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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 |
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2 Flg22 Triggers Auxin-Signaling Repression by Inducing a Specific miRNA |
18 |
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3 Does Auxin Play a Role in Bacterial Pathogenenity? |
21 |
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4 Flg22 Triggers Growth Inhibition of Arabidopsis Seedlings |
22 |
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5 Role of DELLA Proteins in Plant Disease Resistance and Susceptibility |
23 |
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6 Are DELLA Proteins Integrators of Plant Defense Pathways? |
24 |
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References |
25 |
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Canine Genetics Facilitates Understanding of Human Biology |
27 |
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1 Introduction to Dogs and Breeds |
27 |
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2 Mapping Disease Genes in Dogs |
28 |
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3 Canine Breed Relationships |
31 |
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4 Advances in Canine Genomics |
32 |
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5 Mapping Genes for Morphology in the Dog |
35 |
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6 Summary and Future Aims |
36 |
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References |
37 |
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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 |
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2 The PRR XA21 Represents a Large Class of Kinases Predicted to Be Involved in Innate Immunity |
44 |
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3 AVRXA21 Activity Requires a Type One Secretion System |
44 |
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4 The AVRXA21 Pathogen-Associated Molecule Is Conserved in Xanthomonas campestris pv. campestris |
47 |
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5 Cell Density Dependent Expression of Rax Genes |
48 |
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6 Perspective |
50 |
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References |
53 |
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Unraveling the Genetic Mysteries of the Cat: New Discoveries in Feline- Inherited Diseases and Traits |
57 |
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1 Cat Phenotypes |
57 |
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2 Cat Diseases |
60 |
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3 Feline Genetic Resources |
63 |
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4 Reproductive Technologies |
64 |
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5 Future of Cat Genetics |
65 |
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References |
66 |
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APPENDIX: Table references |
70 |
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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 |
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2 Genetic Control of Salmonella Resistance in Poultry |
77 |
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3 Conclusions |
79 |
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References |
80 |
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Functional Genomics and Bioinformatics of the Phytophthora sojae Soybean Interaction |
83 |
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1 Introduction |
83 |
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2 Sequencing of Oomycete Genomes |
85 |
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3 Effector Genes in Oomycete Genomes |
86 |
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4 Counter-Play of Plant and Pathogen Genes During Phytophthora Infection of Soybean |
89 |
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References |
92 |
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Canine SINEs and Their Effects on Phenotypes of the Domestic Dog |
95 |
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1 Short Interspersed Elements |
95 |
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2 Merle Patterning |
96 |
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3 A-Tails Are Important |
100 |
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4 Summary |
101 |
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References |
101 |
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Ovine Disease Resistance: Integrating Comparative and Functional Genomics Approaches in a Genome Information- Poor Species |
104 |
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1 Introduction |
105 |
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2 Tools Used to Obtain Candidate Genes 2.1 Resource Flocks for QTL Analysis and Mapping |
107 |
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2.2 Integrated Maps, Comparative Mapping and Meta-analysis |
107 |
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2.3 Association Studies, SNP Chips and LD Mapping |
109 |
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2.4 Microarrays, SELDI-TOF MS and Other High Density Genomic or Proteomic Functional Tools |
113 |
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2.5 Positional Functional Integration |
114 |
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3 An Example: Mapping Genes for Ruminant Fasciolosis |
115 |
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3.1 Resistance to Fasciola |
116 |
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3.2 The Resource Flock for Mapping Fasciolosis Resistance |
116 |
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3.3 Linkage and QTL Analysis for Fasciolosis |
117 |
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3.4 Mapping Fasciolosis QTL in Cattle and Buffalo |
120 |
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3.5 Immunological Characterisation for Functional Positional Integration |
120 |
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3.6 High Density Proteomic and Genomic Functional Screening |
122 |
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3.7 Future Studies and Potential Applications |
122 |
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References |
124 |
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Integrating Genomics to Understand the Marek’s Disease Virus – Chicken Host – Pathogen Interaction |
129 |
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1 Introduction |
129 |
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2 Marek’s Disease |
130 |
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2.1 MD as a Model |
131 |
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2.2 Genetic Resistance |
131 |
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3 Integrating Genomics, Version 1.0 (Before the Genome Sequence) |
132 |
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3.1 Genome-Wide QTL Scans |
133 |
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3.2 Gene Profiling |
134 |
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3.3 VirusÒHost ProteinÒProtein Interaction Screens |
134 |
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4 Integrating Genomics, Version 2.0 (After the Genome Sequence) |
136 |
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4.1 Genome-Wide QTL Scans |
136 |
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4.2 Gene Profiling |
137 |
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4.3 VirusÒHost ProteinÒProtein Interaction Screens |
137 |
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5 Some Final Thoughts |
138 |
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References |
138 |
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Combining Genomic Tools to Dissect Multifactorial Virulence in Pseudomonas aeruginosa |
141 |
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1 Introduction |
141 |
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2 Background 2.1 Pseudomonas aeruginosa is an Opportunistic Human Pathogen |
142 |
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2.2 The Model Host System for Studying Pathogenesis |
143 |
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3 Genomic Sequence of P. aeruginosa, Strain PA14 3.1 Comparative Alignments with Strain PAO1 |
145 |
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3.2 Annotation of the PA14 Genome |
148 |
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4 Relationship Between Genomic Content and Virulence 4.1 Conservation of PA14- Specific Genes and Their Potential Role in Virulence |
151 |
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4.2 Identification of PA14-specific Virulence Genes and Their Conservation in Other Strains |
153 |
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5 Future Directions: Testing Additional Model Hosts |
156 |
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5.1 Wax Moth Injection Model |
156 |
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5.2 Wax Moth Feeding Model |
159 |
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6 Discussion |
160 |
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References |
162 |
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Genetic Dissection of the Interaction Between the Plant Pathogen Xanthomonas campestris pv. vesicatoria and Its Host Plants |
165 |
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1 Introduction |
165 |
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2 Results and Discussion 2.1 The T3SS of Xcv |
167 |
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2.2 Control of T3S by Xcv |
168 |
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2.3 The AvrBs3 Effector Protein |
168 |
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2.4 Plant Target Proteins of AvrBs3 |
169 |
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2.5 Plant Target Genes of AvrBs3 |
170 |
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References |
172 |
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Structure and Function of RXLR Effectors of Plant Pathogenic Oomycetes |
175 |
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1 Introduction |
175 |
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2 The RXLR Sequence Defines a Conserved Domain of Oomycete Avr Proteins |
176 |
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3 The Phytophthora RXLR Domain Mediates Host Targeting in Plasmodium |
178 |
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4 The RXLR Domain Is Not Required for Effector Activities |
179 |
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5 The C-Terminal Region of RXLR Effectors Is Typically More Polymorphic than the Signal Peptide and RXLR Domains |
179 |
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6 Can RXLR Effectors Enter Host Plants in the Absence of the Pathogen? |
180 |
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7 A Model for RXLR Effector Delivery into the Host |
181 |
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8 Virulence Functions of RXLR Effectors |
182 |
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9 Outlook: Too Many Effectors, Too Little Time |
183 |
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References |
183 |
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The Biotrophic Phase of Ustilago maydis: Novel Determinants for Compatibility |
186 |
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1 Introduction |
186 |
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2 Ustilago maydis Does Not Use Aggressive Infection Strategies |
189 |
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3 Ustilago maydis Regulates its Interaction with the Host via a Set of Novel Secreted Protein Effectors |
190 |
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4 Discussion and Outlook |
192 |
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References |
193 |
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Virulence Evolution in Malaria |
195 |
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1 A Hypothesis for Pathogen Virulence |
195 |
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2 Malaria |
197 |
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2.1 Mouse Malaria |
198 |
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2.2 Human Malaria |
198 |
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2.3 Consequences of Malaria Vaccination |
201 |
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3 Vaccine-Driven Virulence Evolution in Other Diseases |
205 |
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4 Conclusions |
206 |
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References |
207 |
|
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The Ins and Outs of Host Recognition of Magnaporthe oryzae |
210 |
|
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1 Sequence Analysis of the AVR1-CO39 Locus |
213 |
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2 Distribution of AVR1-CO39-Like Sequences in Grass-Infecting Isolates of M. orzyae |
216 |
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3 Structure of AVR1-CO39 in Non-rice-Infecting Isolates of M. orzyae |
217 |
|
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4 Structure of AVR1-CO39 Locus in Rice Isolates of M. oryzae |
218 |
|
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5 Genetic and Physical Mapping of the Pi-CO39 (t) Locus |
218 |
|
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6 Comparative DNA Sequence Analysis of Resistant and Susceptible Cultivars at the Pi- CO39 ( t) Locus |
219 |
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+ |
221 |
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References |
222 |
|
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Index |
228 |
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