@article{WhitcombNguyenBrueckneretal.2018,
  author    = {Whitcomb, Sarah J. and Nguyen, Huu Cuong and Br{\"u}ckner, Franziska and Hesse, Holger and Hoefgen, Rainer},
  title     = {CYSTATHIONINE GAMMA-SYNTHASE activity in rice is developmentally regulated and strongly correlated with sulfate},
  series = {Plant science : an international journal of experimental plant biology},
  volume    = {270},
  journal   = {Plant science : an international journal of experimental plant biology},
  publisher = {Elsevier},
  address   = {Clare},
  issn      = {0168-9452},
  doi       = {10.1016/j.plantsci.2018.02.016},
  pages     = {234 -- 244},
  year      = {2018},
  abstract  = {An important goal of rice cultivar development is improvement of protein quality, especially with respect to essential amino acids such as methionine. With the goal of increasing seed methionine content, we generated Oryza sativa ssp. japonica cv. Taipei 309 transgenic lines expressing a feedback-desensitized CYSTATHIONINE GAMMA-SYNTHASE from Arabidopsis thaliana (AtD-CGS) under the control of the maize ubiquitin promoter. Despite persistently elevated cystathionine gamma-synthase (CGS) activity in the AtD-CGS transgenic lines relative to untransformed Taipei, sulfate was the only sulfur-containing compound found to be elevated throughout vegetative development. Accumulation of methionine and other sulfur-containing metabolites was limited to the leaves of young plants. Sulfate concentration was found to strongly and positively correlate with CGS activity across vegetative development, irrespective of whether the activity was provided by the endogenous rice CGS or by a combination of endogenous and AtD-CGS. Conversely, the concentrations of glutathione, valine, and leucine were clearly negatively correlated with CGS activity in the same tissues. We also observed a strong decrease in CGS activity in both untransformed Taipei and the AtD-CGS transgenic lines as the plants approached heading stage. The mechanism for this downregulation is currently unknown and of potential importance for efforts to increase methionine content in rice.},
  language  = {en}
}
@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}
}