Abstract
Two models for the herbivore-insects-plants interactions are formulated, differing in the way the farmer’s behavior is accounted for. In the first one the farmer regularly checks the crop and possibly removes infected plants, reimplanting new healthy ones in their place. The second one instead considers a large crop where this behavior is not possible and where therefore the infection may propagate freely in it, via the action of insect vectors. Effector proteins are known to affect the insect-plant dynamics and their influence is here investigated. Although they cannot influence the ultimate ecosystem behavior, they do impact the speed at which the equilibria are attained, in some fortunate cases favoring a faster infection eradication.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bertaccini A., Plant Pathogens, Minor (Phytoplasms), Encyclopedia of Microbiology (Fourth Edition): 627-638 (2019).
Calari A., Paltrinieri S., Contaldo N., Sakalieva D., Mori N., Duduk B., Bertaccini A., Molecular evidence of phytoplasms in winter oilseed rape, tomato and corn seedlings, Bulletin of Insectology 64, (Supplement): S157-S158 (2011).
Erb M., Reymond P., Molecular interactions between plants and insect herbivores, Annual Review of Plant Biology 70, 527-557 (2019).
Hogenhout S.A., Bos J.I.B., Effector proteins that modulate plant-insect interactions, Current Opinion in Plant Biology 14, 422-428 (2011).
Hogenhout S.A., Sugio A., The genome biology of phytoplasm: modulators of plants and insects, Current Opinion in Microbiology 15, 247-254 (2012).
Hogenhout S.A., Kliot A., Marée A.F.M., Tomkins M., A multi-layered mechanistic modelling approach to understand how effector genes extend beyond phytoplasm to modulate plant hosts, insect vectors and the environment, Current Opinion in Plant Biology 44, 39-48 (2018).
Makarova O., MacLean A.M., Nicolaisen M., Phytoplasm adapt to the diverse environments of their plant and insect hosts by altering gene expression, Physiological and Molecular Plant Pathology 91, 81-87 (2015).
Sugio A., MacLean A.M., Kingdom H.N., Grieve V.M., Manimekalai R., Hogenhout S.A., Diverse targets of phytoplasm effectors: from plant development to defense against insects, Annual Review of Phytopathology 49, 175-195 (2011).
Zwolińska A., Krawczyk K., Borodynko-Filas N., Pospieszny H., Non-crop sources of Rapeseed Phyllody phytoplasm (‘Candidatus Phytoplasm asteris’: 16SrI-B and 16SrI-(B/L)L), and closely related strains, Crop Protection 119, 59-68 (2019).
Acknowledgements
Work partially supported by the project “Modelli e metodi numerici in approssimazione, nelle scienze applicate e nelle scienze della vita” of the Dipartimento di Matematica “Giuseppe Peano”. Ezio Venturino is a member of the INdAM research group GNCS.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Acotto, F., Berera, M., Malano, G., Venturino, E. (2022). Modeling the Insect-Vectors-Mediated Phytoplasm Transmission in Agroecosystems. In: Mondaini, R.P. (eds) Trends in Biomathematics: Stability and Oscillations in Environmental, Social, and Biological Models. BIOMAT 2021. Springer, Cham. https://doi.org/10.1007/978-3-031-12515-7_18
Download citation
DOI: https://doi.org/10.1007/978-3-031-12515-7_18
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-12514-0
Online ISBN: 978-3-031-12515-7
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)