The metabolic blueprint of Phaeodactylum tricornutum reveals a eukaryotic Entner-Doudoroff glycolytic pathway

Diatoms are one of the most successful groups of unicellular eukaryotic algae. Successive endosymbiotic events contributed to their flexible metabolism, making them competitive in variable aquatic habitats. Although the recently sequenced genomes of the model diatoms Phaeodactylum tricornutum and Thalassiosira pseudonana have provided the first insights into their metabolic organization, the current knowledge on diatom biochemistry remains fragmentary. By means of a genome‐wide approach, we developed DiatomCyc, a detailed pathway/genome database of P. tricornutum. DiatomCyc contains 286 pathways with 1719 metabolic reactions and 1613 assigned enzymes, spanning both the central and parts of the secondary metabolism of P. tricornutum. Central metabolic pathways, such as those of carbohydrates, amino acids and fatty acids, were covered. Furthermore, our understanding of the carbohydrate model in P. tricornutum was extended. In particular we highlight the discovery of a functional Entner–Doudoroff pathway, an ancient alternative for the glycolytic Embden–Meyerhof–Parnas pathway, and a putative phosphoketolase pathway, both uncommon in eukaryotes. DiatomCyc is accessible online ( http://www.diatomcyc.org ), and offers a range of software tools for the visualization and analysis of metabolic networks and ‘omics’ data. We anticipate that DiatomCyc will be key to gaining further understanding of diatom metabolism and, ultimately, will feed metabolic engineering strategies for the industrial valorization of diatoms.     

生物信息学数据库调查分析及其利用研究

从生物信息学数据库利用的角度调查分析生物信息学数据库的现状,为我国科研人员利用网上生物信息学数据库以及生物信息中心的开发提供科学依据和参考价值。研究采用网上调查的方法,对法国生物信息中心Infobiogen建立维护的生物信息学数据库目录DBcat中收录的511个数据库进行调查统计,分析其类型分布、国家分布、更新频率和获取方式;在此基础上。进一步利用欧洲分子生物学信息网(EMBnet)中30个成员国节点对生物信息学数据库利用现状进行统计分析。     

Farm animal genome databases

The requirements for bioinformatics resources to support genome research in farm animals is reviewed.The resources developed to meet these needs are described. Resource databases and associated tools have been developed to handle experimental data. Several of these systems serve the needs of multinational collaborations. Genome databases have been established to provide contemporary summaries of the status of genome maps in a range of farm and domestic animals along with experimental details and citations. New resources and tools will be required to address the informatics needs of emerging technologies such as microarrays. However, continued investment is also required to maintain the currency and utility of the current systems, especially the genome databases.     

Automated interpretation of metabolic capacity from genome and metagenome sequences

The KEGG pathway maps are widely used as a reference data set for inferring high-level functions of the organism or the ecosystem from its genome or metagenome sequence data. The KEGG modules, which are tighter functional units often corresponding to subpathways in the KEGG pathway maps, are designed for better automation of genome interpretation. Each KEGG module is represented by a simple Boolean expression of KEGG Orthology (KO) identifiers (K numbers), enabling automatic evaluation of the completeness of genes in the genome. Here we focus on metabolic functions and introduce reaction modules for improving annotation and signature modules for inferring metabolic capacity. We also describe how genome annotation is performed in KEGG using the manually created KO database and the computationally generated SSDB database. The resulting KEGG GENES database with KO (K number) annotation is a reference sequence database to be compared for automated annotation and interpretation of newly determined genomes.     

Automated system for gene annotation and metabolic pathway reconstruction using general sequence databases

Despite the growing number of genomes published or currently being sequenced, there is a relative paucity of software for functional classification of newly discovered genes and their assignment to metabolic pathways. Available software for such analyses has a very steep learning curve and requires the installation, configuration, and maintenance of large amounts of complex infrastructure, including complementary software and databases. Many such tools are restricted to one or a few data sources and classification schemes. In this work, we report an automated system for gene annotation and metabolic pathway reconstruction (ASGARD), which was designed to be powerful and generalizable, yet simple for the biologist to install and run on centralized, commonly available computers. It avoids the requirement for complex resources such as relational databases and web servers, as well as the need for administrator access to the operating system. Our methodology contributes to a more rapid investigation of the potential biochemical capabilities of genes and genomes by the biological researcher, and is useful in biochemical as well as comparative and evolutionary studies of pathways and networks.     

New approaches towards integrated proteomic databases and depositories

Since the publication of the human genome, two key points have emerged. First, it is still not certain which regions of the genome code for proteins. Second, the number of discrete protein-coding genes is far fewer than the number of different proteins. Proteomics has the potential to address some of these postgenomic issues if the obstacles that we face can be overcome in our efforts to combine proteomic and genomic data. There are many challenges associated with high-throughput and high-output proteomic technologies. Consequently, for proteomics to continue at its current growth rate, new approaches must be developed to ease data management and data mining. Initiatives have been launched to develop standard data formats for exchanging mass spectrometry proteomic data, including the Proteomics Standards Initiative formed by the Human Proteome Organization. Databases such as SwissProt and Uniprot are publicly available repositories for protein sequences annotated for function, subcellular location and known potential post-translational modifications. The availability of bioinformatics solutions is crucial for proteomics technologies to fulfil their promise of adding further definition to the functional output of the human genome. The aim of the Oxford Genome Anatomy Project is to provide a framework for integrating molecular, cellular, phenotypic and clinical information with experimental genetic and proteomics data. This perspective also discusses models to make the Oxford Genome Anatomy Project accessible and beneficial for academic and commercial research and development.     

微生物酶数据库的发展与应用

可数据化是现代生命科学研究,尤其是合成生物学的一项关键特性。酶作为生命体内催化生化反应的关键分子,其数据化对推动生命科学的基础研究和实际应用都有重要意义。当下商品化的酶大都来源于微生物,建立微生物酶资源数据库不仅可以为酶的分类提供标准参考,还可以指导新型催化元件的挖掘、改造与从头设计。本综述对国际上已有的酶资源数据库建设与发展作了简要介绍,并对基于数据库的微生物酶资源利用作出展望。     

降解吡啶复合菌系MD1的筛选、降解特性及代谢途径

【目的】为筛选吡啶高效降解复合菌系,促进高浓度吡啶废水的降解。本研究围绕吡啶降解复合菌系的筛选、降解特性及代谢途径,旨在获得吡啶高效降解复合菌系,为高浓度吡啶废水微生物降解及完全矿化提供理论依据和技术支撑。【方法】以吡啶为唯一碳氮源从某农药废水处理系统好氧活性污泥中筛选得到一个吡啶高效降解复合菌系MD1。采用16S rRNA高通量测序技术探究了MD1的群落结构及多样性,通过单因素实验考察了MD1的降解特性,利用气相色谱-质谱联用仪对MD1降解吡啶的代谢产物进行了初步检测与鉴定,推测吡啶可能的降解途径。【结果】结果显示,在温度30 ℃、pH 8.0、NaCl浓度0.1%的最佳条件下培养72 h,MD1对初始浓度1 400 mg/L的吡啶降解率为98.44%±0.27%。在属水平上,MD1主要由副球菌属(Paracoccus sp.)、布鲁氏菌属(unclassified_Brucellaceae)、无色杆菌属(Achromobacter sp.)等组成。由代谢产物检测结果初步推测MD1对吡啶的代谢途径为吡啶→烟酸→6-羟基烟酸→2,5-二羟基吡啶→N-甲酰基马来酰胺酸→马来酰胺酸→马来酸→CO₂+H₂O。【结论】研究筛选得到一个可高效降解吡啶、降解性能稳定的复合菌系MD1。解析了MD1的微生物组成多样性和群落结构,推测了MD1可能的代谢途径,研究结果丰富了吡啶降解微生物资源。     

Leveraging GWAS data to identify metabolic pathways and networks involved in maize lipid biosynthesis

Maize (Zea mays mays) oil is a rich source of polyunsaturated fatty acids (FAs) and energy, making it a valuable resource for human food, animal feed, and bio‐energy. Although this trait has been studied via conventional genome‐wide association study (GWAS), the single nucleotide polymorphism (SNP)‐trait associations generated by GWAS may miss the underlying associations when traits are based on many genes, each with small effects that can be overshadowed by genetic background and environmental variation. Detecting these SNPs statistically is also limited by the levels set for false discovery rate. A complementary pathways analysis that emphasizes the cumulative aspects of SNP‐trait associations, rather than just the significance of single SNPs, was performed to understand the balance of lipid metabolism, conversion, and catabolism in this study. This pathway analysis indicated that acyl‐lipid pathways, including biosynthesis of wax esters, sphingolipids, phospholipids and flavonoids, along with FA and triacylglycerol (TAG) biosynthesis, were important for increasing oil and FA content. The allelic variation found among the genes involved in many degradation pathways, and many biosynthesis pathways leading from FAs and carbon partitioning pathways, was critical for determining final FA content, changing FA ratios and, ultimately, to final oil content. The pathways and pathway networks identified in this study, and especially the acyl‐lipid associated pathways identified beyond what had been found with GWAS alone, provide a real opportunity to precisely and efficiently manipulate high‐oil maize genetic improvement.     

灰葡萄孢犬尿氨酸途径关键酶基因的鉴定

【背景】灰葡萄孢是一种重要的植物病原真菌,实验室前期明确了灰葡萄孢犬尿氨酸单加氧酶(kynurenine3-monooxygenase,KMO)基因BcKMO参与调控病菌的生长发育和致病力。犬尿氨酸单加氧酶(KMO)是犬尿氨酸途径的关键酶,但灰葡萄孢是否存在犬尿氨酸途径及其在病菌生长、发育和致病过程中的功能尚未见相关报道。【目的】鉴定灰葡萄孢犬尿氨酸途径中的关键酶基因,确定灰葡萄孢犬尿氨酸途径的存在,为阐明灰葡萄孢生长发育和致病力的分子机理奠定基础。【方法】利用生物信息学方法,对灰葡萄孢犬尿氨酸途径中犬尿氨酸酶(kynureninase,KYN)、吲哚-2,3-双加氧酶(indoleamine-2,3-dioxygenase,IDO)、犬尿氨酸氨基转移酶(kynurenine amino transferase,KAT)的编码基因进行分析;利用Real-time PCR技术,检测灰葡萄孢野生型BC22、BcKMO基因T-DNA插入突变体BCG183、恢复菌株BCG183/BcKMO中犬尿氨酸途径关键酶基因的表达水平;利用真菌犬尿氨酸酶KYN检测试剂盒,测定BcKMO突变体中犬尿氨酸酶(KYN)的含量。【结果】灰葡萄孢中含有2个犬尿氨酸氨基转移酶(KAT)的编码基因、3个吲哚-2,3-双加氧酶(IDO)的编码基因、10个犬尿氨酸氨基转移酶(KAT)的编码基因。灰葡萄孢KYN编码基因、IDO编码基因、KAT编码基因在突变体BCG183中的表达水平显著高于或低于在野生型和恢复菌株。突变体BCG183中犬尿氨酸酶(KYN)的含量显著低于野生型BC22和恢复菌株。【结论】灰葡萄孢中存在犬尿氨酸途径,灰葡萄孢BcKMO基因突变影响KYN、IDO和KAT编码基因的表达以及犬尿氨酸酶(KYN)的含量。     

Insight into trichomonas vaginalis genome evolution through metabolic pathways comparison

Trichomonas vaginalis causes the trichomoniasis, in women and urethritis and prostate cancer in men. Its genome draft published by TIGR in 2007 presents many unusual genomic and biochemical features like, exceptionally large genome size, the presence of hydrogenosome, gene duplication, lateral gene transfer mechanism and the presence of miRNA. To understand some of genomic features we have performed a comparative analysis of metabolic pathways of the T. vaginalis with other 22 significant common organisms. Enzymes from the biochemical pathways of T. vaginalis and other selected organisms were retrieved from the KEGG metabolic pathway database. The metabolic pathways of T. vaginalis common in other selected organisms were identified. Total 101 enzymes present in different metabolic pathways of T. vaginalis were found to be orthologous by using BLASTP program against the selected organisms. Except two enzymes all identified orthologous enzymes were also identified as paralogous enzymes. Seventy-five of identified enzymes were also identified as essential for the survival of T. vaginalis, while 26 as non-essential. The identified essential enzymes also represent as good candidate for novel drug targets. Interestingly, some of the identified orthologous and paralogous enzymes were found playing significant role in the key metabolic activities while others were found playing active role in the process of pathogenesis. The N-acetylneuraminate lyase was analyzed as the candidate of lateral genes transfer. These findings clearly suggest the active participation of lateral gene transfer and gene duplication during evolution of T. vaginalis from the enteric to the pathogenic urogenital environment.     

EBI databases and services

The EMBL Outstation-European Bioinformatics Institute (EBI) is a center for research and services in bioinformatics. It serves researchers in molecular biology, genetics, medicine, and agriculture from academia, and the agricultural, biotechnology, chemical, and pharmaceutical industries. The Institute manages and makes available databases of biological data including nucleic acid, protein sequences, and macromolecular structures. It provides to this community bioinformatics services relevant to molecular biology free of charge over the Internet. Some of these databases and services are described in this review. For more information, visit the EBI Web server at http://www.ebi.ac.uk/.     

基因组尺度分析和代谢工程策略

代谢工程是近年来发展起来的新技术,随着各种组学技术的发展,高通量数据整合方法用于分析细胞的代谢网络,改造代谢途径,以提高目标产物的产量。本文就代谢工程的发展状况,基因组尺度的分析技术,以及代谢工程策略进行了综述。分析了生物信息学和系统生物学方法在代谢途径构建和代谢网络分析中的作用,并就存在的问题和可能的解决途径进行了阐述。     

代谢途径数据库简介

复杂的代谢途径分支比线性的基因、基因组和蛋白质序列更难以表示和搜索，介绍了INTERNET上常见的代谢途径数据库，并对其站点、内容和功能以及使用技巧作了简要的阐述。     

Computational identification of altered metabolism using gene expression and metabolic pathways

Understanding altered metabolism is an important issue because altered metabolism is often revealed as a cause or an effect in pathogenesis. It has also been shown to be an important factor in the manipulation of an organism's metabolism in metabolic engineering. Unfortunately, it is not yet possible to measure the concentration levels of all metabolites in the genome‐wide scale of a metabolic network; consequently, a method that infers the alteration of metabolism is beneficial. The present study proposes a computational method that identifies genome‐wide altered metabolism by analyzing functional units of KEGG pathways. As control of a metabolic pathway is accomplished by altering the activity of at least one rate‐determining step enzyme, not all gene expressions of enzymes in the pathway demonstrate significant changes even if the pathway is altered. Therefore, we measure the alteration levels of a metabolic pathway by selectively observing expression levels of significantly changed genes in a pathway. The proposed method was applied to two strains of Saccharomyces cerevisiae gene expression profiles measured in very high‐gravity (VHG) fermentation. The method identified altered metabolic pathways whose properties are related to ethanol and osmotic stress responses which had been known to be observed in VHG fermentation because of the high sugar concentration in growth media and high ethanol concentration in fermentation products. With the identified altered pathways, the proposed method achieved best accuracy and sensitivity rates for the Red Star (RS) strain compared to other three related studies (gene‐set enrichment analysis (GSEA), significance analysis of microarray to gene set (SAM‐GS), reporter metabolite), and for the CEN.PK 113‐7D (CEN) strain, the proposed method and the GSEA method showed comparably similar performances. Biotechnol. Bioeng. 2009;103: 835–843. © 2009 Wiley Periodicals, Inc.     

Validation of metabolic pathway databases based on chemical substructure search

Metabolic pathway databases such as KEGG contain information on thousands of biochemical reactions drawn from the biomedical literature. Ensuring consistency of such large metabolic pathways is essential to their proper use. In this paper, we present a new method to determine consistency of an important class of biochemical reactions. Our method exploits the knowledge of the atomic rearrangement pattern in biochemical reactions, to reduce the automatic atom mapping problem to a series of chemical substructure searches between the substrate and the product of a biochemical reaction. As an illustrative application, we describe the exhaustive validation of a substantial portion from the latest release of the KEGG LIGAND database.