Genetic dissection of metabolite variation in plants using untargeted Metabolic Quantitative Trait Loci Analyses

发布时间 :2018-12-11  阅读次数 :2502

Department of Life Sciences, Ben-Gurion University of the Negev, Israel. P.O.B. 653 Beer-Sheva Beer-Sheva, Israel.

Address: Building# 39, Room 220,

Tel: 08-6428404, e-mail: brotmany@post.bgu.ac.il

 

时    间:20181214日,1:30 - 2:30 pm (Dec. 14, 2018)

地    点:生科院1号楼105会议室(Building#1 ROOM 105)

主持人:   张大兵 (Dabing Zhang)

 

Abstract: Metabolic Quantitative Trait Loci Analyses, whereupon metabolite levels are regarded as traits, can help unravel the genetic basis of metabolic networks. A total of 309Arabidopsis accessions were grown under two independent environmental conditions (control and stress) and subjected to untargeted LC–MS-based metabolomic profiling; levels of the obtained hydrophilic metabolites were used in genome wide association study (GWAS). Our two-condition-based GWAS for more than 3000 semi-polar metabolites resulted in the detection of 123 highly resolved metabolite quantitative trait loci (p≤ 1.0E-08), 24.39% of which were environment-specific. We selected 70 key candidate associations between structural genes and metabolites, and experimentally validated eight novel associations, two of them showing differential genetic regulation in the two environments studied.

In tomato, we conducted metabolic trait loci (mQTL) analysis following the lipidomic profiling of fruit pericarp and leaf tissue of the Solanum pennellii introgression lines (IL). We identified two members of the class III lipase family, LIP1 and LIP2, that were associated with decreased levels of diacylglycerols (DAGs) and triacylglycerols (TAGs). We further confirm the function of LIP1 in TAG and DAG breakdown and volatile synthesis, demonstrating at molecular level that release of free fatty acids from the glycerol backbone can have a major impact on downstream volatile synthesis.

References

Garbowicz, K., Z. Liu, S. Alseekh, D. Tieman, M. Taylor, A. Kuhalskaya, I. Ofner, D. Zamir, H. J. Klee, A. R. Fernie, and Y. Brotman. Quantitative Trait Loci Analysis Identifies a Prominent Gene Involved in the Production of Fatty Acid-Derived Flavor Volatiles in Tomato. Mol Plant, 2018, 11(9):1147-1165

Wu, S., T. Tohge, A. Cuadros-Inostroza, H. Tong, H. Tenenboim, R. Kooke, M. Meret, J. B. Keurentjes, Z. Nikoloski, A. R. Fernie, L. Willmitzer, and Y. Brotman. “Mapping the Arabidopsis Metabolic Landscape by Untargeted Metabolomics at Different Environmental Conditions.” Mol Plant, 2018, 11(1): 118-134.

Wu, S., S. Alseekh, A. Cuadros-Inostroza, C. M. Fusari, M. Mutwil, R. Kooke, J. B. Keurentjes, A. R. Fernie, L. Willmitzer, and Y. Brotman. “Combined Use of Genome-Wide Association Data and Correlation Networks Unravels Key Regulators of Primary Metabolism in Arabidopsis Thaliana.” PLoS Genet, 2016, 12 (10): e1006363.

 

CV: Dr. Yariv Brotman got his PhD degree in Biology from Bar-Ilan University in Israel at 2005, and finished his Post-doctorate study in Weizmann Institute of Science at 2008. He then moved to Max-Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany, as a research scientist till 2016. He established his research group in Ben-Gurion University of the Negev, Israel (https://lifewp.bgu.ac.il/wp/brotmany/).

Research in the group of Dr. Yariv Brotman focuses on the use of quantitative genetic approaches for the identification of genes that are involved in plant metabolism, and on further functional characterization of those genes by application of different molecular biology techniques and transgenic plant approaches. Special focus is given to genes that are taking part in lipid metabolism, but also genes that are taking parts in primary and secondary metabolism are investigated. The group is also integrating knowledge from classic lipid biochemistry with lipidomics in order to refine the knowledge on lipid biochemical pathways.

 

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