methods for genome analysis and discusses these methods from the user's viewpoint, without addressing mathematical and algorithmic details. Prior practical familiarity with the basic methods for sequence analysis is a major advantage, but a reader without such experience will be able to use the book as an introduction to these methods. This book is perfect for introductory level courses in computational methods for comparative and functional genomics.

In Gene Sharing and Evolution Piatigorsky explores the generality and implications of gene sharing throughout evolution and argues that most if not all proteins perform a variety of functions in the same and in different species, and that this is a fundamental necessity for evolution.

Evolving Genes and Proteins covers the proceedings of the "Evolving Genes and Proteins" symposium, held at the Institute of Microbiology of Rutgers, The State University on September 17 and 18, 1964, with support from the National Science Foundation. The book focuses on the structural and functional features of proteins and nucleic acids. The selection first offers information on lysine biosynthesis and evolution, lipid patterns in the evolution of organisms, and evolution of heme and chlorophyll. Discussions focus on the evolution of the genes of the porphyrin biosynthetic chain, polyunsaturated fatty acids in plants and animals, and diagnostic radiocarbon tracers. The text then examines evolutionary divergence and convergence in proteins; evolution of hemoglobin in primates; and constancy and variability of protein structure in respiratory and viral proteins. The publication takes a look at the comparative aspects of the structure and function of phosphoglucomutase, evolution of dehydrogenases, and enzymatic homology and analogy in phylogeny. The text also ponders on the evolution of an enzyme, role of mutations in evolution, enzyme catalysis and color of light in bioluminescent reactions, and evolution of the lactose utilization gene system in enteric bacteria. The selection is a valuable reference for microbiologists and readers interested in the study of genes and proteins.

This volume presents a diverse collection of methodologies used to study various problems at the protein sequence and structure level. The chapters in this book look at issues ranging from broad concepts like protein space to specifics like antibody modeling. Topics include point mutations, gene duplication, de novo emergence of new genes, pairwise correlated mutations, ancestral protein reconstruction, homology modelling, protein stability and dynamics, and protein-protein interactions. The book also covers a wide range of computational approaches, including sequence and structure alignments, phylogenies, physics-based and mathematical approaches, machine learning, and more. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and prerequisites, step-by-step, readily reproducible computational protocols (using command line or graphical user interfaces, sometimes including computer code), and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and authoritative, Computational Methods in Protein Evolution is a valuable resource that offers useful workflows and techniques that will help both novice and expert researchers working with proteins computationally.