A metabolite profiling approach to follow the sprouting process of mung beans (Vigna radiata)

A metabolite profiling methodology based on capillary gas chromatography/mass spectrometry (GC/MS) was employed to investigate time-dependent metabolic changes in the course of the sprouting of mung beans (Vigna radiata). Intact mung beans and sprout samples taken during the germination process were subjected to an extraction and fractionation procedure covering a broad spectrum of lipophilic (e.g. fatty acid methyl esters, hydrocarbons, fatty alcohols, sterols) and hydrophilic (e.g. sugars, acids, amino acids, amines) low molecular weight constituents. Investigation of the obtained fractions by GC resulted in the detection of more than 450 distinct peaks of which 146 were identified by means of MS. Statistical assessment of the metabolite profiling data via principal component analysis demonstrated that the metabolic changes during the sprouting of mung beans are reflected by time-dependent shifts of the scores which were comparable for two spouting processes independently conducted under the same conditions. Analysis of the loadings showed that polar metabolites were major contributors to the separation along the first principal component. The dynamic changes of single metabolites revealed significantly increased levels of monosaccharides, organic acids and amino acids and a decrease in fatty acid methyl esters in mung bean sprouts.     

Comparative metabolomic analysis of <Emphasis Type="Italic">Saccharomyces cerevisiae</Emphasis> during the degradation of patulin using gas chromatography–mass spectrometry

A comparative metabolomic analysis was conducted on Saccharomyces cerevisiae cells with and without patulin treatment using gas chromatography–mass spectrometry-based approach. A total of 72 metabolites were detected and compared, including 16 amino acids, 29 organic acids and alcohols, 19 sugars and sugar alcohols, 2 nucleotides, and 6 miscellaneous compounds. Principle component analysis showed a clear separation of metabolome between the cells with and without patulin treatment, and most of the identified metabolites contributed to the separation. A close examination of the identified metabolites showed an increased level of most of the free amino acids, an increased level of the intermediates in the tricarboxylic acid cycle, a higher amount of glycerol, a changed fatty acid composition, and a decreased level of cysteine and glutathione in the cells with patulin treatment. This finding indicated a slower protein synthesis rate and induced oxidative stress in the cells with patulin treatment, and provided new insights into the effect of toxic chemicals on the metabolism of organisms.     

Differential metabolic responses of perennial grass Cynodon transvaalensis×Cynodon dactylon (C₄) and Poa Pratensis (C₃) to heat stress

Differential metabolic responses to heat stress may be associated with variations in heat tolerance between cool‐season (C₃) and warm‐season (C₄) perennial grass species. The main objective of this study was to identify metabolites associated with differential heat tolerance between C₄ bermudagrass and C₃ Kentucky bluegrass by performing metabolite profile analysis using gas chromatography‐mass spectrometry. Plants of Kentucky bluegrass (Poa Pratensis‘Midnight’) and hybrid bermudagrass (Cynodon transvaalensis×Cynodon dactylon‘Tifdwarf’) were grown under optimum temperature conditions (20/15°C for Kentucky bluegrass and 30/25°C for bermudagrass) or heat stress (35/30°C for Kentucky bluegrass and 45/40°C for bermudagrass). Physiological responses to heat stress were evaluated by visual rating of grass quality, measuring photochemical efficiency (variable fluorescence to maximal fluorescence) and electrolyte leakage. All of these parameters indicated that bermudagrass exhibited better heat tolerance than Kentucky bluegrass. The metabolite analysis of leaf polar extracts revealed 36 heat‐responsive metabolites identified in both grass species, mainly consisting of organic acids, amino acids, sugars and sugar alcohols. Most metabolites showed higher accumulation in bermudagrass compared with Kentucky bluegrass, especially following long‐term (18 days) heat stress. The differentially accumulated metabolites included seven sugars (sucrose, fructose, galactose, floridoside, melibiose, maltose and xylose), a sugar alcohol (inositol), six organic acids (malic acid, citric acid, threonic acid, galacturonic acid, isocitric acid and methyl malonic acid) and nine amino acids (Asn, Ala, Val, Thr, γ‐Aminobutyric acid, IIe, Gly, Lys and Met). The differential accumulation of those metabolites could be associated with the differential heat tolerance between C₃ Kentucky bluegrass and C₄ bermudagrass.     

Metabolomic and functional genomic analyses reveal varietal differences in bioactive compounds of cooked rice

Emerging evidence supports that cooked rice (Oryza sativa L.) contains metabolites with biomedical activities, yet little is known about the genetic diversity that is responsible for metabolite variation and differences in health traits. Metabolites from ten diverse varieties of cooked rice were detected using ultra performance liquid chromatography coupled to mass spectrometry. A total of 3,097 compounds were detected, of which 25% differed among the ten varieties. Multivariate analyses of the metabolite profiles showed that the chemical diversity among the varieties cluster according to their defined subspecies classifications: indica, japonica, and aus. Metabolite-specific genetic diversity in rice was investigated by analyzing a collection of single nucleotide polymorphisms (SNPs) in genes from biochemical pathways of nutritional importance. Two classes of bioactive compounds, phenolics and vitamin E, contained nonsynonymous SNPs and SNPs in the 5' and 3' untranslated regions for genes in their biosynthesis pathways. Total phenolics and tocopherol concentrations were determined to examine the effect of the genetic diversity among the ten varieties. Per gram of cooked rice, total phenolics ranged from 113.7 to 392.6 μg (gallic acid equivalents), and total tocopherols ranged between 7.2 and 20.9 μg. The variation in the cooked rice metabolome and quantities of bioactive components supports that the SNP-based genetic diversity influenced nutritional components in rice, and that this approach may guide rice improvement strategies for plant and human health.     

Effects of Cadmium Exposure on Growth and Metabolic Profile of Bermudagrass [Cynodon dactylon (L.) Pers.]

Metabolic responses to cadmium (Cd) may be associated with variations in Cd tolerance in plants. The objectives of this study were to examine changes in metabolic profiles in bermudagrass in response to Cd stress and to identify predominant metabolites associated with differential Cd tolerance using gas chromatography-mass spectrometry. Two genotypes of bermudagrass with contrasting Cd tolerance were exposed to 0 and 1.5 mM CdSO₄ for 14 days in hydroponics. Physiological responses to Cd were evaluated by determining turf quality, growth rate, chlorophyll content and normalized relative transpiration. All these parameters exhibited higher tolerance in WB242 than in WB144. Cd treated WB144 transported more Cd to the shoot than in WB242. The metabolite analysis of leaf polar extracts revealed 39 Cd responsive metabolites in both genotypes, mainly consisting of amino acids, organic acids, sugars, fatty acids and others. A difference in the metabolic profiles was observed between the two bermudagrass genotypes exposed to Cd stress. Seven amino acids (norvaline, glycine, proline, serine, threonine, glutamic acid and gulonic acid), four organic acids (glyceric acid, oxoglutaric acid, citric acid and malic acid,) and three sugars (xylulose, galactose and talose) accumulated more in WB242 than WB144. However, compared to the control, WB144 accumulated higher quantities of sugars than WB242 in the Cd regime. The differential accumulation of these metabolites could be associated with the differential Cd tolerance in bermudagrass.     

The metabolic response of cultured tomato cells to low oxygen stress

The storage of fruits and vegetables under a controlled atmosphere can induce low oxygen stress, which can lead to post‐harvest losses through the induction of disorders such as core breakdown and browning. To gain better understanding of the metabolic response of plant organs to low oxygen, cultured tomato cells (Lycopersicum esculentum) were used as a model system to study the metabolic stress response to low oxygen (0 and 1 kPa O₂). By adding ¹³C labelled glucose, changes in the levels of polar metabolites and their ¹³C label accumulation were quantified. Low oxygen stress altered the metabolite profile of tomato cells, with the accumulation of the intermediates of glycolysis in addition to increases in lactate and sugar alcohols. ¹³C label data showed reduced label accumulation in almost all metabolites except lactate and some sugar alcohols. The results showed that low oxygen stress in tomato cell culture activated fermentative metabolism and sugar alcohol synthesis while inhibiting the activity of the TCA cycle and the biosynthesis of metabolites whose precursors are derived from central metabolism, including fluxes to most organic acids, amino acids and sugars.     

Metabolite profiling of mycorrhizal roots of Medicago truncatula

Metabolite profiling of soluble primary and secondary metabolites, as well as cell wall-bound phenolic compounds from roots of barrel medic (Medicago truncatula) was carried out by GC-MS, HPLC and LC-MS. These analyses revealed a number of metabolic characteristics over 56 days of symbiotic interaction with the arbuscular mycorrhizal (AM) fungus Glomus intraradices, when compared to the controls, i.e. nonmycorrhizal roots supplied with low and high amounts of phosphate. During the most active stages of overall root mycorrhization, elevated levels of certain amino acids (Glu, Asp, Asn) were observed accompanied by increases in amounts of some fatty acids (palmitic and oleic acids), indicating a mycorrhiza-specific activation of plastidial metabolism. In addition, some accumulating fungus-specific fatty acids (palmitvaccenic and vaccenic acids) were assigned that may be used as markers of fungal root colonization. Stimulation of the biosynthesis of some constitutive isoflavonoids (daidzein, ononin and malonylononin) occurred, however, only at late stages of root mycorrhization. Increase of the levels of saponins correlated AM-independently with plant growth. Only in AM roots was the accumulation of apocarotenoids (cyclohexenone and mycorradicin derivatives) observed. The structures of the unknown cyclohexenone derivatives were identified by spectroscopic methods as glucosides of blumenol C and 13-hydroxyblumenol C and their corresponding malonyl conjugates. During mycorrhization, the levels of typical cell wall-bound phenolics (e.g. 4-hydroxybenzaldehyde, vanillin, ferulic acid) did not change; however, high amounts of cell wall-bound tyrosol were exclusively detected in AM roots. Principal component analyses of nonpolar primary and secondary metabolites clearly separated AM roots from those of the controls, which was confirmed by an hierarchical cluster analysis. Circular networks of primary nonpolar metabolites showed stronger and more frequent correlations between metabolites in the mycorrhizal roots. The same trend, but to a lesser extent, was observed in nonmycorrhizal roots supplied with high amounts of phosphate. These results indicate a tighter control of primary metabolism in AM roots compared to control plants. Network correlation analyses revealed distinct clusters of amino acids and sugars/aliphatic acids with strong metabolic correlations among one another in all plants analyzed; however, mycorrhizal symbiosis reduced the cluster separation and enlarged the sugar cluster size. The amino acid clusters represent groups of metabolites with strong correlations among one another (cliques) that are differently composed in mycorrhizal and nonmycorrhizal roots. In conclusion, the present work shows for the first time that there are clear differences in development- and symbiosis-dependent primary and secondary metabolism of M. truncatula roots.     

冠突曲霉 veA基因缺失型与野生型的差异代谢物研究

为了鉴定冠突曲霉 veA基因缺失型与野生型的差异代谢物,寻找与 veA 基因产孢相关的代谢物,采用气相色谱-质谱联用（GC-MS）的代谢组学技术,分别收集2个菌株培养48h的菌丝体,经液氮研磨、超声萃取、三甲基氯硅烷衍生化后上机检测,将GC-MS检测的数据进行前处理和代谢物注释,并用统计学相关软件进行差异物筛选和相关性分析。结果显示,共鉴定99种代谢物,其中差异代谢物41种,野生型菌株中表达上调的显著差异代谢物有20种, veA缺失型菌株中表达上调的显著差异代谢物有21种,并预测差异代谢物的相关性,发现与623种代谢物产生相关性,其中313种呈正相关,310种呈负相关。筛选出来的差异代谢物涉及有机酸、氨基酸、碳水化合物、醇类、脂肪酸类等多种代谢物质,其中有机酸和氨基酸类代谢物占主导地位。本研究结果为进一步研究冠突曲霉代谢物与产孢的关联提供了一定的理论基础。     

Metabolic profiles of sunflower genotypes with contrasting response to Sclerotinia sclerotiorum infection

We report a comprehensive primary metabolite profiling of sunflower (Helianthus annuus) genotypes displaying contrasting behavior to Sclerotinia sclerotiorum infection. Applying a GC-MS-based metabolite profiling approach, we were able to identify differential patterns involving a total of 63 metabolites including major and minor sugars and sugar alcohols, organic acids, amino acids, fatty acids and few soluble secondary metabolites in the sunflower capitulum, the main target organ of pathogen attack. Metabolic changes and disease incidence of the two contrasting genotypes were determined throughout the main infection period (R5.2-R6). Both point-by-point and non-parametric statistical analyses showed metabolic differences between genotypes as well as interaction effects between genotype and time after inoculation. Network correlation analyses suggested that these metabolic changes were synchronized in a time-dependent manner in response to the pathogen. Concerted differential metabolic changes were detected to a higher extent in the susceptible, rather than the resistant genotype, thereby allowing differentiation of modules composed by intermediates of the same pathway which are highly interconnected in the susceptible line but not in the resistant one. Evaluation of these data also demonstrated a genotype specific regulation of distinct metabolic pathways, suggesting the importance of detection of metabolic patterns rather than specific metabolite changes when looking for metabolic markers differentially responding to pathogen infection. In summary, the GC-MS strategy developed in this study was suitable for detection of differences in carbon primary metabolism in sunflower capitulum, a tissue which is the main entry point for this and other pathogens which cause great detrimental impact on crop yield.     

Metabolite Profiling of Cheonggukjang,a Fermented Soybean Paste,Inoculated with Various Bacillus Strains during Fermentation

Metabolite profiling of Cheonggukjang inoculated with different Bacillus strains including Bacillus amyloliqueciens CH86-1, Bacillus licheniformis 58, and Bacillus licheniformis 67 during fermentation, was performed using gas chromatography-time of flight-mass spectrometry after derivatization, combined with multivariate statistical analysis. A total of 20 amino acids, 10 sugars, five sugar alcohols, and seven organic acids were identified in three Cheonggukjang samples. With fermentation time, most of the amino acids showed increasing amounts. On the other hand, most of the sugars including sucrose, fructose, and glucose decreasing patterns, and the amounts of organic acids varied. In order to observe differences in metabolites with fermentation time and inoculated Bacillus strains, principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were carried out, respectively. On PCA plots, some sugars and organic acids including sucrose, fructose, glucose, mannose, succinic acid, and malonic acid, as well as most of the amino acids, contributed mainly to differentiation of the Cheonggukjang samples fermentation time. On the other hand, on PLS-DA, mannose, xylose, glutamic acid, and proline were mainly responsible for differentiating the Cheonggukjang among into various inoculated strains.     

基于UPLC-MS/MS技术的代谢组学方法研究麸皮对杨树桑黄代谢的影响

桑黄孔菌属.Sanghuangporus是一类具有重要药用价值的大型真菌,目前被国际公认为抗肿瘤效果最好的药用真菌之一.本研究以添加麸皮栽培的杨树桑黄Sanghuangporus vaninii子实体为研究对象,基于液质联用技术的广泛靶向代谢组学研究,从杨树桑黄子实体中检测出355种代谢产物,差异代谢物86种,上调51...     

Metabolomics reveals stage-specific metabolic pathways of microbial communities in two-stage anaerobic fermentation of corn-stalk

Analysis of intracellular metabolites is essential to delineate metabolic pathways of microbial communities for evaluation and optimization of anaerobic fermentation processes. The metabolomics are reported for a microbial community during two stages of anaerobic fermentation of corn stalk in a biogas digester using GC–MS. Acetonitrile/methanol/water (2:2:1, by vol) was the best extraction solvent for microbial community analysis because it yielded the largest number of peaks (>200), the highest mean summed value of identified metabolites (23) and the best reproducibility with a coefficient of variation of 30 % among four different extraction methods. Inter-stage comparison of metabolite profiles showed increased levels of sugars and sugar alcohols during methanogenesis and fatty acids during acidogenesis. Identification of stage-specific metabolic pathways using metabolomics can therefore assist in monitoring and optimization of the microbial community for increased biogas production during anaerobic fermentation.     

Partitioning of 14C-Photosynthate of Leaves in Roots,Rhizome, and in Essential Oil and Curcumin in Turmeric (Curcuma longa L.)

Incorporation of photosynthetically fixed ¹⁴C was studied at different time intervals of 12, 24, and 36 h in various plant parts—leaf 1 to 4 from apex, roots, and rhizome—into primary metabolites—sugars, amino acids, and organic acids, and secondary metabolites—essential oil and curcumin—in turmeric. The youngest leaves were most active in fixing ¹⁴C at 24 h. Fixation capacity into primary metabolites decreased with leaf position and time. The primary metabolite levels in leaves were maximal in sugars and organic acids and lowest in amino acids. Roots as well as rhizome received maximum photoassimilate from leaves at 24 h; this declined with time. The maximum metabolite concentrations in the roots and rhizome were high in sugars and organic acids and least in amino acids. ¹⁴C incorporation into oil in leaf and into curcumin in rhizome was maximal at 24 h and declined with time. These studies highlight importance of time-dependent translocation of ¹⁴C-primary metabolites from leaves to roots and rhizome and their subsequent biosynthesis into secondary metabolite, curcumin, in rhizome. This might be one of factors regulating the secondary metabolite accumulation and rhizome development.     

Analysis of metabolic responses of <Emphasis Type="Italic">Dunaliella salina</Emphasis> to phosphorus deprivation

It has been reported that phosphorus deprivation can induce β-carotene and triacylglycerol accumulation in Dunaliella salina cells. In this study, we aimed to elucidate the metabolic responses of D. salina to phosphorus deprivation, using gas chromatography-mass spectrometry as analytical tool. A total of 79 metabolites were identified in cells cultured in either phosphorus-deprived or replete media, including 18 amino acids, 28 other acids, 16 sugars, 12 alcohols, and 5 amino compounds. Hierarchical clustering was used to sort these metabolites into three groups with different change trends. Most amino acids and sugars, including the abiotic stress-related metabolites lysine, proline, trehalose, talose, and tagatose, increased, whereas N,N-dimethylglycine, L-serine, D-erythro-pentose, and D-ribose remained constant upon phosphorus deprivation. Multivariate statistical partial least squares and principal component analyses indicated that metabolite profiles were significantly changed upon phosphorus deprivation, and 18 biomarkers which can be used to distinguish the two culture conditions were identified. Stress-related polyamines such as cadaverine, antioxidants such as L-ascorbic acid, and L-methionine, as well as the osmolytes proline, mannitol, and arabitol, also increased. Furthermore, phosphorus deprivation resulted in increases of both saturated and unsaturated fatty acids in D. salina cells. These results suggest that phosphorus deprivation triggers comprehensive metabolic responses in D. salina which may be useful for future bioprocesses.     

Unraveling Physiological and Metabolomic Responses Involved in Phlox subulata L. Tolerance to Drought Stress

Metabolic responses are important for plant adaptation to abiotic stress. To investigate the responses of Phlox subulata L. to drought stress, we analyzed its physiological and metabolic changes using gas chromatography-mass spectrometer. Based on the physiological indices, P. subulata L. has tolerance to drought to some degree. Our results showed that there were a total of 30 key metabolites induced by drought stress, including amino acids, organic acids, sugars and sugar alcohols, nucleic acid and its derivatives, and other organic compounds. The glutamic acid-mediated proline biosynthesis pathway is continuously upregulated under drought stress, which could regulate osmotic pressure and maintain intracellular environmental stability. More secondary metabolites are used to increase glycolysis and tricarboxylic acid cycle, to accelerate energy production and to enhance the glutamic acid-mediated proline biosynthesis pathway, which are necessary to increase osmotic regulation. Prolonged drought stress induced progressive accumulation of compatible osmolytes, such as proline and inositol, sugars, and amino acids. Therefore, drought caused systemic alterations in metabolic networks involving transamination, TCA cycle, gluconeogenesis/glycolysis, glutamate-mediated proline biosynthesis, shikimate-mediated secondary metabolisms, and the metabolism of pyrimidine. These data suggest that plants may utilize these physiological and metabolomic adjustments as adaptive responses in the early stages of drought stress. These results deepen our understanding of the mechanisms involved in P. subulata L. drought tolerance, which will help improve the understanding of drought’s effects on plant systems.

     

Comparative Metabolite Profiling of Two Rice Genotypes with Contrasting Salt Stress Tolerance at the Seedling Stage

Background

Rice is sensitive to salt stress, especially at the seedling stage, with rice varieties differing remarkably in salt tolerance (ST). To understand the physiological mechanisms of ST, we investigated salt stress responses at the metabolite level.

Methods

Gas chromatography-mass spectrometry was used to profile metabolite changes in the salt-tolerant line FL478 and the sensitive variety IR64 under a salt-stress time series. Additionally, several physiological traits related to ST were investigated.

Results

We characterized 92 primary metabolites in the leaves and roots of the two genotypes under stress and control conditions. The metabolites were temporally, tissue-specifically and genotype-dependently regulated under salt stress. Sugars and amino acids (AAs) increased significantly in the leaves and roots of both genotypes, while organic acids (OAs) increased in roots and decreased in leaves. Compared with IR64, FL478 experienced greater increases in sugars and AAs and more pronounced decreases in OAs in both tissues; additionally, the maximum change in sugars and AAs occurred later, while OAs changed earlier. Moreover, less Na⁺ and higher relative water content were observed in FL478. Eleven metabolites, including AAs and sugars, were specifically increased in FL478 over the course of the treatment.

Conclusions

Metabolic responses of rice to salt stress are dynamic and involve many metabolites. The greater ST of FL478 is due to different adaptive reactions at different stress times. At early salt-stress stages, FL478 adapts to stress by decreasing OA levels or by quickly depressing growth; during later stages, more metabolites are accumulated, thereby serving as compatible solutes against osmotic challenge induced by salt stress.     

72份青稞氨基酸组成与营养价值评价

为了解青稞氨基酸的组成及营养品质,本研究测定了72份青稞材料籽粒的17种氨基酸(色氨酸除外)含量,通过对供试青稞材料氨基酸含量进行聚类分析,并比较育成品种与地方品种的氨基酸组成差异,对青稞的氨基酸进行了营养价值评价。结果表明,青稞氨基酸总含量平均为87.454 mg/g DW,变幅为47.8~178.7 mg/g DW,其中必需氨基酸含量占37.15%,谷氨酸的含量最高且变异大,蛋氨酸含量最低,赖氨酸含量变异小,91.67%的青稞材料的第一限制性氨基酸为赖氨酸。青稞氨基酸的贴近度为0.903,与世界粮农组织(FAO)、世界卫生组织(WHO)、联合国大学(UNU)提出的模式蛋白质的必需氨基酸组成较接近,氨基酸比值系数分SRC(73.14)较高。非必需氨基酸占青稞总氨基酸含量的62.85%,其中鲜味和甜味氨基酸含量分别为26.58 mg/g DW和21.85 mg/g DW,分别占总氨基酸含量的30.04%和24.43%。不同青稞材料的氨基酸含量和营养价值有很大的差异,地方品种各氨基酸含量均高于育成品种。供试材料中有4份青稞的氨基酸营养价值及风味氨基酸含量均较高。研究结果可为优质氨基酸组成的青稞选育及青稞加工提供指导。     

Quantitative determination of phenyl isothiocyanate-derivatized amino sugars and amino sugar alcohols by high-performance liquid chromatography

Simple and rapid methods for the preparation of phenylthiocarbamyl (PTC) derivatives of amino sugars and amino sugar alcohols and their quantitative determination with high sensitivity (less than 10 pmol) by C18 reversed-phase high-performance liquid chromatography are described. Rapid sample preparation of the phenyl isothiocyanate (PITC)-derivatized amino sugars and amino sugar alcohols was achieved by a simple extraction of the reaction mixture with chloroform to remove the excess PITC and its adducts. Baseline separation of the PTC derivatives of amino sugars and amino sugar alcohols was obtained within 30 min, using a simple solvent system consisting of 0.2% each of n-butylamine, phosphoric acid, and tetrahydrofuran. The mobile phase containing n-butylamine, in conjunction with a C18 stationary phase, mimics the conditions for the separation of carbohydrates on an amino-bonded column. GlcNH2 and GalNH2 derived from the initial protein-sugar linkages were also separated from the amino acids for quantitative estimation of sugar chains in glycoproteins. Amino sugar alcohols gave single reaction products with PITC while the reaction with amino sugars was accompanied by the formation of secondary products. Apparently the secondary products were formed in an acid-catalyzed intramolecular cyclization of the PTC-hexosamines involving the aldehyde functional group. Conditions were developed to stop the transformations and maintain the stability of PTC derivatives for their convenient determination by HPLC.