Likelihood Methods for Binary Responses of Present Components in a Cluster

Summary In some biomedical studies involving clustered binary responses (say, disease status), the cluster sizes can vary because some components of the cluster can be absent. When both the presence of a cluster component as well as the binary disease status of a present component are treated as responses of interest, we propose a novel two‐stage random effects logistic regression framework. For the ease of interpretation of regression effects, both the marginal probability of presence/absence of a component as well as the conditional probability of disease status of a present component, preserve the approximate logistic regression forms. We present a maximum likelihood method of estimation implementable using standard statistical software. We compare our models and the physical interpretation of regression effects with competing methods from literature. We also present a simulation study to assess the robustness of our procedure to wrong specification of the random effects distribution and to compare finite‐sample performances of estimates with existing methods. The methodology is illustrated via analyzing a study of the periodontal health status in a diabetic Gullah population.     

Checklist of Commelinaceae of Equatorial Guinea (Annobón,Bioko and Río Muni)

A checklist of Commelinaceae of Equatorial Guinea, comprising 46 taxa in 12 genera, is presented. The best represented genus is Palisota, with 11 species. Bibliographical references for Commelinaceae from Equatorial Guinea have been gathered and checked. Eleven species of Commelinaceae are recorded for the first time in the country. © 2009 The Linnean Society of London, Botanical Journal of the Linnean Society, 2009, 159 , 106–122.     

Eight polymorphic microsatellite markers in the Andalusian belladonna (Atropa baetica, Solanaceae)

We report on the isolation and characterization of eight microsatellite markers from enriched libraries for the critically endangered Atropa baetica. These are the first microsatellite loci reported for Atropa species. The total number of alleles found was 18, the expected heterozygosity ranged from 0.198 to 0.505. These markers will be useful to establish the real census of individuals and the genetic diversity both within and among the different populations of A. baetica.     

Uncertainty in ensemble forecasting of species distribution

Species distribution modelling has been widely applied in order to assess the potential impacts of climate change on biodiversity. Many methodological decisions, taken during the modelling process and forecasts, may, however, lead to a large variability in the assessment of future impacts. Using measures of species range change and turnover, the potential impacts of climate change on French stream fish species and assemblages were evaluated. Our main focus was to quantify the uncertainty in the projections of these impacts arising from four sources of uncertainty: initial datasets (Data), statistical methods [species distribution models (SDM)], general circulation models (GCM), and gas emission scenarios (GES). Several modalities of the aforementioned uncertainty sources were combined in an ensemble forecasting framework resulting in 8400 different projections. The variance explained by each source was then extracted from this whole ensemble of projections. Overall, SDM contributed to the largest variation in projections, followed by GCM, whose contribution increased over time equalling almost the proportion of variance explained by SDM in 2080. Data and GES had little influence on the variability in projections. Future projections of range change were more consistent for species with a large geographical extent (i.e., distribution along latitudinal or stream gradients) or with restricted environmental requirements (i.e., small thermal or elevation ranges). Variability in projections of turnover was spatially structured at the scale of France, indicating that certain particular geographical areas should be considered with care when projecting the potential impacts of climate change. The results of this study, therefore, emphasized that particular attention should be paid to the use of predictions ensembles resulting from the application of several statistical methods and climate models. Moreover, forecasted impacts of climate change should always be provided with an assessment of their uncertainty, so that management and conservation decisions can be taken in the full knowledge of their reliability.     

采用蛋白组学技术分析质粒介导siRNA的“Off-target”效应

siRNA的"脱靶效应"(off-target effects)是RNA干扰应用研究领域的热点问题.采用蛋白组学技术对质粒介导的siRNA稳定沉默原癌基因c-myc可能存在的"off-target"效应进行初步研究,为siRNA靶向特异性的系统评价奠定理论与实验基础.构建靶向c-myc的siRNA真核表达质粒p-Mat01-1及其错配质粒p-Mis09-1,空质粒pEGFP-C1为对照,并稳定转染MCF-7人乳腺癌细胞.通过RT-PCR和Western印迹分析结果显示p-Mat01-1稳定转染克隆中c-myc/c-MYC的表达降低.采用2-DE及LC-ESI-MS/MS等方法,研究了p-Mat01-1与pEGFP-C1稳定转染克隆的蛋白组表达差异.结果显示,p-Mat01-1稳定转染克隆中有47个c-myc非调控蛋白点表达升高或降低,约占423个随机检测蛋白点的11.1%.这些蛋白涉及细胞骨架、代谢、增殖、信号传导、分子伴侣、氧化还原等多条途径.实验结果表明,质粒介导靶向c-myc的siRNA在MCF-7细胞中存在明显的"off-target"效应,提示在设计siRNA实验及应用研究时应系统考察其靶向特异性.