Difference between revisions of "IC4R012-Metabolomics-2012-22229385"

Revision as of 07:30, 22 July 2016

Dissection of genotype–phenotype associations in rice grains using metabolome quantitative trait loci analysis

As metabolic state is modulated by heritable factors,the genetic control of metabolic traits has been a major focus in the field of plant metabolic research. However, the relationship between genotype and metabolomic traits(m-traits) is not straightforward, because m-traits are under complex influences of quantitative trait loci (QTL) (Fernie and Schauer, 2009; Kliebenstein, 2009; Peleg et al., 2009).Furthermore, the metabolic composition of plant tissues is dynamically affected by environmental factors through post-translational interactions involving entire metabolic networks (Chan et al., 2010; Kerwin et al., 2011). Recent progress in metabolomics and QTL mapping techniques has made it possible to investigate the effect of genetic background on m-trait levels for a wide variety of metabolites.Metabolome QTL (mQTL) analyses have been performed for Arabidopsis and tomato (Solanum lycopersicum) using metabolomic techniques such as GC–MS and LC–MS, from which a better understanding of the genetics of plant metabolism has emerged (Keurentjes et al., 2006; Schauer et al., 2006, 2008; Lisec et al., 2008, 2009; Rowe et al., 2008).

RIKEN Plant Science Center, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Japan,
QTL Genomics Research Center, National Institute of Agrobiological Sciences, Kannondai 2-1-2, Tsukuba, Ibaraki, Japan, and
Graduate School of Pharmaceutical Sciences, Chiba University, Chiba, Japan

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 ==The Background of This Project==
+*As metabolic state is modulated by heritable factors,the genetic control of metabolic traits has been a major focus in the field of plant metabolic research. However, the relationship between genotype and metabolomic traits(m-traits) is not straightforward, because m-traits are under complex influences of quantitative trait loci (QTL) (Fernie and Schauer, 2009; Kliebenstein, 2009; Peleg et al., 2009).Furthermore, the metabolic composition of plant tissues is dynamically affected by environmental factors through post-translational interactions involving entire metabolic networks (Chan et al., 2010; Kerwin et al., 2011). Recent progress in metabolomics and QTL mapping techniques has made it possible to investigate the effect of genetic background on m-trait levels for a wide variety of metabolites.Metabolome QTL (mQTL) analyses have been performed for Arabidopsis and tomato (Solanum lycopersicum) using metabolomic techniques such as GC–MS and LC–MS, from which a better understanding of the genetics of plant metabolism has emerged (Keurentjes et al., 2006; Schauer et al., 2006, 2008; Lisec et al., 2008, 2009; Rowe et al., 2008).
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 ==Plant Culture & Treatment==