Alex Slavenko , Perran A Ross , Luis Mata , Ary A Hoffmann , Paul A Umina
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引用次数: 0
Abstract
Endosymbiotic bacteria are being increasingly considered in novel methods of suppressing pest populations and/or reducing their potential to vector viruses. Here, we develop a generic modelling approach to explore the potential impacts of endosymbionts on pest populations. The model is presented as a modular R package, EndoSim. We use it to model demographic changes in the green peach aphid (Myzus persicae), which has recently been transinfected with the facultative endosymbiont, Rickettsiella. This novel transinfection has deleterious fitness effects following transfer to M. persicae. We consider a range of scenarios including different temperatures, thermal response curves, plant-based transmission dynamics, introduction dates and initial introduction sizes to investigate conditions under which Rickettsiella is expected to suppress M. persicae populations. We show that impacts on field pest populations are influenced by endosymbiont transmission dynamics, which are temperature-dependent, as well as aphid population processes. Our modelling approach suggests Rickettsiella could be used as a potential biological control to suppress M. persicae in natural settings. Furthermore, it highlights critical information that is required to accurately estimate the likely efficacy of novel endosymbiont transinfections in aphid pest control.
期刊介绍:
The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).