我国网络数据库建设亮点评析

文章分析了网络对数据库建设的影响 ,探讨了近年来我国网络数据库建设中的几个亮点 ,并分别给予了简短的评价。

因特网的分析索引:乌托邦的梦想

检索互无关联的信息条目和数字内容时,所有查询因特网资源的方法都变得力不从心。本文通过研究现有的因特网查询方法、传统的书目控制和网站设计,探讨了对分析索引的需求问题。通过对这些索引的开发、设计和资源筛选过程中遇到的相关问题的讨论,得出一个结论,即在因特网上创建全面的分析索引不现实,而创建小型具体化的索引可能是查询某些具体数字信息的最佳途径。

Increasing Accumulation Level of Foreign Protein in Transgenic Plants Through Protein Targeting

Targeting of the synthesized polypeptide in the cells is an important research field in modern cell biology. Cowpea trypsin inhibitor (cpti) gene has been modified and a fusion protein gene (sck) was produced by fusing a signal peptide sequence at cpti 5' end and an endoplasm reticulum (ER) retention signal peptide at cpti3' end respectively. The signal peptide can direct the newly synthesized polypeptide into ER, while ER retention signal can make the protein retained in the ER and its derivative protein body. ELISA test indicated that the accumulation level of foreign CpTI protein in sck transgenic tobacco (Nicotiana tabacum L.) was two times higher than cpti transgenic tobaccos and some individuals were four times higher. At the same time, sck transgenic tobacco has a high resistance to Lepidoptera pest due to the increased accumulation level of foreign CpTI protein. The strategy of foreign protein targeting can be used to increase the accumulation level of foreign protein in transgenic plants and can be widely applied to other related research field in plant genetic engineering.

The Application of Automatic Routing Technology in the Logistics System based on Intemet of Things

According to the development trend of intelligent logistics in our country, combining database, communication, GIS （Geography lnfolrnation System） technology, the paper study the key core technology of each module monitoring platform for vehicle monitoring system, and establish logistics transport vehicle monitoring platform that oriented small and medium-sized logistics enterprises, to realize the whole process of real-time monitoring for logistics and transport the vehicle from the warehouse to transportation, promote the informationization of logistics and transport.

Based on Laboratory Management of the Intemet of Things Technology Progress And Research

Laboratory information management based on the technology of Interact of things technology is the development trend of digital and information technology education in our country and the inevitable choice. Through the fiLnher study of the current situation of laboratory management in colleges and universities and the characteristics of the Internet of things technology, this paper introduces the concept of Interact of things tec^mology, history and current situation of the development. With the most representative IOT architecture and Ubiquitous ID IOT system as an example, analyzes the RFID technology, sensor network and detection technology, intelligent technology and characteristics of Nanometer technology. Analysis the technical foundation for the development of the campus Interact of things, and give the Internet of things technology in the application of the laboratory management technology.

Study on Smart Grid Technology based on Intemet of Things

The paper design integrated management platform that include network equipment, network communication, perception of data fusion, the application platform of four levels that achieve complete smart grid operation management system. Internet information support system through integration and integration on the grid basic information hierarchical get longitudinal and horizontal information integration, to provide reliable information support for smart grid.

Service-Oriented Middleware for Heterogeneous Environment in Intemet of Things

A great number of sensor technologies are applied in the Intemet of Things （loT） currently and more are emerging, which rmkes the loT a heterogeneous network. This paper discusses the convergence and integration problem in IoT. A Service-Oriented Middleware for Heterogeneous Environment （SOMHE） in IoT is proposed. The purpose of the middleware is to shield the differ- ence between protocols in the sensor layers such as Radio Frequency Identification （RFID） and Zig-Bee by defining the data conversion and mapping model. A Web service interface is supplied by this middleware, thus the complexity of high level appli-cation development can be reduced greatly. The feasibility and reliability of this middleware is veri-fied by a demonstration systelTL

Construction of Two Gateway-compatible Destination Vectors for Tomato Functional Genomics under Abiotic Stress

[Objective] This research aimed at constructing two gateway-compatible plant expression vectors for functional genomics of abiotic stress in tomato.[Method] pK2GW7I was generated from the plant expression vector pK2GW7,0 by replacing the CaMV 35S promoter with abiotic-stress inducible plant promoter pRD29A,which was derived from the promoter of Arabidopsis gene RD29A.pKGW121 was generated by replacing the CaMV 35S of the plant expression vector pRD410 with the gateway recombinant cassette(attR1-cmR-ccdB-attR2)from pK2GW7,0.Constitutive and root-specific promoters were tested on pKGW121.[Result] Two gateway-compatible destination vectors,pK2GW7I and pKGW121,were successfully constructed;practicability test proved that pKGW121 was applicable for promoter analysis.[Conclusion] With the incorporation of gateway cloning technology or abiotic-stress inducible promoter,pKGW121 and pK2GW7I will be promising in large-scale investigation of tomato functional genes associated with various abiotic stresses.A high-throughput workflow for the construction of plant transformation vector was proposed and validated.

The effect of transposable elements on phenotypic variation： insights from plants to humans

Transposable elements(TEs), originally discovered in maize as controlling elements, are the main components of most eukaryotic genomes. TEs have been regarded as deleterious genomic parasites due to their ability to undergo massive amplification. However, TEs can regulate gene expression and alter phenotypes. Also, emerging findings demonstrate that TEs can establish and rewire gene regulatory networks by genetic and epigenetic mechanisms. In this review, we summarize the key roles of TEs in fine-tuning the regulation of gene expression leading to phenotypic plasticity in plants and humans, and the implications for adaption and natural selection.

microRNAs in a multicellular green alga Volvox carteri

microRNAs(miRNAs)have emerged as key components in the eukaryotic gene regulatory network.We and others have previously identified many miRNAs in a unicellular green alga,Chlamydomonas reinhardtii.To investigate whether miRNA-mediated gene regulation is a general mechanism in green algae and how miRNAs have been evolved in the green algal lineage,we examined small RNAs in Volvox carteri,a multicellular species in the same family with Chlamydomonas reinhardtii.We identified 174 miRNAs in Volvox,with many of them being highly enriched in gonidia or somatic cells.The targets of the miRNAs were predicted and many of them were subjected to miRNA-mediated cleavage in vivo,suggesting that miRNAs play regulatory roles in the biology of green algae.Our catalog of miRNAs and their targets provides a resource for further studies on the evolution,biological functions,and genomic properties of miRNAs in green algae.

Simultaneous inference of phenotype-associated genes and relevant tissues from GWAS data via Bayesian integration of multiple tissue-specific gene networks

Although genome-wide association studies （GWAS） have successfully identified thousands of genomic loci associated with hun- dreds of complex traits in the past decade, the debate about such problems as missing heritabiUty and weak interpretability has been appealing for effective computational methods to facilitate the advanced analysis of the vast volume of existing and antici- pated genetic data. Towards this goal, gene-tevel integrative GWAS analysis with the assumption that genes associated with a phenotype tend to be enriched in biological gene sets or gene networks has recently attracted much attention, due to such advan- tages as straightforward interpretation, tess multiple testing burdens, and robustness across studies. However, existing methods in this category usually exploit non-tissue-specific gene networks and thus lack the ability to utilize informative tissue-specific characteristics. To overcome this limitation, we proposed a Bayesian approach called SIGNET （Simultaneously Inference of GeNEs and Tissues） to integrate GWAS data and multiple tissue-specific gene networks for the simultaneous inference of phenotype- associated genes and relevant tissues. Through extensive simulation studies, we showed the effectiveness of our method in find- ing both associated genes and relevant tissues for a phenotype. In applications to real GWAS data of 14 complex phenotypes, we demonstrated the power of our method in both deciphering genetic basis and discovering biological insights of a phenotype. With this understanding, we expect to see SIGNET as a valuable tool for integrative GWAS analysis, thereby boosting the preven- tion, diagnosis, and treatment of human inherited diseases and eventually facilitating precision medicine.

Network of tRNA Gene Sequences

A network of 3719 tRNA gene sequences was constructed using simplest alignment. Its topology, degree distribution and clustering coefficient were studied. The behaviors of the network shift from fluctuated distribution to scale-free distribution when the similarity degree of the tRNA gene sequences increases. The tRNA gene sequences with the same anticodon identity are more self-organized than those with different anticodon identities and form local clusters in the network. Some vertices of the local cluster have a high connection with other local clusters, and the probable reason was given. Moreover, a network constructed by the same number of random tRNA sequences was used to make comparisons. The relationships between the properties of the tRNA similarity network and the characters of tRNA evolutionary history were discussed.