@article{WatanabeTohgeBalazadehetal.2018,
  author    = {Watanabe, Mutsumi and Tohge, Takayuki and Balazadeh, Salma and Erban, Alexander and Giavalisco, Patrick and Kopka, Joachim and Mueller-Roeber, Bernd and Fernie, Alisdair R. and Hoefgen, Rainer},
  title     = {Comprehensive Metabolomics Studies of Plant Developmental Senescence},
  series = {Plant Senescence: Methods and Protocols},
  volume    = {1744},
  journal   = {Plant Senescence: Methods and Protocols},
  publisher = {Humana Press},
  address   = {Totowa},
  isbn      = {978-1-4939-7672-0},
  issn      = {1064-3745},
  doi       = {10.1007/978-1-4939-7672-0_28},
  pages     = {339 -- 358},
  year      = {2018},
  abstract  = {Leaf senescence is an essential developmental process that involves diverse metabolic changes associated with degradation of macromolecules allowing nutrient recycling and remobilization. In contrast to the significant progress in transcriptomic analysis of leaf senescence, metabolomics analyses have been relatively limited. A broad overview of metabolic changes during leaf senescence including the interactions between various metabolic pathways is required to gain a better understanding of the leaf senescence allowing to link transcriptomics with metabolomics and physiology. In this chapter, we describe how to obtain comprehensive metabolite profiles and how to dissect metabolic shifts during leaf senescence in the model plant Arabidopsis thaliana. Unlike nucleic acid analysis for transcriptomics, a comprehensive metabolite profile can only be achieved by combining a suite of analytic tools. Here, information is provided for measurements of the contents of chlorophyll, soluble proteins, and starch by spectrophotometric methods, ions by ion chromatography, thiols and amino acids by HPLC, primary metabolites by GC/TOF-MS, and secondary metabolites and lipophilic metabolites by LC/ESI-MS. These metabolite profiles provide a rich catalogue of metabolic changes during leaf senescence, which is a helpful database and blueprint to be correlated to future studies such as transcriptome and proteome analyses, forward and reverse genetic studies, or stress-induced senescence studies.},
  language  = {en}
}
@article{NeugartWiesnerReinholdFredeetal.2018,
  author    = {Neugart, Susanne and Wiesner-Reinhold, Melanie and Frede, Katja and Jander, Elisabeth and Homann, Thomas and Rawel, Harshadrai Manilal and Schreiner, Monika and Baldermann, Susanne},
  title     = {Effect of Solid Biological Waste Compost on the Metabolite Profile of Brassica rapa ssp chinensis},
  series = {Frontiers in plant science : FPLS},
  volume    = {9},
  journal   = {Frontiers in plant science : FPLS},
  publisher = {Frontiers Media},
  address   = {Lausanne},
  issn      = {1664-462X},
  doi       = {10.3389/fpls.2018.00305},
  pages     = {13},
  year      = {2018},
  abstract  = {Large quantities of biological waste are generated at various steps within the food production chain and a great utilization potential for this solid biological waste exists apart from the current main usage for the feedstuff sector. It remains unclear how the usage of biological waste as compost modulates plant metabolites. We investigated the effect of biological waste of the processing of coffee, aronia, and hop added to soil on the plant metabolite profile by means of liquid chromatography in pak choi sprouts. Here we demonstrate that the solid biological waste composts induced specific changes in the metabolite profiles and the changes are depending on the type of the organic residues and its concentration in soil. The targeted analysis of selected plant metabolites, associated with health beneficial properties of the Brassicaceae family, revealed increased concentrations of carotenoids (up to 3.2-fold) and decreased amounts of glucosinolates (up to 4.7-fold) as well as phenolic compounds (up to 1.5-fold).},
  language  = {en}
}