Evidence for FUS6 as a component of the nuclear-localized COP9 complex in Arabidopsis.

The pleiotropic CONSTITUTIVE PHOTOMORPHOGENIC (COP), DEETIOLATED (DET), and FUSCA (FUS) loci are essential regulatory genes involved in the light control of seedling developmental patterns in Arabidopsis. Although COP1, DET1, COP9, and FUS6 (also called COP11) have been cloned, their biochemical activities and interactions remain elusive. We have recently suggested that multiple pleiotropic COP, DET, and FUS genes may encode subunits of a large regulatory complex. In this study, we generated specific antibodies against Arabidopsis FUS6 and show that accumulation of both COP9 and FUS6 is coordinated in the pleiotropic cop, det, and fus mutant backgrounds and in wild-type plants throughout development. Both COP9 and FUS6 cofractionated into identical high molecular mass fractions in an analytical gel filtration assay, and neither was found in its monomeric form. Moreover, antibodies raised against either COP9 or FUS6 selectively coimmunoprecipitated both proteins. We have also developed an Arabidopsis protoplast immunolocalization assay and demonstrated that the COP9 complex is localized in the nucleus and that its nuclear localization is not affected by light conditions or tissue types. The integrated genetic and biochemical results strongly support the conclusion that both COP9 and FUS6 are components of the nuclear-localized COP9 complex. Therefore, we have provided the strongest evidence for the conclusion that at least some of the pleiotropic COP, DET, and FUS loci act in the same signaling pathway.     

Corporate and Product Carbon Footprint under Compound Hybrid Analysis: Application to a Spanish Timber Company

The European Union (EU) is advancing steadily toward the stabilization of atmospheric greenhouse gas concentrations. Various sectors are now obliged to make reductions, and new policies based on the carbon footprint are being encouraged. However, voluntary reporting of so‐called scope 3 emissions is hindering successful implementation of these policies. In this study, we present a tiered hybrid analysis to report emissions according to the ISO/TR 14069 standards and to obtain complete measures of scope 3 emissions. A process analysis for scope 1 and scope 2 emissions is complemented with a multiregional input‐output analysis for upstream scope 3 emissions. This novel approach is applied to the case study of a Spanish timber company. Its total carbon footprint in 2011 was 783,660 kilograms of carbon‐dioxide equivalent, of which 88% correspond to scope 3 emissions. These emissions are globally distributed; 71% are from European countries, followed by 8% from emerging economies (Brazil, Russia, India, Indonesia, Australia, and Turkey), 5% from China, and, finally, 16% from the rest of the world. We identify and discuss the advantages and disadvantages of this novel approach, the European implementation of which could be highly effective in reducing global carbon emissions.     

Semiparametric modeling of longitudinal measurements and time-to-event data--a two-stage regression calibration approach

SUMMARY: In this article we investigate regression calibration methods to jointly model longitudinal and survival data using a semiparametric longitudinal model and a proportional hazards model. In the longitudinal model, a biomarker is assumed to follow a semiparametric mixed model where covariate effects are modeled parametrically and subject-specific time profiles are modeled nonparametrially using a population smoothing spline and subject-specific random stochastic processes. The Cox model is assumed for survival data by including both the current measure and the rate of change of the underlying longitudinal trajectories as covariates, as motivated by a prostate cancer study application. We develop a two-stage semiparametric regression calibration (RC) method. Two variations of the RC method are considered, risk set regression calibration and a computationally simpler ordinary regression calibration. Simulation results show that the two-stage RC approach performs well in practice and effectively corrects the bias from the naive method. We apply the proposed methods to the analysis of a dataset for evaluating the effects of the longitudinal biomarker PSA on the recurrence of prostate cancer.     

早期糖尿病肾病大鼠模型磁共振弥散加权成像的初步研究

目的:探讨早期糖尿病肾病(Diabetic nephropathy,DN)模型大鼠磁共振弥散加权成像(Diffusion Weight Imaging,DWI)肾实质ADC值变化规律。方法:将20只清洁级雄性SD大鼠随机分成两组,糖尿病肾病组(DN组)12只,正常对照组(NC组)8只;DN组给予60 mg/kg链尿佐菌素腹腔注射诱导糖尿病肾病模型,NC组按照相同方法、相同剂量柠檬酸缓冲液腹腔注射;并对最终糖尿病模型造模成功并且存活的8只DN大鼠、8只NC大鼠进行MRI扫描,包括常规轴位T1WI、T2WI扫描及DWI扫描;扫描结束后收集血液送血肌酐及双肾组织进行病理检查。并测量每只大鼠双肾皮、髓质的ADC值。结果:造模后,DN组大鼠血糖明显升高、尿量明显增加、体重明显减低,DN组大鼠肾脏出现不同程度病理损伤,符合早期DN病理改变。DN组大鼠肾脏皮、髓质ADC值分别为1.522±0.913×10^-3 mm^2/s、1.268±0.388×10^-3 mm^2/s,较NC组肾脏皮、髓质ADC值1.276±0.341×10^-3 mm^2/s、1.011±0.217×10^-3 mm^2/s增高,两组比较有统计学意义(P<0.05)。结论:DWI成像ADC值可能反映早期糖尿病肾病肾脏功能的变化。     

青霉素和NAA与6—BA配合在离体草莓器官建成中的作用

本实验研究了青霉素和ＮＡＡ与６－ＢＡ配合对离体草莓器官建成以及体内过氧化物同工酶的影响。结果表明：青霉素促进不定根的分化,但抑制不定根的伸长和不定芽的分化,并且不同程度地影响器官建成过程中过氧化和抽工酶的谱带和活性。青霉素与植物激素一样,参与了植物体内的生理代谢而引起植物器官建成。     

Contribution of crop model structure,parameters and climate projections to uncertainty in climate change impact assessments

Climate change impact assessments are plagued with uncertainties from many sources, such as climate projections or the inadequacies in structure and parameters of the impact model. Previous studies tried to account for the uncertainty from one or two of these. Here, we developed a triple‐ensemble probabilistic assessment using seven crop models, multiple sets of model parameters and eight contrasting climate projections together to comprehensively account for uncertainties from these three important sources. We demonstrated the approach in assessing climate change impact on barley growth and yield at Jokioinen, Finland in the Boreal climatic zone and Lleida, Spain in the Mediterranean climatic zone, for the 2050s. We further quantified and compared the contribution of crop model structure, crop model parameters and climate projections to the total variance of ensemble output using Analysis of Variance (ANOVA). Based on the triple‐ensemble probabilistic assessment, the median of simulated yield change was ?4% and +16%, and the probability of decreasing yield was 63% and 31% in the 2050s, at Jokioinen and Lleida, respectively, relative to 1981–2010. The contribution of crop model structure to the total variance of ensemble output was larger than that from downscaled climate projections and model parameters. The relative contribution of crop model parameters and downscaled climate projections to the total variance of ensemble output varied greatly among the seven crop models and between the two sites. The contribution of downscaled climate projections was on average larger than that of crop model parameters. This information on the uncertainty from different sources can be quite useful for model users to decide where to put the most effort when preparing or choosing models or parameters for impact analyses. We concluded that the triple‐ensemble probabilistic approach that accounts for the uncertainties from multiple important sources provide more comprehensive information for quantifying uncertainties in climate change impact assessments as compared to the conventional approaches that are deterministic or only account for the uncertainties from one or two of the uncertainty sources.