caa a22 4500 467929599 CHVBK 20180406152939.0 cr unu---uuuuu 170328e20060501xx s 000 0 eng 10.1007/s10658-005-4050-2 doi (NATIONALLICENCE)springer-10.1007/s10658-005-4050-2 Ecological Genomics and Epidemiology [Elektronische Daten] [K. Garrett, S. Hulbert, J. Leach, S. Travers] The huge amount of genomic data now becoming available offers both opportunities and challenges for epidemiologists. In this "preview” of likely developments as the field of ecological genomics evolves and merges with epidemiology, we discuss how epidemiology can use new information about genetic sequences and gene expression to form predictions about epidemic features and outcomes and for understanding host resistance and pathogen evolution. DNA sequencing is now complete for some hosts and several pathogens. Microarrays make it possible to measure gene expression simultaneously for thousands of genes. These tools will contribute to plant disease epidemiology by providing information about which resistance or pathogenicity genes are present in individuals and populations, what genes other than those directly involved in resistance and virulence are important in epidemics, the role of the phenotypic status of hosts and pathogens, and the role of the status of the environmental metagenome. Conversely, models of group dynamics supplied by population biology and ecology may be used to interpret gene expression within individual organisms and in populations of organisms. Genomic tools have great potential for improving understanding of resistance gene evolution and the durability of resistance. For example, DNA sequence analysis can be used to evaluate whether an arms race model of co-evolution is supported. Finally, new genomic tools will make it possible to consider the landscape ecology of epidemics in terms of host resistance both as determined by genotype and as expressed in host phenotypes in response to the biotic and abiotic environment. Host phenotype mixtures can be modeled and evaluated, with epidemiological predictions based on phenotypic characteristics such as physiological age and status in terms of induced systemic resistance or systemic acquired resistance. Springer, 2006 Garrett K. Department of Plant Pathology, Kansas State University, 66506, Manhattan, KS, USA aut Hulbert S. Department of Plant Pathology, Kansas State University, 66506, Manhattan, KS, USA aut Leach J. Department of Bioagricultural Sciences and Pest Management, Colorado State University, 80523, Ft. Collins, CO, USA aut Travers S. Department of Plant Pathology, Kansas State University, 66506, Manhattan, KS, USA aut European Journal of Plant Pathology Kluwer Academic Publishers 115/1(2006-05-01), 35-51 0929-1873 115:1<35 2006 115 10658 https://doi.org/10.1007/s10658-005-4050-2 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10658-005-4050-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Garrett K. Department of Plant Pathology, Kansas State University, 66506, Manhattan, KS, USA aut NATIONALLICENCE 700 1- Hulbert S. Department of Plant Pathology, Kansas State University, 66506, Manhattan, KS, USA aut NATIONALLICENCE 700 1- Leach J. Department of Bioagricultural Sciences and Pest Management, Colorado State University, 80523, Ft. Collins, CO, USA aut NATIONALLICENCE 700 1- Travers S. Department of Plant Pathology, Kansas State University, 66506, Manhattan, KS, USA aut NATIONALLICENCE 773 0- European Journal of Plant Pathology Kluwer Academic Publishers 115/1(2006-05-01), 35-51 0929-1873 115:1<35 2006 115 10658 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer