Isolation and identification of an endophytic strain of Fusarium oxysporum producing podophyllotoxin from Juniperus recurva

Podophyllotoxin, a well-known naturally occurring aryltetralin lignan occurs in few plant species that is used as a precursor for the chemical synthesis of the anticancer drugs like etoposide, teniposide and etopophose phosphate. The availiability of this lignan is becoming increasingly limited because of the scarce occurance of its natural sources and also because synthetic approaches for its production are still commercially unacceptable. This paper reports first time the production of podophyllotoxin by an endophytic fungus Fusarium oxysporum isolated from the medicinal plant Juniperus recurva. Further confirmation and quantification of podophyllotoxin was performed by HPLC, LC-MS, and LC-MS/MS.     

Muscarinic receptors: A comparative analysis of structural features and binding modes through homology modelling and molecular docking

Three-dimensional models of the five human muscarinic receptors were obtained from their known sequences. Homology modelling based on the crystallographic structure of bovine rhodopsin yielded models compatible with known results from site-directed mutagenesis studies. The only exceptions were the cytoplasmic loop 3 (CL3) in the five receptors, and the large C-terminal domain in M(1). Here, homology modelling with other closely related proteins allowed to solve these gaps. A detailed comparative discussion of the five models is given. The second part of the work involved docking experiments with the physiological ligand acetylcholine, again yielding results entirely compatible with results from mutagenesis experiments. The study revealed analogies and differences between the five receptors in the residues, and interactions leading to the recognition and binding of acetylcholine.     

Cloning,expression, molecular modelling and docking analysis of glutathione transferase from Saccharum officinarum

Sugarcane yield and quality are affected by a number of biotic and abiotic stresses. In response to such stresses, plants may increase the activities of some enzymes such as glutathione transferase (GST), which are involved in the detoxification of xenobiotics. Thus, a sugarcane GST was modelled and molecular docked using the program LIGIN to investigate the contributions of the active site residues towards the binding of reduced glutathione (GSH) and 1‐chloro‐2,4‐dinitrobenzene (CDNB). As a result, W13 and I119 were identified as key residues for the specificity of sugarcane GSTF1 (SoGSTF1) towards CDNB. To obtain a better understanding of the catalytic specificity of sugarcane GST (SoGSTF1), two mutants were designed, W13L and I119F. Tertiary structure models and the same docking procedure were performed to explain the interactions between sugarcane GSTs with GSH and CDNB. An electron‐sharing network for GSH interaction was also proposed. The SoGSTF1 and the mutated gene constructions were cloned and expressed in Escherichia coli and the expressed protein purified. Kinetic analyses revealed different K_m values not only for CDNB, but also for GSH. The K_m values were 0.2, 1.3 and 0.3 mM for GSH, and 0.9, 1.2 and 0.5 mM for CDNB, for the wild type, W13L mutant and I119F mutant, respectively. The V_max values were 297.6, 224.5 and 171.8 µmol min^?1 mg^?1 protein for GSH, and 372.3, 170.6 and 160.4 µmol min^?1 mg^?1 protein for CDNB.     

尖孢镰刀菌FoHeli转座元件的结构特征及功能验证

Helitron是一种广泛存在于真核生物中的可移动遗传元件。与其他转座子不同,自主Helitron元件可编码具有复制引发（Rep）和解旋酶（Hel）结构域的转座酶,并通过滚环复制的方式在基因组中进行扩张。本研究对9种尖孢镰刀菌中的自主Helitron元件进行系统分析,结果表明尖孢镰刀菌中存在两类自主Helitron元件FoHeli1与FoHeli2。其中FoHeli1成员间序列高度相似,并具有明晰的边界特征：3’端为保守的“TATTTT”序列,其上游可形成稳定的发夹结构,且发夹上游可与5’端形成12bp的反向互补结构。基于上述分析结果,从尖孢镰刀菌Fo4287菌株中克隆获得完整的FoHeli1元件,并通过构建双元转座系统及PEG介导的原生质体转化,证明尖孢镰刀菌中的FoHeli元件可在禾谷镰刀菌PH-1菌株的基因组中发生跳转。     

Constitutive expression, purification and characterization of a phosphoglucomutase from Fusarium oxysporum

The phosphoglucomutase gene from a wild type Fusarium oxysporum strain (F3), was homologously expressed, under the control of the constitutive promoter of gpdA of Aspergillus nidulans. The transformant produced elevated levels of phosphoglucomutase activity compared to the wild type, a fact that facilitated the subsequent purification procedure. The enzyme (FoPGM) was purified to homogeneity applying three anion exchange and one gel filtration chromatography steps. The native enzyme revealed a monomeric structure with a molecular mass of 60 kDa, while the isoelectric point was 3.5. FoPGM was active in pH ranged from 6.0 to 8.0, with an optimum using 3-(N-morpholino)propanesulfonic acid buffer at 7.0, while loss of activity was observed when phosphate buffer was used in the above mentioned pH range. The optimal temperature for activity was 45°C but the enzyme became unstable at temperatures above 40°C. FoPGM requires the presence of a divalent cation for its function with maximum activity being obtained with Co(2+). The apparent K(m) for Co(2+) was found to be 10 μM. The enzyme was also active with other divalent metal ions such as Mn(2+), Mg(2+), Ni(2+) and Ca(2+) but to a lesser extent. The following kinetic constants were determined: v(max), 0.74 μmol mg(protein)(-1)min(-1); k(cat), 44.2 min(-1); K(m)(G1P), 0.10mM; K(m)(G1,6 diP), 1.03 μM; k(cat)/K(m)(G1P), 443 mM(-1)min(-1) and k(cat)/K(m)(G1,6 diP), 42,860 mM(-1)min(-1). The enzyme was considered to follow a Ping Pong substituted enzyme or enzyme isomerization mechanism.     

Induction, purification, and characterization of two extracellular alpha-L-arabinofuranosidases from Fusarium oxysporum

In the presence of L-arabinose as sole carbon source, Fusarium oxysporum produces two alpha-L-arabinofuranosidases (ABFs) named ABF1 and ABF2, with molecular masses of 200 and 180 kDa, respectively. The two F. oxysporum proteins have been purified to homogeneity. The purified enzymes are composed of three equal subunits and are neutral proteins with pIs of 6.0 and 7.3 for ABF1 and ABF2, respectively. With p-nitrophenyl alpha-L-arabinofuranoside (pNPA) as the substrate, ABF1 and ABF2 exhibited Km values of 0.39 and 0.28 mmol.L(-1), respectively, and Vmax values of 1.6 and 4.6 micromol.min(-1).(mg of protein)(-1), respectively, and displayed optimal activity at pH 6.0 and 50-60 degrees C. ABFs released arabinose only from sugar beet arabinan and not from wheat soluble and insoluble arabinoxylans. The enzymes were not active on substrates containing ferulic acid ester linked to C-5 and C-2 linkages of pNPA showing that phenolic substituents of pNPA sterically hindered the action of ABFs.     

Purification and characterization of invertase isozymes from Fusarium oxysporum

Fusarium invertase appears to exist in two forms, mycelial (P-1) and conidial (P-2) types. They were purified and partially characterized, but their specific activities were too low when compared with yeast and Neurospora invertases. Present studies describe a method for isolation of highly purified enzymes and their properties. The enzymes are homogeneous by several criteria. Estimation of molecular weights revealed the subunit structure of each invertase, and the association-dissociation of subunits seem to occur as temperature varies. Amino acid compositions and other properties have been studied. The two invertases are glycoproteins which contain 36% (P-1) and 23% (P-2) carbohydrates (predominantly mannose with smaller percentages of glucose, galactose, N-acetylglucosamine and N-acetylgalactosamine). Comparison with the properties of the previous preparations is also described.     

Regulation of pyruvate kinases from Fusarium oxysporum.

Two types of pyruvate kinases were found in Fusarium oxysporum. One type (inducible) was present mainly during the early stages of growth on glucose or sucrose and displayed Michaelis-Menten kinetics with respect to phosphoenolpyruvate and adenosine diphosphate. The major type (constitutive) was present under all conditions of growth and displayed in the absence of potassium ions, a sigmoidal substrate saturation curve when phosphoenolpyruvate was used as the variable substrate. In the presence of potassium ions the saturation curve for phosphoenolpyruvate exhibits a plateau at half-maximal velocity. The effects of various metabolites on the activity of the inducible and constitutive kinases were also studied. Fructose-1,6-diphosphate, cyclic AMP, acetyl CoA, tryptophan, and phenylalanine had no effect on the activity of the enzymes. Citrate was a potent inhibitor of the constitutive pyruvate kinase activity and increased the sigmoidicity of the saturation curve for phosphoenolpyruvic acid. In the presence of K+, the bimodal plot observed in the absence of citrate gradually changed to a hyperbolic shape as the concentration of citric acid was increased. In the presence of K+ and ADP as the variable substrate citric acid converted the hyperbolic plot to a sigmoidal one. Citrate had no effect on the inducible enzyme.     

skippy,a retrotransposon from the fungal plant pathogen Fusarium oxysporum

A retrotransposon from the fungal plant pathogen Fusarium oxysporum f. sp. lycopersici has been isolated and characterized. The element, designated skippy (skp) is 7846 by in length, flanked by identical long terminal repeats (LTR) of 429 by showing structural features characteristic of retroviral and retrotransposon LTRs. Target-site duplications of 5 bp were found. Two long overlapping open reading frames (ORF) were identified. The first ORF, 2562 by in length, shows homology to retroviral gag genes. The second ORF, 3888 bp in length, has homology to the protease, reverse transciptase. RNase H and integrase domains of retroelement pol genes in that order. Sequence comparisons and the order of the predicted proteins from skippy indicate that the element is closely related to the gypsy family of LTR-retrotransposons. The element is present in similar copy numbers in the two races investigated, although RFLP analysis showed differences in banding patterns. The number of LTR sequences present in the genome is higher than the number of copies of complete elements, indicating excision by homologous recombination between LTR sequences.     

Computational methods for protein identification from mass spectrometry data

Protein identification using mass spectrometry is an indispensable computational tool in the life sciences. A dramatic increase in the use of proteomic strategies to understand the biology of living systems generates an ongoing need for more effective, efficient, and accurate computational methods for protein identification. A wide range of computational methods, each with various implementations, are available to complement different proteomic approaches. A solid knowledge of the range of algorithms available and, more critically, the accuracy and effectiveness of these techniques is essential to ensure as many of the proteins as possible, within any particular experiment, are correctly identified. Here, we undertake a systematic review of the currently available methods and algorithms for interpreting, managing, and analyzing biological data associated with protein identification. We summarize the advances in computational solutions as they have responded to corresponding advances in mass spectrometry hardware. The evolution of scoring algorithms and metrics for automated protein identification are also discussed with a focus on the relative performance of different techniques. We also consider the relative advantages and limitations of different techniques in particular biological contexts. Finally, we present our perspective on future developments in the area of computational protein identification by considering the most recent literature on new and promising approaches to the problem as well as identifying areas yet to be explored and the potential application of methods from other areas of computational biology.     

A benchmark testing ground for integrating homology modeling and protein docking

Protein docking procedures carry out the task of predicting the structure of a protein–protein complex starting from the known structures of the individual protein components. More often than not, however, the structure of one or both components is not known, but can be derived by homology modeling on the basis of known structures of related proteins deposited in the Protein Data Bank (PDB). Thus, the problem is to develop methods that optimally integrate homology modeling and docking with the goal of predicting the structure of a complex directly from the amino acid sequences of its component proteins. One possibility is to use the best available homology modeling and docking methods. However, the models built for the individual subunits often differ to a significant degree from the bound conformation in the complex, often much more so than the differences observed between free and bound structures of the same protein, and therefore additional conformational adjustments, both at the backbone and side chain levels need to be modeled to achieve an accurate docking prediction. In particular, even homology models of overall good accuracy frequently include localized errors that unfavorably impact docking results. The predicted reliability of the different regions in the model can also serve as a useful input for the docking calculations. Here we present a benchmark dataset that should help to explore and solve combined modeling and docking problems. This dataset comprises a subset of the experimentally solved ‘target’ complexes from the widely used Docking Benchmark from the Weng Lab (excluding antibody–antigen complexes). This subset is extended to include the structures from the PDB related to those of the individual components of each complex, and hence represent potential templates for investigating and benchmarking integrated homology modeling and docking approaches. Template sets can be dynamically customized by specifying ranges in sequence similarity and in PDB release dates, or using other filtering options, such as excluding sets of specific structures from the template list. Multiple sequence alignments, as well as structural alignments of the templates to their corresponding subunits in the target are also provided. The resource is accessible online or can be downloaded at http://cluspro.org/benchmark , and is updated on a weekly basis in synchrony with new PDB releases. Proteins 2016; 85:10–16. © 2016 Wiley Periodicals, Inc.     

Mycotoxin production by Fusarium oxysporum and Fusarium sporotrichioides isolated from Baccharis spp. from Brazil

Fusarium oxysporum isolated from roots of and soil around Baccharis species from Brazil produced the trichothecenes T-2 toxin, HT-2 toxin, diacetoxyscirpenol, and 3'-OH T-2 (TC-1), whereas Fusarium sporotrichioides from the same source produced T-2 toxin, HT-2 toxin, acetyl T-2, neosolaniol, TC-1, 3'-OH HT-2 (TC-3), iso-T-2, T-2 triol, T-2 tetraol, and the nontrichothecenes moniliformin and fusarin C. Several unknown toxins were found but not identified. Not found were macrocyclic trichothecenes, zearalenone, wortmannin, and fusarochromanone (TDP-1).     

Purification and properties of nitroalkane oxidase from Fusarium oxysporum.

A nitroalkane-oxidizing enzyme, which was inducibly formed by addition of nitroethane to the medium was purified to homogeneity from an extract of Fusarium oxysporum (IFO 5942) with an overall yield of about 20%. The enzyme catalyzed the oxidative denitrification of 1-nitropropane as follows: CH2(NO2)CH2CH3 + O2 + H2O leads to OHCCH2CH3 + HNO2 + H2O2. In addition to 1-nitropropane, 3-nitro-2-pentanol, 2-nitropropane, and nitrocyclohexane are good substrates; the enzyme is designated "nitroalkane oxidase" (EC class 1.7.3). The enzyme has a molecular weight of approximately 185,000 and consists of four subunits identical in molecular weight (47,000). Flavin adenine dinucleotide was required for the enzyme activity and could be replaced in part by riboflavin 5'-phosphate. The maximum reactivity was found at about pH 8.0. The enzyme was inhibited significantly by HgCl2, KCN, p-chloromercuribenzoate, and N-ethylmaleimide. The Michaelis constants are as follows: 1-nitropropane, 1.54 mM; 2-nitropropane, 7.40 mM; nitroethane, 1.00 mM; 3-nitro-2-pentanol, 3.08 mM; nitrocyclohexane, 0.90 mM; and flavin adenine dinucleotide, 1.33 micrometer.     

基于多基因序列分析对尖孢镰孢菌古巴专化型（香蕉枯萎病菌）生理小种的鉴定

由尖孢镰孢菌古巴专化型Fusarium oxysporum f. sp. cubense, Foc引起的香蕉枯萎病是香蕉生产上的毁灭性病害,自1996年以来已对我国华南地区香蕉生产造成了严重危害。传统上香蕉枯萎病菌生理小种的鉴定主要采用人工接种鉴别寄主尔后测定病菌致病性的方法,但实验周期长,且受季节影响。以来自澳大利亚的香蕉枯萎病菌生理小种1号（BW1）、2号（Race 2）、3号（Race 3）以及亚热带4号（BW4）为对照,对分离自我国华南地区主要香蕉产区（广东、广西、海南、福建等省区）的14株香蕉枯萎病菌的单孢菌株进行致病性测定,并结合热带4号小种（TR4）和亚热带4号小种（ST4）的分子特异检测方法,确定其生理小种类型;同时,利用ITS、TEF-1α、IGS、histone H3、β-tubulin等 5个主要用于镰孢菌系统发育学研究的基因,研究不同地区不同来源的Foc菌株之间的亲缘关系及其与非病原尖孢镰孢菌的关系,并评价这5个基因在香蕉枯萎病菌生理小种鉴定上的应用价值。研究结果表明：（1）来源于我国华南地区的4号小种主要为热带4号小种;（2）TEF-1α、IGS、histone H3等3个基因片段能够将Foc中不同生理小种的菌株划分成不同的系统发育谱系,与致病性测定的结果具有对应关系,也能较好地反映尖孢镰孢菌种内菌株的亲缘关系,可用于香蕉枯萎病菌生理小种鉴定;（3）我国Foc 1号生理小种的遗传多样性高于4号生理小种,Foc 1号生理小种的菌系与来自香蕉果实上的非病原尖孢镰孢菌的亲缘关系比其与Foc 4号生理小种的菌系的亲缘关系更近。     

A comparative analysis of binding sites between human PKD1 and PKC1 based on homology modelling,molecular dynamics simulation and docking studies

Human protein kinase C1 (PKC1) and protein kinase D1 (PKD1) are two closely related enzymes, which have emerged as key regulators of many important cellular processes. In this study, 3D models of human PKC1 and PKD1 were constructed based on homology modelling and molecular dynamics simulations. A novel 2,6-naphthyridine is a potent and selective inhibitor for human PKD1 and not for PKC1, which was docked into them and positioned in their active sites with different orientations. By comparison of active site architectures between human PKC1 and PKD1, the possible reasons affecting their inhibitor binding were proposed. In addition, some residues are identified as critical residues for inhibitor binding.     

利用脂肪酸生物标记对尖镰孢寄主专化型的快速鉴定

尖镰孢寄主范围广、遗传差异大,其种下存在多种寄主专化型。对尖镰孢寄主专化型的快速鉴定可为科学制定植物病害防控策略提供依据。利用Sherlock MIS脂肪酸鉴定系统对分离自番茄、棉花、黄瓜、茄子等4种寄主专化型的18株尖镰孢进行脂肪酸成分测定,共检测到10种脂肪酸。运用SPSS软件中的PCA法对被检测到的脂肪酸进行主成分分析,确定了18:1CIS9（W9）[X1],18:2 CIS 9,12/18:0a[X2]和18:00[X3]等3个脂肪酸为其主成分。利用Bayes逐步判别法建立了尖镰孢4种不同寄主专化型判别模型为Y1=-157.750+2.809X1+3.391X2+8.099X3;Y2=-178.343+0.586X1+7.587X2- 0.214X3;Y3=-129.132+2.749X1+4.163X2+4.476X3;Y4=-201.307+2.016X1+7.345X2+2.400X3。通过对43株未知寄主专化型菌株主成分脂肪酸的测定,利用判别法对尖镰孢进行判定,结果发现有40株与原寄主来源一致,判对率达93%。表明脂肪酸生物标记法可用于尖镰孢寄主专化型的快速鉴定。     

Ligand-supported homology modelling of protein binding-sites using knowledge-based potentials

A new approach, MOBILE, is presented that models protein binding-sites including bound ligand molecules as restraints. Initially generated, homology models of the target protein are refined iteratively by including information about bioactive ligands as spatial restraints and optimising the mutual interactions between the ligands and the binding-sites. Thus optimised models can be used for structure-based drug design and virtual screening. In a first step, ligands are docked into an averaged ensemble of crude homology models of the target protein. In the next step, improved homology models are generated, considering explicitly the previously placed ligands by defining restraints between protein and ligand atoms. These restraints are expressed in terms of knowledge-based distance-dependent pair potentials, which were compiled from crystallographically determined protein-ligand complexes. Subsequently, the most favourable models are selected by ranking the interactions between the ligands and the generated pockets using these potentials. Final models are obtained by selecting the best-ranked side-chain conformers from various models, followed by an energy optimisation of the entire complex using a common force-field. Application of the knowledge-based pair potentials proved efficient to restrain the homology modelling process and to score and optimise the modelled protein-ligand complexes. For a test set of 46 protein-ligand complexes, taken from the Protein Data Bank (PDB), the success rate of producing near-native binding-site geometries (rmsd<2.0A) with MODELLER is 70% when the ligand restrains the homology modelling process in its native orientation. Scoring these complexes with the knowledge-based potentials, in 66% of the cases a pose with rmsd <2.0A is found on rank 1. Finally, MOBILE has been applied to two case studies modelling factor Xa based on trypsin and aldose reductase based on aldehyde reductase.