基于基因芯片对微生物基因功能与群落结构分析的硫化矿生物浸出分析

生物冶金技术因具有流程短、成本低、环境友好, 且特别适合处理低品位、复杂、难处理的矿产资源等优点,已经成为研究热点。然而由于缺少高效菌种以及不能对浸矿体系微生物进行定量分析, 难以对浸矿工艺参数和微生物种群进行优化调控, 从而导致硫化矿生物浸出速度慢、浸出率低。随着基因芯片、菌种保存技术的发展, 这些难题在逐一被解决。对近年来针对硫化矿浸出过程微生物的基因功能与群落结构分析的研究进行了概述, 将帮助我们更好地了解基因组学与生物冶金技术结合的重要作用。     

基于基因芯片对微生物基因功能与群落结构分析的硫化矿生物浸出分析

生物冶金技术因具有流程短、成本低、环境友好, 且特别适合处理低品位、复杂、难处理的矿产资源等优点,已经成为研究热点。然而由于缺少高效菌种以及不能对浸矿体系微生物进行定量分析, 难以对浸矿工艺参数和微生物种群进行优化调控, 从而导致硫化矿生物浸出速度慢、浸出率低。随着基因芯片、菌种保存技术的发展, 这些难题在逐一被解决。对近年来针对硫化矿浸出过程微生物的基因功能与群落结构分析的研究进行了概述, 将帮助我们更好地了解基因组学与生物冶金技术结合的重要作用。     

采用基因微阵列技术对常见呼吸道病毒进行检测的初步研究

建立一种高通量的基因微阵列检测技术,对常见呼吸道病毒感染进行监控.根据公开发表的8个病毒科38种常见呼吸道病毒的序列,计算其保守区域,设计病毒的特异性检测探针,制备呼吸道病毒检测基因微阵列.利用随机引物PCR方法标记样品中的病毒靶序列,标记产物与基因微阵列上的探针杂交,清洗、扫描后进行结果分析.采用流感病毒、麻疹病毒、腮腺炎病毒和风疹病毒作为报告病毒,并对80例上呼吸道感染患者的咽拭子标本进行验证测试.初步结果表明,该呼吸道病毒微阵列基因芯片检测是可行的,在利用基因微阵列技术对病毒监控方面进行了有益的尝试,得到了有经验的信息.     

Bioleaching of Heavy Metals from Textile Sludge by Indigenous Sulfur-and-Iron-Oxidizing Microorganisms Using Elemental Sulfur and Ferrous Sulfate as Energy Sources: A Comparative Study

The present study was undertaken to investigate the potential of enriched indigenous sulfur-and-iron-oxidizing microorganisms in the bioleaching of Cu, Ni, Zn and Fe from textile sludges by using elemental sulfur and ferrous sulfate (FS), respectively, as an energy source under batch conditions. The experiments were performed with three different textile sludges (S1, S2 and S3) at initial neutral pH of the sludges procured from different parts of the country i.e., UP, Haryana and Punjab. The three sludges used were not only procured from different parts of the country but also differ in physiochemical characteristics. The extent of heavy metals solubilization in each sludge was found to be different using sulfur- and iron-oxidizing microorganisms. The results of the study indicate that sulfur-oxidizing microorganisms were found more efficient in the bioleaching process, irrespective of any sludge. The use of sulfur-oxidizing microorganisms led to higher solubilization of heavy metals and after 7 days of bioleaching about 84–96% Cu, 64–78% Ni, 81–92% Zn and 74–88% Fe were removed compared to 62–73% Cu, 62–66% Ni, 74–78% Zn and 70–78% Fe using iron-oxidizing microorganisms. This study had shown the feasibility of applying the bioleaching process to textile sludge contaminated with heavy metals. The results of the present study indicate that the bioleached sludge would be safer for land application.     

应用基因芯片技术检测非综合征型耳聋基因突变

目的:应用遗传性耳聋基因芯片对散发性聋患者进行分子病因学检测,评估其在遗传性耳聋快速基因诊断中的可靠性。方法:门诊收集散发性聋患者10例,取外周血,提取基因组DNA,用遗传性耳聋基因芯片检测4个中国人中常见的耳聋相关基因中的9个热点突变,包括GJB2(35delG、176del16bp、235delC及299delAT)、GJB3(C538T)、SLC26A4(IVS7-2AG、A2168G)和线粒体DNA 12S rRNA(A1555G、C1494T)。同时,PCR扩增GJB2、线粒体12S rRNA基因全序列,DNA测序,以验证基因芯片检测结果的准确性。结果:在10名耳聋患者中,基因芯片方法检出1例携带线粒体DNA 12S rRNA C1494T突变;2例GJB2基因235delC纯合突变;2例235delC杂合突变;SLC26A4基因和GJB3基因未检出突变。基因芯片的结果与测序结果完全一致。结论:遗传性耳聋基因芯片技术对中国人常见耳聋相关基因热点突变的检出率高,结果准确、可靠,具有快速、高通量、高准确性、低成本等特点,能够满足临床耳聋基因检测的要求,同时结合产前诊断技术能有效预防耳聋患儿的出生,因而具有广阔的临床应用前景。     

Unravelling the Carbon and Sulphur Metabolism in Coastal Soil Ecosystems Using Comparative Cultivation-Independent Genome-Level Characterisation of Microbial Communities

Bacterial autotrophy contributes significantly to the overall carbon balance, which stabilises atmospheric CO₂ concentration and decelerates global warming. Little attention has been paid to different modes of carbon/sulphur metabolism mediated by autotrophic bacterial communities in terrestrial soil ecosystems. We studied these pathways by analysing the distribution and abundance of the diagnostic metabolic marker genes cbbM, apsA and soxB, which encode for ribulose-1,5-bisphosphate carboxylase/oxygenase, adenosine phosphosulphate reductase and sulphate thiohydrolase, respectively, among different contrasting soil types. Additionally, the abundance of community members was assessed by quantifying the gene copy numbers for 16S rRNA, cbbL, cbbM, apsA and soxB. Distinct compositional differences were observed among the clone libraries, which revealed a dominance of phylotypes associated with carbon and sulphur cycling, such as Gammaproteobacteria (Thiohalomonas, Allochromatium, Chromatium, Thiomicrospira) and Alphaproteobacteria (Rhodopseudomonas, Rhodovulum, Paracoccus). The rhizosphere soil was devoid of sulphur metabolism, as the soxB and apsA genes were not observed in the rhizosphere metagenome, which suggests the absence or inadequate representation of sulphur-oxidising bacteria. We hypothesise that the novel Gammaproteobacteria sulphur oxidisers might be actively involved in sulphur oxidation and inorganic carbon fixation, particularly in barren saline soil ecosystems, suggesting their significant putative ecological role and contribution to the soil carbon pool.     

Primary Study on Interrelation Between Plant Communities and Environmental Factors in the North Shore of Qinghai Lake

Eighteen plant communities were surveyed by quaduats in the north shore of Qinghai Lake. The communities were analyzed using PCA (principal component analysis) ordination and regression procedure to determine the distribution patterns of the plant communities and relationship between the communities and environmental factors. The results showed that the distribution of the plant communities were closely related to the moisture and salt content of soil. The correlation between species diversity or ecological dominance of the communities and gradient of environmental factors was not significant, but the two indexes of community showed multivarient line relationship with the first principal component, or the gradient of soil water, and the regression model as below: Y =- 4.85 4–1.47X1 4- 10.71X2 (P<0. 01).     

Using the Gene Ontology for Microarray Data Mining: A Comparison of Methods and Application to Age Effects in Human Prefrontal Cortex

One of the challenges in the analysis of gene expression data is placing the results in the context of other data available about genes and their relationships to each other. Here, we approach this problem in the study of gene expression changes associated with age in two areas of the human prefrontal cortex, comparing two computational methods. The first method, "overrepresentation analysis" (ORA), is based on statistically evaluating the fraction of genes in a particular gene ontology class found among the set of genes showing age-related changes in expression. The second method, "functional class scoring" (FCS), examines the statistical distribution of individual gene scores among all genes in the gene ontology class and does not involve an initial gene selection step. We find that FCS yields more consistent results than ORA, and the results of ORA depended strongly on the gene selection threshold. Our findings highlight the utility of functional class scoring for the analysis of complex expression data sets and emphasize the advantage of considering all available genomic information rather than sets of genes that pass a predetermined "threshold of significance."     

Genetic Stock Identification of Chum Salmon in the Bering Sea and North Pacific Ocean Using Mitochondrial DNA Microarray

A newly developed DNA microarray was applied to identify mitochondrial (mt) DNA haplotypes of more than 2200 chum salmon in the Bering Sea and North Pacific Ocean in September 2002 and also 2003, when the majority of maturing fish were migrating toward their natal river. The distribution of haplotypes occurring in Asian and North American fish in the surveyed area was similar in the 2 years. A conditional maximum likelihood method for estimation of stock compositions indicated that the Japanese stocks were distributed mainly in the north central Bering Sea, whereas the Russian stocks were mainly in the western Bering Sea. The North American stocks were abundant in the North Pacific Ocean around the Aleutian Islands. These results indicate that the Asian and North American stocks of chum salmon are nonrandomly distributed in the Bering Sea and the North Pacific Ocean, and further the oligonuleotide DNA microarray developed by us has a high potential for identification of stocks among mixed ocean aggregates of high-seas chum salmon.     

Comparative Study of Microbial Communities from Cultured and Natural Populations of the Mussel Mytilus trossulus in Peter the Great Bay

The 525 strains of heterotrophic bacteria isolated from natural and cultured populations of the mussel Mytilus trossulus and the surrounding seawater were identified to a genus level on the basis of phenotypic analysis and the fatty acid composition of cell lipids. Gram-negative isolates were dominated by six genera of the family Enterobacteriaceae and by the genera Pseudoalteromonas, Vibrio, Photobacterium, Cytophaga/Flavobacterium/Bacteroides, Pseudomonas, and Moraxella. Gram-positive isolates were mainly represented by the genus Streptomyces. The taxonomic compositions of natural and cultured populations of the mussel M. trossulus in Peter the Great Bay were similar.     

A Microarray Based Genomic Hybridization Method for Identification of New Genes in Plants: Case Analyses of Arabidopsis and Oryza

To systematically estimate the gene duplication events in closely related species, we have to use comparative genomic approaches, either through genomic sequence comparison or comparative genomic hybridization (CGH). Given the scarcity of complete genomic sequences of plant species, in the present study we adopted an array based CGH to investigate gene duplications in the genus Arabidopsis. Fragment genomic DNA from four species, namely Arabidopsis thaliana, A. lyrata subsp. lyrata, A. lyrata subsp. petraea, and A. halleri, was hybridized to Affymetrix (Santa Clara, CA, USA) tiling arrays that are designed from the genomic sequences of A. thaliana. Pairwise comparisons of signal intensity were made to infer the potential duplicated candidates along each phylo-genetic branch. Ninety-four potential candidates of gene duplication along the genus were identified. Among them, the majority (69 of 94) were A. thaliana lineage specific. This result indicates that the array based CGH approach may be used to identify candidates of duplication in other plant genera containing closely related species, such as Oryza, particularly for the AA genome species. We compared the degree of gene duplication through retrotransposon between O. sativa and A. thaliana and found a strikingly higher number of chimera retroposed genes in rice. The higher rate of gene duplication through retroposition and other mechanisms may indicate that the grass species is able to adapt to more diverse environments.     

The Role of Heterotrophic Microbial Communities in Estuarine C Budgets and the Biogeochemical C Cycle with Implications for Global Warming: Research Opportunities and Challenges

Estuaries are among the most productive and economically important marine ecosystems at the land–ocean interface and contribute significantly to exchange of CO₂ with the atmosphere. Estuarine microbial communities are major links in the biogeochemical C cycle and flow of C in food webs from primary producers to higher consumers. Considerable attention has been given to bacteria and autotrophic eukaryotes in estuarine ecosystems, but less research has been devoted to the role of heterotrophic eukaryotic microbes. Current research is reviewed here on the role of heterotrophic eukaryotic microbes in C biogeochemistry and ecology of estuaries, with particular attention to C budgets, trophodynamics, and the metabolic fate of C in microbial communities. Some attention is given to the importance of these processes in climate change and global warming, especially in relation to sources and sinks of atmospheric CO₂, while also documenting the current paucity of research on the role of eukaryotic microbes that contribute to this larger question of C biogeochemistry and the environment. Some recommendations are made for future directions of research and opportunities of applying newer technologies and analytical approaches to a more refined analysis of the role of C in estuarine microbial community processes and the biogeochemical C cycle.     

Microarray Multiplex Assay for the Simultaneous Detection and Discrimination of Influenza A and Influenza B Viruses

In this study, we present a microarray approach for the typing of influenza A and B viruses, and the subtyping of H1 and H3 subtypes. We designed four pairs of specific multiplex RT-PCR primers and eight specific oligonucleotide probes and prepared microarrays to identify the specific subtype of influenza virus. Through amplification and fluorescent marking of the multiplex RT-PCR products on the M gene of influenza A and B viruses and the HA gene of subtypes H1 and H3, the PCR products were hybridized with the microarray, and the results were analyzed using a microarray scanner. The results demonstrate that the chip developed by our research institute can detect influenza A and B viruses specifically and identify the subtypes H1 and H3 at a minimum concentration of 1 × 10² copies/μL of viral RNA. We tested 35 clinical samples and our results were identical to other fluorescent methods. The microarray approach developed in this study provides a reliable method for the monitoring and testing of seasonal influenza.     

Effects of Copper,Nickel, and Sulfate from the Smelters at Sudbury,Ontario (Canada) on Microbial Communities in Lakes

Analysis of water and sediments from deep and shallow environments in lakes located 6–154 km east or southeast of the smelters at Sudbury, Ontario (Canada) revealed variable, interactive effects of copper, nickel, and sulfate from smelter fallout on lacustrine microfloras. Metal species in sediments were differentiated by sequential extractions, and the nature, abundances, and activities of microbial populations were represented by chlorophyll-a in water and by CO₂ production, fatty acids, phospholipids, dehydrogenase, alkaline phosphatase, and spectral properties of humic matter in sediments. Smelter fallout declined logarithmically with distance from the smelters, and its effects on microfloras depended on the type of microorganism or microbial process and on environmental factors and the abundances of metal species and detoxifying agents. Extractable copper and nickel had toxic effects, which were not attributable solely to the exchangeable fractions, but in certain cases nickel counteracted copper toxicity. Sedimentary sulfide as a whole or sulfide produced by bacterial sulfate reduction, or low oxidation–reduction potential regardless of sulfide concentration, ameliorated metal toxicity by making the metals less bioavailable; and toxicity showed a “quantum jump” when detoxifying agents fell below certain critical concentrations, implying the existence of threshold levels of bioavailable metals above which toxicity increased abruptly. In some cases metal toxicity was lowest in the lakes closest to the smelters (because sulfate concentrations were highest) as well as in the lakes furthest away, and was highest at intermediate distances. The results also suggest that nickel pollution led to ecological succession whereby nickel-tolerant microbial populations replaced nickel-sensitive ones.     

A Study of East African Kinship and Marriage Using a Phylogenetically Based Comparative Method

This article has two related aims: to evaluate some of the principal (and often untested) hypotheses for sociocultural variation in family organization among East African societies and to offer insights into both the strengths and weaknesses of the phylogenetic method for comparative anthropological studies at regional levels. We start with the expectation that the relatively fine scale variation in traits observed at the regional level is a result of adaptations to local and institutional features. As such, historical continuities will disappear as descendant populations adapt to their new environments, thereby generating a new level of independence between daughter populations. In presenting both conventional and phylogenetically informed tests of a range of hypotheses for family variation among East African societies, this article provides an empirically based assessment of the validity of this view. [ kinship, marriage, phylogenetic method, comparative method, East Africa ]     

A Theoretical and Experimental Study of Competition Between Solution and Surface Receptors for Ligand in a Biacore Flow Cell

Rate constants that characterize the kinetics of binding and dissociation between biomolecules carry fundamental information about the biological processes these molecules are involved in. An instrument that is widely used to determine these rate constants is the Biacore. In a Biacore experiment, one of the reactants, which we will call the receptor, is immobilized on a sensor chip. During the binding phase of the experiment the other reactant flows past the chip. After binding, buffer alone is introduced into the flow cell and dissociation is monitored. Often surface-based binding assays are influenced by the transport of the reactant in solution, complicating the determination of the chemical rate constants from the observed binding kinetics. We propose a new way to determine the dissociation rate constant by adding soluble receptor during dissociation. The method is tested first on simulated data and then on Biacore experiments where the lac repressor protein binds and dissociates from a stretch of double stranded DNA containing the lac repressor binding site. With this method we find a dissociation rate constant k_d=0.075 ± 0.005s^-1, a value that is faster than previously obtained from Biacore experiments. In developing our method to analyze these experiments we obtain an expression for the transport limited rate constant for a Biacore experiment when soluble receptor is present during dissociation.     

Responses of Microbial Communities to Light-Hydrocarbon Microseepage and Novel Indicators for Microbial Prospecting of Oil/Gas in the Beihanzhuang Oilfield,Northern Jiangsu,China

Previous studies on microbial prospecting of oil/gas only focused on the anomalies of light hydrocarbon-oxidizing microbes as main exploratory indicators and their exploration applications. In this study, we investigated the responses of microbial communities to light-hydrocarbon microseepage in the Beihanzhuang Oilfield, eastern China using denaturing gradient gel electrophoresis (DGGE) analysis and by comparing the difference of two-type areas with high- and low-flux light-hydrocarbon seepages. The results showed that the high-flux light-hydrocarbon seepage favored the growth of Nocardioides, Aciditerrimonas, sulphate-reducing bacteria (SRBs) related to Desulfosporosinus and Desulfovibrio, and Chloroflexi bacteria (b-7), implying that their anomalies might be adopted as novel subsidiary indicators for microbial prospecting of oil/gas in the Beihanzhuang Oilfield. Based on the newly obtained results, we have proposed a general strategy for microbial prospecting of oil/gas, i.e., to determine the anomalies of light hydrocarbon-oxidizing microbes, to select subsidiary indicators for microbial prospecting of oil/gas based on an assessment of the responses of microbial communities to light-hydrocarbon microseepage, to quantitatively measure subsidiary indicators and delimit their anomalies, to comprehensively interpret all microbial anomalies, and to make a suggestion for oil/gas prospecting. This general strategy with novel indicators may provide a more comprehensive evaluation for light-hydrocarbon microseepage and the corresponding anomalies, thereby reducing the exploration risk of oil/gas.