Methods for Plant Molecular Biology is a collection of articles that focuses on the techniques used in plant molecular biology and genetics. The book discusses the isolation and characterization of nuclear, chloroplast, and mitochondrial nucleic acids and the factors and systems involved in transcription and gene expression. Procedures for the isolation of cell walls, chloroplast membranes, membrane proteins; techniques to carry out plant cell culture and protoplast formation; and methods for gene and organelle transfer are covered as well. Biologists, molecular biologists, botanists, and students will find the book very useful.

Methods in Plant Molecular Biology and Biotechnology emphasizes a variety of well-tested methods in plant molecular biology and biotechnology. For each detailed and tested protocol presented, a brief overview of the methodology is provided. This overview considers why the protocol is used, what other comparable methods are available, and what limitations can be expected with the protocol. Other chapters in the book present overviews regarding how to approach particular problems and introduce unique methods - such as how to use computer methodology to study isolated genes. The book will be a practical reference for plant physiologists, plant molecular biologists, phytopathologists, and microbiologists.

A single source of reference to key data and information required by the plant molecular biologist on an almost daily basis. A team of editors and contributors have compiled this manual to provide a guide to researchers in the most important basic and applied aspects of plant molecular biology.

This book aims to describe some of the important recent developments in plant genotyping. It is based upon a second workshop held recently to review progress in this area. Recent developments focus on high- throughput methods and generally target single nucleotide polymorphism (SNP) discovery and analysis. The topics covered include: SNP discovery in plants; SNPs and their use in maize; rare SNP discovery with endonucleases; sequence polymorphisms in the flanking regions of microsatellite markers; SNP discovery by ecotilling using capillary electrophoresis; genotyping by allele-specific PCR; the MassARRAY system for plant genomics; mutation screening; nanotechnology (the future of cost-effective plant genotyping); functionally associated molecular genetic markers for temperate pasture plant improvement; genotyping for rice eating qualities; towards universal loci for plant genotyping; DNA banks as a resource for SNP genotyping; DNA extraction from plant tissue; future prospects for plant genotyping.

Presented here is an analysis of plant development and plant metabolism using the tools of genetics and molecular biology, such as mutant analysis, mutation tagging, mapping using polymorphic characters and basic molecular biology techniques. Studies with a range of model genetic organisms, most notably maize and Arabidopsis, are included. The reader gains a comprehensive view of the subject which is more and more of both scientific and industrial interest. The value of basic research in plants is highlighted and examples where basic studies have led to applications in agricultural biotechnology are given.

The amount of information that can be obtained by using molecular techniques in evolution, systematics and ecology has increased exponentially over the last ten years. The need for more rapid and efficient methods of data acquisition and analysis is growing accordingly. This manual presents some of the most important techniques for data acquisition developed over the last years. The choice and justification of data analysis techniques is also an important and critical aspect of modern phylogenetic and evolutionary analysis and so a considerable part of this volume addresses this important subject. The book is mainly written for students and researchers from evolutionary biology in search for methods to acquire data, but also from molecular biology who might be looking for information on how data are analyzed in an evolutionary context. To aid the user, information on web-located sites is included wherever possible. Approaches that will push the amount of information which systematics will gather in the

"Provides an in-depth review of current print and electronic tools for research in numerous disciplines of biology, including dictionaries and encyclopedias, method guides, handbooks, on-line directories, and periodicals. Directs readers to an associated Web page that maintains the URLs and annotations of all major Inernet resources discussed in th

High Performance Computational Methods for Biological Sequence Analysis presents biological sequence analysis using an interdisciplinary approach that integrates biological, mathematical and computational concepts. These concepts are presented so that computer scientists and biomedical scientists can obtain the necessary background for developing better algorithms and applying parallel computational methods. This book will enable both groups to develop the depth of knowledge needed to work in this interdisciplinary field. This work focuses on high performance computational approaches that are used to perform computationally intensive biological sequence analysis tasks: pairwise sequence comparison, multiple sequence alignment, and sequence similarity searching in large databases. These computational methods are becoming increasingly important to the molecular biology community allowing researchers to explore the increasingly large amounts of sequence data generated by the Human Genome Project and other related biological projects. The approaches presented by the authors are state-of-the-art and show how to reduce analysis times significantly, sometimes from days to minutes. High Performance Computational Methods for Biological Sequence Analysis is tremendously important to biomedical science students and researchers who are interested in applying sequence analyses to their studies, and to computational science students and researchers who are interested in applying new computational approaches to biological sequence analyses.

JACQUES S. BECKMANN & THOMAS C. OSBORN Extraordinary progress has been made in the analyses of the genetic structures of higher eukaryotic genomes. Only ten years elapsed between the initial proposals to use molecular DNA markers for the generation of a complete linkage map of the human genome [5, 17] and the first description of a 10 centimorgan map of one of its chromosomes [22], soon to be followed by others. The availability of molecular DNA markers, henceforth called genomic markers [for a review of their properties see 1, 2, 20], represents a milestone in genetics by providing the capacity for complete genetic coverage of all genomes. It is important to remember that the nature of the DNA polymorphism or of the specific method used to uncover it can be quite different for different marker loci. The genetic variation detected can be a result of a simple point mutation, a DNA insertion/deletion event, or a change in repeat copy number at some hypervariable DNA [11] or micro satellite [21] motif. Currently, the methods of detection can involve use of restriction endonucleases, nucleic acid hybridization, or DNA sequence amplification. Each of these sources of var iation and methods of detection can have utility for different applications. Furthermore, new approaches for the detection of DNA polymorphism are constantly emerging. The primary concern here is that the monitored poly morphism defines a genetic marker 'useful' for the desired application.

For centuries, TK has been used almost exclusively by its creators, that is, indigenous and local communities. Access to, use of and handing down of TK has been regulated by local laws, customs and tmditions. Some TK has been freely accessible by all members of an indigenous or local community and has been freely exchanged with other communities; other TK has only been known to particular individuals within these communities such as shamans, and has been handed down only to particular individuals of thc next generation. Over many generations, indigenous and local communities have accumulated a great deal of TK which has generally been adapted, developed and improved by the generations that followed. For a long time, Western anthropologists and other scientists have generally been able to freely access TK and have documented it in their works. Still, this TK was only seldom used outside the indigenous and local communities that created it. More recently, however, Western scientists have become aware that TK is neither outdated nor valueless knowledge, but, instead, 1 can be useful to solve some of the problems facing today's world. Modem science, for example, has shown an increased interest in some fornls ofTK as knowledge that can be used in 4 research and development (R&D) activities and be integrated in modem innovations. This holds especially true for TK regarding genetic resources, which has been integrated in modem 6 phannaceuticals,s agro-chemicals and seed.