J Integr Plant Biol. ›› 2016, Vol. 58 ›› Issue (4): 397-412.DOI: 10.1111/jipb.12449

• Research Articles • Previous Articles     Next Articles

Quantitative resistance against Bemisia tabaci in Solanum pennellii: Genetics and metabolomics

Floor van den Oever-van den Elsen1,2,3†, Alejandro F. Lucatti1,3‡, Sjaak van Heusden1, Colette Broekgaarden, Roland Mumm4, Marcel Dicke2 and Ben Vosman1*   

  1. 1Wageningen UR Plant Breeding, Wageningen University and Research Centre, 6700AJ, Wageningen, The Netherlands
    2Laboratory of Entomology, Wageningen University and Research Centre, 6700AA, Wageningen, The Netherlands
    3Graduate School Experimental Plant Sciences, Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands
    4Plant Research International, Business Unit Bioscience, Wageningen University and Research Centre, 6700AA Wageningen, The Netherlands
  • Received:2015-05-06 Accepted:2015-11-11 Published:2016-04-11
  • About author:Present address: Limgroup, Veld Oostenrijk 13, 5961 NV Horst, The Netherlands.
    Present address: Bayer CropScience Vegetable Seeds, Napoleonsweg 152, 6083 AB Nunhem, The Netherlands.
    §Present address: Plant-Microbe Interactions, Department of Biology, Faculty of Science, Utrecht University, Utrecht, The Netherlands.
    *Correspondence: E-mail: ben.vosman@wur.nl

Abstract:

The whitefly Bemisia tabaci is a serious threat in tomato cultivation worldwide as all varieties grown today are highly susceptible to this devastating herbivorous insect. Many accessions of the tomato wild relative Solanum pennellii show a high resistance towards B. tabaci. A mapping approach was used to elucidate the genetic background of whitefly-resistance related traits and associated biochemical traits in this species. Minor quantitative trait loci (QTLs) for whitefly adult survival (AS) and oviposition rate (OR) were identified and some were confirmed in an F2BC1 population, where they showed increased percentages of explained variance (more than 30%). Bulked segregant analyses on pools of whitefly-resistant and -susceptible F2 plants enabled the identification of metabolites that correlate either with resistance or susceptibility. Genetic mapping of these metabolites showed that a large number of them co-localize with whitefly-resistance QTLs. Some of these whitefly-resistance QTLs are hotspots for metabolite QTLs. Although a large number of metabolite QTLs correlated to whitefly resistance or susceptibility, most of them are yet unknown compounds and further studies are needed to identify the metabolic pathways and genes involved. The results indicate a direct genetic correlation between biochemical-based resistance characteristics and reduced whitefly incidence in S. pennellii.

Key words: Genetic linkage map, life-history, metabolic fingerprinting, parameters, tomato, whitefly

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