TY - JOUR A1 - Steinfath, Matthias A1 - Strehmel, Nadine A1 - Peters, Rolf A1 - Schauer, Nicolas A1 - Groth, Detlef A1 - Hummel, Jan A1 - Steup, Martin A1 - Selbig, Joachim A1 - Kopka, Joachim A1 - Geigenberger, Peter A1 - Dongen, Joost T. van T1 - Discovering plant metabolic biomarkers for phenotype prediction using an untargeted approach N2 - Biomarkers are used to predict phenotypical properties before these features become apparent and, therefore, are valuable tools for both fundamental and applied research. Diagnostic biomarkers have been discovered in medicine many decades ago and are now commonly applied. While this is routine in the field of medicine, it is of surprise that in agriculture this approach has never been investigated. Up to now, the prediction of phenotypes in plants was based on growing plants and assaying the organs of interest in a time intensive process. For the first time, we demonstrate in this study the application of metabolomics to predict agronomic important phenotypes of a crop plant that was grown in different environments. Our procedure consists of established techniques to screen untargeted for a large amount of metabolites in parallel, in combination with machine learning methods. By using this combination of metabolomics and biomathematical tools metabolites were identified that can be used as biomarkers to improve the prediction of traits. The predictive metabolites can be selected and used subsequently to develop fast, targeted and low-cost diagnostic biomarker assays that can be implemented in breeding programs or quality assessment analysis. The identified metabolic biomarkers allow for the prediction of crop product quality. Furthermore, marker-assisted selection can benefit from the discovery of metabolic biomarkers when other molecular markers come to its limitation. The described marker selection method was developed for potato tubers, but is generally applicable to any crop and trait as it functions independently of genomic information. Y1 - 2010 UR - http://www3.interscience.wiley.com/cgi-bin/issn?DESCRIPTOR=PRINTISSN&VALUE=1467-7644 U6 - https://doi.org/10.1111/j.1467-7652.2010.00516.x SN - 1467-7644 ER - TY - GEN A1 - Wippert, Pia-Maria A1 - Block, Andrea A1 - Mansuy, Isabelle M. A1 - Peters, Eva M. J. A1 - Rose, Matthias A1 - Rapp, Michael Armin A1 - Huppertz, Alexander A1 - Würtz-Kozak, Karin T1 - Alterations in Bone Homeostasis and Microstructure Related to Depression and Allostatic Load T2 - Psychotherapy and Psychosomatics Y1 - 2019 U6 - https://doi.org/10.1159/000503640 SN - 0033-3190 SN - 1423-0348 VL - 88 IS - 6 SP - 383 EP - 385 PB - Karger CY - Basel ER - TY - GEN A1 - Kalkuhl, Matthias A1 - Steckel, Jan Christoph A1 - Montrone, Lorenzo A1 - Jakob, Michael A1 - Peters, Jörg A1 - Edenhofer, Ottmar T1 - Successful coal phase-out requires new models of development T2 - Nature Energy N2 - Different energy sources have different spillovers on economic development and industrialization. Pathways of economic development based on renewable energy sources might require additional policies to support industrial development. Y1 - 2019 U6 - https://doi.org/10.1038/s41560-019-0500-5 SN - 2058-7546 VL - 4 IS - 11 SP - 897 EP - 900 PB - Nature Publ. Group CY - London ER -