工业真菌高效产酶突变技术与高产机制

工业真菌是酶制剂的重要生产微生物,其菌种改良具有重要应用价值。综述了产酶工业真菌的应用、突变育种技术进展和高效产酶机制的分析策略,尤其是基于组学水平的基因组、转录组和蛋白质组的分析等,最后总结了高产机制在菌株改良上的应用。     

炭样小单孢菌中抗生素生物合成相关蛋白的筛选

目的：筛选一株具有广谱抗菌活性的炭样小单孢菌JXNU-1中核苷类抗生素生物合成相关蛋白。方法：通过iTRAQ定量蛋白质组学技术对JXNU-1菌体生长期（36h）和产物合成期（108h）的差异蛋白进行鉴定和功能分析。结果：基于iTRAQ定量蛋白质组学技术共鉴定出炭样小单孢菌总蛋白质2390个,差异表达蛋白172个,在产物合成期（108h）表达上调76个、表达下调96个。通过蛋白GO和COG注释等功能分析,筛选出12个与抗生素合成密切相关蛋白和5个生物合成基因簇。结论：利用iTRAQ技术筛选出炭样小单孢菌JXNU-1的抗生素合成相关蛋白,为阐明该抗生素的生物合成机制奠定实验依据。     

Proteomic analysis of highly purified peroxisomes from etiolated soybean cotyledons

To identify previously unknown peroxisomal proteins, we establishedan optimized method for isolating highly purified peroxisomesfrom etiolated soybean cotyledons using Percoll density gradientcentrifugation followed by iodixanol density gradient centrifugation.Proteins in highly purified peroxisomes were separated by two-dimensionalPAGE. We performed peptide mass fingerprinting of proteins separatedin the gel with matrix-assisted laser desorption ionizationtime-of-flight mass spectrometry and used the peptide mass fingerprintsto search a non-redundant soybean expressed sequence tag database.We succeeded in assigning 92 proteins to 70 sequences in thedatabase. Among them, proteins encoded by 30 sequences werejudged to be located in peroxisomes. These included enzymesfor fatty acid β-oxidation, the glyoxylate cycle, photorespiratoryglycolate metabolism, stress response and metabolite transport.We also show experimental evidence that plant peroxisomes containa short-chain dehydrogenase/reductase family protein, enoyl-CoAhydratase/isomerase family protein, 3-hydroxyacyl-CoA dehydrogenase-likeprotein and a voltage-dependent anion-selective channel protein.     

Characterization of inducible cold-active β-glucosidases from the psychrotolerant bacterium Shewanella sp. G5 isolated from a sub-Antarctic ecosystem

The psychrotolerant bacterium Shewanella sp. G5 was used to study differential protein expression on glucose and cellobiose as carbon sources in cold-adapted conditions. This strain was able to growth at 4 °C, but reached the maximal specific growth rate at 37 °C, exhibiting similar growing rates values with glucose (μ: 0.4 h⁻¹) and cellobiose (μ: 0.48 h⁻¹). However, it grew at 15 °C approximately in 30 h, with specific growing rates of 0.25 and 0.19 h⁻¹ for cellobiose and glucose, respectively. Thus, this temperature was used to provide conditions related to the environment where the organism was originally isolated, the intestinal content of Munida subrrugosa in the Beagle Channel, Fire Land, Argentina. Cellobiose was reported as a carbon source more frequently available in marine environments close to shore, and its degradation requires the enzyme β-glucosidase. Therefore, this enzymatic activity was used as a marker of cellobiose catabolism. Zymogram analysis showed the presence of cold-adapted β-glucosidase activity bands in the cell wall as well as in the cytoplasm cell fractions. Two-dimensional gel electrophoresis of the whole protein pattern of Shewanella sp. G5 revealed 59 and 55 different spots induced by cellobiose and glucose, respectively. Identification of the quantitatively more relevant proteins suggested that different master regulation schemes are involved in response to glucose and cellobiose carbon sources. Both, physiological and proteomic analyses could show that Shewanella sp. G5 re-organizes its metabolism in response to low temperature (15 °C) with significant differences in the presence of these two carbon sources.     

Proteomic detection of proteins involved in perchlorate and chlorate metabolism

Mass spectrometry and a time-course cell lysis method were used to study proteins involved in perchlorate and chlorate metabolism in pure bacterial cultures and environmental samples. The bacterial cultures used included Dechlorosoma sp. KJ, Dechloromonas hortensis, Pseudomonas chloritidismutans ASK-1, and Pseudomonas stutzeri. The environmental samples included an anaerobic sludge enrichment culture from a sewage treatment plant, a sample of a biomass-covered activated carbon matrix from a bioreactor used for treating perchlorate-contaminated drinking water, and a waste water effluent sample from a paper mill. The approach focused on detection of perchlorate (and chlorate) reductase and chlorite dismutase proteins, which are the two central enzymes in the perchlorate (or chlorate) reduction pathways. In addition, acetate-metabolizing enzymes in pure bacterial samples and housekeeping proteins from perchlorate (or chlorate)-reducing microorganisms in environmental samples were also identified.     

Generalized lattice graphs for 2D-visualization of biological information

Several graph representations have been introduced for different data in theoretical biology. For instance, complex networks based on Graph theory are used to represent the structure and/or dynamics of different large biological systems such as protein-protein interaction networks. In addition, Randic, Liao, Nandy, Basak, and many others developed some special types of graph-based representations. This special type of graph includes geometrical constrains to node positioning in space and adopts final geometrical shapes that resemble lattice-like patterns. Lattice networks have been used to visually depict DNA and protein sequences but they are very flexible. However, despite the proved efficacy of new lattice-like graph/networks to represent diverse systems, most works focus on only one specific type of biological data. This work proposes a generalized type of lattice and illustrates how to use it in order to represent and compare biological data from different sources. We exemplify the following cases: protein sequence; mass spectra (MS) of protein peptide mass fingerprints (PMF); molecular dynamic trajectory (MDTs) from structural studies; mRNA microarray data; single nucleotide polymorphisms (SNPs); 1D or 2D-Electrophoresis study of protein polymorphisms and protein-research patent and/or copyright information. We used data available from public sources for some examples but for other, we used experimental results reported herein for the first time. This work may break new ground for the application of Graph theory in theoretical biology and other areas of biomedical sciences.     

An efficient extraction method to enhance analysis of low abundant proteins from soybean seed

Large amounts of the major storage proteins, β-conglycinin and glycinin, in soybean (Glycine max) seeds hinder the isolation and characterization of less abundant seed proteins. We investigated whether isopropanol extraction could facilitate resolution of the low abundant proteins, different from the main storage protein fractions, in one-dimensional polyacrylamide gel electrophoresis (1D-PAGE) and two-dimensional polyacrylamide gel electrophoresis (2D-PAGE). 1D-PAGE of proteins extracted by different concentrations (10%, 20%, 30%, 40%, 50%, 60%, 70% and 80%) of isopropanol showed that greater than 30% isopropanol was suitable for preferential enrichment of low abundant proteins. Analysis of 2D-PAGE showed that proteins which were less abundant or absent by the conventional extraction procedure were clearly seen in the 40% isopropanol extracts. Increasing isopropanol concentration above 40% resulted in a decrease in the number of less abundant protein spots. We have identified a total of 107 protein spots using matrix-assisted laser desorption/ionization time of flight mass spectrophotometry (MALDI-TOF-MS) and liquid chromatography-mass spectrometry (LC-MS/MS). Our results suggest that extraction of soybean seed powder with 40% isopropanol enriches lower abundance proteins and is a suitable method for 2D-PAGE separation and identification. This methodology could potentially allow the extraction and characterization of low abundant proteins of other legume seeds containing highly abundant storage proteins.     

Venoms, venomics, antivenomics

Venoms comprise mixtures of peptides and proteins tailored by Natural Selection to act on vital systems of the prey or victim. Here we review our proteomic protocols for uncoiling the composition, immunological profile, and evolution of snake venoms. Our long-term goal is to gain a deep insight of all viperid venom proteomes. Knowledge of the inter- and intraspecies ontogenetic, individual, and geographic venom variability has applied importance for the design of immunization protocols aimed at producing more effective polyspecific antivenoms. A practical consequence of assessing the cross-reactivity of heterologous antivenoms is the possibility of circumventing the restricted availability of species-specific antivenoms in some regions. Further, the high degree of target specificity makes toxins valuable scaffolds for drug development.     

Biomarker discovery in asthma‐related inflammation and remodeling

Asthma is a complex inflammatory disease of airways. A network of reciprocal interactions between inflammatory cells, peptidic mediators, extracellular matrix components, and proteases is thought to be involved in the installation and maintenance of asthma‐related airway inflammation and remodeling. To date, new proteic mediators displaying significant activity in the pathophysiology of asthma are still to be unveiled. The main objective of this study was to uncover potential target proteins by using surface‐enhanced laser desorption/ionization‐time of flight‐mass spectrometry (SELDI‐TOF‐MS) on lung samples from mouse models of allergen‐induced airway inflammation and remodeling. In this model, we pointed out several protein or peptide peaks that were preferentially expressed in diseased mice as compared to controls. We report the identification of different five proteins: found inflammatory zone 1 or RELMα (FIZZ‐1), calcyclin (S100A6), clara cell secretory protein 10 (CC10), Ubiquitin, and Histone H4.     

LuMPIS – A modified luminescence‐based mammalian interactome mapping pull‐down assay for the investigation of protein–protein interactions encoded by GC‐low ORFs

The GC content is highly variable among the genomes of different organisms. It has been shown that recombinant gene expression in mammalian cells is much more efficient when GC‐rich coding sequences of a certain protein are used. In order to study protein–protein interactions in Varicella zoster virus, a GC‐low herpesvirus, we have developed a novel luminescence‐based maltose‐binding protein pull‐down interaction screening system (LuMPIS) that is able to overcome the impaired protein expression levels of GC‐low ORFs in mammalian expression systems.