Mass spectrometry-based metabolomic discrimination of Cercospora leaf spot resistant and susceptible sugar beet germplasms
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A better understanding of the plant metabolites produced in response to disease infection may be useful for the development of disease-resistant crop varieties. In the present study, ultra high-performance liquid chromatography coupled to quadrupole-time-of-flight mass spectrometry (QTOF-MS) was used to identify differentially accumulated metabolites in a subset of sugar beet genotypes harbouring different levels of resistance to Cercospora leaf spot (CLS), a disease caused by the fungal pathogen Cercospora beticola. Leaves of three susceptible (S1, S2 and S3) and two resistant (R1 and R2) genotypes were subjected to QTOF-MS for metabolite profiling. A wide range of metabolites was identified in sugar beet genotypes using metabolomics. Results of Partial Least Squares-Discriminant Analysis indicated that 15 metabolites could better discriminate resistant and susceptible genotypes. A Volcano Plot analysis indicated that the flavonoid quercetin 3-O-(6″-O-p-coumaroyl)-glucoside and gibberellin A51 with the highest absolute fold change (FC = 16), were repressed in resistant samples. Among the 3 metabolites (isovitexin-7-O-xyloside, 3-demethylubiquinol-8 and apigenin 7-O-d-glucoside) showing significant up accumulation in CLS-resistant samples, the flavonoid isovitexin-7-O-xyloside (FC = 4825.634) is associated with resistance to infection with fungal species causing the disease in other crops. Although further studies are still necessary to better elucidate the mechanism of resistance, our results suggest that breeders might exclude susceptible plants based on discriminating metabolites without the need for field inoculation tests. The results also create a solid basis for metabolite-associated reverse genetics and single nucleotide polymorphism discovery based on significantly differentially accumulated metabolites, whose identification is a next strategic priority. The results obtained also underline the role of metabolic signature in CLS resistance mechanisms and provide a platform for the metabolic engineering of sugar beet with higher resistance against C. beticola pathogen.
KeywordsCercospora leaf spot Disease resistance Liquid chromatography Metabolomics Sugar beet
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Conflict of interest
The authors declare that no conflict of interest exists.
- Lattanzio V, Lattanzio VM, Cardinali A (2006) Role of phenolics in the resistance mechanisms of plants against fungal pathogens and insects. Phytochem Adv Res 2006:23–67Google Scholar
- Li H, Smigocki AC (2016) Transcriptome analysis of sugar beet root maggot (Tetanops myopaeformis) genes modulated by the Beta vulgaris host. Insect Sci 2:222–234Google Scholar
- Lucini L, Borgognone D, Rouphael Y, Cardarelli M, Bernardi J, Colla G (2016) Mild potassium chloride stress alters the mineral composition, hormone network, and phenolic profile in artichoke leaves. Front Plant Sci 7:948. https://doi.org/10.3389/fpls.2016.00948 PubMedPubMedCentralCrossRefGoogle Scholar
- Ruppel EG, Gaskill JO (1971) Techniques for evaluating sugar beet for resistance to Cercospora beticola in the field. J ASSBT 16:384–389Google Scholar
- Wang J, Tao SH, Song J, Ji J (2014) Hashing for similarity search: a survey. arXiv preprint arXiv:1408.2927
- Webb KM, Wintermantel WM, Kaur N, Prenni JE, Broccardo CJ, Wolfe LM et al (2015) Differential abundance of proteins in response to Beet necrotic yellow vein virus during compatible and incompatible interactions in sugar beet containing Rz1 or Rz2. Physiol Mol Plant Pathol 91:96–105CrossRefGoogle Scholar
- Zhao S, Guo Y, Sheng Q, Shyr Y (2014) Advanced heat map and clustering analysis using heatmap3. Bio Med Res Int 2014:1–6Google Scholar