Effect of cellulases on spontaneous fusion of maize protoplasts

Summary The effect of protoplast-isolating enzymes on spontaneous fusion of maize protoplasts (Zea mays L. cv. Black Mexican Sweet) was investigated using a convenient ethidium bromide nuclear staining procedure. After 2–2.5 hour digestion in an enzyme solution containing 1% Cellulysin, 0.5% Rhozyme, and 0.02% Pectolyase Y-23, 50–75% of the protoplasts contained multiple nuclei. The cellulase Cellulysin was identified as the factor causing the spontaneous protoplast fusion; when Cellulysin was replaced by CELF cellulase, most protoplasts were uninucleate. Calcium and other components in the enzyme solution did not affect spontaneous fusion. Cellulysin also increased the percentage of multinucleate protoplasts from rice and asparagus suspensions. Presence of multiple nuclei might affect genetic manipulations involving protoplasts.     

基于形态学空间格局分析和最小累积阻力模型的城市生态安全格局构建——以厦门市为例

城市化进程的快速发展加剧了生态系统的退化。如何扭转生态系统的退化,同时满足人类日益增长的生态系统服务需求,成为当前的一个研究热点。生态安全格局的构建在一定程度上可平衡城市发展与生态环境保护之间的关系,对于保障区域生态安全、提升生态系统功能具有重大意义。以厦门市为例,基于“生态源地识别—阻力面构建—生态廊道提取”的基本框架构建陆域生态安全格局。结合生态系统服务重要性评价和形态学空间格局分析识别生态源地,该方法兼顾了生态结构和功能,使得所识别的生态源地更具全面性。选取土地利用类型、高程和坡度构建生态综合阻力面,并用人类居住合成指数修正生态综合阻力面,以减少主观赋值的影响,识别各土地利用类型内部的差异,使生态阻力面的构建更加合理。在此基础上通过最小累积阻力模型提取生态廊道,利用重力模型量化潜在生态廊道的相对重要性,并根据重力模型结果划分重要性等级。研究结果表明,厦门市的生态安全格局由14个生态源地、21条生态廊道、15个生态节点及若干个踏脚石所组成。生态源地主要集中在研究区的西部和北部,以林地和草地为主,面积合计为558.64 km²。生态廊道长约159.40 km,其...     

Resveratrol induces AMPK and mTOR signaling inhibition-mediated autophagy and apoptosis in multiple myeloma cells

Resveratrol,a natural compound extracted from the skins of grapes,berries,or other fruits,has been shown to have anti-tumor effects against multiple myeloma(MM)...     

CLP gene family,a new gene family of Cotesia vestalis bracovirus inhibits melanization of Plutella xylostella hemolymph

Polydnaviruses (PDVs) are obligatory symbionts of parasitoid wasps and play an important role in suppressing host immune defenses. Although PDV genes that inhibit host melanization are known in Microplitis bracovirus, the functional homologs in Cotesia bracoviruses remain unknown. Here, we find that Cotesia vestalis bracovirus (CvBV) can inhibit hemolymph melanization of its host, Plutella xylostella larvae, during the early stages of parasitization, and that overexpression of highly expressed CvBV genes reduced host phenoloxidase activity. Furthermore, CvBV-7-1 in particular reduced host phenoloxidase activity within 12 h, and the injection of anti-CvBV-7-1 antibody increased the melanization of parasitized host larvae. Further analyses showed that CvBV-7-1 and three homologs from other Cotesia bracoviruses possessed a C-terminal leucine/isoleucine-rich region and had a similar function in inhibiting melanization. Therefore, a new family of bracovirus genes was proposed and named as C -terminal L eucine/isoleucine-rich P rotein (CLP). Ectopic expression of CvBV-7-1 in Drosophila hemocytes increased susceptibility to bacterial repression of melanization and reduced the melanotic encapsulation of parasitized D. melanogaster by the parasitoid Leptopilina boulardi. The formation rate of wasp pupae and the eclosion rate of C. vestalis were affected when the function of CvBV-7-1 was blocked. Our findings suggest that CLP genes from Cotesia bracoviruses encoded proteins that contain a C-terminal leucine/isoleucine-rich region and function as melanization inhibitors during the early stage of parasitization, which is important for successful parasitization.     

Fast classification and compositional analysis of cornstover fractions using Fourier transform near-infrared techniques

The objectives of this research were to determine the variation of chemical composition across botanical fractions of cornstover, and to probe the potential of Fourier transform near-infrared (FT-NIR) techniques in qualitatively classifying separated cornstover fractions and in quantitatively analyzing chemical compositions of cornstover by developing calibration models to predict chemical compositions of cornstover based on FT-NIR spectra. Large variations of cornstover chemical composition for wide calibration ranges, which is required by a reliable calibration model, were achieved by manually separating the cornstover samples into six botanical fractions, and their chemical compositions were determined by conventional wet chemical analyses, which proved that chemical composition varies significantly among different botanical fractions of cornstover. Different botanic fractions, having total saccharide content in descending order, are husk, sheath, pith, rind, leaf, and node. Based on FT-NIR spectra acquired on the biomass, classification by Soft Independent Modeling of Class Analogy (SIMCA) was employed to conduct qualitative classification of cornstover fractions, and partial least square (PLS) regression was used for quantitative chemical composition analysis. SIMCA was successfully demonstrated in classifying botanical fractions of cornstover. The developed PLS model yielded root mean square error of prediction (RMSEP %w/w) of 0.92, 1.03, 0.17, 0.27, 0.21, 1.12, and 0.57 for glucan, xylan, galactan, arabinan, mannan, lignin, and ash, respectively. The results showed the potential of FT-NIR techniques in combination with multivariate analysis to be utilized by biomass feedstock suppliers, bioethanol manufacturers, and bio-power producers in order to better manage bioenergy feedstocks and enhance bioconversion.     

Novel Biomarkers for Non-functioning Invasive Pituitary Adenomas were Identified by Using Analysis of microRNAs Expression Profile

The microRNAs (miRNAs) are involved in multiple pathological processes among various types of tumors. However, the functions of miRNAs in benign brain tumors are largely unexplored. In order to explore the pathogenesis of the invasiveness in non-functional pituitary adenoma (NFPA), the miRNAs expression profile was analyzed between invasive and non-invasive non-functional pituitary adenoma by miRNAs microarray. Six most significant differentially expressed miRNAs were identified including four upregulated miRNAs hsa-miR-181b-5p, hsa-miR-181d, hsa-miR-191-3p, and hsa-miR-598 and two downregulated miRNAs hsa-miR-3676-5p and hsa-miR-383. The functions and corresponding signaling pathways of differentially expressed miRNAs were investigated by bioinformatics techniques, including Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. The result of GO analysis indicates regulation of voltage-gated potassium channel activity, positive regulation of sodium ion transport, positive regulation of GTPase activity, negative regulation of Notch signaling pathway, etc. KEGG pathway reveals a series of biological processes, including prolactin signaling pathway, endocrine and other factor-regulated calcium reabsorption, fatty acid metabolism, neuroactive ligand-receptor interaction, etc. The miRNAs hsa-miR-181a-5p was verified by quantitative real-time PCR, and the expression level was in accordance with the microarray result. Our result can provide the evidence on featured miRNAs which play a prominent role in pituitary adenoma as effective biomarkers and therapeutic targets in the future.     

Disease-driven detection of differential inherited SNP modules from SNP network

Detection of the synergetic effects between variants, such as single-nucleotide polymorphisms (SNPs), is crucial for understanding the genetic characters of complex diseases. Here, we proposed a two-step approach to detect differentially inherited SNP modules (synergetic SNP units) from a SNP network. First, SNP-SNP interactions are identified based on prior biological knowledge, such as their adjacency on the chromosome or degree of relatedness between the functional relationships of their genes. These interactions form SNP networks. Second, disease-risk SNP modules (or sub-networks) are prioritised by their differentially inherited properties in IBD (Identity by Descent) profiles of affected and unaffected sibpairs. The search process is driven by the disease information and follows the structure of a SNP network. Simulation studies have indicated that this approach achieves high accuracy and a low false-positive rate in the identification of known disease-susceptible SNPs. Applying this method to an alcoholism dataset, we found that flexible patterns of susceptible SNP combinations do play a role in complex diseases, and some known genes were detected through these risk SNP modules. One example is GRM7, a known alcoholism gene successfully detected by a SNP module comprised of two SNPs, but neither of the two SNPs was significantly associated with the disease in single-locus analysis. These identified genes are also enriched in some pathways associated with alcoholism, including the calcium signalling pathway, axon guidance and neuroactive ligand-receptor interaction. The integration of network biology and genetic analysis provides putative functional bridges between genetic variants and candidate genes or pathways, thereby providing new insight into the aetiology of complex diseases.     

PTP1B inhibitor improves both insulin resistance and lipid abnormalities in vivo and in vitro

PTP1B is a negative regulator of insulin signaling pathway. This study investigated the effects of compound CCF06240, a PTP1B inhibitor, on insulin sensitivity and lipid metabolic abnormalities in vivo and in vitro, respectively. The insulin resistant IRM mouse model was induced by HFD. The responses to insulin were determined by OGTT, ITT, and hyperinsulinemic-euglycemic clamp test. The body weight and the levels of serum TC and TG were measured to estimate the lipid metabolism in vivo. Recombinant human GST-PTP1B protein was used to measure the inhibition of CCF06240 on PTP1B activity. The hepatocyte lipid accumulation was induced by high concentrations of FFA and insulin in HepG(2) cells, and evaluated by the Oil Red O method. In IRM mice, the insulin resistance was improved; the body weight and the levels of TC and TG were also reduced by oral CCF06240 administration. In lipid accumulated model cells, CCF06240 was found to reverse the increased PTP1B activity, enhance the insulin-induced tyrosine phosphorylation in insulin signaling pathway, attenuate the FFA-insulin-induced cellular lipid accumulation, and down-regulate the expressions of genes related fatty acid synthesis. These results demonstrated that the PTP1B inhibitor, compound CCF06240, could increase insulin sensitivity through the regulation of insulin signaling pathway, and decrease FFA-insulin-induced hepatocytes lipid accumulation by reducing fatty acid syntheses.