水稻米香基因的初步定位

香味是水稻重要食味品质性状之一,但稻米香味的遗传甚为复杂.早有报道水稻米香基因位于第八条染色体上且与RFLP标记RG28紧密连锁.本实验通过水稻籼粳亚种之间的杂交,利用SSR(Simple Sequence Repeat)分子标记的方法对水稻米香基因进行初步定位.结果表明:稻米香味性状受一对隐性基因控制,且位于第八条染色体SSR标记RM8264和RM1109之间,其遗传距离大约2.1cM.这一结果将对于米香基因的精细定位提供了重要依据.     

对农电视传媒在提高农民素质中的优势、现状及改进研究

本文对对农电视传媒在提高农民素质中的优势、现状及其改进进行了分析.     

基因多态性与速度类项目关联度探究——以第30届奥运会田径速度类项目为分析案例

目的:探讨基因多态性对速度类项目成绩的影响,以期为寻找适用于我国优秀运动员相关运动基因型提供理论依据,从而使运动选材更趋向科学性和准确性。方法:根据基因多态性所表现的个体差异,通过信息技术方法,对各洲际国家之间在速度类项目中,前八名总数进行比较分析,剖析运动员在世界体坛上创造一个又一个神话的根本原因。结论:基因多态性可以作为运动员选材分子生物学标记。建议:开展我国不同地区人群的基因多态性与运动的关联性研究,对我国寻求优秀运动员具有重要的研究价值。     

雌激素受体(ER)与基因蛋白(P53、erbB-2)在胃癌中表达的研究

目的:探讨ER、erbB-2和P53在胃癌表达及相关性。方法:取胃癌手术标本119例,SP免疫组织化学染色。结果:ER、erbB-2和P53在胃癌表达率分别为63.87％,75.51％和73.11％;三者同时阳性者31.93％;ER与P53同时阳性者37.82％;ER与erbB-2同时阳性者33.61％;ER在高分化组阳性率高于低分化组(P<0.05);而erbB-2和P53在低分化组阳性率高于高分化组。70岁以上组P53、ER和erbB-2表达率均较高。结论:ER、P53和erbB-2在胃癌中表达率与癌瘤分化程度相关。P53和erbB-2有相关性,而且它们是胃癌预后不良的指标。     

拉美中央银行的独立性研究

拉美国家为有效实施通货膨胀目标制，进行了重大的中央银行改革，以此增强中央银行的独立性。拉美央行独立性的增强表现为从法律上明确中央银行的货币政策目标，加强中央银行在政治、经济和操作上的自主性，增强中央银行的透明度、责任度和可信度，以保持物价稳定为优先目标，最终促进经济稳定增长。研究他们的改革经验对我国中央银行的改革具有一定的借鉴和启示意义。     

Quality-oriented technical change in Japanese wheat breeding

The article presents a productivity analysis of Japanese wheat breeding research. We first estimate a hedonic function to determine the marginal implicit values of Japanese wheat characteristics and find that protein contributes substantially to millers’ price offers to farmers. Induced innovation theory implies breeders thus should be responding to new protein-oriented price policies by developing high-protein wheat varieties. We test this hypothesis by estimating a distance function relating breeding resources – including what we call gene-recharge rates – to the yield and protein characteristics of discovered varieties. New varieties indeed have been protein-favoring and yield-disfavoring, suggesting government research programs have been market-oriented.     

畜禽QTL及其检测方法和策略

讨论了畜禽数量性状座位的概念、检测数量性状座位的两种方法：候选基因法和基因组扫描法,以及两种方法的优缺点,并对离ＱＴＬ的检测进展和前景作了综述。     

Shooting a metastable object: targeting as trigger for the actor-network in the open-world videogames

Targeting, to aim a crosshair at an object, is the most basic skill for a gamer to survive from enemies, solve puzzles, and make a story unfolded in videogames. As the trigger for the game objects’ reciprocal operations, this simple action functions to individuate the objects kept in their abstract initial state into the concrete functional units participating in a topological network operational in a videogame to achieve the gamer’s goal. In today’s open-world games, these objects disclose their agencies through the auras perceivable when the player characters use certain magical skills and technological aids. In this genre, a gamer’s narrative and ludic experiences, all triggered by one’s performance to target at the objects on the human side of the interface, are translated, on the machinic side, into the topological transformations of the objects’ network. As an experiment for a nonhuman turn in videogame studies, this essay examines how this topological network behind an open-world mobilizes the ludic and narrative behaviors of gamers for its never-ending transformation.     

Combining gene sequence similarity and textual information for gene function annotation in the literature

Annotation of the functions of genes and proteins is an essential step in genome analysis. Information extraction techniques have been proposed to obtain the function information of genes and proteins in the biomedical literature. However, the performance of most information extraction techniques of function annotation in the biomedical literature is not satisfactory due to the large variability in the expression of concepts in the biomedical literature. This paper proposes a framework to improve the gene function annotation in the literature by considering both the textual information in the literature and the functions of genes with sequences similar to a target gene. The new framework collects multiple types of evidence as: (i) textual information about gene functions by matching keywords of the gene functions; (ii) gene function information from the known functions of genes with sequences similar to a target gene; and (iii) the prior probabilities of gene functions to be associated with an arbitrary gene by mining the known gene functions from curated databases. A supervised learning method is utilized to obtain the weights for combining the three types of evidence to assign appropriate Gene Ontology terms for target genes. Empirical studies on two testbeds demonstrate that the combination of sequence similarity scores, function prior probabilities and textual information improves the accuracy of gene function annotation in the literature. The F-measure scores obtained with the proposed framework are substantially higher than the scores of the solutions in prior research.