Digitizing the metabolome

The biological mechanisms that direct the generation and accumulationof the vast diversity of metabolites observed in the plant kingdomare not fully understood. An exciting and promising approachto understand these mechanisms is described in the paper byXie et al. (2009). The authors have coupled state of the artmetabolomic analyses with novel bioinformatic techniques toidentify apparent ‘metabolic modules’ in turmeric(Curcuma longa) rhizomes. A metabolic module is defined as agroup of co-regulated metabolites and this approach elegantlyrepresents a basic innovative and practical attempt to understandand predict metabolic pathways using detailed bioinformaticsdata mining following careful and well-documented GC-MS andLC-MS     

Characterization of the in vivo and in vitro metabolic profile of PAC-1 using liquid chromatography-mass spectrometry

In the present study, the metabolic profile of PAC-1, a potential anticancer drug, was investigated using liquid chromatography-mass spectrometric (LC/MS) techniques. Two different types of mass spectrometers--a quadrupole time-of-flight (Q-TOF) mass spectrometer and an ion trap (IT) mass spectrometer--were employed to acquire structural information on PAC-1 metabolites. A gradient liquid chromatographic system composed of 0.2% formic acid in methanol and 0.2% formic acid in water was used for metabolite separation on an Agilent TC-C(18) column. A total of 16 metabolites were detected. The corresponding product ion spectra were acquired and interpreted, and structures were proposed. Accurate mass measurement using LC-Q-TOF was used to determine the elemental composition of metabolites thereby confirming the proposed structures of these metabolites. Phase I metabolic changes were predominantly observed, including debenzylation, dihydrodiol formation, hydroxylation, and dihydroxylation. The detected phase II metabolites included PAC-1 and hydroxylated PAC-1 glucuronide conjugates. Based on metabolite analysis, several PAC-1 metabolic pathways in rat were proposed.     

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.     

Integrated metabolite and gene expression profiling revealing phytochrome A regulation of polyamine biosynthesis of Arabidopsis thaliana

In this study, metabolite profiling was demonstrated as a usefultool to plot a specific metabolic pathway, which is regulatedby phytochrome A (phyA). Etiolated Arabidopsis wild-type (WT)and phyA mutant seedlings were irradiated with either far-redlight (FR) or white light (W). Primary metabolites of the irradiatedseedlings were profiled by gas chromatography time-of-flightmass spectrometry (GC/TOF-MS) to obtain new insights on phyA-regulatedmetabolic pathways. Comparison of metabolite profiles in phyAand WT seedlings grown under FR revealed a number of metabolitesthat contribute to the differences between phyA and the WT.Several metabolites, including some amino acids, organic acids,and major sugars, as well as putrescine, were found in smalleramounts in WT compared with the content in phyA seedlings grownunder FR. There were also significant differences between metaboliteprofiles of WT and phyA seedlings during de-etiolation underW. The polyamine biosynthetic pathway was investigated further,because putrescine, one of the polyamines existing in a widevariety of living organisms, was found to be present in loweramounts in WT than in phyA under both light conditions. Theexpression levels of polyamine biosynthesis-related genes wereinvestigated by quantitative real-time RT-PCR. The gene expressionprofiles revealed that the arginine decarboxylase 2 (ADC2) genewas transcribed less in the WT than in phyA seedlings underboth light conditions. This finding suggests that ADC2 is negativelyregulated by phyA during photomorphogenesis. In addition, S-adenosylmethioninedecarboxylase 2 and 4 (SAMDC2 and SAMDC4) were found to be regulatedby phyA but in a different manner from the regulation of ADC2. Key words: Arabidopsis thaliana, gene expression profiling, metabolite profiling, phytochrome A, polyamine biosynthesis Received 19 October 2007; Revised 17 January 2008 Accepted 18 January 2008     

基于核磁共振波谱的盐芥盐胁迫代谢组学分析

以甲醇/水(1∶1)作为溶剂,利用高分辨核磁共振氢谱分析了盐生模式植物盐芥(Thellungiella salsuginea)代谢组对盐胁迫的响应。根据1H核磁共振(NMR)波谱,在盐芥莲座叶中准确鉴定出23种代谢产物,包括11种氨基酸、4种糖类、6种有机酸和2种其他代谢产物。主成分分析表明,150、300 mmol/L NaCl处理盐芥的代谢组与对照均有显著差异(P<0.05),两种浓度的NaCl处理对盐芥代谢组的影响也不相同。盐胁迫处理以后,盐芥23种代谢产物含量均发生显著变化,除天冬氨酸、延胡索酸受盐胁迫诱导含量下降以外,其余代谢物含量均不同程度升高。这些代谢物主要参与了糖类代谢途径、氨基酸合成途径、三羧酸循环和甜菜碱合成途径,这些代谢途径在盐芥响应盐胁迫过程中有重要作用。     

Specific deuterium labelling and computerized gas chromatography -- mass spectrometry in studies on the metabolism in vivo of a steroid sulphate in the rat.

The metabolism of 3beta-hydroxy-5alpha-pregnan-20-one sulphate was studied in bile fistula rats and in isolated perfused livers. Computerized gas chromatography--mass spectrometry, in combination with specific deuterium-labelling, was employed to follow the metabolic transformations. Male animals excreted metabolites into bile more rapidly than females, a finding which could be correlated with the preferential formation of glucuronide conjugates in the male liver. The major metabolic pathway in male rats involved the steps: hydrolysis, 2alpha-hydroxylation, oxidoreduction at C-3 and glucuronide conjugation, yielding 2alpha, 3alpha-dihydroxy-5alpha-pregnan-20-one glucuronide as the major metabolite. Only traces of the injected steroid sulphate were detected in bile from male animals. In contrast, the administered compound was the major steroid excreted in bile of female rats, where the main metabolite was identified as 3beta,15beta-dihydroxy-5alpha-pregnan-20-one sulphate. A minor metabolite, 3beta,16alpha-dihydroxy-5alpha-pregnan-20-one, was found as a monosulphate in female rats and as both a disulphate and a glucuronide conjugate in male rats. The deuterium content of the sulphated 15beta-and 16alpha-hydroxylated metabolites was consistent with metabolic pathways involving direct hydroxylation of the injected steroid sulphate. The results obtained from the liver perfusions were essentially the same as those from the experiments with bile fistula animals. This indicates that all the observed metabolic reactions took place in the liver.     

Evidence of a new metabolic pathway of 5-fluorouracil in Escherichia coli from in vivo 19F-NMR spectroscopy

Two distinct metabolic pathways of 5-fluorouracil are proposed in Escherichia coli. The first metabolic pathway is a reductive degradation with the formation of dihydrofluorouracil as the first metabolite. The second metabolic pathway is shown to be a hydroxylating degradation, possibly with the formation of 5-hydro-6-hydroxy-5-fluorouracil as the first metabolite. The metabolites of both pathways undergo subsequent hydrolytic degradation with fluoride ion as the common final product. The chemical structures of these metabolites were partially identified by 19F-NMR. The results show a close resemblance between these two metabolic pathways with in vivo pyrimidine biodegradation. The reductive degradation has been proposed by several laboratories, whereas the hydroxy degradation has not been reported before. Both the reductive and hydroxy pathways are demonstrated in this report, to be independent reactions.     

Thermodynamically based profiling of drug metabolism and drug-drug metabolic interactions: a case study of acetaminophen and ethanol toxic interaction

Drug-drug metabolic interactions can result in unwanted side effects, including reduced drug efficacy and formation of toxic metabolic intermediates. In this work, thermodynamic constraints on non-equilibrium metabolite concentrations are used to reveal the biochemical interactions between the metabolic pathways of ethanol and acetaminophen (N-acetyl-p-aminophenol), two drugs known to interact unfavorably. It is known that many reactions of these pathways are coupled to the central energy metabolic reactions through a number of metabolites and the cellular redox potential. Based on these observations, a metabolic network model has been constructed and a database of thermodynamic properties for all participating metabolites and reactions has been compiled. Constraint-based computational analysis of the feasible metabolite concentrations reveals that the non-toxic pathways for APAP metabolism and the pathway for detoxifying N-acetyl-p-benzoquinoneimine (NAPQI) are inhibited by network interactions with ethanol metabolism. These results point to the potential utility of thermodynamically based profiling of metabolic network interactions in screening of drug candidates and analysis of potential toxicity.     

A modular modulation method for achieving increases in metabolite production

Increasing the production of overproducing strains represents a great challenge. Here, we develop a modular modulation method to determine the key steps for genetic manipulation to increase metabolite production. The method consists of three steps: (i) modularization of the metabolic network into two modules connected by linking metabolites, (ii) change in the activity of the modules using auxiliary rates producing or consuming the linking metabolites in appropriate proportions and (iii) determination of the key modules and steps to increase production. The mathematical formulation of the method in matrix form shows that it may be applied to metabolic networks of any structure and size, with reactions showing any kind of rate laws. The results are valid for any type of conservation relationships in the metabolite concentrations or interactions between modules. The activity of the module may, in principle, be changed by any large factor. The method may be applied recursively or combined with other methods devised to perform fine searches in smaller regions. In practice, it is implemented by integrating to the producer strain heterologous reactions or synthetic pathways producing or consuming the linking metabolites. The new procedure may contribute to develop metabolic engineering into a more systematic practice. © 2015 American Institute of Chemical Engineers Biotechnol. Prog., 31:656–667, 2015     

Application of metabolite profiling to the identification of traits in a population of tomato introgression lines

Naturally occurring variation in wild species can be used to increase the genetic diversity of cultivated crops and improve agronomic value. Populations of introgression lines carrying wild species alleles afford an opportunity to identify traits associated with the introgressed regions, and facilitate characterization of the biochemistry and genetics underlying these phenotypes. Understanding plant metabolic pathways and the interactions between genes, phenotype, and environment is fundamental to functional genomics. Successful analysis of the complex network of plant metabolism requires analytical methods able to record information on as many metabolites as possible. Metabolite profiling is used to provide a snapshot of the metabolome in samples which differ in a known factor such as genetic background. Differences between the metabolite profiles can identify those metabolites/metabolic pathways affected by the introgression and allow genetic maps for metabolic alterations to be established. A Time-of-Flight Mass Spectrometry method is presented, with associated data reduction, used for profiling aqueous metabolites fom tomato. Analysis of ripe fruits of two tomato species, Lycopersicon esculentum and L. pennellii, showed differences in the amounts of many metabolites, including organic acids and sugars. Six introgression lines, L. pennellii introgressions within L. esculentum, were also examined and showed that Principal Component Analysis can reveal subtle differences in metabolism of the introgressed lines when compared to their parents.     

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.     

Effect of gaseous composition on cell growth and secondary metabolite production in suspension culture of Stizolobium hassjoo cells

The gaseous composition is an important factor affecting the performance of plant cell cultures. Gaseous metabolites, especially O₂, CO₂ and C₂H₄, play important roles in cell physiology. Forced aeration in bioreactors usually results in poor cell growth and secondary metabolite production. In this work, the effects of gaseous metabolites on cell growth, secondary metabolite formation as well as PPO activity were investigated with respect to Stizolobium hassjoo cell culture producing l-DOPA (3,4-dihydroxyphenylalanine). A device allowing the control of the partial pressures of gaseous metabolites in shake flasks was designed. In addition, a recirculating gas system with a P_O2 controller was designed for a bioreactor. This device could maintain constant P_O2 and P_CO2 in the bioreactor headspace. The results showed that the highest l-DOPA content was attained at P_O2=0.30 atm. Higher P_O2 values retarded cell growth and increased the pH of the culture broth. High P_O2 also enhanced the formation of ethylene and inhibited l-DOPA formation. Carbon dioxide concentrations lower than 5% enhanced cell growth and l-DOPA formation. Cell growth was retarded by 0.3 ppm of ethylene in 2~5 carbon dioxide. Oxygen concentration and D.O. in the broth could be controlled at constant levels in the recirculating culture system. Enrichment of P_O2 up to 0.3 atm during the later stage of cultivation facilitated l-DOPA formation. The interaction among the gaseous metabolites and their influences on cell metabolism and l-DOPA formation were elucidated. This information will facilitate the rational operation of plant cell culture systems producing secondary metabolites.     

Improvement of hairy root cultures and plants by changing biosynthetic pathways leading to pharmaceutical metabolites: Strategies and applications

A plethora of bioactive plant metabolites has been explored for pharmaceutical, food chemistry and agricultural applications. The chemical synthesis of these structures is often difficult, so plants are favorably used as producers. While whole plants can serve as a source for secondary metabolites and can be also improved by metabolic engineering, more often cell or organ cultures of relevant plant species are of interest. It should be noted that only in few cases the production for commercial application in such cultures has been achieved. Their genetic manipulation is sometimes faster and the production of a specific metabolite is more reliable, because of less environmental influences. In addition, upscaling in bioreactors is nowadays possible for many of these cultures, so some are already used in industry. There are approaches to alter the profile of metabolites not only by using plant genes, but also by using bacterial genes encoding modifying enzymes. Also, strategies to cope with unwanted or even toxic compounds are available. The need for metabolic engineering of plant secondary metabolite pathways is increasing with the rising demand for (novel) compounds with new bioactive properties. Here, we give some examples of recent developments for the metabolic engineering of plants and organ cultures, which can be used in the production of metabolites with interesting properties.     

Mining for treatment-specific and general changes in target compounds and metabolic fingerprints in response to herbivory and phytohormones in Plantago lanceolata

Induction studies focusing on target metabolites may not reveal metabolic changes occurring in plants after various challenges. By contrast, metabolic fingerprinting can be a powerful tool to find patterns that are either treatment-specific or general and was therefore used to depict plant responses after various challenges. Plants of Plantago lanceolata were challenged by mechanical damage, specialist herbivores (aphids or sawfly larvae), generalist herbivores (Lepidopteran caterpillars) or phytohormones (jasmonic or salicylic acid). After 3 d of treatment, local and systemic leaves were analyzed for characteristic target metabolites (iridoid glucosides and verbascoside) by gas chromatography coupled with mass spectrometry (GC-MS) and for metabolic fingerprints by liquid chromatography coupled with time of flight mass spectrometry (LC-TOF-MS). Whereas only marginal changes in target metabolite concentrations were found, metabolic fingerprints were substantially affected especially by generalist and phytohormone treatments. By contrast, mechanical damage and specialist herbivory caused fewer changes. Responses to generalists partly overlapped with the changes caused by jasmonic acid, but many additional peaks were up-regulated. Furthermore, many peaks were co-induced by jasmonic and salicylic acid. The surprisingly high co-induction of peaks by both phytohormones suggests that the signaling pathways regulate a set of common targets. Furthermore, only metabolic fingerprinting could reveal that herbivores induce additional species-specific pathways beyond these phytohormone responses.     

Microbial pathways leading to steroidal malodour in the axilla

Odorous steroids, specifically the 16-androstenes, 5alpha-androstenol and 5alpha-androstenone, are widely accepted as being contributors to underarm odour, but the precursors and pathways to these odorous steroids were unclear. This study demonstrated that the axillary microflora could only generate odorous 16-androstenes from precursors that already contain the C16 double bond, such as 5,16-androstadien-3-ol and 4,16-androstadien-3-one. In incubations containing 5,16-androstadien-3-ol, mixed populations of Corynebacterium spp., isolated from the axilla, could generate many different 16-androstene metabolites, several of which were odorous. Isolation of individual Corynebacterium strains, followed by pure culture incubations with 5,16-androstadien-3-ol, revealed organisms capable of efficient, rapid reactions. However, no single isolate could carry out a full complement of the observed biotransformations. 16-Androstene metabolites were identified by gas chromatography-mass spectrometry (GC-MS), either by comparison with known standards, or by prediction from molecular ion and fragmentation patterns. Based on detection of these metabolites, a metabolic map for axillary corynebacterial 16-androstene biotransformations was proposed, detailing potential enzyme activities. In summary, the formerly implicated 4,16-androstadien-3-one, 5alpha-androstenone and 5alpha-androstenol were detected, along with previously unreported hydroxy- and keto-substituted 16-androstenes, 16-androstatrienones and 16-androstatrienols. Additionally, many other metabolites with steroidal fragmentation patterns were present, but have remained unidentified.A key observation was that very low prevalences of microorganisms capable of biotransforming 16-androstenes were present on skin. For example, from a panel of 21 individuals, only 4 of 18 mixed populations of corynebacteria, and only 4 of 45 Corynebacterium isolates, could biotransform 5,16-androstadien-3-ol.This study has increased understanding of the metabolic pathways involved in steroidal malodour formation, and has demonstrated that the biotransformations are more complex than previously anticipated. However, it is clear that further research is required, both to assess the level of contribution of 16-androstenes to underarm odour, and to further elucidate the pathways and odour molecules formed by corynebacteria.