Brotman Y - Search Results

1

The maize leaf lipidome shows multilevel genetic control and high predictive value for agronomic traits.

Riedelsheimer C, Brotman Y, Méret M, Melchinger AE, Willmitzer L. Riedelsheimer C, et al. Among authors: brotman y. Sci Rep. 2013;3:2479. doi: 10.1038/srep02479. Sci Rep. 2013. PMID: 23963398 Free PMC article.

2

Broadening Our Portfolio in the Genetic Improvement of Maize Chemical Composition.

Wen W, Brotman Y, Willmitzer L, Yan J, Fernie AR. Wen W, et al. Among authors: brotman y. Trends Genet. 2016 Aug;32(8):459-469. doi: 10.1016/j.tig.2016.05.003. Epub 2016 May 24. Trends Genet. 2016. PMID: 27235112 Review.

3

Combined Use of Genome-Wide Association Data and Correlation Networks Unravels Key Regulators of Primary Metabolism in Arabidopsis thaliana.

Wu S, Alseekh S, Cuadros-Inostroza Á, Fusari CM, Mutwil M, Kooke R, Keurentjes JB, Fernie AR, Willmitzer L, Brotman Y. Wu S, et al. Among authors: brotman y. PLoS Genet. 2016 Oct 19;12(10):e1006363. doi: 10.1371/journal.pgen.1006363. eCollection 2016 Oct. PLoS Genet. 2016. PMID: 27760136 Free PMC article.

4

Mapping the Arabidopsis Metabolic Landscape by Untargeted Metabolomics at Different Environmental Conditions.

Wu S, Tohge T, Cuadros-Inostroza Á, Tong H, Tenenboim H, Kooke R, Méret M, Keurentjes JB, Nikoloski Z, Fernie AR, Willmitzer L, Brotman Y. Wu S, et al. Among authors: brotman y. Mol Plant. 2018 Jan 8;11(1):118-134. doi: 10.1016/j.molp.2017.08.012. Epub 2017 Sep 1. Mol Plant. 2018. PMID: 28866081 Free article.

5

Unraveling lipid metabolism in maize with time-resolved multi-omics data.

de Abreu E Lima F, Li K, Wen W, Yan J, Nikoloski Z, Willmitzer L, Brotman Y. de Abreu E Lima F, et al. Among authors: brotman y. Plant J. 2018 Mar;93(6):1102-1115. doi: 10.1111/tpj.13833. Epub 2018 Feb 23. Plant J. 2018. PMID: 29385634 Free article.

6

Linking gene expression and membrane lipid composition of Arabidopsis.

Szymanski J, Brotman Y, Willmitzer L, Cuadros-Inostroza Á. Szymanski J, et al. Among authors: brotman y. Plant Cell. 2014 Mar;26(3):915-28. doi: 10.1105/tpc.113.118919. Epub 2014 Mar 18. Plant Cell. 2014. PMID: 24642935 Free PMC article.

7

Integrated genomics-based mapping reveals the genetics underlying maize flavonoid biosynthesis.

Jin M, Zhang X, Zhao M, Deng M, Du Y, Zhou Y, Wang S, Tohge T, Fernie AR, Willmitzer L, Brotman Y, Yan J, Wen W. Jin M, et al. Among authors: brotman y. BMC Plant Biol. 2017 Jan 18;17(1):17. doi: 10.1186/s12870-017-0972-z. BMC Plant Biol. 2017. PMID: 28100172 Free PMC article.

8

An integrated multi-layered analysis of the metabolic networks of different tissues uncovers key genetic components of primary metabolism in maize.

Wen W, Jin M, Li K, Liu H, Xiao Y, Zhao M, Alseekh S, Li W, de Abreu E Lima F, Brotman Y, Willmitzer L, Fernie AR, Yan J. Wen W, et al. Among authors: brotman y. Plant J. 2018 Mar;93(6):1116-1128. doi: 10.1111/tpj.13835. Epub 2018 Feb 24. Plant J. 2018. PMID: 29381266 Free article.

9

Transcript and metabolite analysis of the Trichoderma-induced systemic resistance response to Pseudomonas syringae in Arabidopsis thaliana.

Brotman Y, Lisec J, Méret M, Chet I, Willmitzer L, Viterbo A. Brotman Y, et al. Microbiology (Reading). 2012 Jan;158(Pt 1):139-146. doi: 10.1099/mic.0.052621-0. Epub 2011 Aug 18. Microbiology (Reading). 2012. PMID: 21852347 Free article.

10

Genomics-based strategies for the use of natural variation in the improvement of crop metabolism.

Scossa F, Brotman Y, de Abreu E Lima F, Willmitzer L, Nikoloski Z, Tohge T, Fernie AR. Scossa F, et al. Among authors: brotman y. Plant Sci. 2016 Jan;242:47-64. doi: 10.1016/j.plantsci.2015.05.021. Epub 2015 Jun 5. Plant Sci. 2016. PMID: 26566824 Review.

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