Information networks for disease: Commonalities in human management networks and within-host signalling networks

European Journal of Plant Pathology

Volumn 133, Issue 1, 2012, Pages 75-88

  Garrett, K A ^a  

^a KANSAS STATE UNIVERSITY   (United States)

Author keywords

Biofilms; Decision making; Dynamic networks; Host as habitat; Mesoscale networks; Multi scale modelling; Quorum sensing; Systems biology

Indexed keywords

BIOFILM; DECISION MAKING; DISEASE CONTROL; DISEASE INCIDENCE; ENVIRONMENTAL CONDITIONS; EPIDEMIC; EPIDEMIOLOGY; GAME THEORY; HORMONE; MICROBIAL COMMUNITY; MOVEMENT; NETWORK ANALYSIS; NUMERICAL MODEL; PATHOGENICITY; PLANT COMMUNITY; POLICY APPROACH; STAKEHOLDER;

EID: 84859106195     PISSN: 09291873     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10658-012-9963-y     Document Type: Article

References (114)

1. Agliari, E., Burioni, R., Cassi, D., & Neri, F. M. (2006). Efficiency of information spreading in a population of diffusing agents. Physical Review E, 73. art046138.
2. Al-Naimi, F. A., Garrett, K. A., & Bockus, W. W. (2005). Competition, facilitation, and niche differentiation in two foliar pathogens. Oecologia, 143, 449-457.
3. Alston, J. M., Pardey, P. G., James, J. S., & Andersen, M. A. (2009). The economics of agricultural R& D. Annual Review of Resource Economics, 1, 537-565.
4. Andersson, H. (1997). Epidemics in a population with social structures. Mathematical Biosciences, 140, 79-84.
5. Atkinson, S., & Williams, P. (2009). Quorum sensing and social networking in the microbial world. Journal of the Royal Society, Interface, 6, 959-978.
6. Baldwin, I. T., Halitschke, R., Paschold, A., von Dahl, C. C., & Preston, C. A. (2006). Volatile signalling in plant-plant interactions: "Talking trees" in the genomics era. Science, 311, 812-815.
7. Barabasi, A. L., & Albert, R. (1999). Emergence of scaling in random networks. Science, 286, 509-512.
8. Barrat, A., Barthelemy, M., Pastor-Satorras, R., & Vespignani, A. (2004). The architecture of complex weighted networks. Proceedings of the National Academy of Sciences of the United States of America, 101, 3747-3752.
9. Barthelemy, M. (2011). Spatial networks. Physics Reports - Review Section of Physics Letters, 499, 1-101.
10. Biek, R., & Real, L. A. (2010). The landscape genetics of infectious disease emergence and spread. Molecular Ecology, 19, 3515-3531.
11. Blasius, B., Kaluza, P., Kolzsch, A., & Gastner, M. T. (2010). The complex network of global cargo ship movements. Journal of the Royal Society, Interface, 7, 1093-1103.
12. Blick, R., & Burns, K. C. (2009). Network properties of arboreal plants: Are epiphytes, mistletoes and lianas structured similarly? Perspectives in Plant Ecology Evolution and Systematics, 11, 41-52.
13. Bolino, M. C., Turnley, W. H., & Bloodgood, J. M. (2002). Citizenship behavior and the creation of social capital in organizations. Academy of Management Review, 27, 505-522.
14. Bostock, R. M. (2005). Signal crosstalk and induced resistance: straddling the line between cost and benefit. Annual Review of Phytopathology, 43, 545-580.
15. Brooks, C. P., Antonovics, J., & Keitt, T. H. (2008). Spatial and temporal heterogeneity explain disease dynamics in a spatially explicit network model. American Naturalist, 172, 149-159.
16. Calonnec, A., Goyeau, H., & deVallaviellePope, C. (1996). Effects of induced resistance on infection efficiency and sporulation of Puccinia striiformis on seedlings in varietal mixtures and on field epidemics in pure stands. European Journal of Plant Pathology, 102, 733-741.
17. Chadès, I., Martin, T. G., Nicol, S., Burgman, M. A., Possingham, H. P., & Buckley, Y. M. (2011). General rules for managing and surveying networks of pests, diseases, and endangered species. Proceedings of the National Academy of Sciences of the United States of America, 108, 8323-8328.
18. Cheatham, M. R., et al. (2009). Beyond yield: Plant disease in the context of ecosystem services. Phytopathology, 99, 1228-1236.
19. Cornforth, D. M., Reluga, T. C., Shim, E., Bauch, C. T., Galvani, A. P., & Meyers, L. A. (2011). Erratic flu vaccination emerges from short-sighted behavior in contact networks. PLoS Computational Biology, 7.
20. Cui, J., et al. (2005). Pseudomonas syringae manipulates systemic plant defenses against pathogens and herbivores. Proceedings of the National Academy of Sciences of the United States of America, 102, 1791-1796.
21. Dale, M. R. T., & Fortin, M.-J. (2010). From graphs to spatial graphs. Annual Review of Ecology, Evolution, and Systematics, 41, 21-38.
22. Dawkins, R. (1976). The selfish gene: Oxford University Press.
23. Dehnen-Schmutz, K., Holdenrieder, O., Jeger, M. J., & Pautasso, M. (2010). Structural change in the international horticultural industry: Some implications for plant health. Scientia Horticulturae, 125, 1-15.
24. Del Valle, S., Hethcote, H., Hyman, J. M., & Castillo-Chavez, C. (2005). Effects of behavioral changes in a smallpox attack model. Mathematical Biosciences, 195, 228-251.
25. Dulla, G., & Lindow, S. E. (2008). Quorum size of Pseudomonas syringae is small and dictated by water availability on the leaf surface. Proceedings of the National Academy of Sciences of the United States of America, 105, 3082-3087.
26. Dulla, G. F. J., Krasileva, K. V., & Lindow, S. E. (2010). Interference of quorum sensing in Pseudomonas syringae by bacterial epiphytes that limit iron availability. Environmental Microbiology, 12, 1762-1774.
27. Durrant, W. E., & Dong, X. (2004). Systemic acquired resistance. Annual Review of Phytopathology, 42, 185-209.
28. Edmunds, W. J., O'Callaghan, C. J., & Nokes, D. J. (1997). Who mixes with whom? A method to determine the contact patterns of adults that may lead to the spread of airborne infections. Proceedings of the Royal Society of London, Series B: Biological Sciences, 264, 949-957.
29. Ekboir, J. (2003). Why impact analysis should not be used for research evaluation and what the alternatives are. Agricultural Systems, 78, 166-184.
30. Eubank, S., et al. (2004). Modelling disease outbreaks in realistic urban social networks. Nature, 429, 180-184.
31. Finckh, M. R., et al. (2000). Cereal variety and species mixtures in practice, with emphasis on disease resistance. Agronomie, 20, 813-837.
32. Folke, C., Hahn, T., Olsson, P., & Norberg, J. (2005). Adaptive governance of social-ecological systems. Annual Review of Environment and Resources, 30, 441-473.
33. Fu, F., Liu, L. H., & Wang, L. (2007). Evolutionary prisoner's dilemma on heterogeneous Newman-Watts small-world network. European Physical Journal B, 56, 367-372.
34. Funk, S., Gilad, E., Watkins, C., & Jansen, V. A. A. (2009). The spread of awareness and its impact on epidemic outbreaks. Proceedings of the National Academy of Sciences of the United States of America, 106, 6872-6877.
35. Funk, S., Salathe, M., & Jansen, V. A. A. (2010). Modelling the influence of human behaviour on the spread of infectious diseases: A review. Journal of the Royal Society, Interface, 7, 1247-1256.
36. Garrett, K. A., & Bowden, R. L. (2002). An Allee effect reduces the invasive potential of Tilletia indica. Phytopathology, 92, 1152-1159.
37. Garrett, K. A., & Mundt, C. C. (1999). Epidemiology in mixed host populations. Phytopathology, 89, 984-990.
38. Garrett, K. A., Dendy, S. P., Frank, E. E., Rouse, M. N., & Travers, S. E. (2006). Climate change effects on plant disease: Genomes to ecosystems. Annual Review of Phytopathology, 44, 489-509.
39. Garrett, K. A., Hulbert, S. H., Leach, J. E., & Travers, S. E. (2006). Ecological genomics and epidemiology. European Journal of Plant Pathology, 115, 35-51.
40. Garrett, K. A., et al. (2009). Intraspecific functional diversity in hosts and its effect on disease risk across a climatic gradient. Ecological Applications, 19, 1868-1883.
41. Garrett, K. A., et al. (2011). Complexity in climate-change impacts: An analytical framework for effects mediated by plant disease. Plant Pathology, 60, 15-30.
42. Gerard, R. W., Kluckhohn, C., & Rapoport, A. (1956). Biological and cultural evolution - some analogies and explorations. Behavioral Science, 1, 6-34.
43. Glazebrook, J. (2005). Contrasting mechanisms of defense against biotrophic and necrotrophic pathogens. Annual Review of Phytopathology, 43, 205-227.
44. Glazebrook, J., et al. (2003). Topology of the network integrating salicylate and jasmonate signal transduction derived from global expression phenotyping. The Plant Journal, 34, 217-228.
45. Goffman, W., & Newill, V. A. (1964). Generalization of epidemic theory-Application to transmission of ideas. Nature, 204, 225-&.
46. Green, L. W., Ottoson, J. M., Garcia, C., & Hiatt, R. A. (2009). Diffusion theory and knowledge dissemination, utilization, and integration in public health. Annual Review of Public Health, 30, 151-174.
47. Gross, T., D'Lima, C. J. D., & Blasius, B. (2006). Epidemic dynamics on an adaptive network. Physical Review Letters, 96.
48. Harwood, T. D., Xu, X., Pautasso, M., Jeger, M. J., & Shaw, M. W. (2009). Epidemiological risk assessment using linked network and grid based modelling: Phytophthora ramorum and Phytophthora kernoviae in the UK. Ecological Modelling, 220, 3353-3361.
49. Hill, A. L., Rand, D. G., Nowak, M. A., & Christakis, N. A. (2010). Emotions as infectious diseases in a large social network: The SISa model. Proceedings of the Royal Society B-Biological Sciences, 277, 3827-3835.
50. Huber, L., & Gillespie, T. J. (1992). Modeling leaf wetness in relation to plant-disease epidemiology. Annual Review of Phytopathology, 30, 553-577.
51. Hughes, G. (1996). Incorporating spatial pattern of harmful organisms into crop loss models. Crop Protection, 15, 407-421.
52. Hutchison, W. D., et al. (2010). Areawide suppression of European corn borer with Bt maize reaps savings to non-Bt maize growers. Science, 330, 222-225.
53. Ifti, M., Killingback, T., & Doebeli, M. (2004). Effects of neighbourhood size and connectivity on the spatial Continuous Prisoner's Dilemma. Journal of Theoretical Biology, 231, 97-106.
54. Irwin, M. E. (1999). Implications of movement in developing and deploying integrated pest management strategies. Agricultural and Forest Meteorology, 97, 235-248.
55. Isard, S. A., Magarey, R. D., & Russo, J. M. (2004). An aerobiological and epidemiological risk assessment for the aerial incursion of soybean rust into the United States. Phytopathology, 94, S44-S44.
56. Isard, S. A., Gage, S. H., Comtois, P., & Russo, J. M. (2005). Principles of the atmospheric pathway for invasive species applied to soybean rust. BioScience, 55, 851-861.
57. Isard, S. A., Russo, J. M., & Ariatti, A. (2007). The integrated aerobiology modeling system applied to the spread of soybean rust into the Ohio River valley during September 2006. Aerobiologia, 23, 271-282.
58. Jeger, M. J., Pautasso, M., Holdenrieder, O., & Shaw, M. W. (2007). Modelling disease spread and control in networks: implications for plant sciences. New Phytologist, 174, 279-297.
59. Johnson, B. B., & Covello, V. T. (Eds.). (1987). The social and cultural construction of risk. Dordrecht: Reidel.
60. Jordán, F., Baranyi, G., & Ciocchetta, F. (2010). A hierarchy of networks spanning from individual organisms to ecological landscapes. In E. Estrada, M. Fox, D. J. Higham, & G.-L. Oppo (Eds.), Network science (pp. 165-183). London: Springer.
61. Kansas State University Agricultural Experiment Station And Cooperative Extension Service (1997). Wheat Production Handbook. Manhattan, KS, USA: Kansas State University Agricultural Experiment Station And Cooperative Extension Service.
62. Keeling, M. J. (1999). The effects of local spatial structure on epidemiological invasions. Proceedings of the Royal Society of London, Series B: Biological Sciences, 266, 859-867.
63. Keesing, F., Holt, R. D., & Ostfeld, R. S. (2006). Effects of species diversity on disease risk. Ecology Letters, 9, 485-498.
64. Kleczkowski, A., Gilligan, C. A., & Bailey, D. J. (1997). Scaling and spatial dynamics in plant-pathogen systems: From individuals to populations. Proceedings of the Royal Society of London, Series B: Biological Sciences, 264, 979-984.
65. Klepper, B., Rickman, R. W., & Belford, R. K. (1983). Leaf and tiller identification on wheat plants. Crop Science, 23, 1002-1004.
66. Lamour, A., Termorshuizen, A. J., Volker, D., & Jeger, M. J. (2007). Network formation by rhizomorphs of Armillaria lutea in natural soil: Their description and ecological significance. FEMS Microbiology Ecology, 62, 222-232.
67. Li, X., Esker, P. D., Pan, Z., Dias, A. P., Xue, L., & Yang, X. B. (2010). The uniqueness of the soybean rust pathosystem: An improved understanding of the risk in different regions of the world. Plant Disease, 94, 796-806.
68. Liu, Y. Y., Slotine, J. J., & Barabasi, A. L. (2011). Controllability of complex networks. Nature, 473, 167-173.
69. Luthi, L., Pestelacci, E., & Tomassini, M. (2008). Cooperation and community structure in social networks. Physica a-Statistical Mechanics and Its Applications, 387, 955-966.
70. Margosian, M. L., Garrett, K. A., Hutchinson, J. M. S., & With, K. A. (2009). Connectivity of the American agricultural landscape: Assessing the national risk of crop pest and disease spread. BioScience, 59, 141-151.
71. McRoberts, N., Hall, C., Madden, L. V., & Hughes, G. (2011). Perceptions of disease risk: From social construction of subjective judgments to rational decision making. Phytopathology, 101, 654-665.
72. Meloni, S., Perra, N., Arenas, A., Gomez, S., Moreno, Y., & Vespignani, A. (2011). Modeling human mobility responses to the large-scale spreading of infectious diseases. Scientific Reports, 1.
73. Miller, S. A., Beed, F. D., & Harmon, C. L. (2009). Plant disease diagnostic capabilities and networks. Annual Review of Phytopathology, 47, 15-38.
74. Monier, J. M., & Lindow, S. E. (2003). Differential survival of solitary and aggregated bacterial cells promotes aggregate formation on leaf surfaces. Proceedings of the National Academy of Sciences of the United States of America, 100, 15977-15982.
75. Monier, J. M., & Lindow, S. E. (2005). Spatial organization of dual-species bacterial aggregates on leaf surfaces. Applied and Environmental Microbiology, 71, 5484-5493.
76. Moore, M. L. M. M. L., & Westley, F. (2011). Surmountable chasms: networks and social innovation for resilient systems. Ecology and Society, 16, art5.
77. Morris, C. E., & Monier, J. M. (2003). The ecological significance of biofilm formation by plant-associated bacteria. Annual Review of Phytopathology, 41, 429-453.
78. Moslonka-Lefebvre, M., et al. (2011). Networks in plant epidemiology: From genes to landscapes, countries, and continents. Phytopathology, 101, 392-403.
79. Mossong, J., et al. (2008). Social contacts and mixing patterns relevant to the spread of infectious diseases. PLoS Medicine, 5, 381-391.
80. Mundt, C. C. (2009). Importance of autoinfection to the epidemiology of polycyclic foliar disease. Phytopathology, 99, 1116-1120.
81. Nadell, C. D., Xavier, J. B., Levin, S. A., & Foster, K. R. (2008). The evolution of quorum sensing in bacterial biofilms. PLoS Biology, 6, 171-179.
82. Nadell, C. D., Foster, K. R., & Xavier, J. B. (2010). Emergence of spatial structure in cell groups and the evolution of cooperation. PLoS Computational Biology, 6, e1000716.
83. Nekovee, M., Moreno, Y., Bianconi, G., & Marsili, M. (2007). Theory of rumour spreading in complex social networks. Physica a-Statistical Mechanics and Its Applications, 374, 457-470.
84. Newman, M. E. J. (2003). The structure and function of complex networks. SIAM Review, 45, 167-256.
85. Newton, A. C., Fitt, B. D. L., Atkins, S. D., Walters, D. R., & Daniell, T. J. (2010). Pathogenesis, parasitism and mutualism in the trophic space of microbe-plant interactions. Trends in Microbiology, 18, 365-373.
86. Ortiz, O., Garrett, K. A., Heath, J. J., Orrego, R., & Nelson, R. J. (2004). Management of potato late blight in the Peruvian highlands: Evaluating the benefits of farmer field schools and farmer participatory research. Plant Disease, 88, 565-571.
87. Pautasso, M., & Jeger, M. J. (2008). Epidemic threshold and network structure: The interplay of probability of transmission and of persistence in small-size directed networks. Ecological Complexity, 5, 1-8.
88. Pautasso, M., et al. (2010). Plant health and global change - some implications for landscape management. Biological Reviews, 85, 729-755.
89. Perisic, A., & Bauch, C. T. (2009). Social contact networks and disease eradicability under voluntary vaccination. PLoS Computational Biology, 5, e1000280.
90. Pieterse, C. M. J., Leon-Reyes, A., van der Ent, S., & van Wees, S. C. M. (2009). Networking by small-molecule hormones in plant immunity. Nature Chemical Biology, 5, 308-316.
91. Prusinkiewicz, P., & Lindenmayer, A. (1991). The Algorithmic Beauty of Plants: Springer.
92. Rouse, M. N., et al. (2011). Genomic and resistance gene homolog diversity of the dominant tallgrass prairie species across the US Great Plains precipitation gradient. PLoS ONE, 6, e17641.
93. Sack, L., & Holbrook, N. M. (2006). Leaf hydraulics. Annual Review of Plant Biology, 57, 361-381.
94. Salathé, M., & Bonhoeffer, S. (2008). The effect of opinion clustering on disease outbreaks. Journal of the Royal Society, Interface, 5, 1505-1508.
95. Saleh, A. A., et al. (2010). Relatedness of Macrophomina phaseolina isolates from tallgrass prairie, maize, soybean and sorghum. Molecular Ecology, 19, 79-91.
96. Savary, S., Teng, P. S., Willocquet, L., & Nutter, F. W. (2006). Quantification and modeling of crop losses: A review of purposes. Annual Review of Phytopathology, 44, 89-112.
97. Schneider, C. M., Moreira, A. A., Andrade, J. S., Havlin, S., & Herrmann, H. J. (2011). Mitigation of malicious attacks on networks. Proceedings of the National Academy of Sciences of the United States of America, 108, 3838-3841.
98. Scoglio, C., et al. (2010). Efficient mitigation strategies for epidemics in rural regions. PLoS ONE, 5, e11569.
99. Shanley, P., & Lopez, C. (2009). Out of the loop: Why research rarely reaches policy makers and the public and what can be done. Biotropica, 41, 535-544.
100. Skelsey, P., Rossing, W. A. H., Kessel, G. J. T., Powell, J., & van der Werf, W. (2005). Influence of host diversity on development of epidemics: An evaluation and elaboration of mixture theory. Phytopathology, 95, 328-338.
101. Slovic, P., Finuccane, M., Peters, E., & MacGregor, D. G. (2002). In T. Gilovich, D. Griffin, & D. Kahneman (Eds.), The affect heuristic. Heuristics and Biases: The Psychology of Intuitive Judgment. New York: Cambridge University Press.
102. Smith, K. P., & Goodman, R. M. (1999). Host variation for interactions with beneficial plant-associated microbes. Annual Review of Phytopathology, 37, 473-491.
103. Southworth, D., He, X. H., Swenson, W., Bledsoe, C. S., & Horwath, W. R. (2005). Application of network theory to potential mycorrhizal networks. Mycorrhiza, 15, 589-595.
104. Sparks, A. H., Forbes, G. A., Hijmans, R. J., & Garrett, K. A. (2011). A metamodeling framework for extending the application domain of process-based ecological models. Ecosphere, 2, art90.
105. Stack, J., et al. (2006). The national plant diagnostic network. Plant Disease, 90, 128-136.
106. Surkov, I. V., Lansink, A. G. J. M. O., van Kooten, O., & van der Werf, W. (2008). A model of optimal import phytosanitary inspection under capacity constraint. Agricultural Economics, 38, 363-373.
107. Tero, A., et al. (2010). Rules for biologically inspired adaptive network design. Science, 327, 439-442.
108. Thebault, E., & Fontaine, C. (2010). Stability of ecological communities and the architecture of mutualistic and trophic networks. Science, 329, 853-856.
109. Travers, S. E., et al. (2010). Variation in gene expression of Andropogon gerardii in response to altered environmental conditions associated with climate change. Journal of Ecology, 98, 374-383.
110. Tsuda, K., Sato, M., Stoddard, T., Glazebrook, J., & Katagiri, F. (2009). Network properties of robust immunity in plants. PLoS Genetics, 5, e1000772.
111. Tyler, H. L., & Triplett, E. W. (2008). Plants as a habitat for beneficial and/or human pathogenic bacteria. Annual Review of Phytopathology, 46, 53-73.
112. Wang, H. G., Yang, X. B., & Ma, Z. H. (2010). Long-distance spore transport of wheat stripe rust pathogen from Sichuan, Yunnan, and Guizhou in Southwestern China. Plant Disease, 94, 873-880.
113. Webb, K. M., et al. (2010). A benefit of high temperature: Increased effectiveness of a rice bacterial blight disease resistance gene. New Phytologist, 185, 568-576.
114. Wolters, H., & Jurgens, G. (2009). Survival of the flexible: Hormonal growth control and adaptation in plant development. Nature Reviews Genetics, 10, 305-317.