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Modeling nutrient and disease dynamics in a plant-pathogen system
被引:9
|作者:
Pell, Bruce
[1
]
Kendig, Amy E.
[2
]
Borer, Elizabeth T.
[3
]
Kuang, Yang
[4
]
机构:
[1] St Olaf Coll, Dept Math Stat & Comp Sci, Northfield, MN 55057 USA
[2] Univ Florida, Agron Dept, Gainesville, FL 32611 USA
[3] Univ Minnesota, Dept Ecol Evolut & Behav, St Paul, MN 55108 USA
[4] Arizona State Univ, Sch Math & Stat Sci, Tempe, AZ 85287 USA
关键词:
disease ecology;
droop equation;
delay differential equation;
within-host;
cereal yellow dwarf viruses;
IDENTIFIABILITY ANALYSIS;
VIRUS INTERACTIONS;
WITHIN-HOST;
CELL-GROWTH;
DIVERSITY;
PREVALENCE;
EVOLUTION;
INFECTION;
LIMITATION;
HERBIVORES;
D O I:
10.3934/mbe.2019013
中图分类号:
Q [生物科学];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
Human activities alter elemental nutrient cycling, which can have profound impacts on agriculture, grasslands, lakes, and other systems. It is becoming increasingly clear that enhanced nitrogen and phosphorus levels can affect disease dynamics across a range of taxa. However, there are few mathematical models that explicitly incorporate nutrients into host-pathogen interactions. Using viral load and plant mass data from an experiment with cereal yellow dwarf virus and its host plant, Avena sativa, we propose and compare two models describing the overall infection dynamics. However, the first model considers nutrient-limited virus production while the other considers a nutrient-induced viral production delay. A virus reproduction number is derived for this nutrient model, which depends on environmental and physiological attributes. Results suggest that including nutrient mediated viral production mechanisms can give rise to robust models that can be used to untangle how nutrients impact pathogen dynamics.
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页码:234 / 264
页数:31
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