title: Plant sulfur and Big Data.
abstract: Sulfur is an essential mineral nutrient for plants, therefore, the pathways of its uptake and assimilation have been extensively studied. Great progress has been made in elucidation of the individual genes and enzymes and their regulation. Sulfur assimilation has been intensively investigated by -omics technologies and has been target of several genome wide genetic approaches. This brought a significant step in our understanding of the regulation of the pathway and its integration in cellular metabolism. However, the large amount of information derived from other experiments not directly targeting sulfur has also brought new and exciting insights into processes affecting sulfur homeostasis. In this review we will integrate the findings of the targeted experiments with those that brought unintentional progress in sulfur research, and will discuss how to synthesize the large amount of information available in various repositories into a meaningful dissection of the regulation of a specific metabolic pathway. We then speculate how this might be used to further advance knowledge on control of sulfur metabolism and what are the main questions to be answered.
authors.affiliation: Botanical Institute, Cluster of Excellence on Plant Sciences (CEPLAS), University of Cologne, Germany. Electronic address: skopriva@uni-koeln.de.
authors.forename: Stanislav
authors.initials: S
authors.lastname: Kopriva
authors.affiliation: John Innes Centre, Norwich, UK.
authors.forename: Alexander
authors.initials: A
authors.lastname: Calderwood
authors.affiliation: Botanical Institute, Cluster of Excellence on Plant Sciences (CEPLAS), University of Cologne, Germany.
authors.forename: Silke C
authors.initials: SC
authors.lastname: Weckopp
authors.affiliation: Botanical Institute, Cluster of Excellence on Plant Sciences (CEPLAS), University of Cologne, Germany.
authors.forename: Anna
authors.initials: A
authors.lastname: Koprivova
mesh_terms: D010944:Plants / Q000378:metabolism*; D013455:Sulfur / Q000378:metabolism*
chemical_list: D013455:Sulfur
keywords: Genome wide association; Glucosinolates; Glutathione; Sulfate assimilation; Systems biology