| Acknowledgments | 6 |
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| Contents | 7 |
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| Contributors | 9 |
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| Roles of Plant Hormones in Plant Resistance and Susceptibility to Pathogens | 17 |
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| 1 Introduction | 17 |
| 2 Flg22 Triggers Auxin-Signaling Repression by Inducing a Specific miRNA | 18 |
| 3 Does Auxin Play a Role in Bacterial Pathogenenity? | 21 |
| 4 Flg22 Triggers Growth Inhibition of Arabidopsis Seedlings | 22 |
| 5 Role of DELLA Proteins in Plant Disease Resistance and Susceptibility | 23 |
| 6 Are DELLA Proteins Integrators of Plant Defense Pathways? | 24 |
| References | 25 |
| Canine Genetics Facilitates Understanding of Human Biology | 27 |
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| 1 Introduction to Dogs and Breeds | 27 |
| 2 Mapping Disease Genes in Dogs | 28 |
| 3 Canine Breed Relationships | 31 |
| 4 Advances in Canine Genomics | 32 |
| 5 Mapping Genes for Morphology in the Dog | 35 |
| 6 Summary and Future Aims | 36 |
| References | 37 |
| 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 |
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| 1 Detection of Pathogens by Plants and Animal Hosts | 42 |
| 2 The PRR XA21 Represents a Large Class of Kinases Predicted to Be Involved in Innate Immunity | 44 |
| 3 AVRXA21 Activity Requires a Type One Secretion System | 44 |
| 4 The AVRXA21 Pathogen-Associated Molecule Is Conserved in Xanthomonas campestris pv. campestris | 47 |
| 5 Cell Density Dependent Expression of Rax Genes | 48 |
| 6 Perspective | 50 |
| References | 53 |
| Unraveling the Genetic Mysteries of the Cat: New Discoveries in Feline- Inherited Diseases and Traits | 57 |
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| 1 Cat Phenotypes | 57 |
| 2 Cat Diseases | 60 |
| 3 Feline Genetic Resources | 63 |
| 4 Reproductive Technologies | 64 |
| 5 Future of Cat Genetics | 65 |
| References | 66 |
| APPENDIX: Table references | 70 |
| Variation in Chicken Gene Structure and Expression Associated with Food-Safety Pathogen Resistance: Integrated Approaches to Salmonella Resistance | 73 |
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| 1 Rationale and Strategies for Uncovering Genetic Resistance to Food- Safety Pathogens in Poultry | 73 |
| 2 Genetic Control of Salmonella Resistance in Poultry | 77 |
| 3 Conclusions | 79 |
| References | 80 |
| Functional Genomics and Bioinformatics of the Phytophthora sojae Soybean Interaction | 83 |
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| 1 Introduction | 83 |
| 2 Sequencing of Oomycete Genomes | 85 |
| 3 Effector Genes in Oomycete Genomes | 86 |
| 4 Counter-Play of Plant and Pathogen Genes During Phytophthora Infection of Soybean | 89 |
| References | 92 |
| Canine SINEs and Their Effects on Phenotypes of the Domestic Dog | 95 |
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| 1 Short Interspersed Elements | 95 |
| 2 Merle Patterning | 96 |
| 3 A-Tails Are Important | 100 |
| 4 Summary | 101 |
| References | 101 |
| Ovine Disease Resistance: Integrating Comparative and Functional Genomics Approaches in a Genome Information- Poor Species | 104 |
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| 1 Introduction | 105 |
| 2 Tools Used to Obtain Candidate Genes 2.1 Resource Flocks for QTL Analysis and Mapping | 107 |
| 2.2 Integrated Maps, Comparative Mapping and Meta-analysis | 107 |
| 2.3 Association Studies, SNP Chips and LD Mapping | 109 |
| 2.4 Microarrays, SELDI-TOF MS and Other High Density Genomic or Proteomic Functional Tools | 113 |
| 2.5 Positional Functional Integration | 114 |
| 3 An Example: Mapping Genes for Ruminant Fasciolosis | 115 |
| 3.1 Resistance to Fasciola | 116 |
| 3.2 The Resource Flock for Mapping Fasciolosis Resistance | 116 |
| 3.3 Linkage and QTL Analysis for Fasciolosis | 117 |
| 3.4 Mapping Fasciolosis QTL in Cattle and Buffalo | 120 |
| 3.5 Immunological Characterisation for Functional Positional Integration | 120 |
| 3.6 High Density Proteomic and Genomic Functional Screening | 122 |
| 3.7 Future Studies and Potential Applications | 122 |
| References | 124 |
| Integrating Genomics to Understand the Marek’s Disease Virus – Chicken Host – Pathogen Interaction | 129 |
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| 1 Introduction | 129 |
| 2 Marek’s Disease | 130 |
| 2.1 MD as a Model | 131 |
| 2.2 Genetic Resistance | 131 |
| 3 Integrating Genomics, Version 1.0 (Before the Genome Sequence) | 132 |
| 3.1 Genome-Wide QTL Scans | 133 |
| 3.2 Gene Profiling | 134 |
| 3.3 VirusÒHost ProteinÒProtein Interaction Screens | 134 |
| 4 Integrating Genomics, Version 2.0 (After the Genome Sequence) | 136 |
| 4.1 Genome-Wide QTL Scans | 136 |
| 4.2 Gene Profiling | 137 |
| 4.3 VirusÒHost ProteinÒProtein Interaction Screens | 137 |
| 5 Some Final Thoughts | 138 |
| References | 138 |
| Combining Genomic Tools to Dissect Multifactorial Virulence in Pseudomonas aeruginosa | 141 |
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| 1 Introduction | 141 |
| 2 Background 2.1 Pseudomonas aeruginosa is an Opportunistic Human Pathogen | 142 |
| 2.2 The Model Host System for Studying Pathogenesis | 143 |
| 3 Genomic Sequence of P. aeruginosa, Strain PA14 3.1 Comparative Alignments with Strain PAO1 | 145 |
| 3.2 Annotation of the PA14 Genome | 148 |
| 4 Relationship Between Genomic Content and Virulence 4.1
|