Molecular cloning and characterization of a catalase gene from Zhikong scallop Chlamys farreri

Catalase is one of the central enzymes involved in scavenging the high level of reactive oxygen species (ROS) by degradation of hydrogen peroxide to oxygen and water. The full-length catalase cDNA of Zhikong scallop Chlamys farreri (denoted as CfCAT) was identified from hemocytes by expressed sequence tag (EST) and rapid amplification of cDNA ends (RACE) approaches. The nucleotide sequence of CfCAT cDNA consisted of 3146 bp with a 5' UTR of 103 bp, an unusually long 31 UTR of 1519 bp with a canonical polyadenylation signal sequence AATAAA and a potyA tail, and an open reading frame (ORF) of 1521 bp encoding a polypeptide of 507 amino acids with predicted molecular weight of 57.5 kDa. The deduced amino acid sequence of CfCAT has significant homology to catalases from animals, plants and bacteria. Several highly conserved motifs including the proximal heme-ligand signature sequence RLFSYNDTH, the proximal active site signature FNRERIPERVVHAKGGGA, and the three catalytic amino acid residues of His(72), Asn(145) and Tyr(355) were identified in the deduced amino acid sequence of CfCAT. The CfCAT was demonstrated to be a peroxisomal glycoprotein with two potential glycosylation sites and a peroxisome targeting signal of ANL that was consistent with human, mouse and rat catalases. The time-course expression of CfCAT in hemocytes was measured by quantitative real-time PCR. The expression of CfCAT increased gradually and reached the highest point at 12 h post-Vibrio infection, then recovered to the original level at 24 h. All these results indicate that CfCAT, a constitutive and inducible protein, is a member of the catalase family and is involved in the process against ROS in scallop. (c) 2007 Published by Elsevier Ltd.

人口统计信息空间可视化系统研究

Population research is a front area concerned by domestic and overseas, especially its researches on its spatial visualization and its geo-visualization system design, which provides a sound base for understanding and analysis of the regional difference in population distribution and its spatial rules. With the development of GIS, the theory of geo-visualization more and more plays an important role in many research fields, especially in population information visualization, and has been made the big achievements recently. Nevertheless, the current research is less attention paid to the system design for statistical-geo visualization for population information. This paper tries to explore the design theories and methodologies for statistical-geo-visualization system for population information. The researches are mainly focused on the framework, the methodologies and techniques for the system design and construction. The purpose of the research is developed a platform for population atlas by the integration of the former owned copy software of the research group in statistical mapping system. As a modern tool, the system will provide a spatial visual environment for user to analyze the characteristics of population distribution and differentiate the interrelations of the population components. Firstly, the paper discusses the essentiality of geo-visualization for population information and brings forward the key issue in statistical-geo visualization system design based on the analysis of inland and international trends. Secondly, the geo-visualization system for population design, including its structure, functionality, module, user interface design, is studied based on the concepts of theory and technology of geo-visualization. The system design is proposed and further divided into three parts: support layer, technical layer, user layer. The support layer is a basic operation module and main part of the system. The technical layer is a core part of the system, supported by database and function modules. The database module mainly include the integrated population database (comprises spatial data, attribute data and geographical features information), the cartographic symbol library, the color library, the statistical analysis model. The function module of the system consists of thematic map maker component, statistical graph maker component, database management component and statistical analysis component. The user layer is an integrated platform, which provides the functions to design and implement a visual interface for user to query, analysis and management the statistic data and the electronic map. Based on the above, China's E-atlas for population was designed and developed by the integration of the national fifth census data with 1:400 million scaled spatial data. The atlas illustrates the actual development level of the population nowadays in China by about 200 thematic maps relating with 10 map categories(environment, population distribution, sex and age, immigration, nation, family and marriage, birth, education, employment, house). As a scientific reference tool, China's E-atlas for population has already received the high evaluation after published in early 2005. Finally, the paper makes the deep analysis of the sex ratio in China, to show how to use the functions of the system to analyze the specific population problem and how to make the data mining. The analysis results showed that: 1. The sex ratio has been increased in many regions after fourth census in 1990 except the cities in the east region, and the high sex ratio is highly located in hilly and low mountain areas where with the high illiteracy rate and the high poor rate; 2. The statistical-geo visualization system is a powerful tool to handle population information, which can be used to reflect the regional differences and the regional variations of population in China and indicate the interrelations of the population with other environment factors. Although the author tries to bring up a integrate design frame of the statistical-geo visualization system, there are still many problems needed to be resolved with the development of geo-visualization studies.