Systems analysis in Cellvibrio japonicus resolves predicted redundancy of β‐glucosidases and determines essential physiological functions

Degradation of polysaccharides forms an essential arc in the carbon cycle, provides a percentage of our daily caloric intake, and is a major driver in the renewable chemical industry. Microorganisms proficient at degrading insoluble polysaccharides possess large numbers of carbohydrate active enzymes (CAZymes), many of which have been categorized as functionally redundant. Here we present data that suggests that CAZymes that have overlapping enzymatic activities can have unique, non‐overlapping biological functions in the cell. Our comprehensive study to understand cellodextrin utilization in the soil saprophyte Cellvibrio japonicus found that only one of four predicted β‐glucosidases is required in a physiological context. Gene deletion analysis indicated that only the cel3B gene product is essential for efficient cellodextrin utilization in C. japonicus and is constitutively expressed at high levels. Interestingly, expression of individual β‐glucosidases in Escherichia coli K‐12 enabled this non‐cellulolytic bacterium to be fully capable of using cellobiose as a sole carbon source. Furthermore, enzyme kinetic studies indicated that the Cel3A enzyme is significantly more active than the Cel3B enzyme on the oligosaccharides but not disaccharides. Our approach for parsing related CAZymes to determine actual physiological roles in the cell can be applied to other polysaccharide‐degradation systems.     

海洋细菌CAZymes的研究进展

多糖是大型藻类、浮游植物和微生物的主要成分,多糖降解产物是海洋有机物的主要来源.碳水化合物活性酶(carbohydrate-active enzymes,CAZymes)是负责糖类化合物降解、修饰及生成糖苷键的功能酶系,是糖类物质代谢通路中的基本功能单元.多数异养细菌都具备一套完善的碳水化合物活性酶编码系统,它们是参与...     

Time hierarchy, equilibrium and non-equilibrium in metabolic systems.

A metabolic system consists of cooperating biochemical reactions. The motion is described by differential equations in the metabolites. The right-hand sides of these equations are linear combinations of the velocities of the individual reactions. These velocities depend in a non-linear manner on the metabolite concentrations (according to the law of mass action). A characteristic "metabolic" time may be defined for the motion of the whole system. It scales the essential metabolic events whose evolution time is comparable to this metabolite time unit. The constituent reactions of the metabolic system have an individual characteristic time which need not coincide with the general metabolic time. The individual time characterises the approach to the individual equilibrium of the isolated undisturbed reaction. According to the ratio of these two time scales, a single reaction may be fast, or slow, or essential, as compared with the metabolic events. Characteristic time of a single reaction and its steady-state deviation from equilibrium are closely related. It can be shown that the relative deviation from equilibrium of a reaction within the metabolic network is of the same numerical order as the ratio between individual time to metabolic time. The interaction of many reactions with different characteristic times introduces a time hierarchy into the system. This can be made transparent by appropriate scaling and by linear transformation of the system. The subsystem of fast cooperating reactions (dehydrogenases, phosphotransferases) attains a state which is near to the individual equilibrium and reestablishes this state after perturbation. The equilibration is fast; an ultrarapid phase of cofactor equilibrium can be distinguished from the fast phase of substrate equilibrium (exchange of metabolic material between different pathways). During the slower metabolic phase these near-equilibria manifest themselves as stoichiometric linkage between unrelated metabolites. The latter cease to be independent variables and combine to metabolic pools. It can be strictly shown that the essential variables at the metabolic time scale are carrier pools and the degree of occupancy of these carriers by metabolic groups. Chemically different types of carrier pools may be functionally linked together by fast reactions. A consequence of such an arrangement of reactions are distance effects: Changes at one end of a metabolic map may be directly conveyed to other pathways via stoichiometric linkage brought about by fast equilibration of cofactor reactions.     

Sensitivity to values of the rate constants in a neurochemical metabolic model

Equations were derived for the instantaneous relative sensitivities of reaction rates (controllability indices) and metabolite concentrations (response indices) to perturbations in the values of rate constants and were used to analyze the behavior of a model of in vivo glutamate metabolism in rat brain. Controllabilities of reversible reactions were found to increase as the values of the corresponding rate constants (i.e., the rate of approach to equilibrium) increased. Response indices generally declined with the metabolic distance between the metabolite and the rate constant, but they were unexpectedly high for reversible reactions with high controllabilities. The transient response of a given metabolite is most sensitive to reactions involving metabolites which are changing most rapidly relative to their respective pool sizes. Rapidly reversible reactions are most important for communication between metabolite pools.     

Is metabolic rate a universal ‘pacemaker’ for biological processes?

A common, long‐held belief is that metabolic rate drives the rates of various biological, ecological and evolutionary processes. Although this metabolic pacemaker view (as assumed by the recent, influential ‘metabolic theory of ecology’) may be true in at least some situations (e.g. those involving moderate temperature effects or physiological processes closely linked to metabolism, such as heartbeat and breathing rate), it suffers from several major limitations, including: (i) it is supported chiefly by indirect, correlational evidence (e.g. similarities between the body‐size and temperature scaling of metabolic rate and that of other biological processes, which are not always observed) – direct, mechanistic or experimental support is scarce and much needed; (ii) it is contradicted by abundant evidence showing that various intrinsic and extrinsic factors (e.g. hormonal action and temperature changes) can dissociate the rates of metabolism, growth, development and other biological processes; (iii) there are many examples where metabolic rate appears to respond to, rather than drive the rates of various other biological processes (e.g. ontogenetic growth, food intake and locomotor activity); (iv) there are additional examples where metabolic rate appears to be unrelated to the rate of a biological process (e.g. ageing, circadian rhythms, and molecular evolution); and (v) the theoretical foundation for the metabolic pacemaker view focuses only on the energetic control of biological processes, while ignoring the importance of informational control, as mediated by various genetic, cellular, and neuroendocrine regulatory systems. I argue that a comprehensive understanding of the pace of life must include how biological activities depend on both energy and information and their environmentally sensitive interaction. This conclusion is supported by extensive evidence showing that hormones and other regulatory factors and signalling systems coordinate the processes of growth, metabolism and food intake in adaptive ways that are responsive to an organism's internal and external conditions. Metabolic rate does not merely dictate growth rate, but is coadjusted with it. Energy and information use are intimately intertwined in living systems: biological signalling pathways both control and respond to the energetic state of an organism. This review also reveals that we have much to learn about the temporal structure of the pace of life. Are its component processes highly integrated and synchronized, or are they loosely connected and often discordant? And what causes the level of coordination that we see? These questions are of great theoretical and practical importance.     

基于16S rRNA高通量测序技术分析安格斯牛瘤胃微生物多样性和功能预测的研究

本研究旨在系统探索和分析安格斯牛瘤胃微生物多样性及其基因功能。选用体重550 kg左右的安格斯牛6头分成2组,利用基于16S rRNA高通量测序技术检测牛瘤胃液样本进行组学分析。结果表明,2组样本通过Illumina Miseq测序平台共获得86 298条高质量优质序列,聚类为346个操作分类单元(OUT),经分类学鉴定分属13个门,21个纲,24个目,40个科,123个属。拟杆菌门(Bacteroidetes)43.16%和厚壁菌门(Firmicutes)36.29%为优势菌群。基于属的组成,依次为普雷沃氏菌属_7 (Prevotella_7) 29.28%、琥珀酸弧菌科_UCG-001 (Succinivibrionaceae_UCG-001)11.30%、琥珀酸菌属(Succiniclasticum) 11.10%、普雷沃氏菌属_1 (Prevotella_1) 6.65%、瘤胃球菌属_1(Ruminococcus_1) 5.17%、琥珀酸弧菌属(Succinivibrio) 2.75%等。16S功能预测和COG、KEGG代谢通路数据库对比发现,功能集中在氨基酸运输和代谢、碳水化合物转运及代谢的相关基因上,可能含有丰富的蛋白分解、转运及代谢酶相关基因和大量的纤维素以及木质素降解酶基因。经碳水化合物活性酶(CAZymes)注释和KEGG代谢酶数据库比对显示,预测的功能基因糖苷水解酶和糖基转移酶所占比例较高;产乙酸和丁酸相关酶基因丰度较高。安格斯牛瘤胃内含有丰富的蛋白质分解、木质纤维素降解和挥发性脂肪酸生成菌群及酶系,为展示瘤胃微生物多样性,发现和筛选新的功能酶基因提供参考。     

Function of CAZymes encoded by highly abundant genes in rhizosphere microbiome of Moringa oleifera

Metagenomic analysis referring to CAZymes (Carbohydrate-Active enZymes) of CAZy classes encoded by the most abundant genes in rhizosphere versus bulk soil microbes of the wild plant Moringa oleifera was conducted. Results indicated that microbiome signatures and corresponding CAZy datasets differ between the two soil types. CAZy class glycoside hydrolases (GH) and its α-amylase family GH13 in rhizobiome were proven to be the most abundant among CAZy classes and families. The most abundant bacteria harboring these CAZymes include phylum Actinobacteria and its genus Streptomyces and phylum Proteobacteria and its genus Microvirga. These CAZymes participate in KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway “Starch and sucrose metabolism” and mainly use the “double displacement catalytic mechanism” in their reactions. We assume that microbiome of the wild plant Moringa oleifera is a good source of industrially important enzymes that act on starch hydrolysis and/or biosynthesis. In addition, metabolic engineering and integration of certain microbes of this microbiomes can also be used in improving growth of domestic plants and their ability to tolerate adverse environmental conditions.     

‘Last In–First Out’: seasonal variations of non‐structural carbohydrates,glucose‐6‐phosphate and ATP in tubers of two Arum species

• Knowledge on the metabolism of polysaccharide reserves in wild species is still scarce. In natural sites we collected tubers of Arum italicum Mill. and A. maculatum L. – two geophytes with different apparent phenological timing, ecology and chorology – during five stages of the annual cycle in order to understand patterns of reserve accumulation and degradation.
• Both the entire tuber and its proximal and distal to shoot portion were utilised. Pools of non‐structural carbohydrates (glucose, sucrose and starch), glucose‐6‐phosphate and ATP were analysed as important markers of carbohydrate metabolism.
• In both species, starch and glucose content of the whole tuber significantly increased from sprouting to the maturation/senescence stages, whereas sucrose showed an opposite trend; ATP and glucose‐6‐phosphate were almost stable and dropped only at the end of the annual cycle. Considering the two different portions of the tuber, both ATP and glucose‐6‐phosphate concentrations were higher in proximity to the shoot in all seasonal stages, except the flowering stage.
• Our findings suggest that seasonal carbon partitioning in the underground organ is driven by phenology and occurs independently of seasonal climate conditions. Moreover, our results show that starch degradation, sustained by elevated ATP and glucose‐6‐phosphate pools, starts in the peripheral, proximal‐to‐shoot portion of the tuber, consuming starch accumulated in the previous season, as a ‘Last In–First Out’ mechanism of carbohydrate storage.

     

Experimental concerns in tracer kinetic investigations of apolipoprotein metabolism

The complexity of the metabolism of the plasma lipoproteins makes it impossible to integrate the details of the reactions of specific apolipoproteins and their associated lipids without the use of computerized modeling methods. Because apolipoproteins impart specificity in the transport and chemical processing of plasma lipids, they have been the focus of many in vivo kinetic tracer investigations. The analysis of such kinetic data by modeling techniques has provided important advances in understanding lipoprotein metabolism. An example is the Delipidation Chain, an hypothesis explaining VLDL metabolism in terms of a sequential delipidation process. As a consequence of the advance in knowledge of apolipoprotein structure and metabolism, coupled with progress in computerized modeling of large systems, it has become important to refine the design of in vivo tracer kinetic investigations of the apolipoproteins. Considerations of particular importance include the selection of apolipoprotein tracers which can be shown to undergo the same reactions as the apolipoproteins whose metabolism they trace. If the physical and chemical processes which convert apolipoproteins from one metabolic pool to another are to be analyzed correctly, it is necessary to describe precisely and to measure accurately these pools. Current methods for delineating metabolic pools of apolipoproteins in vivo need to be refined. When accomplished, this will provide new opportunities to investigate the metabolic pathways of the apolipoproteins and their associated lipids. A very important challenge is to design experiments which will differentiate transfer processes, which result in net transport of a reactant, from exchange processes, whereby a tracer and a tracee are exchanged between pools without a net transport event occuring. Since both types of processes occur readily with apolipoproteins, it is important to develop methods to examine them separately. Computerized kinetic modeling provides a means for describing and understanding the complexities of lipoprotein metabolism. A major challenge is for the experimentalist to acquire data which accurately reflect the physiological processes involved in lipoprotein metabolism.     

Constraints-based genome-scale metabolic simulation for systems metabolic engineering

Random mutagenesis and selection approaches used traditionally for the development of industrial strains have largely been complemented by metabolic engineering, which allows purposeful modification of metabolic and cellular characteristics by using recombinant DNA and other molecular biological techniques. As systems biology advances as a new paradigm of research thanks to the development of genome-scale computational tools and high-throughput experimental technologies including omics, systems metabolic engineering allowing modification of metabolic, regulatory and signaling networks of the cell at the systems-level is becoming possible. In silico genome-scale metabolic model and its simulation play increasingly important role in providing systematic strategies for metabolic engineering. The in silico genome-scale metabolic model is developed using genomic annotation, metabolic reactions, literature information, and experimental data. The advent of in silico genome-scale metabolic model brought about the development of various algorithms to simulate the metabolic status of the cell as a whole. In this paper, we review the algorithms developed for the system-wide simulation and perturbation of cellular metabolism, discuss the characteristics of these algorithms, and suggest future research direction.     

Overexpression of the triose phosphate translocator (TPT) complements the abnormal metabolism and development of plastidial glycolytic glyceraldehyde‐3‐phosphate dehydrogenase mutants

The presence of two glycolytic pathways working in parallel in plastids and cytosol has complicated the understanding of this essential process in plant cells, especially the integration of the plastidial pathway into the metabolism of heterotrophic and autotrophic organs. It is assumed that this integration is achieved by transport systems, which exchange glycolytic intermediates across plastidial membranes. However, it is unknown whether plastidial and cytosolic pools of 3‐phosphoglycerate (3‐PGA) can equilibrate in non‐photosynthetic tissues. To resolve this question, we employed Arabidopsis mutants of the plastidial glycolytic isoforms of glyceraldehyde‐3‐phosphate dehydrogenase (GAPCp) that express the triose phosphate translocator (TPT) under the control of the 35S (35S:TPT) or the native GAPCp1 (GAPCp1:TPT) promoters. TPT expression under the control of both promoters complemented the vegetative developmental defects and metabolic disorders of the GAPCp double mutants (gapcp1gapcp2). However, as the 35S is poorly expressed in the tapetum, full vegetative and reproductive complementation of gapcp1gapcp2 was achieved only by transforming this mutant with the GAPCp1:TPT construct. Our results indicate that the main function of GAPCp is to supply 3‐PGA for anabolic pathways in plastids of heterotrophic cells and suggest that the plastidial glycolysis may contribute to fatty acid biosynthesis in seeds. They also suggest a 3‐PGA deficiency in the plastids of gapcp1gapcp2, and that 3‐PGA pools between cytosol and plastid do not equilibrate in heterotrophic cells.     

Differential usage of storage carbohydrates in the CAM bromeliad Aechmea 'Maya' during acclimation to drought and recovery from dehydration

CAM requires a substantial investment of resources into storage carbohydrates to account for nocturnal CO₂ uptake, thereby restricting carbohydrate partitioning to other metabolic activities, including dark respiration, growth and acclimation to abiotic stress. Flexible modulation of carbon flow to the different competing sinks under changing environmental conditions is considered a key determinant for the growth, productivity and ecological success of the CAM pathway. The aim of the present study was to examine how shifts in carbohydrate partitioning could assure maintenance of photosynthetic integrity and a positive carbon balance under conditions of increasing water deprivation in CAM species. Measurements of gas exchange, leaf water relations, malate, starch and soluble sugar (glucose, fructose and sucrose) contents were made in leaves of the CAM bromeliad Aechmea ‘Maya’ over a 6‐month period of drought and subsequently over a 2‐month period of recovery from drought. Results indicated that short‐term influences of water stress were minimized by elevating the level of respiratory recycling, and carbohydrate pools were maintained at the expense of export for growth while providing a comparable nocturnal carbon gain to that in well‐watered control plants. Longer term drought resulted in a disproportionate depletion of key carbohydrate reserves. Sucrose, which was of minor importance for providing substrate for the dark reactions under well‐watered conditions, became the major source of carbohydrate for nocturnal carboxylation as drought progressed. Flexibility in terms of the major carbohydrate source used to sustain dark CO₂ uptake is therefore considered a crucial factor in meeting the carbon and energy demands under limiting environmental conditions. Recovery from CAM‐idling was found to be dependent on the restoration of the starch pool, which was used predominantly for provision of substrate for nocturnal carboxylation, while net carbon export was limited. The conservation of starch for the nocturnal reactions might be adaptive with regard to responding efficiently to a return of water stress.     

Optimization of nonlinear biotechnological processes with linear programming: Application to citric acid production by Aspergillus niger

The metabolic pathway and the properties of many of the enzymes involved in the citric acid biosynthesis in the mold Aspergillus niger are well known. This fact, together with the availability of new theoretical frameworks aimed at quantitative analyses of control and dynamics in metabolic systems, has allowed us to construct a mathematical model of the carbohydrate metabolism in Aspergillus niger under conditions of citric acid accumulation. The model makes use of the S-system representation of biochemical systems, which renders it possible to use linear programming to optimize the process. It was found that maintaining the metabolite pools within narrow physiological limits (20% around the basal steady-state level) and allowing the enzyme concentrations to vary within a range of 0.1 to 50 times their basal values it is possible to triple the glycolytic flux while maintaining 100% yield of substrate transformation. To achieve these improvements it is necessary to modulate seven or more enzymes simultaneously. Although this seems difficult to implement at present, the results are useful because they indicate what the theoretical limits are and because they suggest several alternative strategies. (c) 1996 John Wiley & Sons, Inc.