Rice has been chosen as a model cereal for functional genomics because of its well understood genetics. In addition, there is great similarities among all the cereals and grasses: any understanding of rice genes is directly applicable to the genes of other cereals. This book details rice functional genomics. It takes a multi-pronged genome-wide approach using structural similarities, expression profiles, and mutant phenotypes. Coverage includes the current status of genome sequencing and annotation, various tools, and resources being developed worldwide.
This book provides a comprehensive coverage of the advances in genetics and genomics research on rice. The chapters feature the latest developments in rice research and cover such topics as the tools and resources for the functional analysis of rice genes, the identification of useful genes for rice improvement, the present understanding of rice development and biological processes, and the application of this present understanding towards rice improvement. The volume also features a perspective on synthesis and prospects, laying the groundwork for future advances in rice genetics and genomics. Written by authorities in the field, Genetics and Genomics of Rice will serve as an invaluable reference for rice researchers for years to come.
Rice has been chosen as a model cereal for functional genomics because of its well understood genetics. In addition, there is great similarities among all the cereals and grasses: any understanding of rice genes is directly applicable to the genes of other cereals. This book details rice functional genomics. It takes a multi-pronged genome-wide approach using structural similarities, expression profiles, and mutant phenotypes. Coverage includes the current status of genome sequencing and annotation, various tools, and resources being developed worldwide.
This book provides an up-to-date review of classic and advanced bioinformatics approaches and their utility in rice research. It summarizes databases and tools for analyzing DNA, proteins and gene expression profiles, mapping genetic variations, annotation of protein and RNA molecules, phylogenetic analysis, and pathway enrichment. In addition, it presents high-throughput technologies that are widely used to provide deep insights into the genetic architecture of important traits in the rice genome. The book subsequently discusses techniques for identifying RNA-protein, DNA-protein interactions, and molecular markers, including SNP and microsatellites, in the contexts of rice breeding and genetics. Lastly, it explores various tools that are used to identify and characterize non-coding RNA in rice and their potential role in rice research.
Rice blast, caused by the fungal pathogen Magnaporthe grisea, is one of the most destructive rice diseases worldwide and destroys enough rice to feed more than 60 million people annually. Due to high variability of the fungal population in the field, frequent loss of resistance of newly-released rice cultivars is a major restraint in sustainable rice production. In the last few years, significant progress has been made in understanding the defense mechanism of rice and pathogenicity of the fungus. The rice blast system has become a model pathosystem for understanding the molecular basis of plant-fungal interactions due to the availability of both genomes of rice and M. grisea and a large collection of genetic resources. This book provides a complete review of the recent progress and achievements on genetic, genomic and disease control of the disease. Most of the chapters were presented at the 4th International Rice Blast Conference held on October 9-14, 2007 in Changsha, China. This book is a valuable reference not only for plant pathologists and breeders working on rice blast but also for those working on other pathysystems in crop plants.
Together 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.
Genetics and breeding of agronomic traits. Genetic diversity, evolution, and alien introgression. Molecular markers, QTL mapping, and marker-assisted selection. Genomics. Gene isolation and function. Tissue culture and transformation. Genetics of rice pathogens.
This book presents the latest advances in rice genomics, genetics and breeding, with a special focus on their importance for rice biology and how they are breathing new life into traditional genetics. Rice is the main staple food for more than half of the world’s population. Accordingly, sustainable rice production is a crucial issue, particularly in Asia and Africa, where the population continues to grow at an alarming rate. The book’s respective chapters offer new and timely perspectives on the synergistic effects of genomics and genetics in novel rice breeding approaches, which can help address the urgent issue of providing enough food for a global population that is expected to reach 9 billion by 2050.
With the completion of a finished rice genome sequence, increasing efforts have focused on functional characterization of rice genes, elucidation of the underlying mechanisms involved in major agronomic traits (e.g., high yield, grain quality, abiotic stress tolerance, and disease resistance), and the subsequent translation of genomic knowledge into agricultural productivity via molecular breeding and improved cultural practice. To meet increasing interest in this field, Rice Protocols has been compiled to provide a series of core techniques and approaches commonly used in studying rice molecular biology and functional genomics. These approaches include genetic and molecular techniques such as artificial hybridization, fluorescence in situ hybridization, generation and characterization of chemical and T-DNA insertional mutants, quantitative trait loci (QTLs) analysis and map-based cloning, site-specific transgene integration, and artificial microRNA-mediated gene silencing, along with a variety of “omics” techniques. Written in the highly successful Methods in Molecular BiologyTM 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. Authoritative and easy to use, Rice Protocols will prove useful for both beginners and experienced researchers whether they are molecular biologists who want to study rice plants or rice researchers who are interested in learning molecular techniques.
Functional genomics is a young discipline whose origin can be traced back to the late 1980s and early 1990s, when molecular tools became available to determine the cellular functions of genes. Today, functional genomics is p- ceived as the analysis, often large-scale, that bridges the structure and organi- tion of genomes and the assessment of gene function. The completion in 2000 of the genome sequence of Arabidopsis thaliana has created a number of new and exciting challenges in plant functional genomics. The immediate task for the plant biology community is to establish the functions of the approximately 25,000 genes present in this model plant. One major issue that will remain even after this formidable task is c- pleted is establishing to what degree our understanding of the genome of one model organism, such as the dicot Arabidopsis, provides insight into the or- nization and function of genes in other plants. The genome sequence of rice, completed in 2002 as a result of the synergistic interaction of the private and public sectors, promises to significantly enrich our knowledge of the general organization of plant genomes. However, the tools available to investigate gene function in rice are lagging behind those offered by other model plant systems. Approaches available to investigate gene function become even more limited for plants other than the model systems of Arabidopsis, rice, and maize.