The University of Osaka · 생화학·유전·분자생물학
Fumio Matsuda 교수의 연구실은 대량 대사체 분석과 유전자 분석을 융합한 식물 대사체학을 핵심으로 하며, 식물의 발달 및 환경 적응에 기여하는 대사물질의 조절 메커니즘을 규명하는 데 초점을 맞추고 있습니다. 특히 라이스-질량분석기 기반의 대사체 정량 형질좌위(mQTL) 분석과 유전적 변이와 대사체 간의 연관성(GWAS)을 통해 농작물의 대사적 유전적 배경을 체계적으로 분석하고 있습니다. 또한, 다양한 분석 플랫폼을 융합한 다중 대사체 분석 기법을 개발하여 유전자 변형 식물의 부작용을 정량적으로 평가하는 응용 연구도 진행 중입니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
Summary The MS/MS spectral tag (MS2T) library‐based peak annotation procedure was developed for informative non‐targeted metabolic profiling analysis using LC‐MS. An MS2T library of Arabidopsis metabolites was created from a set of MS/MS spectra acquired using the automatic data acquisition function of the mass spectrometer. By using this library, we obtained structural information for the detected peaks in the metabolic profile data without performing additional MS/MS analysis; this was achieve
Summary A comprehensive and large‐scale metabolome quantitative trait loci (mQTL) analysis was performed to investigate the genetic backgrounds associated with metabolic phenotypes in rice grains. The metabolome dataset consisted of 759 metabolite signals obtained from the grains of 85 lines of rice ( Oryza sativa , Sasanishiki × Habataki back‐crossed inbred lines). Metabolome analysis was performed using four mass spectrometry pipelines to enhance detection of different classes of metabolites.
Plants possess many metabolic genes for the production of a wide variety of phytochemicals in a tissue-specific manner. However, the metabolic systems behind the diversity and tissue-dependent regulation still remain unknown due to incomplete characterization of phytochemicals produced in a single plant species. Thus, having a metabolome dataset in addition to the genome and transcriptome information resources would enrich our knowledge of plant secondary metabolism. Here we analyzed phytochemic
Plants produce structurally diverse secondary (specialized) metabolites to increase their fitness for survival under adverse environments. Several bioactive compounds for new drugs have been identified through screening of plant extracts. In this study, genome-wide association studies (GWAS) were conducted to investigate the genetic architecture behind the natural variation of rice secondary metabolites. GWAS using the metabolome data of 175 rice accessions successfully identified 323 associatio
Abstract Background Isobutanol is an important target for biorefinery research as a next-generation biofuel and a building block for commodity chemical production. Metabolically engineered microbial strains to produce isobutanol have been successfully developed by introducing the Ehrlich pathway into bacterial hosts. Isobutanol-producing baker’s yeast ( Saccharomyces cerevisiae ) strains have been developed following the strategy with respect to its advantageous characteristics for cost-effectiv
As metabolomics can provide a biochemical snapshot of an organism's phenotype it is a promising approach for charting the unintended effects of genetic modification. A critical obstacle for this application is the inherently limited metabolomic coverage of any single analytical platform. We propose using multiple analytical platforms for the direct acquisition of an interpretable data set of estimable chemical diversity. As an example, we report an application of our multi-platform approach that
A method for quantifying indole-3-acetic acid (IAA) and its conjugates with the six amino acids, Ala, -Asp, -Ile, -Glu, -Phe and -Val, in rice (Oryza sativa) by using high-performance liquid chromatography coupled with electrospray ionization and tandem mass spectrometry (HPLC-ESI-MS/MS) is described. Samples from the rice plant or callus were treated with 80% acetone in water containing 2.5 mM diethyl dithiocarbamate. Each extract was partially purified in C18 cartridge column for solid-phase e
The effects of beta-1,3-oligosaccharide elicitor on the metabolism of phenylpropanoids in potato tuber were analyzed quantitatively, by monitoring the time-dependent changes in the levels of seven compounds. The elicitor treatment caused an increase in the pool size of octopamine and tyramine amides (N-p-coumaroyloctopamine, N-feruloyloctopamine, N-p-coumaroyltyramine and N-feruloyltyramine), as well as a decrease in that of chlorogenic acid and putrescine amides (caffeoylputrescine and feruloyl
High accuracy mass analysis, such as Fourier transform (FT)-MS, is needed for reliable annotation (FDR <10%). In addition, a small, customized compound database is preferable for high-quality annotation of metabolome data.
The metabolic flux of two phenylpropanoid metabolites, N-p-coumaroyloctopamine (p-CO) and chlorogenic acid (CGA), in the wound-healing potato tuber tissue was quantitatively analyzed by a newly developed method based upon the tracer experiment using stable isotope-labeled compounds and LC-MS. Tuber disks were treated with aqueous solution of L-phenyl-d(5)-alanine, and the change in the ratio of stable isotope-labeled compound to non-labeled (isotope abundance) was monitored for p-CO and CGA in t
The metabolic simulation demonstrated that the poor productivity of S. cerevisiae was improved by the introduction of E. coli genes to compensate the structural difference. This suggested that gene supplementation is a promising strategy for the metabolic engineering of S. cerevisiae to produce higher alcohols which should be the next challenge for the synthetic bioengineering of S. cerevisiae for the efficient production of higher alcohols.
