Plant Functional Genomics

Cover
Erich Grotewold
Springer Science & Business Media, 2003 - 449 Seiten
As more and more plant genomes are sequenced, plant researchers have been inundated with an avalanche of novel methodologies to identify the function of tens of thousands of plant genes. In Plant Functional Genomics, Erich Grotewold has assembled a team of leading plant scientists to describe in detail the most commonly used methods for investigating plant gene function in a wide variety of plants, during plant pathogen interactions, and even in algae. These readily reproducible protocols include computational, molecular, and genetic methodologies designed for both general and specific problems. Here the reader will learn how to identify genes in complex systems that have large genomes, few cells, and mixed cell systems. Readers will also learn the use of powerful computational and statistical tools to help predict gene function, either on the basis of comparative genomics, or from the analysis of complex genome sequences. Because establishing gene function relies on the identification of phenotypes, the authors expand the concept of phenotypes, including the use of multiple outputs as the ultimate phenotypic result of changes in gene activity. Numerous loss-of-function and gain-of-function techniques for discovering gene function are presented in step-by-step detail. Comprehensive and highly practical, Plant Functional Genomics offers plant biologists readily reproducible computational, molecular, and genetic protocols, powerful tools that will enable them, with little or no experience, successfully to investigate any gene function with the most recent methodologies.
 

Was andere dazu sagen - Rezension schreiben

Es wurden keine Rezensionen gefunden.

Ausgewählte Seiten

Inhalt

An Improved Method for Plant BAC Library Construction
3
Constructing GeneEnriched Plant Genomic Libraries Using Methylation Filtration Technology
21
RescueMu Protocols for Maize Functional Genomics
37
Precious Cells Contain Precious Information Strategies and Pitfalls in Expression Analysis from a Few Cells
59
Combined ESTs from PlantMicrobe Interactions Using GC Counting to Determine the Species of Origin
79
IN SILICO PREDICTION OF PLANT GENE FUNCTION
85
Computer Software to Find Genes in Plant Genomic DNA
87
Genomic Colinearity as a Tool for Plant Gene Isolation
109
HighThroughput TAILPCR as a Tool to Identify DNA Flanking Insertions
241
Custom KnockOuts with Hairpin RNAMediated Gene Silencing
273
VirusInduced Gene Silencing
287
Exploring the Potential of Plant RNase P as a Functional Genomics Tool
295
Maintaining Collections of Mutants for Plant Functional Genomics
311
GAIN OF FUNCTION APPROACHES
327
Vector Construction for Gene Overexpression as a Tool to Elucidate Gene Function
329
TDNA Activation Tagging
345

Using Natural Allelic Diversity to Evaluate Gene Function
123
Quantitative Trait Locus Analysis as a Gene Discovery Tool
141
FORWARD AND REVERSE GENETIC STRATEGIES
155
Transposon Tagging Using Activator Ac in Maize
157
TDNA Mutagenesis in Arabidopsis
177
Physical and Chemical Mutagenesis
189
HighThroughput TILLING for Functional Genomics
205
Gene and Enhancer Traps for Gene Discovery
221
PHENOTYPIC PROFILING AS A TOOL TO DETERMINE GENE FUNCTION
363
Expression Profiling Using cDNA Microarrays
365
Open Architecture Expression Profiling of Plant Transcriptomes and Gene Discovery Using GeneCalling Technology
381
Proteomics as a Functional Genomics Tool
395
Metabolite Profiling as a Functional Genomics Tool
415
Growth StageBased Phenotypic Profiling of Plants
427
Index
443
Urheberrecht

Andere Ausgaben - Alle anzeigen

Häufige Begriffe und Wortgruppen

Über den Autor (2003)

Dr. Grotewold is an Associate Professor of Plant Biology at The Ohio State University. He recieved hi Ph.D from the Instituto de Ingenieria Genetics y Bologia Molecular, University of Buenos Aires, Argentina in 1988. His research focuses on Regulation of Gene Expression; Function and Evolution of Myb Proteins; Plant Metabolic Engineering. Combining molecular, cellular, biochemical and genetic approaches, his laboratory investigates fundamental questions regarding the mechanisms by which plants control gene expression, and how transcription factors have impacted plant evolution and speciation. He has started to develop regulatory networks in Arabidopsis that should help explain how the 28,000] Arabidopsis genes are expressed. In addition, he is utilizing his extensive knowledge on transcription factors for plant metabolic engineering.

Bibliografische Informationen