: JP Gustafson, J. Taylor, G. Stacey
: J.P. Gustafson, J. Tayler, Glyn Stacey
: Genomics of Disease
: Springer-Verlag
: 9780387767239
: 1
: CHF 131.80
:
: Klinische Fächer
: English
: 222
: Wasserzeichen/DRM
: PC/MAC/eReader/Tablet
: PDF

This title develops from the 24th Stadler symposium. It explores the general theme 'GENOME EXPLOITATION: Data Mining the Genomes'. The idea behind the theme is to discuss and illustrate how scientists are going to characterize and make use of the massive amount of information being accumulated about plant and animal genomes. The book presents a state-of-the-art picture on mining the Genome databases. Its chapters are authored by key stars in the field.

Acknowledgments6
Contents7
Contributors9
Roles of Plant Hormones in Plant Resistance and Susceptibility to Pathogens17
1 Introduction17
2 Flg22 Triggers Auxin-Signaling Repression by Inducing a Specific miRNA18
3 Does Auxin Play a Role in Bacterial Pathogenenity?21
4 Flg22 Triggers Growth Inhibition of Arabidopsis Seedlings22
5 Role of DELLA Proteins in Plant Disease Resistance and Susceptibility23
6 Are DELLA Proteins Integrators of Plant Defense Pathways?24
References25
Canine Genetics Facilitates Understanding of Human Biology27
1 Introduction to Dogs and Breeds27
2 Mapping Disease Genes in Dogs28
3 Canine Breed Relationships31
4 Advances in Canine Genomics32
5 Mapping Genes for Morphology in the Dog35
6 Summary and Future Aims36
References37
Xanthomonas oryzae pv. oryzae AvrXA21 Activity Is Dependent on a Type One Secretion System, Is Regulated by a Two- Component Regulatory System that Responds to Cell Population Density, and Is Conserved in Other Xanthomonas spp.41
1 Detection of Pathogens by Plants and Animal Hosts42
2 The PRR XA21 Represents a Large Class of Kinases Predicted to Be Involved in Innate Immunity44
3 AVRXA21 Activity Requires a Type One Secretion System44
4 The AVRXA21 Pathogen-Associated Molecule Is Conserved in Xanthomonas campestris pv. campestris47
5 Cell Density Dependent Expression of Rax Genes48
6 Perspective50
References53
Unraveling the Genetic Mysteries of the Cat: New Discoveries in Feline- Inherited Diseases and Traits57
1 Cat Phenotypes57
2 Cat Diseases60
3 Feline Genetic Resources63
4 Reproductive Technologies64
5 Future of Cat Genetics65
References66
APPENDIX: Table references70
Variation in Chicken Gene Structure and Expression Associated with Food-Safety Pathogen Resistance: Integrated Approaches to Salmonella Resistance73
1 Rationale and Strategies for Uncovering Genetic Resistance to Food- Safety Pathogens in Poultry73
2 Genetic Control of Salmonella Resistance in Poultry77
3 Conclusions79
References80
Functional Genomics and Bioinformatics of the Phytophthora sojae Soybean Interaction83
1 Introduction83
2 Sequencing of Oomycete Genomes85
3 Effector Genes in Oomycete Genomes86
4 Counter-Play of Plant and Pathogen Genes During Phytophthora Infection of Soybean89
References92
Canine SINEs and Their Effects on Phenotypes of the Domestic Dog95
1 Short Interspersed Elements95
2 Merle Patterning96
3 A-Tails Are Important100
4 Summary101
References101
Ovine Disease Resistance: Integrating Comparative and Functional Genomics Approaches in a Genome Information- Poor Species104
1 Introduction105
2 Tools Used to Obtain Candidate Genes 2.1 Resource Flocks for QTL Analysis and Mapping107
2.2 Integrated Maps, Comparative Mapping and Meta-analysis107
2.3 Association Studies, SNP Chips and LD Mapping109
2.4 Microarrays, SELDI-TOF MS and Other High Density Genomic or Proteomic Functional Tools113
2.5 Positional Functional Integration114
3 An Example: Mapping Genes for Ruminant Fasciolosis115
3.1 Resistance to Fasciola116
3.2 The Resource Flock for Mapping Fasciolosis Resistance116
3.3 Linkage and QTL Analysis for Fasciolosis117
3.4 Mapping Fasciolosis QTL in Cattle and Buffalo120
3.5 Immunological Characterisation for Functional Positional Integration120
3.6 High Density Proteomic and Genomic Functional Screening122
3.7 Future Studies and Potential Applications122
References124
Integrating Genomics to Understand the Marek’s Disease Virus – Chicken Host – Pathogen Interaction129
1 Introduction129
2 Marek’s Disease130
2.1 MD as a Model131
2.2 Genetic Resistance131
3 Integrating Genomics, Version 1.0 (Before the Genome Sequence)132
3.1 Genome-Wide QTL Scans133
3.2 Gene Profiling134
3.3 VirusÒHost ProteinÒProtein Interaction Screens134
4 Integrating Genomics, Version 2.0 (After the Genome Sequence)136
4.1 Genome-Wide QTL Scans136
4.2 Gene Profiling137
4.3 VirusÒHost ProteinÒProtein Interaction Screens137
5 Some Final Thoughts138
References138
Combining Genomic Tools to Dissect Multifactorial Virulence in Pseudomonas aeruginosa141
1 Introduction141
2 Background 2.1 Pseudomonas aeruginosa is an Opportunistic Human Pathogen142
2.2 The Model Host System for Studying Pathogenesis143
3 Genomic Sequence of P. aeruginosa, Strain PA14 3.1 Comparative Alignments with Strain PAO1145
3.2 Annotation of the PA14 Genome148
4 Relationship Between Genomic Content and Virulence 4.1