Matrix‐glycoprotein interactions required for budding of a plant nucleorhabdovirus and induction of inner nuclear membrane invagination

Nucleorhabdoviruses such as Sonchus yellow net virus (SYNV) replicate in the nuclei and undergo morphogenesis at the inner nuclear membrane (IM) in plant cells. Mature particles are presumed to form by budding of the Matrix (M) protein‐nucleocapsid complexes through host IMs to acquire host phospholipids and the surface glycoproteins (G). To address mechanisms underlying nucleorhabdovirus budding, we generated recombinant SYNV G mutants containing a truncated amino‐terminal (NT) or carboxyl‐terminal (CT) domain. Electron microscopy and sucrose gradient centrifugation analyses showed that the CT domain is essential for virion morphogenesis whereas the NT domain is also required for efficient budding. SYNV infection induces IM invaginations that are thought to provide membrane sites for virus budding. We found that in the context of viral infections, interactions of the M protein with the CT domain of the membrane‐anchored G protein mediate M protein translocation and IM invagination. Interestingly, tethering the M protein to endomembranes, either by co‐expression with a transmembrane G protein CT domain or by artificial fusion with the G protein membrane targeting sequence, induces IM invagination in uninfected cells. Further evidence to support functions of G‐M interactions in virus budding came from dominant negative effects on SYNV‐induced IM invagination and viral infections that were elicited by expression of a soluble version of the G protein CT domain. Based on these data, we propose that cooperative G‐M interactions promote efficient SYNV budding.     

A large improved rotary trap for sampling aerial invertebrates

A large rotary trap designed to measure aerial spider density is described. A comparison of the rotary trap catch and a suction trap catch of spiders and other invertebrate groups showed that the rotary trap was operating at a greater efficiency for most groups. For spiders and non-staphylinid beetles the two traps caught equal numbers. There were no differences in the species composition of spiders between the rotary and suction trap catch.     

利用ISSR标记研究野大豆居群内遗传变异及其取样策略

为了有效地保护野大豆(Glycine soja Sieb.et Zucc.)并制定合理的居群取样策略,对上海江湾机场的一个人然野大豆居群进行了 100个单株(个体)的随机取样,并用ISSR分子标记对其进行了遗传多样性分析.利用筛选出的15条ISSR引物在这个居群中检测到较高的遗传变异,样本内个体间的相似系数变化在0.17～0.89之间.居群内平均每个位点的平均预期杂合度(He)为0.171 4,香农指数(I)为0.271 4.PCA分析显示,江湾野大豆居群内的遗传变异不是呈均匀分布,而是呈从状分布.该野大豆居群遗传多样性和样本内个体数量间的相关性分析显示:在个体数少于40的情况下,遗传多样性随个体数的增加而迅速增加;当样本中的个体数大于40时,遗传多样性的增加减慢并很快趋于饱和.研究表明:对野大豆居群进行异地保护时,对各居群的采样植株数不应当低于35～45;在居群内采样时,所采集的个体之间最好相隔一定的空间距离.     

高寒草甸植物群落中物种多样性与群落变异性的关系及其机制初探

通过对高寒草甸植物群落中采集的群落数据进行分析,探讨了物种构成的相似性、统计平均、种群变异性和净协方差等机制对形成高寒草甸植物群落中多样性与群落地上生物量变异性之间关系的影响。结果表明,地上生物量的年际变异性随着多样性的增加而减小。物种构成相似性是多样性一变异性负关系产生的原因之一,而相似性与多样性之间并无显著相关关系;统计平均效应是另一个多样性一变异性负关系的主要决定者;净协方差效应、种群变异性对多样性一变异性关系产生的影响不显著或非常有限。     

Scaling up evolutionary responses to elevated CO2: lessons from Arabidopsis

Results from norm of reaction studies and selection experiments indicate that elevated CO₂ will act as a selective agent on natural plant populations, especially for C₃ species that are most sensitive to changes in atmospheric CO₂ concentration. Evolutionary responses to CO₂ may alter plant physiology, development rate, growth, and reproduction in ways that cannot be predicted from single generation studies. Moreover, ecological and evolutionary changes in plant communities will have a range of consequences at higher spatial scales and may cause substantial deviations from ecosystem level predictions based on short‐term responses to elevated CO₂. Therefore, steps need to be taken to identify the plant traits that are most likely to evolve at elevated CO₂, and to understand how these changes may affect net primary productivity within ecosystems. These processes may range in scale from molecular and physiological changes that occur among genotypes at the individual and population levels, to changes in community‐ and ecosystem‐level productivity that result from the integrative effects of different plant species evolving simultaneously. In this review, we (1) synthesize recent studies investigating the role of atmospheric CO₂ as a selective agent on plants, (2) discuss possible control points during plant development that may change in response to selection at elevated CO₂ with an emphasis at the primary molecular level, and (3) provide a quantitative framework for scaling the evolutionary effects of CO₂ on plants in order to determine changes in community and ecosystem productivity. Furthermore, this review points out that studies integrating the effects of plant evolution in response to elevated CO₂ are lacking, and therefore more attention needs be devoted to this issue among the global change research community.     

The safety net of the safety net: how federally qualified health centers "subsidize" Medicaid managed care

In this article, I examine the impact of neoliberalism and welfare reform on the delivery of Medicaid, specifically how the advent of Medicaid managed care (MMC) has been wrought with contradictions, placing increased burdens on primary safety-net organizations and impacting the many communities they serve. I argue that federally qualified health centers (FQHCs) operate as a primary safety net among safety-net providers, supporting and subsidizing New Mexico's MMC program financially and administratively. By presenting ethnographic data, I will demonstrate how FQHCs pay many of the hidden financial and institutional costs of the shift to managed care. Such findings uncover paradoxes inherent to neoliberal ideologies and privatization, raising questions about the efficacy of a managed care system for Medicaid as well as the future of the health care safety net and access to health care for the diverse populations it serves.     

The ‘New Wave’ in plant demographic inference: more loci and more individuals

Plant population genetic surveys are starting to take full advantage of technological advances in genotyping methods and of methodological advances in demographic inference. In this issue of Molecular Ecology, Keller et al. (2010) illustrate this trend with a particularly convincing study of rangewide genetic variation in a North American poplar, using both SNP and sequence data. They first investigate population genetic structure by estimating the most likely number of genetic clusters using a more formal approach than most other studies to date. They proceed by estimating gene flow among the inferred populations and by testing predictions on the distribution of low frequency alleles derived from recent work on range expansions.     

Impacts of sampling location within a faeces on DNA quality in two carnivore species

We investigated the influence of sampling location within a faeces on DNA quality by sampling from both the outside and inside of 25 brown bear (Ursus arctos) scats and the side and the tip of 30 grey wolf (Canis lupus) scats. The outside of the bear scat and side of the wolf scat had significantly lower nuclear DNA microsatellite allelic dropout error rates (U. arctos: P = 0.017; C. lupus: P = 0.025) and significantly higher finalized genotyping success rates (U. arctos: P = 0.017; C. lupus: P = 0.012) than the tip and inside of the scat. A review of the faecal DNA literature indicated that <45% of studies report the sampling location within a faeces indicating that this methodological consideration is currently underappreciated. Based on our results, we recommend sampling from the side of canid scats and the outside portion of ursid scats to obtain higher quality DNA samples. The sampling location within a faeces should be carefully considered and reported as it can directly influence laboratory costs and efficiency, as well as the ability to obtain reliable genotypes.     

Functional hierarchical models for identifying genes with different time-course expression profiles

Time-course studies of gene expression are essential in biomedical research to understand biological phenomena that evolve in a temporal fashion. We introduce a functional hierarchical model for detecting temporally differentially expressed (TDE) genes between two experimental conditions for cross-sectional designs, where the gene expression profiles are treated as functional data and modeled by basis function expansions. A Monte Carlo EM algorithm was developed for estimating both the gene-specific parameters and the hyperparameters in the second level of modeling. We use a direct posterior probability approach to bound the rate of false discovery at a pre-specified level and evaluate the methods by simulations and application to microarray time-course gene expression data on Caenorhabditis elegans developmental processes. Simulation results suggested that the procedure performs better than the two-way ANOVA in identifying TDE genes, resulting in both higher sensitivity and specificity. Genes identified from the C. elegans developmental data set show clear patterns of changes between the two experimental conditions.