Modelling interference between vectors of non-persistently transmitted plant viruses to identify effective control strategies.
Publication Date
2021-12Journal Title
PLoS Comput Biol
ISSN
1553-734X
Publisher
Public Library of Science (PLoS)
Type
Article
This Version
AM
Metadata
Show full item recordCitation
Zaffaroni, M., Rimbaud, L., Mailleret, L., Cunniffe, N., & Bevacqua, D. (2021). Modelling interference between vectors of non-persistently transmitted plant viruses to identify effective control strategies.. PLoS Comput Biol https://doi.org/10.1371/journal.pcbi.1009727
Abstract
Aphids are the primary vector of plant viruses. Transient aphids, which probe several plants per day, are considered to be the principal vectors of non-persistently transmitted (NPT) viruses. However, resident aphids, which can complete their life cycle on a single host and are affected by agronomic practices, can transmit NPT viruses as well. Moreover, they can interfere both directly and indirectly with transient aphids, eventually shaping plant disease dynamics. By means of an epidemiological model, originally accounting for ecological principles and agronomic practices, we explore the consequences of fertilization and irrigation, pesticide deployment and roguing of infected plants on the spread of viral diseases in crops. Our results indicate that the spread of NPT viruses can be i) both reduced or increased by fertilization and irrigation, depending on whether the interference is direct or indirect; ii) counter-intuitively increased by pesticide application and iii) reduced by roguing infected plants. We show that a better understanding of vectors' interactions would enhance our understanding of disease transmission, supporting the development of disease management strategies.
Sponsorship
The PhD grant to M.Z. is funded by the PACA (Provence-Alpes-Côtes d’Azur) region and INRAE Agroècosistèmes department. M.Z. thanks Avignon Université for the Bourse Perdiguier, which supports her temporary stay at the University of Cambridge.
Identifiers
External DOI: https://doi.org/10.1371/journal.pcbi.1009727
This record's URL: https://www.repository.cam.ac.uk/handle/1810/331296
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.
Recommended or similar items
The current recommendation prototype on the Apollo Repository will be turned off on 03 February 2023. Although the pilot has been fruitful for both parties, the service provider IKVA is focusing on horizon scanning products and so the recommender service can no longer be supported. We recognise the importance of recommender services in supporting research discovery and are evaluating offerings from other service providers. If you would like to offer feedback on this decision please contact us on: support@repository.cam.ac.uk