四川海螺沟冰川土样芽胞杆菌资源分析

【背景】芽胞杆菌(Bacillus-like)是一类能形成具有强抗性芽胞且可在多种极端环境下存活的细菌,其产生的多种功能代谢产物在多种领域具有重要研究价值。由于冰川低温、寡营养的独特生态环境,其存在的芽胞杆菌可能具有特殊性,因此研究冰川芽胞杆菌有利于发掘新基因、丰富芽胞杆菌多样性。【目的】了解四川海螺沟冰川土壤芽胞杆菌资源,为挖掘芽胞杆菌新资源提供基础。【方法】采用纯培养法分离获得冰川土壤芽胞杆菌资源,利用16S r RNA基因进行系统发育分析,测定代表性菌株的生理生化特性并采用类平均法和欧氏距离模型进行聚类分析。【结果】共筛选到可培养细菌44株,经16S r RNA基因鉴定确定其中36株为芽胞杆菌,隶属于4个属的19个种,分别为芽胞杆菌属(Bacillus)11个种24株、类芽胞杆菌属(Paenibacillus)2个种3株、短芽胞杆菌属(Brevibacillus)4个种5株和赖氨酸芽胞杆菌属(Lysinibacillus)2个种4株,其中以芽胞杆菌属(Bacillus)为优势属。分离菌中仅3株芽胞杆菌可在4°C生存,7株能在50°C生长,大部分菌株在30°C下生长良好;有74%菌株能耐碱,有37%菌株能在无盐条件下生长。根据生理生化结果,采用类平均法和欧氏距离模型进行聚类分析,可分为3组,分别包含7种、4种和6种芽胞杆菌。第1组均可以水解七叶灵和利用葡萄糖,第2组均不能水解七叶灵和利用葡萄糖,第3组仅能共同利用葡萄糖。【结论】四川海螺沟冰川土壤蕴藏着较为丰富的芽胞杆菌资源,为芽胞杆菌新资源挖掘提供了资源保障。     

苏云金芽胞杆菌转录调控因子CodY的体外靶基因的筛选

【目的】利用Avi-tag和Pulldown技术建立体外靶基因筛选的新方法,在苏云金芽胞杆菌YBT-1520基因组范围内进行体外高通量筛选转录调控因子CodY的靶基因,为深入研究CodY在苏云金芽胞杆菌中的功能及调控网络打下基础。【方法】用Avi-tag技术对CodY蛋白进行体外生物素标记,酶切苏云金芽胞杆菌YBT-1520总DNA并在两端加上便于测序的adapter序列,用链霉亲和素树脂筛选与CodY蛋白相互作用的靶基因。【结果】在苏云金芽胞杆菌中得到了46条CodY可以直接作用的靶序列,分析发现CodY在苏云金芽胞杆菌中主要调控氨基酸代谢、糖代谢、脂肪酸代谢、转运、调控、DNA修复、双组份调控等的转录。【结论】本研究采用的Avi-tag技术具有特异性强、操作简单、成本低等优势,为转录因子体外靶序列的高通量筛选提供新的方法;苏云金芽胞杆菌中CodY靶基因的筛选为其他微生物中CodY的功能研究打下基础。     

土壤中可编码乌头酸异构酶的芽胞杆菌菌株筛选及鉴定

【目的】以芽胞杆菌(Bacillus)为筛选对象,分离土壤中可编码乌头酸异构酶(aconitate isomerase,AI)的革兰氏阳性(Gram positive,G+)菌株,以丰富对AI分布的科学认识,为其生物学功能研究奠定理论与材料基础。【方法】采用土样高温预处理法、含反式乌头酸(trans-aconitic acid,TAA)唯一碳源的ACO固体平板培养法,结合16S rDNA基因序列同源性分析,筛选能够编码AI的芽胞杆菌目的菌株。【结果】共分离得到22株能够利用TAA碳源的细菌菌株,成功鉴定了其中的16株,分别为巨大芽胞杆菌(Bacillus megaterium) 2株,阿氏芽胞杆菌(Bacillus aryabhattai) 7株,短小芽胞杆菌(Bacillus pumilus) 1株,未鉴定到种的芽胞杆菌(Bacillus sp.) 6株;且它们所含AI编码基因与已知AI基因在序列上存在差异。【结论】首次证明可编码AI的芽胞杆菌细菌种类具有多样性,暗示G+细菌广泛编码AI的可能性,更新了AI几乎只在G–细菌中分布的观点,为后续深入挖掘AI基因及其生物学功能研究提供更多可用微生物资源。     

ccpA基因对蜡样芽胞杆菌氨肽酶生产的影响

【目的】构建蜡样芽胞杆菌(Bacillus cereus)ccp A缺失菌株,并初步探索ccp A基因对其碳代谢及氨肽酶生产的影响。【方法】利用温敏型质粒p KSV7构建蜡样芽胞杆菌CZ ccp A基因缺失突变株CZΔccp A,通过回补菌株对敲除株表型进行验证;不同碳源发酵对比菌株碳代谢的变化,进行氨肽酶发酵优化。【结果】成功构建ccp A缺失菌株CZΔccp A与回补菌株CZ1,三株菌在LB培养基中生长无差异;在柠檬酸钠以及甘露低聚糖为碳源时,菌株的代谢产生明显变化;以D-木糖为单一碳源时,氨肽酶的产量提高48.25%。【结论】CZ ccp A基因对柠檬酸钠、甘露低聚糖、D-木糖为单一碳源时的代谢可能具有调控作用,ccp A基因缺失可以提高蜡样芽胞杆菌CZ的氨肽酶产量。     

炭疽芽胞杆菌中CRISPR位点

【目的】考察炭疽芽胞杆菌中规律成簇的间隔短回文序列(Clustered regularly interspaced short palindromic repeats,CRISPR)位点多态性情况及基于CRISPR位点多态性的分子分型方法是否在炭疽芽胞杆菌分型中适用。【方法】下载NCBI数据库中6株炭疽芽胞杆菌基因组并截取其中CRISPR位点片段序列。根据炭疽芽胞杆菌内CRISPR位点信息,设计相关引物,以193株炭疽芽胞杆菌基因组为模板PCR扩增CRISPR位点片段,测序。本地Blast比对截取序列及测序结果,查看CRISPR位点在炭疽芽胞杆菌中的多态性情况,并比较炭疽芽胞杆菌与蜡样芽胞杆菌和苏云金芽胞杆菌内CRISPR位点情况。【结果】炭疽芽胞杆菌内CRISPR位点不存在多态性。【结论】基于CRISPR位点多态性的分子分型方法不适用于炭疽芽胞杆菌分型,但可以用于区分炭疽芽胞杆菌与蜡样芽胞杆菌和苏云金芽胞杆菌。     

基于可培养法分析亚热带植物内生与根际芽胞杆菌种类分布异质性

【背景】芽胞杆菌是农业上重要的微生物菌剂,对植物具有促生、防病、防虫等作用。【目的】了解亚热带植物内生和根际芽胞杆菌的种群分布,为其功能挖掘提供科学依据。【方法】采用可培养手段对甘蔗(Saccharum officinarum)、红麻(Hibiscus cannabinus L.)、黄麻(Corchorus capsularis L.)、黄秋葵(Abelmoschus esculentus)和玫瑰茄(Hibiscus sabdariffa)根际土壤和根内生芽胞杆菌进行分离,利用16S rRNA基因测序对分离菌株进行分类鉴定,并分析系统发育地位。【结果】共获得了可培养芽胞杆菌菌株144株,其中根内生芽胞杆菌82株,根际土壤62株。经16S rRNA基因测序鉴定为芽胞杆菌4个属37个种,分别为芽胞杆菌属、短芽胞杆菌属、类芽胞杆菌属和赖氨酸芽胞杆菌属。芽胞杆菌菌落数量和种类在根部及其根际土壤中差异较大,根际土壤中芽胞杆菌菌落数量远远大于根部,根际土壤中芽胞杆菌菌落含量范围为(0.2-370.0)×10~5CFU/g,而根部为(0.1-81.0)×10~3 CFU/g。根部分离获得的芽胞杆菌种类远大于根际土壤中,从作物根际土壤中共获得了芽胞杆菌19个种,从根部获得内生芽胞杆菌共32个种。阿氏芽胞杆菌(Bacillus aryabhattai)、仙草芽胞杆菌(Bacillus mesonae)和假蕈状芽胞杆菌(Bacillus pseudomycoides)同时存在于4种作物的根际土壤和根部,其他芽胞杆菌种类仅存在于1种作物的根际或者根部。【结论】亚热带作物根际土壤和根部芽胞杆菌种类和数量极为丰富,而且还存在可分离培养的芽胞杆菌潜在新物种,这为了解植物与根际微生物相互作用、根际环境生态平衡提供了理论基础和科学依据。     

多粘类芽胞杆菌SC2基因敲除体系的建立

摘要:【目的】建立多粘类芽胞杆菌SC2 的基因敲除体系。【方法】利用电转化把温敏型自杀质粒pRN5101导入到多粘类芽胞杆菌SC2中。采用基因重组技术敲除SC2 中的多粘菌素基因E(pmxE),得到突变株SC2-E。利用抗细菌性能检测和高效液相色谱分析合成多粘菌素的能力,来证实pmxE基因是否被敲除。【结果】成功构建了多粘类芽胞杆菌SC2 的基因敲除体系。pRN5101转入SC2后能够在28℃复制,39℃自杀。突变株失去了合成多粘菌素的能力,成功敲除pmxE基因,验证了此体系的可用性。【结论】首次构建了多粘类芽胞杆菌的基因敲除体系,拓展了pRN5101的使用范围,为研究多粘类芽胞杆菌的基因功能提供了高效的遗传操作工具。     

解淀粉芽胞杆菌BaX030的分离鉴定及抗菌功能

摘要:【目的】芽胞杆菌是微生物活性物的重要来源,从全国各地采集的72份土壤样品中分离出339株芽胞杆菌,研究各菌株抑菌活性,分离纯化抑菌活性物,为丰富芽胞杆菌菌种资源和微生物次级代谢物的挖掘奠定实际应用基础。【方法】采用水浴加热和稀释平板涂布等方法从河南花生地采集的土壤中筛选得到一株具有很强抑菌活性的芽胞杆菌,结合形态观察、生理生化特征和16S rRNA基因序列同源性比对分析,对该菌株进行鉴定。丙酮沉淀、葡聚糖凝胶柱层析、C18反相柱层析得到Bacillus amyloliquefaciens X030抑菌活性物,LC-MS/MS鉴定其分子量。利用滤纸片扩散法和平板对峙培养法测定抑菌谱及拮抗性质。【结果】筛选分离得到一株解淀粉芽胞杆菌,归类并命名为解淀粉芽胞杆菌Bacillus amyloliquefaciens X030。BaX030对金黄色葡萄球菌(Staphylococcus aureus)、白色念珠菌(Candida albicans)、酵母菌( Saccharomycetes)有较强抑制效果,对水稻稻瘟病菌(Pyriculariaoryzae)、辣椒尖胞炭疽病菌(Chili pointed cell anthrax)、枇杷炭疽病菌(Gloeosporium eriobotryae speg)、烟草黑胫病菌(Phytophthora parasitica)有良好拮抗活性。初步确定BaX030产生的抑菌活性物为多肽类化合物。【结论】分离得到的B． amyloliquefaciens X030产生了一个对病原细菌具有较强抑制作用的多肽,同时该菌株在拮抗植物病原真菌方面也有明显的效果。     

西藏土壤中耐辐射阿氏芽胞杆菌T61的分离和鉴定

【目的】对分离自西藏土样的菌株T61进行分离、鉴定和UV辐射抗性分析。【方法】对菌株T61进行形态和生理生化鉴定;对16S r RNA基因进行克隆和测序,构建系统进化树;测定脂肪酸成分和GC含量,将T61与最相近种进行DNA-DNA杂交;测定T61的UV辐射抗性曲线。【结果】T61细胞杆状,长度约为2μm,直径约为1μm,革兰氏阳性,可产生内生孢子。G+C含量为38.02%。脂肪酸主要成分是C14:0 iso、C15:0 iso和C15:0 anteiso。16S r RNA基因与阿氏芽胞杆菌B8W22T和巨大芽胞杆菌IAM13418T相似度最高,分别达到99.93%和99.53%。DNA-DNA杂交分析表明,T61与阿氏芽胞杆菌B8W22T的相似度为81.4%,而与巨大芽胞杆菌IAM13418T的相似度只有50.3%。UV辐射抗性分析显示,T61 D10为100 J/m2,远高于辐射敏感的大肠杆菌K12和枯草芽孢杆菌等菌株。【结论】菌株T61是一株阿氏芽胞杆菌,命名为Bacillus aryabhattai T61,其对UV辐射具有较强的抗性。     

芽胞杆菌BJ-6的鉴定及对甜瓜细菌性果斑病的防治

芽胞杆菌是目前植物病害生物防治研究最多的一类微生物,其在自然界中分布广泛,开发潜力大。【目的】为了探究从杏树根际土壤分离的芽胞杆菌BJ-6的分类地位及其防病促生作用。【方法】本研究测定了芽胞杆菌BJ-6的形态和生理生化特征,通过PCR扩增了该菌的16S rRNA、gyrA和gyrB基因并进行了序列测定,通过多基因聚类分析确定其分类地位,平板对峙法测定抗菌谱,盆栽幼苗实验验证其对甜瓜细菌性果斑病的防治效果和对甜瓜的促生作用。【结果】结合形态特征、生理生化特性及多基因序列分析建立的系统进化树,确定菌株BJ-6为解淀粉芽胞杆菌(B. amyloliquefaciens),抑菌实验发现该菌株对15种植物病原菌均有不同程度的抑菌活性,盆栽实验结果发现该菌株发酵液对甜瓜细菌性果斑病有很好的防治效果,并对甜瓜苗有很好的促生作用。【结论】BJ-6属于解淀粉芽胞杆菌,抑菌谱广,且具有防病促生作用,具有进一步开发为生防制剂的前景。     

Genome-scale model for Clostridium acetobutylicum: Part I. Metabolic network resolution and analysis

A genome-scale metabolic network reconstruction for Clostridium acetobutylicum (ATCC 824) was carried out using a new semi-automated reverse engineering algorithm. The network consists of 422 intracellular metabolites involved in 552 reactions and includes 80 membrane transport reactions. The metabolic network illustrates the reliance of clostridia on the urea cycle, intracellular L-glutamate solute pools, and the acetylornithine transaminase for amino acid biosynthesis from the 2-oxoglutarate precursor. The semi-automated reverse engineering algorithm identified discrepancies in reaction network databases that are major obstacles for fully automated network-building algorithms. The proposed semi-automated approach allowed for the conservation of unique clostridial metabolic pathways, such as an incomplete TCA cycle. A thermodynamic analysis was used to determine the physiological conditions under which proposed pathways (e.g., reverse partial TCA cycle and reverse arginine biosynthesis pathway) are feasible. The reconstructed metabolic network was used to create a genome-scale model that correctly characterized the butyrate kinase knock-out and the asolventogenic M5 pSOL1 megaplasmid degenerate strains. Systematic gene knock-out simulations were performed to identify a set of genes encoding clostridial enzymes essential for growth in silico.     

Reconstruction of the central carbon metabolism of Aspergillus niger.

The topology of central carbon metabolism of Aspergillus niger was identified and the metabolic network reconstructed, by integrating genomic, biochemical and physiological information available for this microorganism and other related fungi. The reconstructed network may serve as a valuable database for annotation of genes identified in future genome sequencing projects on aspergilli. Based on the metabolic reconstruction, a stoichiometric model was set up that includes 284 metabolites and 335 reactions, of which 268 represent biochemical conversions and 67 represent transport processes between the different intracellular compartments and between the cell and the extracellular medium. The stoichiometry of the metabolic reactions was used in combination with biosynthetic requirements for growth and pseudo-steady state mass balances over intracellular metabolites for the quantification of metabolic fluxes using metabolite balancing. This framework was employed to perform an in silico characterisation of the phenotypic behaviour of A. niger grown on different carbon sources. The effects on growth of single reaction deletions were assessed and essential biochemical reactions were identified for different carbon sources. Furthermore, application of the stoichiometric model for assessing the metabolic capabilities of A. niger to produce metabolites was evaluated by using succinate production as a case study.     

EcoCyc: Encyclopedia of Escherichia coli genes and metabolism.

The encyclopedia of Escherichia coli genes and metabolism (EcoCyc) is a database that combines information about the genome and the intermediary metabolism of E.coli. The database describes 3030 genes of E.coli , 695 enzymes encoded by a subset of these genes, 595 metabolic reactions that occur in E.coli, and the organization of these reactions into 123 metabolic pathways. The EcoCyc graphical user interface allows scientists to query and explore the EcoCyc database using visualization tools such as genomic-map browsers and automatic layouts of metabolic pathways. EcoCyc can be thought of as an electronic review article because of its copious references to the primary literature, and as a (qualitative) computational model of E.coli metabolism. EcoCyc is available at URL http://ecocyc.PangeaSystems.com/ecocyc/     

Eco Cyc: encyclopedia of Escherichia coli genes and metabolism.

The EcoCyc database describes the genome and gene products of Escherichia coli, its metabolic and signal-transduction pathways, and its tRNAs. The database describes 4391 genes of E.coli, 695 enzymes encoded by a subset of these genes, 904 metabolic reactions that occur in E.coli, and the organization of these reactions into 129 metabolic pathways. The EcoCyc graphical user interface allows scientists to query and explore the EcoCyc database using visualization tools such as genomic-map browsers and automatic layouts of metabolic pathways. EcoCyc has many references to the primary literature, and is a (qualitative) computational model of E. coli metabolism. EcoCyc is available at URL http://ecocyc. PangeaSystems.com/ecocyc/     

EcoCyc: an encyclopedia of Escherichia coli genes and metabolism.

The encyclopedia of Escherichia coli genes and metabolism (EcoCyc) is a database that combines information about the genome and the intermediary metabolism of E.coli. It describes 2034 genes, 306 enzymes encoded by these genes, 580 metabolic reactions that occur in E.coli and the organization of these reactions into 100 metabolic pathways. The EcoCyc graphical user interface allows query and exploration of the EcoCyc database using visualization tools such as genomic map browsers and automatic layouts of metabolic pathways. EcoCyc spans the space from sequence to function to allow investigation of an unusually broad range of questions. EcoCyc can be thought of as both an electronic review article, because of its copious references to the primary literature, and as an in silico model of E.coli that can be probed and analyzed through computational means.     

Dissecting Leishmania infantum Energy Metabolism - A Systems Perspective

Leishmania infantum, causative agent of visceral leishmaniasis in humans, illustrates a complex lifecycle pertaining to two extreme environments, namely, the gut of the sandfly vector and human macrophages. Leishmania is capable of dynamically adapting and tactically switching between these critically hostile situations. The possible metabolic routes ventured by the parasite to achieve this exceptional adaptation to its varying environments are still poorly understood. In this study, we present an extensively reconstructed energy metabolism network of Leishmania infantum as an attempt to identify certain strategic metabolic routes preferred by the parasite to optimize its survival in such dynamic environments. The reconstructed network consists of 142 genes encoding for enzymes performing 237 reactions distributed across five distinct model compartments. We annotated the subcellular locations of different enzymes and their reactions on the basis of strong literature evidence and sequence-based detection of cellular localization signal within a protein sequence. To explore the diverse features of parasite metabolism the metabolic network was implemented and analyzed as a constraint-based model. Using a systems-based approach, we also put forth an extensive set of lethal reaction knockouts; some of which were validated using published data on Leishmania species. Performing a robustness analysis, the model was rigorously validated and tested for the secretion of overflow metabolites specific to Leishmania under varying extracellular oxygen uptake rate. Further, the fate of important non-essential amino acids in L. infantum metabolism was investigated. Stage-specific scenarios of L. infantum energy metabolism were incorporated in the model and key metabolic differences were outlined. Analysis of the model revealed the essentiality of glucose uptake, succinate fermentation, glutamate biosynthesis and an active TCA cycle as driving forces for parasite energy metabolism and its optimal growth. Finally, through our in silico knockout analysis, we could identify possible therapeutic targets that provide experimentally testable hypotheses.     

Zea mays iRS1563: a comprehensive genome-scale metabolic reconstruction of maize metabolism

The scope and breadth of genome-scale metabolic reconstructions have continued to expand over the last decade. Herein, we introduce a genome-scale model for a plant with direct applications to food and bioenergy production (i.e., maize). Maize annotation is still underway, which introduces significant challenges in the association of metabolic functions to genes. The developed model is designed to meet rigorous standards on gene-protein-reaction (GPR) associations, elementally and charged balanced reactions and a biomass reaction abstracting the relative contribution of all biomass constituents. The metabolic network contains 1,563 genes and 1,825 metabolites involved in 1,985 reactions from primary and secondary maize metabolism. For approximately 42% of the reactions direct literature evidence for the participation of the reaction in maize was found. As many as 445 reactions and 369 metabolites are unique to the maize model compared to the AraGEM model for A. thaliana. 674 metabolites and 893 reactions are present in Zea mays iRS1563 that are not accounted for in maize C4GEM. All reactions are elementally and charged balanced and localized into six different compartments (i.e., cytoplasm, mitochondrion, plastid, peroxisome, vacuole and extracellular). GPR associations are also established based on the functional annotation information and homology prediction accounting for monofunctional, multifunctional and multimeric proteins, isozymes and protein complexes. We describe results from performing flux balance analysis under different physiological conditions, (i.e., photosynthesis, photorespiration and respiration) of a C4 plant and also explore model predictions against experimental observations for two naturally occurring mutants (i.e., bm1 and bm3). The developed model corresponds to the largest and more complete to-date effort at cataloguing metabolism for a plant species.     

EcoCyc: Enyclopedia of Escherichia coli Genes and Metabolism.

The Encyclopedia of Genes and Metabolism (EcoCyc) is a database that combines information about the genome and the intermediary metabolism of Escherichia coli. It describes 2970 genes of E.coli, 547 enzymes encoded by these genes, 702 metabolic reactions that occur in E.coli and the organization of these reactions into 107 metabolic pathways. The EcoCyc graphical user interface allows scientists to query and explore the EcoCyc database using visualization tools such as genomic-map browsers and automatic layouts of metabolic pathways. EcoCyc spans the space from sequence to function to allow scientists to investigate an unusually broad range of questions. EcoCyc can be thought of as both an electronic review article because of its copious references to the primary literature, and as an in silicio model of E.coli metabolism that can be probed and analyzed through computational means.     

MetaCyc and AraCyc. Metabolic pathway databases for plant research

MetaCyc (http://metacyc.org) contains experimentally determined biochemical pathways to be used as a reference database for metabolism. In conjunction with the Pathway Tools software, MetaCyc can be used to computationally predict the metabolic pathway complement of an annotated genome. To increase the breadth of pathways and enzymes, more than 60 plant-specific pathways have been added or updated in MetaCyc recently. In contrast to MetaCyc, which contains metabolic data for a wide range of organisms, AraCyc is a species-specific database containing only enzymes and pathways found in the model plant Arabidopsis (Arabidopsis thaliana). AraCyc (http://arabidopsis.org/tools/aracyc/) was the first computationally predicted plant metabolism database derived from MetaCyc. Since its initial computational build, AraCyc has been under continued curation to enhance data quality and to increase breadth of pathway coverage. Twenty-eight pathways have been manually curated from the literature recently. Pathway predictions in AraCyc have also been recently updated with the latest functional annotations of Arabidopsis genes that use controlled vocabulary and literature evidence. AraCyc currently features 1,418 unique genes mapped onto 204 pathways with 1,156 literature citations. The Omics Viewer, a user data visualization and analysis tool, allows a list of genes, enzymes, or metabolites with experimental values to be painted on a diagram of the full pathway map of AraCyc. Other recent enhancements to both MetaCyc and AraCyc include implementation of an evidence ontology, which has been used to provide information on data quality, expansion of the secondary metabolism node of the pathway ontology to accommodate curation of secondary metabolic pathways, and enhancement of the cellular component ontology for storing and displaying enzyme and pathway locations within subcellular compartments.