污水处理芽孢杆菌的抗盐诱变育种技术研究

污染海水的处理是沿海城市生态环境治理中迫切需要解决的问题,培育耐盐污水处理菌种具有重要实践意义.对处理污水的芽孢杆菌Y进行抗盐诱变育种,分别采用紫外线照射、NTG、及60Coγ等方法,选出最佳诱变方法为NTG900μg/m与60Coγ200 Gy的复合处理.     

木聚糖酶高产菌株Q116诱变选育研究

以黑曲霉D8为出发菌株,采用60Coγ-射线,NTG处理等方法筛选得到黑曲霉木聚糖酶变异菌株Q116.在固体发酵试验中,酶活达到182611U/g.经过连续的传代保存,此菌株有良好的遗传稳定性,并对发酵条件进行了试验.     

NTG诱发“产黄青霉菌”产生营养缺陷型突变体的研究报道

采用超诱变剂N-甲基-N-硝基-N亚硝基胍(NTG)对青霉素产生菌产黄青霉进行诱变处理、筛选既具有不同营养要求又具有不同孢子颜色变化的突变体、并比较NTG同紫外线和亚硝酸的诱变效应。     

樱桃根癌病生防菌诱变分析

以根癌病生防菌K3为出发菌,经紫外、NTG（N-甲基-N-硝基-N-亚硝基胍）、Co60单因素诱变处理,确定其单因素的最佳诱变时间、剂量,并进行复合诱变研究。实验结果表明,最佳复合诱变组合为紫外线60s、NTG500ug·mL-1和Co60 400GY,复合诱变的突变菌株HC的最大提高值和平均提高值都高于单因素诱变,并获得-株HC提高值为42．8％的突变菌。     

环孢菌素A产生菌诱变育种及发酵条件研究

采用UV、NTG复合诱变的方法对产环孢菌素A的茄病镰刀菌(Fusarinm solani)进行诱变处理,在含制霉菌素的平板上筛选到产生环孢菌素A水平较高的突变菌株FS-un26,并对突变菌株的发酵条件进行了优化研究,使环孢菌素产量比出发菌株提高了20.6%.     

亚硝基胍与紫外诱变选育高效解钾菌株

为构建遗传背景差异较大、解钾性能稳定提高的候选菌库,选用课题组分离的蜡样芽孢杆菌L18（Bacillus cereus,KF494191) 为出发菌株,对其分别进行亚硝基胍（NTG）和紫外（UV）诱变处理,经四苯硼钠-季铵盐显色初筛,摇瓶发酵复筛,获得42株解钾能力显著增强的突变株,其中：诱变株L18-NTG-151和L18-UV-68发酵液钾质量浓度分别为126.74,121.69 mg/L,与出发菌株相比分别提高了63.64%和57.12%.结果表明亚硝基胍和紫外线诱变处理能显著提高蜡样芽胞杆菌的解钾能力.     

高产L-乳酸菌的选育

作者从酸菜中筛选到一株L-乳酸产生菌,实验发现最佳的DES诱变条件是2%20min,NTG诱变条件是250μg/mL 35min。经过DES和NTG诱变,使该株菌产L-乳酸达到92g/L,较出发菌提高了一倍。本文为L-乳酸菌的选育提供了参考依据。     

透明质酸产生菌的化学诱变及发酵条件探索

以兽疫链球菌（Streptococcus zooepidemicus）C55151为原始菌种, 经N-甲基-N-硝基-N-亚硝基胍（NTG）诱变处理, 获得一株高产透明质酸（Hyaluroni c acid, HA）的变异株J18, 其HA产量较原始株提高一倍. 利用正交设计试验探索出该变异株的最佳发酵培养基配比为葡萄糖50 g/L, 酵母膏30 g/L, 硫酸镁0.5 g/L.　发现添加十二烷基硫酸钠（SDS）能够大幅度提高HA产量． 同时对原始株、 变异株的发酵过程进行了研究, 发现变异株J18在发酵的任何时间, 其HA产量都高于原始菌种, 且菌体浓度与发酵液中的葡萄糖浓度及pH值呈负相关性.     

漏斗状侧耳纤维素酶高活性变株的选育与产酶条件和酶特性研究

以漏斗状侧耳5·01为出发菌株,用NTG和UV依次对孢子、单核菌丝和双核菌丝进行处理,获得了微晶纤维素酶活和羧甲基纤维素酶活分别是出发菌株2.86倍和2.51倍的突变株HCA15。正交试验结果表明:该变株在含有棉籽壳粉、尿素、麸皮、纤维二糖的培养基中酶活高。产酶的最适pH为5.6,最适温度为28℃。酶作用的最适pH为4.6,最适温度为40℃。酶在pH5.0时最稳定,在50℃以上不稳定。     

海洋低温BS070623菌株选育及其发酵培养基优化（Ⅰ）

以大连渤海湾分离260余株低温条件下生长良好的菌株为出发菌株,利用双层平板筛选方法选出2株低温蛋白酶产生菌(Bacillus subtilis).经UV、DES、NTG、EMS、LiCl单独及复合诱变,选育出一株(BS070623)蛋白酶高产突变株.通过单因素实验,确定了BS070623菌株蛋白酶发酵培养基为:玉米淀粉糖0.8%,豆饼粉1.4%,磷酸氢二钾1.0%,磷酸二氢钾0.7%.上述条件下该突变株低温蛋白酶产量为913.2 U/mg.     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.