Nitrogen deposition alters soil chemical properties and bacterial communities in the Inner Mongolia grassland

Nitrogen deposition has dramatically altered biodiversity and ecosystem functioning on the earth; however, its effects on soil bacterial community and the underlying mechanisms of these effects have not been thoroughly examined. Changes in ecosystems caused by nitrogen deposition have traditionally been attributed to increased nitrogen content. In fact, nitrogen deposition not only leads to increased soil total N content, but also changes in the NH₄⁺-N content, NO₃^--N content and pH, as well as changes in the heterogeneity of the four indexes. The soil indexes for these four factors, their heterogeneity and even the plant community might be routes through which nitrogen deposition alters the bacterial community. Here, we describe a 6-year nitrogen addition experiment conducted in a typical steppe ecosystem to investigate the ecological mechanism by which nitrogen deposition alters bacterial abundance, diversity and composition. We found that various characteristics of the bacterial community were explained by different environmental factors. Nitrogen deposition decreased bacterial abundance that is positively related to soil pH value. In addition, nitrogen addition decreased bacterial diversity, which is negatively related to soil total N content and positively related to soil NO₃^--N heterogeneity. Finally, nitrogen addition altered bacterial composition that is significantly related to soil NH₄⁺-N content. Although nitrogen deposition significantly altered plant biomass, diversity and composition, these characteristics of plant community did not have a significant impact on processes of nitrogen deposition that led to alterations in bacterial abundance, diversity and composition. Therefore, more sensitive molecular technologies should be adopted to detect the subtle shifts of microbial community structure induced by the changes of plant community upon nitrogen deposition.     

超声波促进好氧/缺氧污泥消化过程中细菌群落结构分析

应用基于16S rDNA的PCR-DGGE对超声波-好氧/缺氧污泥消化过程中微生物种群的多样性进行研究.通过SDS细胞裂解法提取不同时期污泥中的基因组DNA,采用通用引物进行V3区域PCR扩增,长约190 bp的PCR产物经DGGE分离后,获得污泥微生物群落的DNA特征指纹图谱,对条带进行切胶测序,使用序列数据进行同源性分析并建立系统发育树.DGGE图谱表明,在反应器运行的不同时期,微生物群落结构发生动态演替.5、10、15、20、25 d微生物相似性与0 d相比分别为61.2%、48.2%、46.4%、42.6%、41.7%,总细菌Shannon指数经历了一个从逐渐减少到趋于稳定的过程,这表明超声波改变污泥内部性质,导致微生物多样性的降低.UPGMA聚类分析将DGGE图谱区分为三大族群并对应于不同运行时期.测序结果表明,超声波-好氧/缺氧污泥消化中微生物群落主要为Firmicute、Genuscitrobacter、Bacilli、α-Proteobacteria、β-Proteobacteria.     

若尔盖高原湿地藻类多样性研究

分别于夏、冬两季采集若尔盖高原湿地水样,利用传统培养及显微镜检的方法和现代分子生物学方法对其藻类多样性进行了研究.结果表明,夏季水样至少培养出4种绿藻,分别为普通小球藻(Chlorella vulgaris Beij.)、浮球藻(Planktosphaeriagelatinosa G.M.Smith)、繁茂栅列藻(Scenedesmus abundans Kirchner)和柱状栅列藻(Scenedesmus bijuga Turp.),均属于绿球藻(Chlorococcales),其中普通小球藻为优势藻种,并被分离纯化.显微镜检结果表明冬季水样中主要的藻类种群为硅藻,此结果符合在低温季节天然水体中常以硅藻为主的常理.蓝藻16S rRNA基因克隆文库中的主要类群为硅藻(Bacillaripiophyta,35.3%),其次为蓝藻,包括色球藻(Chroococcales,5.9%)、念珠藻(Nostocales,11.8%)、颤藻(Oscillatoriales,11.8%)和一些未知种属的蓝藻类群(Unclassified Cyanobacteria,35.3%),还发现一些与低温环境微生物相关的类群,如颤藻目细纤菌属(Leptolyngbya).     

蔗渣垫料在零排放发酵床养猪中的应用研究

目前微生物发酵床养猪垫料是选用木屑、谷壳作为原料,来实现零排放养猪。文章选用农业固体废弃物——蔗渣为垫料应用于零排放漏缝发酵床养猪,跟踪了3个月垫料在实际使用中的温度、有机质、氮、磷、钾、微生物指标,对蔗渣的使用效果进行了评价,并建立PCR反应体系来扩增DNA,利用PCR-DGGE技术对垫料中的微生物群落多样性进行研究。结果表明:蔗渣作为垫料,能使垫床温度控制在40⁶5℃之间,保证了良好的发酵效果、且有效活菌数达到0.22×109cfu/g,可以对猪粪便等有机质进行较彻底的消解,因此蔗渣可以作为一种垫料应用于零排放漏缝发酵床;垫料中总养分达到1.371 7%,使用后的垫料可以作为一种原料生产生物有机肥。     

The relationship between diversity profiles,evenness and species richness based on partial ordering

Problems with the notion of evenness, such as ambiguity, proliferation of indices, choice of indices, etc. can be overcome by a more fundamental, mathematical approach. We show that the Lorenz curve is an adequate representation of evenness. The corresponding Lorenz order induces a partial order in the set of equivalent abundance vectors. Also diversity can adequately be studied through a partial order and represented by a curve derived from the classical Lorenz curve. This curve is known as the intrinsic diversity profile (or k-dominance curve) and was introduced by Patil and Taillie (1979) and Lambshead et al. (1981).     

杉木地理种源遗传变异的RAPD分析

应用随机扩增多态性DNA技术对我国12个有代表性的杉木地理种源遗传多样性进行分析，从80个随要引物中筛选出20个进行扩增，共扩增出149个DNA片段，其中具多态性的片段有115个，占77．18％％，表明极木地理种源间具有丰富的DNA序列多态性、平均每个引物提供7．45个RAPD标记的信息量，扩增出的DNA片段大小一般为150到2000bp范围之间，12个杉木地理种源间遗传距离变幅为0．193－0．4467，聚类结果表明，在0．2664处，广东信宜，广西梧州，湖南会同，湖南江华，贵州锦屏，江西全南聚为一类，福建沙县，浙江开化，湖北咸宁，安徽休宁聚为一类，四川雅安，陕西南郑各为一类，图2表2参15     

Specific features of bird community formation depending on the degree of anthropogenic impact

The population density and relative abundance of some bird species reach the highest values in the communities of habitats with a high degree of anthropogenic transformation. The species diversity of birds shows an inverse correlation with the index of anthropogenic impact (in grades) calculated with regard to a number of parameters. Relevant correlations change periodically, with the correlation coefficient reaching the highest values in the nesting period and decreasing to a minimum during the flight period.     

Effect of forest fires on the avifauna of the Northern Amur Region

To reveal the effect of forest fires on the avifauna of the Northern Amur Region, bird assemblages of primary dark conifer-deciduous forests, wild rosemary larch forests, and secondary larch-birch forests have been studied in the Komsomol’skii and Norskii nature reserves. It has been shown that the replacement of primary dark conifer-deciduous forests by secondary forests is accompanied by a significant decrease in bird population density, with some species being lost and the composition of the dominant species group being changed. On the other hand, fires lead to increasing patchiness of the environment, which can sometimes provide for an increase in biological diversity.     

Human Impacts on Drainages of the Mesa Central, Mexico, and Its Genetic Effects on an Endangered Fish, Zoogoneticus quitzeoensis

Abstract:  The Mesa Central of Mexico is of special conservation interest due to its high richness of freshwater fish species, of which the goodeines are one of the most representative groups. Through an integrated approach, we determined conservation priorities for goodeine populations. We based our recommendations on the genetic diversity (variation in five microsatellite DNA loci) in 10 populations of Zoogoneticus quitzeoensis and on an analysis of ecological (e.g., presence of exotic species), social (e.g., political situation), and environmental (e.g., pollution) information for 52 historical occurrence points for species in the genus Zoogoneticus . Patterns of genetic erosion and genetic diversity indices were closely associated with human impact. Recent bottleneck events were most evident in the populations from remnants of the lakes drained at the beginning of the twentieth century. We identified seven operational conservation units (OCUs), all of which should be conserved because they contain unique portions of the total variation of the species. Special attention needs to be given to increase genetic variability, recover population sizes, and reestablish contact among populations within OCUs. It is imperative to create an integrative and effective approach for the recovery and conservation of the freshwater fish diversity of Central Mexico that is based on social and natural sciences.     

A New Approach to Plant Diversity Assessment Combining HPLC Data, Simplex Mixture Design and Discriminant Analysis

The quantitative assessment of plant diversity and its monitoring with time represent a key environmental issue for management and conservation of natural resources. Assessment of plant diversity could be based on chemical analyses of secondary metabolites (e.g. flavonoids, terpenoids), because of the substantial quantitative and qualitative between-individual variability in such compounds. At a geographical scale, the plant populations become widely dispersed, and their monitoring from numerous routine individual analyses could become restricting. To overcome such constraint, this study develops a multivariate calibration model giving the relative frequency of a particular taxon from a simple high-performance liquid chromatography (HPLC) analysis of a plant mixture. The model was built from a complete set of mixtures combining different taxons, according to an experimental design (Scheffé’s matrix). For each mixture, a reference HPLC pattern was simulated by averaging the individual HPLC profiles of the constitutive taxons. The calibration models, based on Bayesian discriminant analysis (BDA), gave statistical relationships between the contributions of each taxon in mixtures and reference HPLC patterns of these mixtures. Finally, these models were validated on new mixtures by using outside plants. This new biodiversity survey approach is illustrated on four chemical taxons (four chemotypes) of Astragalus caprinus (Fabaceae). The more differentiated the taxon, the better predicted its contributions (in mixtures) were by BDA calibration model. This new approach could be very useful for a global routine survey of plant diversity.