Modeling and analysis of soybean (Glycine max. L) Cu/Zn,Mn and Fe superoxide dismutases

Superoxide dismutase (SOD, EC 1.15.1.1) is an important metal-containing antioxidant enzyme that provides the first line of defense against toxic superoxide radicals by catalyzing their dismutation to oxygen and hydrogen peroxide. SOD is classified into four metalloprotein isoforms, namely, Cu/Zn SOD, Mn SOD, Ni SOD and Fe SOD. The structural models of soybean SOD isoforms have not yet been solved. In this study, we describe structural models for soybean Cu/Zn SOD, Mn SOD and Fe SOD and provide insights into the molecular function of this metal-binding enzyme in improving tolerance to oxidative stress in plants.     

Ligand design,synthesis and biological anti-HCV evaluations for genotypes 1b and 4a of certain 4-(3- & 4-[3-(3,5-dibromo-4-hydroxyphenyl)-propylamino]phenyl) butyric acids and 3-(3,5-dibromo-4-hydroxyphenyl)-propylamino-acetamidobenzoic acid esters

4-(4-[N-1-carboxy-3-(3,5-dibromo-4-hydroxyphenyl)-3-oxo-propylamino]phenyl)-4-oxo-butyric acid (V), 4-(3- & 4-[N-1-carboxy-3-(3,5-dibromo-4-hydroxyphenyl)-3-oxo-propylaminophenyl]-2-aryl-4-oxo-butyric acids (Xa–e) and 4-(2-alkyl-2-[N-3-(3,5-dibromo-4-hydroxyphenyl)-1-carboxy-3-oxo-propylamino]acetamido) benzoate esters (XVa–e) were designed, synthesized and biologically evaluated as anti-HCV for genotypes 1b and 4a. The design was based on their docking scores with HCV NS3/4A protease-binding site of the genotype 1b (1W3C), which is conserved in the genotype 4a structure. The docking scores predicted that most of these molecules have higher affinity to the HCV NS3/4A enzyme more than Indoline lead. These compounds were synthesized and evaluated for their cytopathic inhibitory activity against RAW HCV cell cultures of genotype 4a and also examined against Huh 5–2 HCV cell culture of genotype 1b, utilizing Luciferase and MTS assays. Compounds Xa and Xb have 95 and 80% of the activity of Ribavirin against genotype 4a and compounds XVa, XVb and XVd exerted high percentage inhibitory activity against genotype 1b equal 87.7, 84.3 and 82.8%, respectively, with low EC₅₀ doses.     

Integrated analysis of genetic,genomic and proteomic data

The rapid expansion of methods for measuring biological data ranging from DNA sequence variations to mRNA expression and protein abundance presents the opportunity to utilize multiple types of information jointly in the study of human health and disease. Organisms are complex systems that integrate inputs at myriad levels to arrive at an observable phenotype. Therefore, it is essential that questions concerning the etiology of phenotypes as complex as common human diseases take the systemic nature of biology into account, and integrate the information provided by each data type in a manner analogous to the operation of the body itself. While limited in scope, the initial forays into the joint analysis of multiple data types have yielded interesting results that would not have been reached had only one type of data been considered. These early successes, along with the aforementioned theoretical appeal of data integration, provide impetus for the development of methods for the parallel, high-throughput analysis of multiple data types. The idea that the integrated analysis of multiple data types will improve the identification of biomarkers of clinical endpoints, such as disease susceptibility, is presented as a working hypothesis.     

Can indicator species predict restoration outcomes early in the monitoring process? a case study with peatlands

Success in ecological restoration is rarely assessed rigorously due to insufficient planning for post-restoration monitoring programs, limited funding and, especially, lack of scientifically validated evaluation criteria and protocols. In this article, we propose the use of the Indicator Value Index technique (IndVal), which statistically determines the association of species to one or several particular site types, to obtain indicators of success at the early stages of the recovery process in restoration projects. Peat bogs extracted by the vacuum method, subsequently restored by a moss-transfer technique and regularly monitored for ~10 years were used as a model system to test this approach. We first identified 34 restored sectors of ~10 ha from 4 to 11 years old in twelve eastern-Canadian bogs. These sectors were then classified according to their degree of success in recovering a typical sphagnum moss carpet (restoration goal). Then, we retrospectively reviewed vegetation communities recorded at the third year after restoration to identify indicator species of different categories of restoration success, using the IndVal methodology. By identifying early indicator species, our method provides a tool that guides intervention soon after restoration if a site is not on a desired successional trajectory. Typical bog species, namely the bryophytes S. rubellum and Mylia anomala and the tree Picea mariana, were indicative of successful restoration; while bare peat, lichens and one species of ericaceous shrubs (Empetrum nigrum), which cope better under drier conditions, indicated sites where restoration failed. A surprising finding was that the moss Polytrichum strictum, which is known to facilitate the colonization of sphagnum in disturbed peatlands, is an early indicator of unsuccessful restoration. This finding made us question the nursing role of P. strictum at a cover threshold above ca. 30%, when P. strictum could be outcompeting sphagnum and become dominant. We conclude that the IndVal method is an effective tool to identify early indicators of restoration success when combined with a thoughtful examination of species frequency and cover within each site type.     

基于“管制平衡”的草原生态补偿政策参与式干预发展评价研究

从整体性治理理论视角出发,深入分析了草原生态补偿政策实施过程中的管制与治理维度,认为草原生态补偿政策是一个"管制平衡"导向型政策,进而提出从"参与式干预发展"的角度对该政策的实施效果进行综合性评价。基于内蒙古锡林郭勒典型草原的一个纯牧业嘎查(村庄)的案例研究,将参与式干预发展评价(PADev)方法的应用进行了详细呈现,并获得了兼具"形成性"和"主体间性"的综合性评价结论与发现。为验证PADev的适合性和科学性,从"元评价"的角度,进一步呈现了基于生态调研和抽样社会调查的评价,作为PADev方法的"验证性"评价。案例研究发现,草原生态补偿政策的地位和作用体现在"草-畜-人"历史性(长达35年,从1983年牲畜承包开始)发展变迁的结构关系中,从政策作用的末端来评价生态补偿政策所产生的生态效益,比较难以直接确定其因果关系,但从基于制度变迁的路径依赖及未来发展的角度,政府主导的生态补偿政策将积极地促进牧民们的自主整合和适应市场的发展,以及"生态载畜量"和"实际载畜量"的收敛趋同。     

持续城镇化对中国推进实施联合国可持续发展目标的作用

中国过去40年城镇化发展迅速,从数字指标上看,不仅走过了一条迅速提升工业化水平的道路,也走过了一条快速城镇化道路。然而,中国城镇化发展重"量"而轻"质",偏重于城镇数量增多和城镇化速度的提升,而对城镇化的质量和效益的提升、人民生活水平和文明程度的共同提高、资源生态环境的保护、城镇就业、第三产业发展等城镇化的本质问题关注不够。2015年,联合国通过的2030年全球可持续发展目标(SDGs)明确要求建设包容、安全、有抵御灾害能力和可持续的城市和人类住区,中国新型城镇化应以可持续发展目标为导向,如何将SDGs的具体要求用于中国新型城镇化的发展显得尤为重要。为此需要构建城市可持续发展水平评估机制,测评中国城市可持续发展目标实施状况;通过推进城市绿色创新实践,拓宽中国城市可持续发展目标践行路径。     

SolVES模型价值转移方法对不同空间尺度的响应评估

随着人类对生态系统服务压力的不断增加,生态系统服务社会价值的评估变得至关重要。利用SolVES模型将太白山国家森林公园的社会价值转移到牛背梁国家森林公园和秦岭山地,评估两者的社会价值并探讨不同尺度下转移结果的差异。结果表明:1)牛背梁国家森林公园游憩价值指数与高程负相关,美学价值指数与高程正相关,羚牛谷山水观光游憩区的游憩价值较高,高山风光区的美学价值较高;2)秦岭山地的游憩价值与高程正相关,美学价值与高程负相关,森林公园的游憩价值较高,山地整体美学价值指数偏低;3)秦岭山地的社会价值集中于高程1000—2000m、坡度25°—35°处,而牛背梁国家森林公园的社会价值分布规律不明显;4)不同尺度下相同的转移模型输出的转移结果与环境变量的关系存在差异。SolVES模型的价值转移子模型是一个可以进行生态系统服务社会价值评估的快速有效的工具,但应根据需求精度选择合适的统计模型。