Crop pathogen emergence and evolution in agro-ecological landscapes

被引:41
作者
Papaix, Julien [1 ,2 ,3 ,4 ]
Burdon, Jeremy J. [4 ]
Zhan, Jiasui [5 ]
Thrall, Peter H. [4 ]
机构
[1] INRA, UMR BIOGER 1290, F-78850 Thiverval Grignon, France
[2] INRA, UR MIA 341, Jouy En Josas, France
[3] INRA, UR BioSP 546, Avignon, France
[4] CSIRO Agr Flagship, Canberra, ACT, Australia
[5] Fujian Agr & Forestry Univ, Inst Plant Virol, Fujian Key Lab Plant Virol, Fuzhou, Peoples R China
关键词
agro-ecological interface; landscape epidemiology; pathogen evolution; plant disease management; WHEAT LEAF; SPATIAL SCALE; LOCAL ADAPTATION; STEM RUST; AGRICULTURAL LANDSCAPES; PHYTOPHTHORA-INFESTANS; BIOTIC INTERACTIONS; ECOSYSTEM SERVICES; GENETIC DIVERSITY; DISEASE DYNAMICS;
D O I
10.1111/eva.12251
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Remnant areas hosting natural vegetation in agricultural landscapes can impact the disease epidemiology and evolutionary dynamics of crop pathogens. However, the potential consequences for crop diseases of the composition, the spatial configuration and the persistence time of the agro-ecological interface - the area where crops and remnant vegetation are in contact - have been poorly studied. Here, we develop a demographic-genetic simulation model to study how the spatial and temporal distribution of remnant wild vegetation patches embedded in an agricultural landscape can drive the emergence of a crop pathogen and its subsequent specialization on the crop host. We found that landscape structures that promoted larger pathogen populations on the wild host facilitated the emergence of a crop pathogen, but such landscape structures also reduced the potential for the pathogen population to adapt to the crop. In addition, the evolutionary trajectory of the pathogen population was determined by interactions between the factors describing the landscape structure and those describing the pathogen life histories. Our study contributes to a better understanding of how the shift of land-use patterns in agricultural landscapes might influence crop diseases to provide predictive tools to evaluate management practices.
引用
收藏
页码:385 / 402
页数:18
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