A tailing genome walking method suitable for genomes with high local GC content

The tailing genome walking strategies are simple and efficient. However, they sometimes can be restricted due to the low stringency of homo-oligomeric primers. Here we modified their conventional tailing step by adding polythymidine and polyguanine to the target single-stranded DNA (ssDNA). The tailed ssDNA was then amplified exponentially with a specific primer in the known region and a primer comprising 5′ polycytosine and 3′ polyadenosine. The successful application of this novel method for identifying integration sites mediated by φC31 integrase in goat genome indicates that the method is more suitable for genomes with high complexity and local GC content.     

Social encounter networks: characterizing Great Britain

A major goal of infectious disease epidemiology is to understand and predict the spread of infections within human populations, with the intention of better informing decisions regarding control and intervention. However, the development of fully mechanistic models of transmission requires a quantitative understanding of social interactions and collective properties of social networks. We performed a cross-sectional study of the social contacts on given days for more than 5000 respondents in England, Scotland and Wales, through postal and online survey methods. The survey was designed to elicit detailed and previously unreported measures of the immediate social network of participants relevant to infection spread. Here, we describe individual-level contact patterns, focusing on the range of heterogeneity observed and discuss the correlations between contact patterns and other socio-demographic factors. We find that the distribution of the number of contacts approximates a power-law distribution, but postulate that total contact time (which has a shorter-tailed distribution) is more epidemiologically relevant. We observe that children, public-sector and healthcare workers have the highest number of total contact hours and are therefore most likely to catch and transmit infectious disease. Our study also quantifies the transitive connections made between an individual''s contacts (or clustering); this is a key structural characteristic of social networks with important implications for disease transmission and control efficacy. Respondents'' networks exhibit high levels of clustering, which varies across social settings and increases with duration, frequency of contact and distance from home. Finally, we discuss the implications of these findings for the transmission and control of pathogens spread through close contact.     

生态环境移动数据采集系统研究与实现

针对快速、实时、有效采集并录入生态环境野外调查大样本量、多源数据的需求,充分应用移动GIS技术、移动智能终端、3G等现代信息技术优势,提出了基于ArcGIS for Mobile的移动数据采集方案,研究解决了包括系统运行机制、数据访问模式、移动数据库技术等面向全国生态环境野外调查的移动GIS关键技术,设计并研发野外调查移动数据采集系统。该系统采用C#和Java语言,以SQL Server 2008 为服务器端的数据库环境,在Microsoft Visual Studio 2008集成开发环境上实现设计开发,并在全国生态环境10年变化遥感调查与评估项目土地覆盖类型地面核查、生态系统参数野外观测等工作中予以应用。实践检验表明：该系统实现了野外调查数据的数字采集、智能校验、实时上传与有效管理,简化了填报程序,规范了填报内容,提高了工作效率,能够为生态环境相关的调查数据采集提供信息化支持。     

北京城区气传花粉季节分布特征

研究北京城区气传花粉种类、数量及季节消长规律,为防治花粉症及建设合理城市绿地提供有效资料.应用Burkard采样器于2010年12月31日至2011年12月31日对北京城区气传花粉浓度进行监测,并对花粉浓度进行统计学分析.研究结果显示,2011年北京城区的花粉季节从3月20日起始,至10月18日截止,持续213d,占全年天数的58％;全年花粉含量月分布呈现两个高峰,第1个高峰为3-4月,主要花粉为木犀科、杨属、柳属等树木花粉,占全年花粉总量的30％;第2个高峰为8-9月,主要花粉为菊科、藜科及苋科等莠草花粉,占全年花粉总量的50％;2011年度北京城区最具代表性的气传花粉来自于菊科,比重占了收集到气传花粉的35％.研究结果还表明,秋季的气传花粉致敏性强,所以北京花粉症的高发季节主要集中在秋季,以8-9月为最高,其中有95％的病人在此期间出现花粉症症状.花粉浓度及飘散规律受当地植被状况及气候等多种因素影响,因此,北京城区空气中气传花粉飘散种类、数量及季节分布规律的调查结果,可以为本地区花粉症防治及绿化品种的选择提供可靠依据.     

RNA approaches the B‐form in stacked single strand dinucleotide contexts

Duplex RNA adopts an A‐form structure, while duplex DNA interconverts between the A‐ and B‐forms depending on the environment. The C2′‐endo sugar pucker seen in B‐form DNA can occur infrequently in ribose sugars as well, but RNA is not understood to assume B‐form conformations. Through analysis of over 45,000 stacked single strand dinucleotide (SSD) crystal structure conformations, this study demonstrates that RNA is capable of adopting a wide conformational range between the canonical A‐ and B‐forms at the localized SSD level, including many B‐form‐like conformations. It does so through C2′‐endo ribose conformations in one or both nucleotides, and B‐form‐like neighboring base stacking patterns. As chemical reactions on nucleic acids involve localized changes in chemical bonds, the understanding of how enzymes distinguish between DNA and RNA nucleotides is altered by the energetic accessibility of these rare B‐form‐like RNA SSD conformations. The existence of these conformations also has direct implications in parametrization of molecular mechanics energy functions used extensively to model nucleic acid behavior., 2016. © 2015 Wiley Periodicals, Inc. Biopolymers 105: 65–82, 2016     

Multidimensional biases,gaps and uncertainties in global plant occurrence information

Plants are a hyperdiverse clade that plays a key role in maintaining ecological and evolutionary processes as well as human livelihoods. Biases, gaps and uncertainties in plant occurrence information remain a central problem in ecology and conservation, but these limitations remain largely unassessed globally. In this synthesis, we propose a conceptual framework for analysing gaps in information coverage, information uncertainties and biases in these metrics along taxonomic, geographical and temporal dimensions, and apply it to all c. 370 000 species of land plants. To this end, we integrated 120 million point‐occurrence records with independent databases on plant taxonomy, distributions and conservation status. We find that different data limitations are prevalent in each dimension. Different metrics of information coverage and uncertainty are largely uncorrelated, and reducing taxonomic, spatial or temporal uncertainty by filtering out records would usually come at great costs to coverage. In light of these multidimensional data limitations, we discuss prospects for global plant ecological and biogeographical research, monitoring and conservation and outline critical next steps towards more effective information usage and mobilisation. Our study provides an empirical baseline for evaluating and improving global floristic knowledge, along with a conceptual framework that can be applied to study other hyperdiverse clades.     

鸟类基因组核苷酸频数的进化模型

鸟类是四足类动物中最丰富的一类脊椎动物,本研究以12种鸟类的全基因组核苷酸序列数据为研究对象,建立核苷酸频数进化方程,研究了鸟类基因组核苷酸频数的进化机制和规律。通过拟合基因组数据确定了方程中的进化惯性参数、耗散参数和环境参数,估算出进化速率,得到了基因组长度随时间的演化曲线,解出了基因组在短时间内快速增加,信息快速积累,然后进入进化停滞阶段,核苷酸频数不再明显变化。本研究的方法为定量研究鸟类和一般物种的进化提供了新的思路。