@misc{OmranianKleessenTohgeetal.2015,
  author    = {Omranian, Nooshin and Kleessen, Sabrina and Tohge, Takayuki and Klie, Sebastian and Basler, Georg and M{\"u}ller-R{\"o}ber, Bernd and Fernie, Alisdair R. and Nikoloski, Zoran},
  title     = {Differential metabolic and coexpression networks of plant metabolism},
  series = {Trends in plant science},
  volume    = {20},
  journal   = {Trends in plant science},
  number    = {5},
  publisher = {Elsevier},
  address   = {London},
  issn      = {1360-1385},
  doi       = {10.1016/j.tplants.2015.02.002},
  pages     = {266 -- 268},
  year      = {2015},
  abstract  = {Recent analyses have demonstrated that plant metabolic networks do not differ in their structural properties and that genes involved in basic metabolic processes show smaller coexpression than genes involved in specialized metabolism. By contrast, our analysis reveals differences in the structure of plant metabolic networks and patterns of coexpression for genes in (non)specialized metabolism. Here we caution that conclusions concerning the organization of plant metabolism based on network-driven analyses strongly depend on the computational approaches used.},
  language  = {en}
}
@article{AlseekhTohgeWendenbergetal.2015,
  author    = {Alseekh, Saleh and Tohge, Takayuki and Wendenberg, Regina and Scossa, Federico and Omranian, Nooshin and Li, Jie and Kleessen, Sabrina and Giavalisco, Patrick and Pleban, Tzili and M{\"u}ller-R{\"o}ber, Bernd and Zamir, Dani and Nikoloski, Zoran and Fernie, Alisdair R.},
  title     = {Identification and Mode of Inheritance of Quantitative Trait Loci for Secondary Metabolite Abundance in Tomato},
  series = {The plant cell},
  volume    = {27},
  journal   = {The plant cell},
  number    = {3},
  publisher = {American Society of Plant Physiologists},
  address   = {Rockville},
  issn      = {1040-4651},
  doi       = {10.1105/tpc.114.132266},
  pages     = {485 -- 512},
  year      = {2015},
  abstract  = {A large-scale metabolic quantitative trait loci (mQTL) analysis was performed on the well-characterized Solanum pennellii introgression lines to investigate the genomic regions associated with secondary metabolism in tomato fruit pericarp. In total, 679 mQTLs were detected across the 76 introgression lines. Heritability analyses revealed that mQTLs of secondary metabolism were less affected by environment than mQTLs of primary metabolism. Network analysis allowed us to assess the interconnectivity of primary and secondary metabolism as well as to compare and contrast their respective associations with morphological traits. Additionally, we applied a recently established real-time quantitative PCR platform to gain insight into transcriptional control mechanisms of a subset of the mQTLs, including those for hydroxycinnamates, acyl-sugar, naringenin chalcone, and a range of glycoalkaloids. Intriguingly, many of these compounds displayed a dominant-negative mode of inheritance, which is contrary to the conventional wisdom that secondary metabolite contents decreased on domestication. We additionally performed an exemplary evaluation of two candidate genes for glycolalkaloid mQTLs via the use of virus-induced gene silencing. The combined data of this study were compared with previous results on primary metabolism obtained from the same material and to other studies of natural variance of secondary metabolism.},
  language  = {en}
}