A new mutation delivery system for genome-scale approaches in Bacillus subtilis

In Bacillus subtilis, although many genetic tools have been developed, gene replacement remains labour-intensive and not compatible with large-scale approaches. We have developed a new one-step gene replacement procedure that allows rapid alteration of any gene sequence or multiple gene sequences in B. subtilis without altering the chromosome in any other way. This novel approach relies on the use of upp, which encodes uracil phosphoribosyl-transferase, as a counter-selectable marker. We fused the upp gene to an antibiotic-resistance gene to create an 'upp-cassette'. A polymerase chain reaction (PCR)-generated fragment, consisting of the target gene with the desired mutation joined to the upp-cassette, was integrated into the chromosome by homologous recombination, using positive selection for antibiotic resistance. Then, the eviction of the upp-cassette from the chromosome by recombination between short repeated chromosomal sequences, included in the design of the transforming DNA molecule, was achieved by counter-selection of upp. This procedure was successfully used to deliver a point mutation, to generate in-frame deletions with reduced polar effects, and to combine deletions in three paralogous genes encoding two-component sensor kinases. Also, two chromosome regions carrying previously unrecognized essential functions were identified, and large deletions in two dispensable regions were combined. This work outlines a strategy for identifying essential functions that could be used at genome scale.     

海洋氮循环过程及基于基因组代谢网络模型的预测

海洋氮循环在地球元素循环中充当着必不可少的角色。海洋氮循环是由一系列氧化还原反应构成的生物化学过程。固氮作用和氮同化作用为生态系统提供了生物可用氮(铵盐)。硝化作用可进一步将铵盐氧化为硝酸盐,硝酸盐又可以通过反硝化作用转化为氮气。整个氮循环实现了海洋中不同含氮无机盐间的转换。微生物是海洋氮循环的重要驱动者,海洋氮循环的研究可以帮助理解海洋生物与地球环境相互作用及协同演化的机制,从而更好地保护地球生态环境。随着氮循环关键微生物基因组尺度代谢网络模型的发表,研究者可以利用代谢网络模型来研究不同氮循环过程的效率、环境因子对氮循环过程的影响以及解析氮循环及生物网络的内在机理等,从而帮助人们更深入地研究海洋氮转化机制。本文主要综述了海洋氮循环过程中各个转化过程的主要微生物,以及基因组尺度代谢网络模型在分析氮循环中的应用。     

Toward the automated generation of genome-scale metabolic networks in the SEED

Background  

Current methods for the automated generation of genome-scale metabolic networks focus on genome annotation and preliminary biochemical reaction network assembly, but do not adequately address the process of identifying and filling gaps in the reaction network, and verifying that the network is suitable for systems level analysis. Thus, current methods are only sufficient for generating draft-quality networks, and refinement of the reaction network is still largely a manual, labor-intensive process.     

Further developments towards a genome-scale metabolic model of yeast

Background

To date, several genome-scale network reconstructions have been used to describe the metabolism of the yeast Saccharomyces cerevisiae, each differing in scope and content. The recent community-driven reconstruction, while rigorously evidenced and well annotated, under-represented metabolite transport, lipid metabolism and other pathways, and was not amenable to constraint-based analyses because of lack of pathway connectivity.

Results

We have expanded the yeast network reconstruction to incorporate many new reactions from the literature and represented these in a well-annotated and standards-compliant manner. The new reconstruction comprises 1102 unique metabolic reactions involving 924 unique metabolites - significantly larger in scope than any previous reconstruction. The representation of lipid metabolism in particular has improved, with 234 out of 268 enzymes linked to lipid metabolism now present in at least one reaction. Connectivity is emphatically improved, with more than 90% of metabolites now reachable from the growth medium constituents. The present updates allow constraint-based analyses to be performed; viability predictions of single knockouts are comparable to results from in vivo experiments and to those of previous reconstructions.

Conclusions

We report the development of the most complete reconstruction of yeast metabolism to date that is based upon reliable literature evidence and richly annotated according to MIRIAM standards. The reconstruction is available in the Systems Biology Markup Language (SBML) and via a publicly accessible database http://www.comp-sys-bio.org/yeastnet/.     

D-Tyrosine as a metabolic inhibitor of Bacillus subtilis

The d-isomer of tyrosine is a potent inhibitor of growth in transformable strain 168 of Bacillus subtilis. A d-tyrosine-resistant mutant of the inhibited strain was isolated which excreted l-tyrosine, had a diminished growth rate, and required l-phenylalanine to attain the growth rate of the wild-type parent. Mapping by deoxyribonucleate transformation located this resistance in the gene coding for prephenate dehydrogenase. This enzyme in the d-tyrosine-resistant mutant was insensitive to the usual feedback inhibition exerted by l-tyrosine in extracts of strain 168. In contrast, the growth of poorly transformable strain 23 of B. subtilis, as well as that of several other Bacillus species, was not affected by the analogue. Transformation mapping demonstrated no linkage of this latter "natural resistance" to several different aromatic markers. Prephenate dehydrogenase in extracts from strain 23 was as sensitive as that from strain 168 to feedback inhibition by l-tyrosine in vitro. The relationships of the latter results to the regulation of tyrosine biosynthesis and the possible nature of strain differences in d-tyrosine sensitivity are discussed.     

基因组规模代谢网络模型构建及其应用

微生物制造产业的发展迫切需要进一步提高认识、设计和改造微生物细胞代谢的能力,以推动工业生物技术快速发展。随着微生物全基因组序列等高通量数据的不断积聚和生物信息学策略的持续涌现,使全局性、系统化地解析、设计、调控微生物生理代谢功能成为可能。而基于基因组序列注释和详细生化信息整合的基因组规模代谢网络模型(GSMM)构建为全局理解和理性调控微生物生理代谢功能提供了最佳平台。以下在详述GSMM的应用基础上,描述了如何构建一个高精确度的GSMM,并展望了未来的发展方向。     

Reconstruction and analysis of genome-scale metabolic model of a photosynthetic bacterium

Background  

Synechocystis sp. PCC6803 is a cyanobacterium considered as a candidate photo-biological production platform - an attractive cell factory capable of using CO₂ and light as carbon and energy source, respectively. In order to enable efficient use of metabolic potential of Synechocystis sp. PCC6803, it is of importance to develop tools for uncovering stoichiometric and regulatory principles in the Synechocystis metabolic network.     

Phylogenetic analysis based on genome-scale metabolic pathway reaction content

Phylogenetic classifications based on single genes such as rRNA genes do not provide a complete and accurate picture of evolution because they do not account for evolutionary leaps caused by gene transfer, duplication, deletion and functional replacement. Here, we present a whole-genome-scale phylogeny based on metabolic pathway reaction content. From the genome sequences of 42 microorganisms, we deduced the metabolic pathway reactions and used the relatedness of these contents to construct a phylogenetic tree that represents the similarity of metabolic profiles (relatedness) as well as the extent of metabolic pathway similarity (evolutionary distance). This method accounts for horizontal gene transfer and specific gene loss by comparison of whole metabolic subpathways, and allows evaluation of evolutionary relatedness and changes in metabolic pathways. Thus, a tree based on metabolic pathway content represents both the evolutionary time scale (changes in genetic content) and the evolutionary process (changes in metabolism).     

基因组尺度代谢网络研究进展

基因组尺度代谢网络从基因组序列出发,结合基因、蛋白质、代谢数据库和实验数据,从系统的角度定量研究生命体的代谢过程,了解各个组分之间的相互作用关系。这类网络模型对于生命活动理论研究和优良工程菌的构建都具有重要的理论和实践意义。以下结合作者的实际研究经验,对基因组尺度代谢网络从重构到模拟直至应用进行了较为详细的介绍,并讨论了一些目前存在的难题和未来的研究方向。     

YesT: a new rhamnogalacturonan acetyl esterase from Bacillus subtilis

YesT, a putative protein from Bacillus subtilis ATCC 6633 that has been provisionally classified as a rhamnogalacturonan acetyl esterase (RGAE) in CE-12 family, was cloned, expressed in Escherichiacoli Rosetta (DE3), and purified. The enzyme is monomeric with a molecular mass of 37 kDa and presents thermophilic properties similar to RGAE from Aspergillus aculeatus, although YesT is more alkaliphilic. The study of inhibitors confirmed the importance of the His and the nucleophilic Ser for the esterase activity, apart from the Asp from the catalytic triad. This enzyme also presents broad substrate specificity, and is active toward 7-aminocephalosporanic acid, cephalosporin C, p-nitrophenyl acetate, beta-naphthyl acetate, glucose pentaacetate, and acetylated xylan. Moreover, YesT achieves a synergistic effect together with xylanase A toward acetylated xylan. As a member of the SGNH family, it does not adopt the common alpha/beta hydrolase fold. The primary sequence analysis and multiple sequence alignment revealed the lack of a two beta-stranded antiparallel sheet, which results in a clear change in the structure together with the disappearance of one of the three 3(10)-helices presented in RGAE structure. The similarities found in this article among the topological diagrams of RGAE, YesT, and Esterase A from Streptomyces scabies, Platelet-Activating Factor AcetylHydrolase, isoform Ib, alpha subunit [PAF-AH(Ib)alpha(1)], PAF-AH(Ib)alpha(2), the esterase domain from hemagglutinin esterase fusion glycoprotein (HEF1) from Influenza C virus, the thioesterase I (TAP) from E. coli, the hypothetical protein a1r1529 from Nostoc sp., and the hypothetical YxiM precursor that all belong to the SGNH family could indicate a possible divergence of such proteins from a common ancestor.     

Production of D-arabitol by a metabolic engineered strain of Bacillus subtilis

A novel method for D-arabitol production with a metabolically engineered Bacillus subtilis strain is described. A known transketolase-deficient and D-ribose-producing mutant of B. subtilis (ATCC 31094) was further modified by disruption of its rpi (D-ribose phosphate isomerase) gene to create a D-ribulose- and D-xylulose-producing B. subtilis strain. Expression of the D-arabitol phosphate dehydrogenase gene of Enterococcus avium in the D-ribulose- and D-xylulose-producing strain resulted in a strain of B. subtilis capable of converting D-glucose to D-arabitol with a high yield (38%) and little by-product formation.     

Control of key metabolic intersections in Bacillus subtilis

The remarkable ability of bacteria to adapt efficiently to a wide range of nutritional environments reflects their use of overlapping regulatory systems that link gene expression to intracellular pools of a small number of key metabolites. By integrating the activities of global regulators, such as CcpA, CodY and TnrA, Bacillus subtilis manages traffic through two metabolic intersections that determine the flow of carbon and nitrogen to and from crucial metabolites, such as pyruvate, 2-oxoglutarate and glutamate. Here, the latest knowledge on the control of these key intersections in B. subtilis is reviewed.     

Modeling hybridoma cell metabolism using a generic genome-scale metabolic model of Mus musculus

The reconstructed cellular metabolic network of Mus musculus, based on annotated genomic data, pathway databases, and currently available biochemical and physiological information, is presented. Although incomplete, it represents the first attempt to collect and characterize the metabolic network of a mammalian cell on the basis of genomic data. The reaction network is generic in nature and attempts to capture the carbon, energy, and nitrogen metabolism of the cell. The metabolic reactions were compartmentalized between the cytosol and the mitochondria, including transport reactions between the compartments and the extracellular medium. The reaction list consists of 872 internal metabolites involved in a total of 1220 reactions, whereof 473 relate to known open reading frames. Initial in silico analysis of the reconstructed model is presented.     

Engineering Bacteroides thetaiotaomicron to produce non-native butyrate based on a genome-scale metabolic model-guided design

Bacteroides thetaiotaomicron represents a major symbiont of the human gut microbiome that is increasingly viewed as a promising candidate strain for microbial therapeutics. Here, we engineer B. thetaiotaomicron for heterologous production of non-native butyrate as a proof-of-concept biochemical at therapeutically relevant concentrations. Since B. thetaiotaomicron is not a natural producer of butyrate, we heterologously expressed a butyrate biosynthetic pathway in the strain, which led to the production of butyrate at the final concentration of 12 mg/L in a rich medium. Further optimization of butyrate production was achieved by a round of metabolic engineering guided by an expanded genome-scale metabolic model (GEM) of B. thetaiotaomicron. The in silico knock-out simulation of the expanded model showed that pta and ldhD were the potent knock-out targets to enhance butyrate production. The maximum titer and specific productivity of butyrate in the pta-ldhD double knockout mutant increased by nearly 3.4 and 4.8 folds, respectively. To our knowledge, this is the first engineering attempt that enabled butyrate production from a non-butyrate producing commensal B. thetaiotaomicron. The study also highlights that B. thetaiotaomicron can serve as an effective strain for live microbial therapeutics in human.     

Effect of a new pyrimidine analog on Bacillus subtilis growth.

2-Amino-5-ethoxycarbonylpyrimidine-4(3H)-one, a pyrimidine analog, inhibited growth of Bacillus subtilis. Data were obtained which suggested that the analog interfered with the methylation process. A mutant resistant to the inhibitor was isolated, and the mutation was mapped.     

A genome-scale metabolic model of potato late blight suggests a photosynthesis suppression mechanism

Background

Phytophthora infestans is a plant pathogen that causes an important plant disease known as late blight in potato plants (Solanum tuberosum) and several other solanaceous hosts. This disease is the main factor affecting potato crop production worldwide. In spite of the importance of the disease, the molecular mechanisms underlying the compatibility between the pathogen and its hosts are still unknown.

Results

To explain the metabolic response of late blight, specifically photosynthesis inhibition in infected plants, we reconstructed a genome-scale metabolic network of the S. tuberosum leaf, PstM1. This metabolic network simulates the effect of this disease in the leaf metabolism. PstM1 accounts for 2751 genes, 1113 metabolic functions, 1773 gene-protein-reaction associations and 1938 metabolites involved in 2072 reactions. The optimization of the model for biomass synthesis maximization in three infection time points suggested a suppression of the photosynthetic capacity related to the decrease of metabolic flux in light reactions and carbon fixation reactions. In addition, a variation pattern in the flux of carboxylation to oxygenation reactions catalyzed by RuBisCO was also identified, likely to be associated to a defense response in the compatible interaction between P. infestans and S. tuberosum.

Conclusions

In this work, we introduced simultaneously the first metabolic network of S. tuberosum and the first genome-scale metabolic model of the compatible interaction of a plant with P. infestans.