Metabolic profiles of sunflower genotypes with contrasting response to Sclerotinia sclerotiorum infection
We report a comprehensive primary metabolite profiling of sunflower (Helianthus annuus) genotypes displaying contrasting behavior to Sclerotinia sclerotiorum infection. Applying a GC-MS-based metabolite profiling approach, we were able to identify differential patterns involving a total of 63 metabo...
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2010
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| LEADER | 25834caa a22017177a 4500 | ||
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| 001 | PAPER-8199 | ||
| 003 | AR-BaUEN | ||
| 005 | 20230518203801.0 | ||
| 008 | 190411s2010 xx ||||fo|||| 00| 0 eng|d | ||
| 024 | 7 | |2 scopus |a 2-s2.0-71849099319 | |
| 040 | |a Scopus |b spa |c AR-BaUEN |d AR-BaUEN | ||
| 030 | |a PYTCA | ||
| 100 | 1 | |a Peluffo, L. | |
| 245 | 1 | 0 | |a Metabolic profiles of sunflower genotypes with contrasting response to Sclerotinia sclerotiorum infection |
| 260 | |b Elsevier Ltd |c 2010 | ||
| 270 | 1 | 0 | |m Heinz, R.; Instituto de Biotecnología, CICVyA, Instituto Nacional de Tecnología Agropecuaria (IB-INTA)Argentina; email: rheinz@cnia.inta.gov.ar |
| 506 | |2 openaire |e Política editorial | ||
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| 520 | 3 | |a We report a comprehensive primary metabolite profiling of sunflower (Helianthus annuus) genotypes displaying contrasting behavior to Sclerotinia sclerotiorum infection. Applying a GC-MS-based metabolite profiling approach, we were able to identify differential patterns involving a total of 63 metabolites including major and minor sugars and sugar alcohols, organic acids, amino acids, fatty acids and few soluble secondary metabolites in the sunflower capitulum, the main target organ of pathogen attack. Metabolic changes and disease incidence of the two contrasting genotypes were determined throughout the main infection period (R5.2-R6). Both point-by-point and non-parametric statistical analyses showed metabolic differences between genotypes as well as interaction effects between genotype and time after inoculation. Network correlation analyses suggested that these metabolic changes were synchronized in a time-dependent manner in response to the pathogen. Concerted differential metabolic changes were detected to a higher extent in the susceptible, rather than the resistant genotype, thereby allowing differentiation of modules composed by intermediates of the same pathway which are highly interconnected in the susceptible line but not in the resistant one. Evaluation of these data also demonstrated a genotype specific regulation of distinct metabolic pathways, suggesting the importance of detection of metabolic patterns rather than specific metabolite changes when looking for metabolic markers differentially responding to pathogen infection. In summary, the GC-MS strategy developed in this study was suitable for detection of differences in carbon primary metabolism in sunflower capitulum, a tissue which is the main entry point for this and other pathogens which cause great detrimental impact on crop yield. © 2009 Elsevier Ltd. All rights reserved. |l eng | |
| 536 | |a Detalles de la financiación: California Department of Fish and Game | ||
| 536 | |a Detalles de la financiación: Instituto Nacional de Tecnología Agropecuaria | ||
| 536 | |a Detalles de la financiación: Royal Adelaide Hospital | ||
| 536 | |a Detalles de la financiación: Agencia Nacional de Promoción Científica y Tecnológica | ||
| 536 | |a Detalles de la financiación: Consejo Nacional de Investigaciones Científicas y Técnicas | ||
| 536 | |a Detalles de la financiación: This work was partially supported with grants from the Max Planck Society (Germany) to ARF and FC, DFG (Germany) to AL, INTA (Argentina) to RAH, ANPCyT (Argentina) to RAH and CONICET (Argentina) to RAH and FC. LP holds a CONICET PhD fellowship. FC, VL, NP and RAH are members of CONICET. HEH, AE, NP and RAH are independent researchers at INTA. We thank Christian Kristukat for help with the Python IDLE software. Appendix A | ||
| 593 | |a Instituto de Biotecnología, CICVyA, Instituto Nacional de Tecnología Agropecuaria (IB-INTA), Argentina | ||
| 593 | |a Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina | ||
| 593 | |a Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina | ||
| 593 | |a Unidad integrada INTA Balcarce-Universidad Nacional de Mar del Plata, Argentina | ||
| 593 | |a Max-Planck-Institut für Molekulare Pflanzenphysiologie, Am Mühlenberg 1, 14476 Postdam, Golm, Germany | ||
| 690 | 1 | 0 | |a COMPOSITAE |
| 690 | 1 | 0 | |a HEAD ROT DISEASE |
| 690 | 1 | 0 | |a HELIANTHUS ANNUUS L. |
| 690 | 1 | 0 | |a METABOLITE PROFILING |
| 690 | 1 | 0 | |a SINK ORGAN METABOLISM |
| 690 | 1 | 0 | |a SUNFLOWER |
| 690 | 1 | 0 | |a ASTERACEAE |
| 690 | 1 | 0 | |a HELIANTHUS |
| 690 | 1 | 0 | |a HELIANTHUS ANNUUS |
| 690 | 1 | 0 | |a SCLEROTINIA SCLEROTIORUM |
| 700 | 1 | |a Lia, V. | |
| 700 | 1 | |a Troglia, C. | |
| 700 | 1 | |a Maringolo, C. | |
| 700 | 1 | |a Norma, P. | |
| 700 | 1 | |a Escande, A. | |
| 700 | 1 | |a Esteban Hopp, H. | |
| 700 | 1 | |a Lytovchenko, A. | |
| 700 | 1 | |a Fernie, A.R. | |
| 700 | 1 | |a Heinz, R. | |
| 700 | 1 | |a Carrari, F. | |
| 773 | 0 | |d Elsevier Ltd, 2010 |g v. 71 |h pp. 70-80 |k n. 1 |p Phytochemistry |x 00319422 |w (AR-BaUEN)CENRE-88 |t Phytochemistry | |
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| 856 | 4 | 0 | |u https://doi.org/10.1016/j.phytochem.2009.09.018 |y DOI |
| 856 | 4 | 0 | |u https://hdl.handle.net/20.500.12110/paper_00319422_v71_n1_p70_Peluffo |y Handle |
| 856 | 4 | 0 | |u https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00319422_v71_n1_p70_Peluffo |y Registro en la Biblioteca Digital |
| 961 | |a paper_00319422_v71_n1_p70_Peluffo |b paper |c PE | ||
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| 963 | |a VARI | ||
| 999 | |c 69152 | ||