用马铃薯人工饲养马铃薯块茎蛾的方法

介绍一种马铃薯块茎蛾Phthorimaeaoperculella的室内人工饲养方法。在人工养虫室内用 1 0 %的蜂蜜水喂养成虫 ,用滤纸收集卵块 ,幼虫在薯块上饲养 ,化蛹于牛皮纸卷成的纸筒中 ,饲养结果发现马铃薯块茎蛾完成 1代大约需要 35～ 4 6d ,室内连续饲养块茎蛾 3代 ,卵的孵化率、幼虫化蛹率、成虫羽化率均在 90 %以上。     

Fishing new proteins in the twilight zone of genomes: the test case of outer membrane proteins in Escherichia coli K12, Escherichia coli O157:H7, and other Gram-negative bacteria

We address the problem of clustering the whole protein content of genomes into three different categories-globular, all-alpha, and all-beta membrane proteins-with the aim of fishing new membrane proteins in the pool of nonannotated proteins (twilight zone). The focus is then mainly on outer membrane proteins. This is performed by using an integrated suite of programs (Hunter) specifically developed for predicting the occurrence of signal peptides in proteins of Gram-negative bacteria and the topography of all-alpha and all-beta membrane proteins. Hunter is tested on the well and partially annotated proteins (2160 and 760, respectively) of Escherichia coli K 12 scoring as high as 95.6% in the correct assignment of each chain to the category. Of the remaining 1253 nonannotated sequences, 1099 are predicted globular, 136 are all-alpha, and 18 are all-beta membrane proteins. In Escherichia coli 0157:H7 we filtered 1901 nonannotated proteins. Our analysis classifies 1564 globular chains, 327 inner membrane proteins, and 10 outer membrane proteins. With Hunter, new membrane proteins are added to the list of putative membrane proteins of Gram-negative bacteria. The content of outer membrane proteins per genome (nine are analyzed) ranges from 1.5% to 2.4%, and it is one order of magnitude lower than that of inner membrane proteins. The finding is particularly relevant when it is considered that this is the first large-scale analysis based on validated tools that can predict the content of outer membrane proteins in a genome and can allow cross-comparison of the same protein type between different species.     

Predicting demographic group structures based on DNA sequence data

The ability to infer relationships between groups of sequences, either by searching for their evolutionary history or by comparing their sequence similarity, can be a crucial step in hypothesis testing. Interpreting relationships of human immunodeficiency virus type 1 (HIV-1) sequences can be challenging because of their rapidly evolving genomes, but it may also lead to a better understanding of the underlying biology. Several studies have focused on the evolution of HIV-1, but there is little information to link sequence similarities and evolutionary histories of HIV-1 to the epidemiological information of the infected individual. Our goal was to correlate patterns of HIV-1 genetic diversity with epidemiological information, including risk and demographic factors. These correlations were then used to predict epidemiological information through analyzing short stretches of HIV-1 sequence. Using standard phylogenetic and phenetic techniques on 100 HIV-1 subtype B sequences, we were able to show some correlation between the viral sequences and the geographic area of infection and the risk of men who engage in sex with men. To help identify more subtle relationships between the viral sequences, the method of multidimensional scaling (MDS) was performed. That method identified statistically significant correlations between the viral sequences and the risk factors of men who engage in sex with men and individuals who engage in sex with injection drug users or use injection drugs themselves. Using tree construction, MDS, and newly developed likelihood assignment methods on the original 100 samples we sequenced, and also on a set of blinded samples, we were able to predict demographic/risk group membership at a rate statistically better than by chance alone. Such methods may make it possible to identify viral variants belonging to specific demographic groups by examining only a small portion of the HIV-1 genome. Such predictions of demographic epidemiology based on sequence information may become valuable in assigning different treatment regimens to infected individuals.     

Soil organic carbon density and influencing factors in tropical virgin forests of Hainan Island,China

Aims
Estimating soil organic carbon (SOC) density and influence factors of tropical virgin forests in Hainan Island provide new insight in basic data for SOC pool estimation and its dynamics study.
Methods
The main distribution areas of tropical virgin forests in Jianfengling (JFL), Bawangling (BWL), Wu- zhishan (WZS), Diaoluoshan (DLS), Yinggeling (YGL) of Hainan Island were selected, and soil samples (0-100 cm) were sampled and analyzed. SOC density was estimated by soil vertical fitting method and soil stratification method to discover the distribution characteristics of soil organic carbon in tropical virgin forests of Hainan Island.
Important findings
Results showed that: (1) The average SOC density using soil vertical fitting method in JFL, BWL, WZS, DLS and YGL was 14.98, 18.46, 16.48, 18.81, 16.66 kg·m^-2, respectively, which was significantly higher (p < 0.05) than the estimated average SOC density using soil stratification method in these areas (14.73, 16.24, 15.50, 16.91, 15.03 kg·m^-2, respectively). It is better to use soil vertical fitting method for SOC density estimation when the soil was natural without disturbance. (2) The proportion of SOC content in the first 0-30 cm depth interval out of SOC in the whole 0-100 cm soil profiles in JFL, BWL, WZS, DLS and YGL was 50.50%, 48.56%, 43.49%, 47.37%, 42.88%, respectively. (3) SOC density was significantly negative correlated with Shannon-Wiener index, Simpson index, species richness, and soil bulk density; and was significantly positive correlated with altitude, soil porosity, and soil nitrogen. However, SOC density was not significantly correlated to slope, biomass, average diameter at breast height, or average height. (4) Our study area Hainan was located in low latitude area with high rainfall and high temperature, which accelerated the decomposition of organic matter and nutrient recycling, resulting in significantly lower SOC densities in this tropical virgin forests of Hainan Island than the average value in China.     

Ranking predicted protein structures with support vector regression

Protein structure prediction is an important problem of both intellectual and practical interest. Most protein structure prediction approaches generate multiple candidate models first, and then use a scoring function to select the best model among these candidates. In this work, we develop a scoring function using support vector regression (SVR). Both consensus-based features and features from individual structures are extracted from a training data set containing native protein structures and predicted structural models submitted to CASP5 and CASP6. The SVR learns a scoring function that is a linear combination of these features. We test this scoring function on two data sets. First, when used to rank server models submitted to CASP7, the SVR score selects predictions that are comparable to the best performing server in CASP7, Zhang-Server, and significantly better than all the other servers. Even if the SVR score is not allowed to select Zhang-Server models, the SVR score still selects predictions that are significantly better than all the other servers. In addition, the SVR is able to select significantly better models and yield significantly better Pearson correlation coefficients than the two best Quality Assessment groups in CASP7, QA556 (LEE), and QA634 (Pcons). Second, this work aims to improve the ability of the Robetta server to select best models, and hence we evaluate the performance of the SVR score on ranking the Robetta server template-based models for the CASP7 targets. The SVR selects significantly better models than the Robetta K*Sync consensus alignment score.     

响应面法优化微波辅助提取山苍子核仁油的研究

通过微波辅助提取技术结合响应面法优化山苍子核仁油提取条件,以期建立更高产率的提取方法。该研究在单因素设计基础上,选取液料比、微波功率、萃取时间、萃取温度4个主要因素,分析这4个因素对山苍子核仁油提取率的影响。结果表明:通过建立多元回归拟合分析,得出山苍子核仁油提取最佳工艺条件为液料比1∶16,萃取温度为69℃,微波功率为337 W,萃取时间为63 min,在此条件下山苍子核仁油提取率为37.42%,与环己烷溶剂回流法相比较提取率提高了30.11%。气质联用仪分析结果显示,山苍子核仁油主要成分有16种占总成分的88.21%,鉴定出10种脂肪酸占总成分的78.24%,饱和脂肪酸有4种占总成分的43.23%,不饱和脂肪酸有6种占总成分的35.01%,脂肪酸中含量最高的为月桂酸(31.36%)。该研究结果表明该方法严谨、可靠,采用微波辅助提取山苍子核仁油是可行的。     

Novel 5-HT7R antagonists,arylsulfonamide derivatives of (aryloxy)propyl piperidines: Add-on effect to the antidepressant activity of SSRI and DRI,and pro-cognitive profile

A novel series of arylsulfonamide derivatives of (aryloxy)propyl piperidines was designed to obtain potent 5-HT₇R antagonists. Among the compounds evaluated herein, 3-chloro-N-{1-[3-(1,1-biphenyl-2-yloxy)2-hydroxypropyl]piperidin-4-yl}benzenesulfonamide (25) exhibited antagonistic properties at 5-HT₇R and showed selectivity over selected serotoninergic and dopaminergic receptors, as well as over serotonin, noradrenaline and dopamine transporters. Compound 25 demonstrated significant antidepressant-like activity in the forced swim test (0.625–2.5 mg/kg, i.p.) and in the tail suspension test (1.25 mg/kg, i.p.), augmented the antidepressant effect of inactive doses of escitalopram (selective serotonin reuptake inhibitor) and bupropion (dopamine reuptake inhibitor) in the FST in mice, and similarly to SB-269970, exerted pro-cognitive properties in the novel object recognition task in cognitively unimpaired conditions in rats (0.3 mg/kg, i.p.). Such an extended pharmacological profile, especially the augmentation effect of the identified 5-HT₇R antagonist on SSRI activity, seems promising regarding the complexity of affective disorders and potentially improved outcomes, including mnemonic performance.     

基于选择实验的三江平原湿地生态系统服务功能价值评价及偏好异质性研究

维持与保护生态系统服务功能是实现可持续发展的基础,定量评价湿地生态系统服务功能的经济价值已成为当前生态学领域研究的前沿课题。以三江平原湿地为研究对象,应用选择实验法,选取湿地面积、生物多样性、水源涵养和自然景观等4项湿地属性,运用随机参数Logit模型(RPL)对其进行货币化评价,并结合潜在分类模型(LCM)证实并解释公众对湿地生态系统服务功能的偏好异质性。研究结果显示:湿地生态系统服务功能的价值依次为水源涵养湿地面积生物多样性自然景观。对于维持当前各项湿地生态系统服务功能的总价值为14.61亿元/a,改善价值为98.58亿元/a。此外,研究发现受访者可分为资源偏好型、景观偏好型和价格敏感型等3个潜在类别,不同类型的群体对湿地生态系统服务功能存在不同偏好;女性和更高学历的受访者更偏好于资源保护,高收入和到景区旅游次数多的受访者更偏好于景观保护,而教育和收入水平越低的受访者更倾向于选择价格较低的湿地管理方案。研究有助于湿地可持续管理政策的优化设计,为相关环境政策的制定提供理论依据。     

Measurement of pO2 by luminescence lifetime spectroscopy: A comparative study of the phototoxicity and sensitivity of [Ru(Phen)3]2+ and PdTCPP in vivo

Dysfunctions in tissue metabolism can be detected at early stages by oxygen partial pressure (pO₂) measurement. The measurement of emission lifetimes offers very promising and non‐invasive approach to estimate pO₂ in vivo. This study compares two extensively used oxygen sensors and assesses their in vivo oxygen sensitivity and phototoxic effect. Luminescence lifetime of Ru‐polypyridyl complex and of Pd‐porphyrin is measured in the Chick's Chorioallantoic Membrane (CAM) model with a dedicated optical fiber‐based, time‐resolved spectrometer. The Pd‐porphyrin luminescence lifetimes measured in the CAM model exposed to different pO₂ levels are longer and have a broader dynamic range (10–100 μs) than those of Ru‐polypyridyl complex (0.6–1 μs). The combined statistical analysis based on an estimate of the kurtosis and skewness, bootstrapping method and routine normality tests is performed. The indicators of the averages and signal to noise ratio stability are also calculated. The combination of several data processing allows selection of the better sensor for a given application. In particular, it is found that the advantage of Ru‐polypyridyl complex over Pd‐porphyrin is two‐fold: i) Ru‐polypyridyl complex datasets have consistently better statistical characteristics, ii) Ru‐polypyridyl exhibits lower cytotoxicity.

     

利用小波变换的一种快速预测基因方法

三周期性是大多数基因组序列的编码区所具有的主要特征.本文提出只计算1/3频率点的傅里叶频谱的快速计算方法,并用它分析DNA序列的三周期性,再利用小波变换在一定尺度下滤波来实现对DNA序列编码区的预测.理论分析和大量计算机实验证实了方法的有效性,预测效果良好.该方法运算快速,不需要任何训练组,也不依赖于现有数据库的信息.