Climate change and the fate of cereal aphids in Southern Britain

Climate change will drive dramatic changes in the abundance and distribution of species. Assessing the impacts of climate change on our agricultural systems is essential for mitigation planning. Here, I combine projections from the UK Hadley Centre's HadRM03 climate change model for Southern Britain with a general mechanistic model of the interaction between climate, temperate grass physiology and cereal aphid population dynamics. Aphids are one of the largest and most important groups of crop pests and disease vectors worldwide but particularly in temperate regions. The model predicts an increasingly dramatic decline in cereal aphid abundance from the 1961 to 1990 baseline with increasing CO₂ emissions: low emissions=?5%, medium low=?12%, medium high=?61%, and high=?92%. Of the six climate variables used in the model, changes in temperature and rainfall were the most important across all emissions scenarios and, counter‐intuitively, the direct impact of elevated CO₂ actually declines as emissions increase. The results suggest that the pest status of cereal aphids in Southern Britain will significantly decline by the end of this century.     

Simultaneous Non‐inferiority Test of Sensitivity and Specificity for Two Diagnostic Procedures in the Presence of a Gold Standard

Sensitivity and specificity have traditionally been used to assess the performance of a diagnostic procedure. Diagnostic procedures with both high sensitivity and high specificity are desirable, but these procedures are frequently too expensive, hazardous, and/or difficult to operate. A less sophisticated procedure may be preferred, if the loss of the sensitivity or specificity is determined to be clinically acceptable. This paper addresses the problem of simultaneous testing of sensitivity and specificity for an alternative test procedure with a reference test procedure when a gold standard is present. The hypothesis is formulated as a compound hypothesis of two non‐inferiority (one‐sided equivalence) tests. We present an asymptotic test statistic based on the restricted maximum likelihood estimate in the framework of comparing two correlated proportions under the prospective and retrospective sampling designs. The sample size and power of an asymptotic test statistic are derived. The actual type I error and power are calculated by enumerating the exact probabilities in the rejection region. For applications that require high sensitivity as well as high specificity, a large number of positive subjects and a large number of negative subjects are needed. We also propose a weighted sum statistic as an alternative test by comparing a combined measure of sensitivity and specificity of the two procedures. The sample size determination is independent of the sampling plan for the two tests.     

医院环境中耐碳青霉烯类肺炎克雷伯菌检测方法及其同源性分析

目的分析医院环境中耐碳青霉烯类肺炎克雷伯菌的检测方法及细菌同源性。方法分别于2018年8月28日和9月26日对我院检出耐碳青霉烯类肺炎克雷伯菌(CRKP)的住院患者周围环境进行采样,样本于环境消毒清洁前进行采集,随机采集物体表面、医务人员手样、医疗器材、医用织物相关样本。样本采用倾注平板计数法和肉汤增菌法检测,对分离出的CRKP进行同源性分析。结果 2018年8月28日用倾注平板计数法共检出CRKP 1株,检出率为1.6%。2018年9月26日用倾注平板计数法检出CRKP 2株,检出率为2.8%;同日用肉汤增菌法检出CRKP 9株,检出率为12.7%。不同类别标本CRKP检出率比较差异均无统计学意义(均P0.05)。2018年8月和9月从患者及环境物体表面分离到的14株CRKP的同源性相似系数为90.0%～100.0%,且均为A型。结论肉汤增菌法可提高医院环境中物体表面CRKP的检出率,可用于指导环境清洁消毒,降低耐碳青霉烯类肠杆菌科细菌医院感染的发生。     

全球变化与生态系统研究现状与展望

全球变化与生态系统研究是一个宏观与微观相互交叉、多学科相互渗透的前沿科学领域, 重点研究生态系统结构和功能对全球变化的响应及反馈作用, 其目标是实现人类对生态系统服务的可持续利用。《植物生态学报》的《全球变化与生态系统》专辑在对国内外全球变化研究进行历史回顾和综合分析的基础上, 总结了全球变化与生态系统研究的阶段性重大进展及存在的主要问题, 并对全球变化研究的前沿方向进行展望和建议。根据研究内容和对象, 该专辑系统地综述了不同全球变化因子, 包括CO₂和O₃浓度升高、气候变暖、降水格局改变、氮沉降增加、土地利用变化等对陆地植物生理生态、群落结构及生态系统功能等的影响以及全球变化对海洋生态系统的影响; 探讨生态系统关键过程以及生物多样性的变化; 在明确全球变化生态效应的基础上, 阐明这些影响对气候和环境变化的反馈机制, 为构筑全球变化的适应对策提供生态学理论基础。     

Global change biology: A primer

Because of human action, the Earth has entered an era where profound changes in the global environment are creating novel conditions that will be discernable far into the future. One consequence may be a large reduction of the Earth's biodiversity, potentially representing a sixth mass extinction. With effective stewardship, the global change drivers that threaten the Earth's biota could be alleviated, but this requires clear understanding of the drivers, their interactions, and how they impact ecological communities. This review identifies 10 anthropogenic global change drivers and discusses how six of the drivers (atmospheric CO₂ enrichment, climate change, land transformation, species exploitation, exotic species invasions, eutrophication) impact Earth's biodiversity. Driver impacts on a particular species could be positive or negative. In either case, they initiate secondary responses that cascade along ecological lines of connection and in doing so magnify the initial impact. The unique nature of the threat to the Earth's biodiversity is not simply due to the magnitude of each driver, but due to the speed of change, the novelty of the drivers, and their interactions. Emphasizing one driver, notably climate change, is problematic because the other global change drivers also degrade biodiversity and together threaten the stability of the biosphere. As the main academic journal addressing global change effects on living systems, GCB is well positioned to provide leadership in solving the global change challenge. If humanity cannot meet the challenge, then GCB is positioned to serve as a leading chronicle of the sixth mass extinction to occur on planet Earth.     

Soil GHG fluxes are altered by N deposition: New data indicate lower N stimulation of the N2O flux and greater stimulation of the calculated C pools

The effects of nitrogen (N) deposition on soil organic carbon (C) and greenhouse gas (GHG) emissions in terrestrial ecosystems are the main drivers affecting GHG budgets under global climate change. Although many studies have been conducted on this topic, we still have little understanding of how N deposition affects soil C pools and GHG budgets at the global scale. We synthesized a comprehensive dataset of 275 sites from multiple terrestrial ecosystems around the world and quantified the responses of the global soil C pool and GHG fluxes induced by N enrichment. The results showed that the soil organic C concentration and the soil CO₂, CH₄ and N₂O emissions increased by an average of 3.7%, 0.3%, 24.3% and 91.3% under N enrichment, respectively, and that the soil CH₄ uptake decreased by 6.0%. Furthermore, the percentage increase in N₂O emissions (91.3%) was two times lower than that (215%) reported by Liu and Greaver (Ecology Letters, 2009, 12:1103–1117). There was also greater stimulation of soil C pools (15.70 kg C ha^?1 year^?1 per kg N ha^?1 year^?1) than previously reported under N deposition globally. The global N deposition results showed that croplands were the largest GHG sources (calculated as CO₂ equivalents), followed by wetlands. However, forests and grasslands were two important GHG sinks. Globally, N deposition increased the terrestrial soil C sink by 6.34 Pg CO₂/year. It also increased net soil GHG emissions by 10.20 Pg CO₂‐Geq (CO₂ equivalents)/year. Therefore, N deposition not only increased the size of the soil C pool but also increased global GHG emissions, as calculated by the global warming potential approach.     

CIDE family proteins control lipid homeostasis and the development of metabolic diseases

Dysregulation of lipid homeostasis leads to the development of metabolic disorders including obesity, diabetes, cardiovascular disease and cancer. Lipid droplets (LDs) are subcellular organelles vital in the maintenance of lipid homeostasis by coordinating lipid synthesis, lipid storage, lipid secretion and lipolysis. Under fed condition, free fatty acids (FFAs) are remodeled and esterified into neutral lipids by lipogenesis and stored in the LDs. The lipid storage capacity of LDs is controlled by its growth via local lipid synthesis or by LD fusion. During fasting, neutral lipids are hydrolyzed by lipolysis, released as FFAs and secreted to meet energy demand. C ell death‐i nducing D NA fragmentation factor alpha (DFFA)‐like e ffector (CIDE) family proteins composed of Cidea, Cideb and Cidec/Fsp27 are ER‐ and LD‐associated proteins and have emerged as important regulators of lipid homeostasis. Notably, when localized on the LDs, CIDE proteins enrich at the LD‐LD contact sites (LDCSs) and control LD fusion and growth. Here, we summarize these recent advances made on the role of CIDE proteins in the regulation of lipid metabolism with a particular focus on the molecular mechanisms underlying CIDE‐mediated LD fusion and growth.     

Overcoming the dynamic range problem in mass spectrometry-based shotgun proteomics

Protein profiling using mass spectrometry technology has emerged as a powerful method for analyzing large-scale protein-expression patterns in cells and tissues. However, a number of challenges are present in proteomics research, one of the greatest being the high degree of protein complexity and huge dynamic range of proteins expressed in the complex biological mixtures, which exceeds six orders of magnitude in cells and ten orders of magnitude in body fluids. Since many important signaling proteins have low expression levels, methods to detect the low-abundance proteins in a complex sample are required. This review will focus on the fundamental fractionation and mass spectrometry techniques currently used for large-scale shotgun proteomics research.