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Volumn 174, Issue 3, 2009, Pages 308-320

Spatiotemporal structure of host-pathogen interactions in a metapopulation

Author keywords

Coevolution; Encounter rate; Host parasite interaction; Mechanistic statistical model; Survival probability; Temporal stability

Indexed keywords

COEVOLUTION; EVOLUTION; FUNGUS; HOST-PARASITE INTERACTION; HOST-PATHOGEN INTERACTION; METAPOPULATION; NUMERICAL METHOD; POPULATION SIZE; SPATIAL VARIATION; STATISTICAL ANALYSIS; SURVIVAL; TEMPORAL VARIATION;

EID: 70149089260     PISSN: 00030147     EISSN: None     Source Type: Journal    
DOI: 10.1086/603624     Document Type: Article
Times cited : (91)

References (58)
  • 1
    • 0036964474 scopus 로고    scopus 로고
    • Approximate Bayesian computation in population genetics
    • Beaumont, M. A., W. Zhang, and D. J. Balding. 2002. Approximate Bayesian computation in population genetics. Genetics 162:2025-2035.
    • (2002) Genetics , vol.162 , pp. 2025-2035
    • Beaumont, M.A.1    Zhang, W.2    Balding, D.J.3
  • 2
    • 0033046358 scopus 로고    scopus 로고
    • The selection mosaic and diversifying coevolution between crossbills and lodgepole pine
    • Benkman,C.W.1999. Theselectionmosaicanddiversifyingcoevolutionbetweencrossbillsandlodgepolepine. AmericanNaturalist153(suppl.):S75-S91.(Pubitemid129736409)
    • (1999) American Naturalist , vol.153 , Issue.5 SUPPL. 1
    • Benkman, C.W.1
  • 3
    • 1642293330 scopus 로고    scopus 로고
    • Physical-statistical modeling in geophysics
    • Berliner, L. M.. 2003. Physical-statistical modeling in geophysics. Journal of Geophysical Research 108:8776.
    • (2003) Journal of Geophysical Research , vol.108 , pp. 8776
    • Berliner, L.M.1
  • 4
    • 0033533781 scopus 로고    scopus 로고
    • 'Small worlds' and the evolution of virulence: Infection occurs locally and at a distance
    • DOI 10.1098/rspb.1999.0869
    • Boots, M., and A. Sasaki. 1999. "Small worlds" and the evolution of virulence: infection occurs locally and at a distance. Proceedings of the Royal Society B: Biological Sciences 266:1933-1938. (Pubitemid 29479195)
    • (1999) Proceedings of the Royal Society B: Biological Sciences , vol.266 , Issue.1432 , pp. 1933-1938
    • Boots, M.1    Sasaki, A.2
  • 5
    • 49849093998 scopus 로고    scopus 로고
    • Spatial and temporal heterogeneity explain disease dynamics in a spatially explicit network model
    • Brooks, C. P., J. Antonovics, and T. H. Keitt. 2008. Spatial and temporal heterogeneity explain disease dynamics in a spatially explicit network model. American Naturalist 172:149-159.
    • (2008) American Naturalist , vol.172 , pp. 149-159
    • Brooks, C.P.1    Antonovics, J.2    Keitt, T.H.3
  • 7
    • 0032969912 scopus 로고    scopus 로고
    • Spatial and temporal patterns in coevolving plant and pathogen associations
    • Burdon,J.J.,andP.H.Thrall.1999. Spatialandtemporalpatternsincoevolvingplantandpathogenassociations. AmericanNaturalist153(suppl):S15-S33.(Pubitemid129736405)
    • (1999) American Naturalist , vol.153 , Issue.5 SUPPL. 1
    • Burdon, J.J.1
  • 8
    • 70149104658 scopus 로고    scopus 로고
    • Technical Report 49. Commonwealth Scientific and Industrial Research Organisation Mathematical and Information Sciences, Clayton South
    • Campbell, E. P. 2004. An introduction to physical-statistical modelling using Bayesian methods. Technical Report 49. Commonwealth Scientific and Industrial Research Organisation Mathematical and Information Sciences, Clayton South.
    • (2004) An Introduction to Physical-statistical Modelling Using Bayesian Methods
    • Campbell, E.P.1
  • 13
    • 33845271181 scopus 로고    scopus 로고
    • Metapopulation dynamics and biological invasions: A spatially explicit model applied to a freshwater snail
    • DOI 10.1086/508669
    • Facon, B., and P. David. 2006. Metapopulation dynamics and biological invasions: a spatially explicit model applied to a freshwater snail. American Naturalist 168:769-783. (Pubitemid 44865133)
    • (2006) American Naturalist , vol.168 , Issue.6 , pp. 769-783
    • Facon, B.1    David, P.2
  • 14
    • 0035843902 scopus 로고    scopus 로고
    • The foot-and-mouth epidemic in Great Britain: Pattern of spread and impact of interventions
    • DOI 10.1126/science.1061020
    • Ferguson, N., C. Donnelly, and R. Anderson. 2001. The foot-andmouth epidemic in Great Britain: pattern of spread and impact of interventions. Science 292:1155-1160. (Pubitemid 32440936)
    • (2001) Science , vol.292 , Issue.5519 , pp. 1155-1160
    • Ferguson, N.M.1    Donnelly, C.A.2    Anderson, R.M.3
  • 15
    • 0042334664 scopus 로고    scopus 로고
    • A spatiotemporal stochastic process model for species spread
    • DOI 10.1111/1541-0420.00074
    • Fewster, R. M. 2003. A spatiotemporal stochastic process model for species spread. Biometrics 59:640-649. (Pubitemid 37093403)
    • (2003) Biometrics , vol.59 , Issue.3 , pp. 640-649
    • Fewster, R.M.1
  • 17
    • 7244237915 scopus 로고    scopus 로고
    • Adaptation varies through space and time in a coevolving hostparasitoid interaction
    • Forde, S. E., J. N. Thompson, and B. J. M. Bohannan. 2004. Adaptation varies through space and time in a coevolving hostparasitoid interaction. Nature 431:841-844.
    • (2004) Nature , vol.431 , pp. 841-844
    • Forde, S.E.1    Thompson, J.N.2    Bohannan, B.J.M.3
  • 18
    • 34248391021 scopus 로고    scopus 로고
    • Gene flow reverses an adaptive cline in a coevolving host-parasitoid interaction
    • -. 2007. Gene flow reverses an adaptive cline in a coevolving host-parasitoid interaction. American Naturalist 169:794-801.
    • (2007) American Naturalist , vol.169 , pp. 794-801
  • 19
    • 0039377949 scopus 로고    scopus 로고
    • Markov chain Monte Carlo methods for fitting spatiotemporal stochastic models in plant epidemiology
    • Gibson,G.J.1997. MarkovchainMonteCarlomethodsforfittingspatio temporalstochasticmodelsinplantepidemiology. JournaloftheRoyalStatisticalSocietyC:AppliedStatistics46:215-233. (Pubitemid127367872)
    • (1997) Journal of the Royal Statistical Society. Series C: Applied Statistics , vol.46 , Issue.2 , pp. 215-233
    • Gibson, G.J.1
  • 22
    • 0000774060 scopus 로고
    • Sex vs. non-sex vs. parasite
    • Hamilton, W. D. 1980. Sex vs. non-sex vs. parasite. Oikos 35:282290.
    • (1980) Oikos , vol.35 , pp. 282290
    • Hamilton, W.D.1
  • 25
    • 0021569415 scopus 로고
    • Spatial heterogeneity, indirect interactions, and the coexistence of prey species
    • Holt, R. D. 1984. Spatial heterogeneity, indirect interactions, and the coexistence of prey species. American Naturalist 124:377-406.
    • (1984) American Naturalist , vol.124 , pp. 377-406
    • Holt, R.D.1
  • 26
    • 0017472349 scopus 로고
    • Goodness-of-fit tests for discrete data: A review and an application to a health impairment scale
    • Horn, S. D. 1977. Goodness-of-fit tests for discrete data: a review and an application to a health impairment scale. Biometrics 33: 237-247.
    • (1977) Biometrics , vol.33 , pp. 237-247
    • Horn, S.D.1
  • 29
    • 0033594451 scopus 로고    scopus 로고
    • The effects of local spatial structure on epidemiological invasions
    • DOI 10.1098/rspb.1999.0716
    • Keeling, M. 1999a. The effects of local spatial structure on epidemiological invasion. Proceedings of the Royal Society B: Biological Sciences 266:859-867. (Pubitemid 29204217)
    • (1999) Proceedings of the Royal Society B: Biological Sciences , vol.266 , Issue.1421 , pp. 859-867
    • Keeling, M.J.1
  • 30
    • 0002469380 scopus 로고    scopus 로고
    • J. McGlade, ed. Advanced ecological theory: principles and applications. Blackwell, Oxford
    • -. 1999b. Spatial models of interacting populations. Pages 64- 99 in J. McGlade, ed. Advanced ecological theory: principles and applications. Blackwell, Oxford.
    • (1999) Spatial Models of Interacting Populations , pp. 64-99
  • 32
    • 22144453591 scopus 로고    scopus 로고
    • Spatial scale of local adaptation in a plant pathogen population
    • Laine, A.-L. 2005. Spatial scale of local adaptation in a plant pathogen population. Journal of Evolutionary Biology 18:930-938.
    • (2005) Journal of Evolutionary Biology , vol.18 , pp. 930-938
    • Laine, A.-L.1
  • 33
    • 35448936927 scopus 로고    scopus 로고
    • Pathogen fitness components and genotypes differ in their sensitivity to nutrient and temperature variation in a wild plant-pathogen association
    • -. 2007. Pathogen fitness components and genotypes differ in their sensitivity to nutrient and temperature variation in a wild plant-pathogen association. Journal of Evolutionary Biology 20: 2371-2378.
    • (2007) Journal of Evolutionary Biology , vol.20 , pp. 2371-2378
  • 34
    • 40349098778 scopus 로고    scopus 로고
    • Temperature-mediated patterns of local adaptation in a natural plant-pathogen metapopulation
    • -. 2008. Temperature-mediated patterns of local adaptation in a natural plant-pathogen metapopulation. Ecology Letters 11:327333.
    • (2008) Ecology Letters , vol.11 , pp. 327333
  • 35
    • 33645063443 scopus 로고    scopus 로고
    • Large-scale spatial dynamics of specialist plant pathogen
    • Laine, A.-L., and I. Hanski. 2006. Large-scale spatial dynamics of specialist plant pathogen. Journal of Ecology 94:217-226.
    • (2006) Journal of Ecology , vol.94 , pp. 217-226
    • Laine, A.-L.1    Hanski, I.2
  • 38
    • 24644491815 scopus 로고    scopus 로고
    • The effect of migration on local adaptation in a coevolving host-parasite system
    • Morgan, A. D., S. Gandon, and A. Buckling. 2005. The effect of migration on local adaptation in a coevolving host-parasite system. Nature 437:253-256.
    • (2005) Nature , vol.437 , pp. 253-256
    • Morgan, A.D.1    Gandon, S.2    Buckling, A.3
  • 39
    • 2342601108 scopus 로고    scopus 로고
    • Structure and dynamics of Melitaea cinxia metapopulations
    • P. R. Ehrlich and I. Hanski, eds. Oxford University Press, Oxford
    • Nieminen, M., M. Siljander, and I. Hanski. 2004. Structure and dynamics of Melitaea cinxia metapopulations. Pages 63-91 in P. R. Ehrlich and I. Hanski, eds. On the wings of checkerspots: a model system for population biology. Oxford University Press, Oxford.
    • (2004) On the Wings of Checkerspots: A Model System for Population Biology , pp. 63-91
    • Nieminen, M.1    Siljander, M.2    Hanski, I.3
  • 40
    • 33645059347 scopus 로고    scopus 로고
    • Inferring evolutionary signals form ecological data in a plant-pathogen metapopulation
    • Ovaskainen, O., and A.-L. Laine. 2006. Inferring evolutionary signals form ecological data in a plant-pathogen metapopulation. Ecology 87:880-891.
    • (2006) Ecology , vol.87 , pp. 880-891
    • Ovaskainen, O.1    Laine, A.-L.2
  • 42
    • 4444308967 scopus 로고    scopus 로고
    • A Bayesian state-space modelling framework for fitting a salmon stage-structured population dynamic model to multiple time series of field data
    • DOI 10.1016/j.ecolmodel.2004.05.011, PII S0304380004002728
    • Rivot, E., E. Prévost, E. Parent, and J. L. Baglinière. 2004. A Bayesian state-space modelling framework for fitting a salmon stage-structured population dynamic model to multiple time series of field data. Ecological Modelling 179:463-485. (Pubitemid 39197463)
    • (2004) Ecological Modelling , vol.179 , Issue.4 , pp. 463-485
    • Rivot, E.1    Prevost, E.2    Parent, E.3    Bagliniere, J.L.4
  • 44
    • 0034092115 scopus 로고    scopus 로고
    • An integrated approach to management in epidemiology and pest control
    • DOI 10.1046/j.1461-0248.2000.00124.x
    • Shea, K., P. H. Thrall, and J. J. Burdon. 2000. An integrated approach to management in epidemiology and pest control. Ecology Letters 3:150-158. (Pubitemid 30141968)
    • (2000) Ecology Letters , vol.3 , Issue.2 , pp. 150-158
    • Shea, K.1    Thrall, P.H.2    Burdon, J.J.3
  • 45
    • 42649103297 scopus 로고    scopus 로고
    • Anisotropy, in density and in distance, of the dispersal of yellow rust of wheat: Experiments in large field plots and estimation
    • DOI 10.1094/PHYTO-97-10-1315
    • Soubeyrand, S., J. Enjalbert, A. Sanchez, and I. Sache. 2007. Anisotropy, in density and in distance, of the dispersal of yellow rust of wheat: experiments in large field plots and estimation. Phytopathology 97:1315-1324. (Pubitemid 351598196)
    • (2007) Phytopathology , vol.97 , Issue.10 , pp. 1315-1324
    • Soubeyrand, S.1    Enjalbert, J.2    Sanchez, A.3    Sache, I.4
  • 48
    • 58349118903 scopus 로고    scopus 로고
    • Mechanicalstatistical modelling in ecology: From outbreak detections to pest dynamics
    • Soubeyrand, S., S. Neuvonen, and A. Penttinen. 2009b. Mechanicalstatistical modelling in ecology: from outbreak detections to pest dynamics. Bulletin of Mathematical Biology 71:318-338.
    • (2009) Bulletin of Mathematical Biology , vol.71 , pp. 318-338
    • Soubeyrand, S.1    Neuvonen, S.2    Penttinen, A.3
  • 51
    • 0033006479 scopus 로고    scopus 로고
    • Specific hypothesis on the geographic mosaic of coevolution
    • -. 1999. Specific hypothesis on the geographic mosaic of coevolution. American Naturalist 153(suppl.):S1-S14.
    • (1999) American Naturalist , vol.153 , Issue.SUPPL.
  • 53
    • 0037071852 scopus 로고    scopus 로고
    • Geographic structure and dynamics of coevolutionary selection
    • Thompson, J. N., and B. M. Cunningham. 2002. Geographic structure and dynamics of coevolutionary selection. Nature 417:735738.
    • (2002) Nature , vol.417 , pp. 735738
    • Thompson, J.N.1    Cunningham, B.M.2
  • 54
    • 0036238597 scopus 로고    scopus 로고
    • Evolution of gene-for-gene systems in metapopulations: The effect of spatial scale of host and pathogen dispersal
    • DOI 10.1046/j.1365-3059.2002.00683.x
    • Thrall, P., and J. J. Burdon. 2002. Evolution of gene-for-gene systems in metapopulations: the effect of spatial scale of host and pathogen dispersal. Plant Pathology 51:169-184. (Pubitemid 34432051)
    • (2002) Plant Pathology , vol.51 , Issue.2 , pp. 169-184
    • Thrall, P.H.1    Burdon, J.J.2
  • 55
    • 84950432017 scopus 로고
    • A Monte Carlo implementation of the em algorithm and the poor man's data augmentation algorithms
    • Wei, G. C. G., and M. A. Tanner. 1990. A Monte Carlo implementation of the em algorithm and the poor man's data augmentation algorithms. Journal of the American Statistical Association 85:699704.
    • (1990) Journal of the American Statistical Association , vol.85 , pp. 699704
    • Wei, G.C.G.1    Tanner, M.A.2
  • 56
    • 0037799893 scopus 로고    scopus 로고
    • Using pattern-oriented modeling for revealing hidden information: A key for reconciling ecological theory and application
    • DOI 10.1034/j.1600-0706.2003.12027.x
    • Wiegand, T., F. Jeltsch, I. Hanski, and V. Grimm. 2003. Using patternoriented modeling for revealing hidden information: a key for reconciling ecological theory and application. Oikos 100:209-222. (Pubitemid 36610466)
    • (2003) Oikos , vol.100 , Issue.2 , pp. 209-222
    • Wiegand, T.1    Jeltsch, F.2    Hanski, I.3    Grimm, V.4
  • 57
    • 0041985115 scopus 로고    scopus 로고
    • Hierarchical Bayesian models for predicting the spread of ecological processes
    • Wikle,C.K.2003a. HierarchicalBayesianmodelsforpredictingthespreadofecologicalprocesses.Ecology84: 1382-1394.(Pubitemid37435724)
    • (2003) Ecology , vol.84 , Issue.6 , pp. 1382-1394
    • Wikle, C.K.1
  • 58
    • 0043180459 scopus 로고    scopus 로고
    • Hierarchical models in environmental science
    • -. 2003 b. Hierarchical models in environmental science. International Statistical Review 71:181-199.
    • (2003) International Statistical Review , vol.71 , pp. 181-199


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