Removal of inorganic anions from drinking water supplies by membrane bio/processes

This paper is designed to provide an overview of the main membrane-assisted processes that can be used for the removal of toxic inorganic anions from drinking water supplies. The emphasis has been placed on integrated process solutions, including the emerging issue of membrane bioreactors. An attempt is made to compare critically recently reported results, reveal the best existing membrane technologies and identify the most promising integrated membrane bio/processes currently being under investigation. Selected examples are discussed in each case with respect to their advantages and limitations compared to conventional methods for removal of anionic pollutants. The use of membranes is particularly attractive for separating ions between two liquid phases (purified and concentrated water streams) because many of the difficulties associated with precipitation, coagulation or adsorption and phase separation can be avoided. Therefore, membrane technologies are already successfully used on large-scale for removal of inorganic anions such as nitrate, fluoride, arsenic species, etc. The concentrated brine discharge and/or treatment, however, can be problematic in many cases. Membrane bioreactors allow for complete depollution but water quality, insufficiently stable process operation, and economical reasons still limit their wider application in drinking water treatment. The development of more efficient membranes, the design of cost-effective operating conditions, especially long-term operations without or with minimal membrane inorganic and/or biological fouling, and reduction of the specific energy consumption requirements are the major challenges.     

基于EB1基因的环介导等温扩增（LAMP）法检测感染家蚕微粒子病的蚕卵

【目的】家蚕 Bombyx mori 微粒子病一直影响着蚕种业的健康发展,快速而准确地检测出寄生于蚕卵中的家蚕微孢子虫 Nosema bombycis 对于有效控制家蚕微粒子病危害意义重大。【方法】环介导等温扩增（loop-mediated isothermal amplification, LAMP）法是一种快速、灵敏、特异的DNA体外恒温扩增方法,本文基于LAMP检测法的原理,依据家蚕微孢子虫孢子繁殖复制相关的 EB1 基因（GenBank登录号：KF421134.1）设计LAMP引物,对LAMP反应体系的最佳反应温度、内外引物浓度比、检测反应的特异性、灵敏度等进行研究,建立了一种检测蚕卵感染家蚕微粒子病的LAMP检测方法。【结果】结果表明,基于EB1 基因建立的LAMP检测方法在63℃恒温下在1.5 h内就可完成对样品的有效检测,本LAMP法对家蚕微孢子虫孢子DNA的检测灵敏度为5.0×10^-3 ng/μL,对EB1-pMD^TM19-T质粒标准品的检测灵敏度为1.0×10² copies/μL,同时对人工感染家蚕微粒子病单个母蛾产下蚕卵的1/8卵圈量或1粒蚕卵均能检出阳性结果。上述结果都分别应用凝胶电泳法、恒温荧光检测仪以及SYBR GreenⅠ显色肉眼观察法得到同步判定。【结论】本研究建立的基于EB1基因LAMP法可用于蚕卵微粒子病的检测,LAMP法为蚕种质量检验及成品卵微粒子病现场检疫提供了新技术。     

A plea for using qualitative aspects in the interpretation of ecological field data as revealed by the proof of carabid beetle assemblages of a pristine salt marsh

The evaluation of ecological field data can be done by an increasing number of quantitative methods. The application of these methods often is often blind against two kinds of problems: (i) the data often do not meet the requirements of a method, e.g., as an ultra-metric structure of the data in the case of hierarchical cluster analysis. In such cases, the result will be misleading because the presentation of results is ultra-metric independent on the structure of the data. (ii) Most of the animals are able to move actively or may drift passively by wind, etc. Therefore, species occurring by accident like vagrants have to be eliminated from the assemblage of animals at a particular site before a quantitative method is applied. In addition, the result of a quantitative analysis has to be checked for its ecological plausibility. This is a qualitative step, which can only be done by taking into account the known data on biology and ecology of the species.Some pitfalls of an exclusive application of quantitative methods will be demonstrated in this paper using a data set of salt marsh Carabidae.     

Characterization of conserved motifs in HIV-1 Vif required for APOBEC3G and APOBEC3F interaction

Apolipoprotein B mRNA-editing catalytic polypeptide-like 3G (APOBEC3G, or A3G) and related cytidine deaminases such as apolipoprotein B mRNA-editing catalytic polypeptide-like 3F (APOBEC3F, or A3F) are potent inhibitors of retroviruses. Formation of infectious human immunodeficiency virus (HIV)-1 requires suppression of multiple cytidine deaminases by Vif. HIV-1 Vif suppresses various APOBEC3 proteins through a common mechanism by recruiting Cullin5, ElonginB, and ElonginC E3 ubiquitin ligase to induce target protein polyubiquitination and proteasome-mediated degradation. Domains in Vif that mediate APOBEC3 recognition have not been fully characterized. In the present study, we identified a VxIPLx_4-5LxΦx₂YWxL motif in HIV-1 Vif, which is required for efficient interaction between Vif and A3G, Vif-mediated A3G degradation and virion exclusion, and functional suppression of the A3G antiviral activity. Amino acids 52 to 72 of HIV-1 Vif (including the VxIPLx_4-5LxΦx₂YWxL motif) alone could mediate interaction with A3G, and this interaction was abolished by mutations of two hydrophobic amino acids in this region. We have also observed that a Vif mutant was ineffective against A3G, yet it retained the ability to interact with Cullin5-E3 ubiquitin complex and A3G, suggesting that interaction with A3G is necessary but not sufficient to inhibit its antiviral function. Unlike the previously identified motif of HIV-1 Vif amino acids 40 to 44, which is only important for A3G suppression, the VxIPLx_4-5LxΦx₂YWxL motif is also required for efficient A3F interaction and suppression. On the other hand, another motif, TGERxW, of HIV-1 Vif amino acids 74 to 79 was found to be mainly important for A3F interaction and inhibition. Both the VxIPLx_4-5LxΦx₂YWxL and TGERxW motifs are highly conserved among HIV-1, HIV-2, and various simian immunodeficiency virus Vif proteins. Our data suggest that primate lentiviral Vif molecules recognize their autologous APOBEC3 proteins through conserved structural features that represent attractive targets for the development of novel inhibitors.     

森林-农业景观格局变化的社会-生态系统模拟模型方法进展

社会-生态系统(SES)模拟模型是景观格局分析和决策的有效工具,能表征景观格局变化的社会-生态效应及景观决策的复杂反馈机制。文献综述了森林-农业景观格局的SES模型方法进展发现:(1)多数模型对景观过程与社会经济决策的反馈关系分析不足;(2)应集成多种情景模拟和景观效应分析方法,完善现有SES模型的理论方法基础;(3)通过集成格局优化模型和自主体模型会有效改进SES模型功能,具体途径包括:集成情景-生态效应的景观格局模拟方法、完善景观决策的理论基础、加强集成模型的不确定性分析、降低模型复杂性和综合定性-定量数据等。研究结果有助于理解多尺度森林-农业景观格局在社会-生态系统中的重要作用,能更好地支持跨学科集成模型开发与应用。     

宏观生态系统科学整合研究的多学科知识融合及其技术途径

综合认识大尺度的宏观生态系统结构功能、空间变异和动态演变的过程机理和模式机制,实现对生态系统变化及其对人类福祉影响的定量模拟、科学评估和预测预警,服务生态系统的利用保护及调控管理,是当代宏观生态系统科学的重要发展方向,正在孕育并形成大尺度的宏观生态系统科学整合生态学(IEMES)研究新领域.本研究通过对宏观生态系统科学...     

Comparing methods for metabolic network analysis and an application to metabolic engineering

Bioinformatics tools have facilitated the reconstruction and analysis of cellular metabolism of various organisms based on information encoded in their genomes. Characterization of cellular metabolism is useful to understand the phenotypic capabilities of these organisms. It has been done quantitatively through the analysis of pathway operations. There are several in silico approaches for analyzing metabolic networks, including structural and stoichiometric analysis, metabolic flux analysis, metabolic control analysis, and several kinetic modeling based analyses. They can serve as a virtual laboratory to give insights into basic principles of cellular functions. This article summarizes the progress and advances in software and algorithm development for metabolic network analysis, along with their applications relevant to cellular physiology, and metabolic engineering with an emphasis on microbial strain optimization. Moreover, it provides a detailed comparative analysis of existing approaches under different categories.     

Distribution,species diversity and life-form spectra of plant communities along an altitudinal gradient in the northern slopes of Qilianshan Mountains,Gansu, China

We studied the distribution pattern, species diversity and life-formspectra of plant communities along an altitudinal gradient in the mid-sectionofthe northern slopes of Qilianshan Mountains by means of multivariate analyses.Two data sets (167 species × 75 plots, 10 environmental variables ×75 plots), originated from the fieldworks in 1998–1999, were subjected toTWINSPAN and DCCA, resulting in 8 major plant communities: 1)Asterothamnus centraliasiaticus–Halogetonarachnoideus desert grassland on azonal substrates from 1450 to 1600m and 2) zonal Reaumuria soogorica desertgrassland on gravels from 1470 to 1900 m; 3) Stipaprzewalskii–Stipa purpurea montane grassland from 2200 to 2900m; 4) Polygonum viviparum alpine grasslandfrom 2900 to 3700 m; 5) Caraganastenophylla–Ajaniafruticulosa dry-warm shrubland from 2350 to 2800 m; 6)Sabina przewalskii mid-wet warm forest from 2700 to 3300m; 7) Picea crassifolia cold coniferousforestfrom 2450 to 3200 m; 8) Caragana jubatawet-cold alpine shrubland from 3100 to 3700 m. Species diversityand species richness of both grasslands and forests peaked at the intermediateportion of the elevational gradient. Evenness might be strongly influenced byeither biotic or abiotic factors at a local scale, while seems quiteindependentof an elevational gradient at landscape scales. Beta-diversity decreased from1500 to 3700 m, indicating that species turnover declined withincreased elevation. Both richness of life-form and total species richness in agiven altitudinal belt (gamma-diversity) peaked at intermediate elevations,while relative species richness of different life-form varied differently alongthe altitudinal gradient.     

Review of impact categories and environmental indicators for life cycle assessment of geotechnical systems

Life cycle assessment (LCA) has only had limited application in the geotechnical engineering discipline, though it has been widely applied to civil engineering systems such as pavements and roadways. A review of previous geotechnical LCAs showed that most studies have tracked a small set of impact categories, such as energy and global warming potential. Accordingly, currently reported environmental indicators may not effectively or fully capture important environmental impacts and tradeoffs associated with geotechnical systems, including those associated with land and soil resources. This research reviewed previous studies, methods, and models for assessment of land use and soil‐related impacts to understand their applicability to geotechnical LCA. The results of this review show that critical gaps remain in current knowledge and practice. In particular, further development or refinement of environmental indicators, impact categories, and cause–effect pathways is needed as they pertain to geotechnical applications—specifically those related to soil quality, soil functions, and the ecosystem services soils provide. In addition, many existing methods emerge from research on land use and land use change related to other disciplines (e.g., agriculture). For applicability to geotechnical projects, the resolution of many of these methods and resulting indicators need to be downscaled from the landscape/macro scale to the project scale. In the near term, practitioners of geotechnical LCA should begin tracking changes to soil properties and report impacts to land and soil resources qualitatively.     

Comprehensive analysis of mRNA‐level and miRNA‐level subpathway activities for identifying robust ovarian cancer prognostic signatures

Ovarian cancer (OvCa) causes the highest mortality among all gynaecologic cancers. A large number of mRNA‐ or miRNA‐based signatures were identified for OvCa patient prognosis. However, the comprehensive analysis of function‐level prognostic signatures is currently not considered in OvCa. In the present study, we respectively inferred subpathway activities from mRNA and miRNA levels based on high‐throughput expression profiles and reconstructed subpathways. Firstly, the activities of two tumour pathways were calculated and the difference between normal and tumour samples were analysed using multiple tumour types. Then, we calculated subpathway activities for OvCa based on the expression profiles from both mRNA and miRNA levels. Furthermore, based on these subpathway activity matrices, we performed bootstrap analysis to obtain sub‐training sets and utilized univariate method to identify robust OvCa prognostic subpathways. A comprehensive comparison of subpathway results between these two levels was performed. As a result, we observed subpathway mutual exclusion trend between the levels of mRNA and miRNA, which indicated the necessary of combining mRNA‐miRNA levels. Finally, by using ICGC data as testing sets, we utilized two strategies to verify survival predictive power of the mRNA‐miRNA combined subpathway signatures and performed comparisons with results from individual levels. It was confirmed that our framework displayed application to identify robust and efficient prognostic signatures for OvCa, and the combined signatures indeed exhibited advantages over individual ones. In the study, we took a step forward in relevant novel integrated functional signatures for OvCa prognosis.