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Metabolomic Profiles of Aspergillus oryzae and Bacillus amyloliquefaciens During Rice Koji Fermentation

机译:米曲发酵过程中米曲霉和解淀粉芽孢杆菌的代谢组学谱

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摘要

Rice koji, used early in the manufacturing process for many fermented foods, produces diverse metabolites and enzymes during fermentation. Using gas chromatography time-of-flight mass spectrometry (GC-TOF-MS), ultrahigh-performance liquid chromatography linear trap quadrupole ion trap tandem mass spectrometry (UHPLC-LTQ-IT-MS/MS), and multivariate analysis we generated the metabolite profiles of rice koji produced by fermentation with Aspergillus oryzae (RK_AO) or Bacillus amyloliquefaciens (RK_BA) for different durations. Two principal components of the metabolomic data distinguished the rice koji samples according to their fermenter species and fermentation time. Several enzymes secreted by the fermenter species, including α-amylase, protease, and β-glucosidase, were assayed to identify differences in expression levels. This approach revealed that carbohydrate metabolism, serine-derived amino acids, and fatty acids were associated with rice koji fermentation by A. oryzae, whereas aromatic and branched chain amino acids, flavonoids, and lysophospholipids were more typical in rice koji fermentation by B. amyloliquefaciens. Antioxidant activity was significantly higher for RK_BA than for RK_AO, as were the abundances of flavonoids, including tricin, tricin glycosides, apigenin glycosides, and chrysoeriol glycosides. In summary, we have used MS-based metabolomics and enzyme activity assays to evaluate the effects of using different microbial species and fermentation times on the nutritional profile of rice koji.
机译:大米曲在制造过程的早期就用于许多发酵食品,在发酵过程中会产生多种代谢产物和酶。使用气相色谱飞行时间质谱(GC-TOF-MS),超高效液相色谱线性阱四极杆离子阱串联质谱(UHPLC-LTQ-IT-MS / MS)和多变量分析,我们生成了代谢物米曲霉(RK_AO)或解淀粉芽孢杆菌(RK_BA)发酵不同时间产生的米曲的概况。代谢组学数据的两个主要成分根据其发酵罐的种类和发酵时间来区分稻曲。分析了发酵菌种分泌的几种酶,包括α-淀粉酶,蛋白酶和β-葡萄糖苷酶,以鉴定表达水平的差异。这种方法表明,碳水化合物代谢,丝氨酸衍生的氨基酸和脂肪酸与米曲霉发酵水稻曲相关,而芳香和支链氨基酸,类黄酮和溶血磷脂在淀粉曲霉发酵水稻曲中更典型。 。 RK_BA的抗氧化活性显着高于RK_AO,包括丰富的黄酮类化合物(包括三嗪,三嗪糖苷,芹菜素糖苷和金葱酚糖苷)也是如此。总之,我们已经使用基于MS的代谢组学和酶活性测定法来评估使用不同微生物种类和发酵时间对稻曲营养成分的影响。

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