Abstract
Potato Solanum phureja Juz. & Bukasov crop species' metobolome at the flowering stage includes 234 compounds, 117 of which were identified. The most represented group among them contains sugars and their derivatives that are in accordance with intensive carbohydrate exchange of potato tissues and organs. Young leaves and developing reproductive organs are characterized by a wide spectrum of organic and amino acids, nitrogen-containing compounds, and lipids as well as compounds of secondary metabolism that may indicate the intensity of metabolic processes and the formation of defense mechanisms. Depletion of metabolites’ profile in senescent leaves agrees with the idea of weakening synthetic processes in them and the onset of metabolites’ outflow to new forming attracting potato organs. Specificity of metabolic profiles, which corresponds to age and physiological status of potato organ or tissue, was revealed.
Similar content being viewed by others
References
Genome sequence and analysis of the tuber crop potato. The Potato Genome Sequencing Consortium, Nature, 2011, vol. 475, pp. 189–195. doi 10.1038/nature10158
Dobson, G., Shepherd, T., Verrall, S.R., Griffiths, W.D., Ramsay, G., McNicol, J.W., Davies, H.V., and Stewart, D., A metabolomics study of cultivated potato (Solanum tuberosum) groups Andigena, Phureja, Stenotomum, and Tuberosum using gas chromatography–mass spectrometry, J. Agric. Food Chem., 2010, vol. 58, pp. 1214–1223. doi 10.1021/jf903104b
Liu, Y., Lin-Wang, K., Deng, C., Warran, B., Wang, L., Yu, B., Yang, H., Wang, J., Espley, R.V., Zhang, J., Wang, D., and Allan, A.C., Comparative transcriptome analysis of white and purple potato to identify genes involved in anthocyanin biosynthesis, PLoS One, 2015, vol. 10: e0129148. doi 10.1371/journal.pone.0129148
Shepherd, L.V.T., Alexander, C.A., Sungurtas, J.A., McNicol, J.W., Stewart, D., and Davies, H.V., Metabolomic analysis of the potato tuber life cycle, Metabolomics, 2010, vol. 6, pp. 274–291. doi 10.1007/s11306-009-0183-1
Boughton, B.A., Thinagaran, D., Sarabia, D., Bacic, A., and Roessner, U., Mass spectrometry imaging for plant biology: a review, Phytochem. Rev., 2016, vol. 15, pp. 445–488. doi 10.1007/s11101-015-9440-2
Obata, T. and Fernie, A.R., The use of metabolomics to dissect plant responses to abiotic stresses, Cell Mol. Life Sci., 2012, vol. 69, pp. 3225–3243. doi 10.1007/s00018-012-1091-5
Nakabayashi, R. and Saito, K., Integrated metabolomics for abiotic stress responses in plants, Curr. Opin. Plant Biol., 2015, vol. 24, pp. 10–16. doi 10.1016/j.pbi.2015.01.003
Kushalappa, A.C. and Gunnaiah, R., Metabolo-proteomics to discover plant biotic stress resistance genes, Trends Plant Sci., 2013, vol. 18, pp. 522–531. doi 10.1016/j.tplants.2013.05.002
Frank, T. and Engel, K., Metabolomic analysis of plants and crops, in Metabolomics in Food and Nutrition, Weimer, B.C. and Slupsky, C.M., Eds., Amsterdam: Elsevier, 2013, pp. 148–191. doi 10.1533/9780857098818.2.148
Kotlova, E.R., Puzanskii, R.K., Danchul, T.Yu., Shagova, L.I., Pautova, I.A., and Shavarda, A.L., Agastache mexicana (Lamiaceae) as a model for study of plant secondary metabolism by the metabolomic methods, Rastit. Resur., 2016, vol. 52, pp. 591–609.
Roessner, U., Wagner, C., Kopka, J., Trethewey, R.N., and Willmitzer, L., Simultaneous analysis of metabolites in potato tuber by gas chromatography–mass spectrometry, Plant J., 2000, vol. 23, pp. 131–142. doi 10.1046/j.1365-313x.2000.00774.x
Puzanskiy, R.K., Emel’yanov, V.V., Gavrilenko, T.A., and Shishova, M.F., The perspectives of metabolomic studies of potato plants, Russ. J. Genet.: Appl. Res., 2017, vol. 7, no. 7, pp. 744–756.
Brunetti, C., George, R.M., Tattini, M., Field, K., and Davey, M.P., Metabolomics in plant environmental physiology, J. Exp. Bot., 2013, vol. 64, pp. 4011–4020. doi 10.1093/jxb/ert244
Abu-Nada, Y., Kushalappa, A.C., Marshall, W.D., Al-Mughrabi, K., and Murphy, A., Temporal dynamics of pathogenesis-related metabolites and their plausible pathways of induction in potato leaves following inoculation with Phytophthora infestans, Eur. J. Plant Pathol., 2007, vol. 118, pp. 375–391. doi 10.1007/s10658-007-9150-8
Tomita, S., Ikeda, S., Tsuda, S., Someya, N., Asano, K., Kikuchi, J., Chikayama, E., Ono, H., and Sekiyama, Y., A survey of metabolic changes in potato leaves by NMRbased metabolic profiling in relation to resistance to late blight disease under field conditions, Magn. Reson. Chem., 2017, vol. 55, pp. 120–127. doi 10.1002/mrc.4506
Kloosterman, B., Anithakumari, A.M., Chibon, P.-Y., Oortwijn, M., van der Linden, G.C., Visser, R.G.F., and Bachem, C.W.B., Organ specificity and transcriptional control of metabolic routes revealed by expression QTL profiling of source–sink tissues in a segregating potato population, BMC Plant Biol., 2012, vol. 12: 17. doi 10.1186/1471-2229-12-17
Paupiere, M.J., van Heusden, A.W., and Bovy, A.G., The metabolic basis of pollen thermo-tolerance: perspectives for breeding, Metabolites, 2014, vol. 4, pp. 889–920. doi 10.3390/metabo4040889
R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, 2016. https://www.R-project.org/.
Gu, Z., Eils, R., and Schlesner, M., Complex heatmaps reveal patterns and correlations in multidimensional genomic data, Bioinformatics, 2016, vol. 32, pp. 2847–2849. doi 10.1093/bioinformatics/btw313
Stacklies, W., Redestig, H., Scholz, M., Walther, D., and Selbig, J., pcaMethods—a bioconductor package providing PCA methods for incomplete data, Bioinformatics, 2007, vol. 23, pp. 1164–1167. doi 10.1093/bioinformatics/btm069
Bartenhagen, C., RDRToolbox: A Package for Nonlinear Dimension Reduction with Isomap and LLE, Version 1.24.0, 2014.
Liaw, A. and Wiener, M., Classification and regression by random forest, R News, 2002, vol. 2, pp. 18–22.
Thevenot, E.A., Roux, A., Xu, Y., Ezan, E., and Junot, C., Analysis of the human adult urinary metabolome variations with age, body mass index and gender by implementing a comprehensive workflow for univariate and OPLS statistical analyses, J. Proteome Res., 2015, vol. 14, pp. 3322–3335. doi 10.1021/acs.jproteome.5b00354
Sliwka, J., Soltys-Kalina, D., Szajko, K., Wasilewicz-Flis, I., Strzelczyk-Zyta, D., Zimnoch-Guzowska, E., Jakuczun, H., and Marczewski, W., Mapping of quantitative trait loci for tuber starch and leaf sucrose contents in diploid potato, Theor. Appl. Genet., 2016, vol. 129, pp. 131–140. doi 10.1007/s00122-015-2615-9
Ramadan, M.F. and Oraby, H.F., Fatty acids and bioactive lipids of potato cultivars: an overview, J. Oleo Sci., 2016, vol. 65, pp. 459–470. doi 10.5650/jos.ess16015
Spychalla, J.P. and Desborough, S.L., Fatty acids, membrane permeability, and sugars of stored potato tubers, Plant Physiol., 1990, vol. 94, pp. 1207–1213. doi 10.1104/pp.94.3.1207
Henriquez, M.A., Adam, L.R., and Daayf, F., Alteration of secondary metabolites' profiles in potato leaves in response to weakly and highly aggressive isolates of Phytophthora infestans, Plant Physiol. Biochem., 2012, vol. 57, pp. 8–14. doi 10.1016/j.plaphy.2012.04.013
Jia, S., Wang, Y., Hu, J., Ding, Z., Liang, Q., Zhang, Y., and Wang, H., Mineral and metabolic profiles in tea leaves and flowers during flower development, Plant Physiol. Biochem., 2016, vol. 106, pp. 316–326. doi 10.1016/j.plaphy.2016.06.013
Dobrovol'skaya, A.A., Rodionova, G.B., Voronkov, A.S., and Kovaleva, L.V., Sporophyte–gametophyte interactions between anther and male gametophyte in petunia, Russ. J. Plant Physiol., 2009, vol. 56, pp. 394–401.
Uri, C., Juhász, Z., Polgár, Z., and Bánfalvi, Z., A GC–MS-based metabolomics study on the tubers of commercial potato cultivars upon storage, Food Chem., 2014, vol. 159, pp. 287–292. doi 10.1016/j.foodchem.2014.03.p010
Author information
Authors and Affiliations
Corresponding author
Additional information
Original Russian Text © R.K. Puzanskiy, V.V. Yemelyanov, A.L. Shavarda, T.A. Gavrilenko, M.F. Shishova, 2018, published in Fiziologiya Rastenii, 2018, Vol. 65, No. 6, pp. 451–462.
Supplementary materials are available for this article at doi 10.1134/S1021443718060122 and are accessible for authorized users.
Electronic supplementary material
Rights and permissions
About this article
Cite this article
Puzanskiy, R.K., Yemelyanov, V.V., Shavarda, A.L. et al. Age- and Organ-Specific Differences of Potato (Solanum phureja) Plants Metabolome. Russ J Plant Physiol 65, 813–823 (2018). https://doi.org/10.1134/S1021443718060122
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S1021443718060122