| Literature DB >> 34744550 |
Milan Milenovic1,2, Murad Ghanim3, Lucien Hoffmann1, Carmelo Rapisarda2.
Abstract
Whiteflies are sap-sucking insects responsible for high economic losses. They colonize hundreds of plant species and cause direct feeding damage and indirect damage through transmission of devastating viruses. Modern agriculture has seen a history of invasive whitefly species and populations that expand to novel regions, bringing along fierce viruses. Control efforts are hindered by fast virus transmission, insecticide-resistant populations, and a wide host range which permits large natural reservoirs for whiteflies. Augmentative biocontrol by parasitoids while effective in suppressing high population densities in greenhouses falls short when it comes to preventing virus transmission and is ineffective in the open field. A potential source of much needed novel control strategies lays within a diverse community of whitefly endosymbionts. The idea to exploit endosymbionts for whitefly control is as old as identification of these bacteria, yet it still has not come to fruition. We review where our knowledge stands on the aspects of whitefly endosymbiont evolution, biology, metabolism, multitrophic interactions, and population dynamics. We show how these insights are bringing us closer to the goal of better integrated pest management strategies. Combining most up to date understanding of whitefly-endosymbiont interactions and recent technological advances, we discuss possibilities of disrupting and manipulating whitefly endosymbionts, as well as using them for pest control.Entities:
Keywords: Bacteria; Bemisia; Endosymbionts; IPM; Symbionts; Whitefly
Year: 2021 PMID: 34744550 PMCID: PMC8562023 DOI: 10.1007/s10340-021-01451-7
Source DB: PubMed Journal: J Pest Sci (2004) ISSN: 1612-4758 Impact factor: 5.742
Fig. 1Co-authorship network of whitefly endosymbiont research community. Authors are represented as nodes linked by publication co-authorship. Link strength (line thickness) is proportional to the number of co-authored publications. Eight major clusters (teams) can be identified based solely on co-authorship using VOSviewer clustering and layout algorithm with default settings. Figure was generated using VOSviewer v1.6.14 software
Fig. 2Nymph of Bemisia tabaci MED on tomato leaf imaged under optical microscope (left) and laser scanning confocal fluorescence microscope (right). In fluorescence microscope image, green color represents fluorescence of Cy3 labeled Portiera-specific DNA probe, while red represents Cy5 labeled Rickettsia-specific DNA probe. Light blue represents cuticle autofluorescence signal when excited with 405 nm laser line. Fluorescence in situ hybridization was performed according to protocol described by Brumin et al. (2012). In optical microscope image, location of bacteriocytes is easily recognized through the translucent cuticle due to their high carotenoid content which results in yellow appearance. In fluorescence image, four bacteriocyte cells can be seen clearly due to the high density of labeled Portiera. Image composite was generated using Zeiss ZEN Black 3.3 and Adobe Photoshop CC