Pathway analysis identifies perturbation of genetic networks induced by butyrate in a bovine kidney epithelial cell line

Ruminant species have evolved to metabolize the short-chain volatile fatty acids (VFA), acetate, propionate, and butyrate, to fulfill up to 70% of their nutrient energy requirements. The inherent VFA dependence of ruminant cells was exploited to add a level of increased sensitivity to the study of the role of butyrate gene-response elements in regulatory biochemical pathways. Global gene expression profiles of the bovine kidney epithelial cells regulated by sodium butyrate were investigated with high-density oligonucleotide microarrays. The detailed mechanisms by which butyrate induces cell growth arrest and apoptosis were analyzed using the Ingenuity Pathways Knowledge Base. The functional category and pathway analyses of the microarray data revealed that four canonical pathways (Cell cycles: G2/M DNA damage checkpoint, and pyrimidine metabolism; G1/S checkpoint regulation and purine metabolism) were significantly perturbed. The biologically relevant networks and pathways of these genes were also identified. IGF2, TGFB1, TP53, E2F4, and CDC2 were established as being centered in these genomic networks. The present findings provide a basis for understanding the full range of the biological roles and the molecular mechanisms that butyrate may play in animal cell growth, proliferation, and energy metabolisms. Electronic supplementary material Supplementary material is available in the online version of this article at and is accessible for authorized users. Mention of trade names or commercial products in this publication is solely for providing specific information and does not imply recommendation or endorsement by the US Department of Agriculture.     

A novel method for the quantitative assessment of the percolation of <Emphasis Type="Italic">Metarhizium anisopliae</Emphasis> conidia through horticultural growing media

Incorporation of fungal biological control agents (BCAs) into plant growing media has considerable ergonomic and economic benefits for growers. These agents usually give prophylactic control of target pests and diseases. However, their efficacy is dose dependent and loss of inoculum through leaching could influence the degree of protection they provide. At present there are no protocols to determine the loss of inoculum in the disparate growing media used in horticulture. We describe a method based on a nutrient leaching column to quantify leaching of conidia of the insect-pathogenic fungus Metarhizium anisopliae in a range of growing media. Conidia of this biocontrol agent were applied as a drench or premixed into the medium. Both the application method and growth medium influenced conidial leaching. Inoculum losses were greater following drench application than premixing (95% vs. 15%) irrespective of media type. Comparatively more inoculum was lost from bark and coir following drench application whereas losses were relatively high in peat following premixed application. The leaching column assay provided a simple and accurate method to quantify inoculum loss in real time. This assay could help determine leaching of other fungal BCAs in growing media. It could help in improving pest and disease control by optimizing the rate and frequency of conidial application as well in the design of more efficacious formulations.     

Modulation of cargo release from dense core granules by size and actin network

During regulated fusion of secretory granules with the plasma membrane, a fusion pore first opens and then dilates. The dilating pore allows cargo proteins from the dense core to be released into the extracellular space. Using real-time evanescent field fluorescence microscopy of live PC12 cells, it was determined how rapidly proteins of different sizes escape from single granules after fusion. Tissue plasminogen activator (tPA)-Venus is released 40-fold slower than the three times smaller neuropeptide Y [NPY-monomeric GFP (mGFP)]. An NPY bearing two mGFPs in tandem [NPY-(mGFP)₂] as an intermediate-sized fusion probe is released most slowly. Although, the time–course of release varies substantially for a given probe. Coexpression of β-actin, actin-related protein 3 or mAbp1 slowed the release of the two larger cargo molecules but did not affect release of NPY-mGFP or of the granule-membrane-bound probe Vamp-pHluorin. Additionally, high concentrations of cytochalasin D slowed release of the tPA-Venus. Together these results suggest that fusion pore dilation is not the only determinate of release time–course and that actin rearrangements similar to those mediating actin-mediated motility influences the time–course of release without directly interfering with the granule membrane to cell membrane connection.     

Research on WNN Greenhouse Temperature Prediction Method Based on GA

Temperature in agricultural production has a direct impact on the growth of crops. The emergence of greenhouses has improved the impact of the original unpredictable changes in temperature, but the temperature modeling of greenhouses is still the main direction at present. Neural network modeling relies on sufficient actual data to model greenhouses, but there is a widening gap in the application of different neural networks. This paper proposes a greenhouse temperature prediction model based on wavelet neural network with genetic algorithm (GA-WNN). With the simple network structure and the nonlinear adaptability of the wavelet basis function, wavelet neural network (WNN) improved model training speed and accuracy of prediction results compared with back propagation neural networks (BPNN), which was conducive to the prediction and control of short-term greenhouse temperature fluctuations. At the same time, the genetic algorithm (GA) was introduced to globally optimize the initial weights of the original model, which improved the insensitivity of the model to the initial weights and thresholds, and improved the training speed and stability of the model. Finally, simulation results for the greenhouse showed that the model training speed, prediction results accuracy and model stability of the GA-WNN in the greenhouse were improved in comparison to results obtained by the WNN and BPNN in the greenhouse.     

肠出血性大肠埃希菌O157:H7噬菌体FEC14和FEC19特性及污染牛肉杀菌潜在应用探究

【背景】肠出血性大肠埃希菌O157:H7是重要的食源性致病菌之一,并且其耐药性越来越严重,寻找裂解性强噬菌体用于防治大肠埃希菌感染具有广阔的应用前景。【目的】从环境中分离鉴定能特异裂解大肠埃希菌O157:H7的噬菌体,通过对生物学特性及裂解细菌功效的探究,为其在食品安全防控中提供理论依据和研究基础。【方法】通过双层平板法分离并纯化噬菌体,透射电镜观察噬菌体形态,测定最佳感染复数、一步生长曲线、pH稳定性、温度稳定性,对噬菌体进行全基因组测序及噬菌体裂解细菌功效。【结果】2株大肠埃希菌O157:H7噬菌体FEC14和FEC19的头部皆呈二十面体立体对称,FEC14头部直径约80nm,尾丝呈星形,FEC19头部直径约58 nm,尾丝呈针形;噬菌体FEC14的最佳感染复数为0.001,潜伏期为15 min,裂解期为65 min,平均暴发量为156 PFU/cell,FEC19的最佳感染复数为0.1,潜伏期为10 min,裂解期为80 min,平均暴发量为800 PFU/cell;噬菌体FEC14能在60℃、pH 4.0-11.0条件下存活,噬菌体FEC19在70℃、pH5.0-9.0条件下存...     

神经嵴细胞和神经嵴病及其致病机制的研究进展

神经嵴细胞(neural crest cells,NCCs)是一类脊椎动物特有的可迁移的多能干细胞,其可分化为软骨细胞、神经元和黑色素细胞等多种类型细胞。NCCs的形成、迁移和分化受到严格调控,任何扰乱NCCs发育的因素都可导致胚胎发育畸形。由神经嵴细胞发育异常所导致的一系列疾病统称为神经嵴病(neurocristopathies,NCPs)。NCPs种类繁多且表型复杂,可累及人体多个部位(颅面部、心脏、肠胃和皮肤等),严重危害患者的身体机能和心理健康。NCPs占所有出生缺陷患儿的1/3,遗传因素是导致NCPs的主要风险因素,但环境风险因子以及基因–环境交互作用异常也可导致NCPs。本文对神经嵴细胞和神经嵴病及其致病机制进行综述,为系统认知神经嵴细胞发育以及神经嵴病提供参考,为了解神经嵴病的病因以及开展有效防控提供科学支撑。     

Fragment molecular orbital calculations for biomolecules

Exploring biomolecule behavior, such as proteins and nucleic acids, using quantum mechanical theory can identify many life science phenomena from first principles. Fragment molecular orbital (FMO) calculations of whole single particles of biomolecules can determine the electronic state of the interior and surface of molecules and explore molecular recognition mechanisms based on intermolecular and intramolecular interactions. In this review, we summarized the current state of FMO calculations in drug discovery, virology, and structural biology, as well as recent developments from data science.