固氮细菌找到新寄主

研究人员促成了固氮根瘤菌到包括稻子在内的非豆科植物的根际安家结瘤.固氮根瘤菌是一种极其特别的细菌.除个别例外,它们只能在豆科植物例如大豆,苜蓿和刺槐的根部结瘤固氮.这种细菌,摄取在空气中无用的氮气,并将其转化成氨和植物的其他营养成份.实际上,细菌是为     

植物保护：一个任重道远的课题

植物致病菌和传播它们的昆虫无时不在兴妖作怪 ;研究人员必须继续不懈努力 ,探索对付病虫害的植保新法——     

揭开免疫的秘密：MHC如何和抗原相遇

一个受到病毒感染的细胞,是如何通过免疫系统的杀伤者T细胞,在其自身表面触发起一种攻击活动的呢?简短答案,就是T细胞通过一种型-I主要组织相容性复合(MHC)蛋白质,识别出现在受感染细胞表面上的病毒蛋白质片段,这种现象,称作"抗原表述".但是,隐匿在这种答案中的秘密,多年来一直令免疫学家     

Microwave quantum logic gates for trapped ions

Control over physical systems at the quantum level is important in fields as diverse as metrology, information processing, simulation and chemistry. For trapped atomic ions, the quantized motional and internal degrees of freedom can be coherently manipulated with laser light. Similar control is difficult to achieve with radio-frequency or microwave radiation: the essential coupling between internal degrees of freedom and motion requires significant field changes over the extent of the atoms' motion, but such changes are negligible at these frequencies for freely propagating fields. An exception is in the near field of microwave currents in structures smaller than the free-space wavelength, where stronger gradients can be generated. Here we first manipulate coherently (on timescales of 20 nanoseconds) the internal quantum states of ions held in a microfabricated trap. The controlling magnetic fields are generated by microwave currents in electrodes that are integrated into the trap structure. We also generate entanglement between the internal degrees of freedom of two atoms with a gate operation suitable for general quantum computation; the entangled state has a fidelity of 0.76(3), where the uncertainty denotes standard error of the mean. Our approach, which involves integrating the quantum control mechanism into the trapping device in a scalable manner, could be applied to quantum information processing, simulation and spectroscopy.     

Metabolite-enabled eradication of bacterial persisters by aminoglycosides

Bacterial persistence is a state in which a sub-population of dormant cells, or 'persisters', tolerates antibiotic treatment. Bacterial persisters have been implicated in biofilms and in chronic and recurrent infections. Despite this clinical relevance, there are currently no viable means for eradicating persisters. Here we show that specific metabolic stimuli enable the killing of both Gram-negative (Escherichia coli) and Gram-positive (Staphylococcus aureus) persisters with aminoglycosides. This potentiation is aminoglycoside-specific, it does not rely on growth resumption and it is effective in both aerobic and anaerobic conditions. It proceeds by the generation of a proton-motive force which facilitates aminoglycoside uptake. Our results demonstrate that persisters, although dormant, are primed for metabolite uptake, central metabolism and respiration. We show that aminoglycosides can be used in combination with specific metabolites to treat E. coli and S. aureus biofilms. Furthermore, we demonstrate that this approach can improve the treatment of chronic infections in a mouse urinary tract infection model. This work establishes a strategy for eradicating bacterial persisters that is based on metabolism, and highlights the importance of the metabolic environment to antibiotic treatment.     

Dense genotyping identifies and localizes multiple common and rare variant association signals in celiac disease

Using variants from the 1000 Genomes Project pilot European CEU dataset and data from additional resequencing studies, we densely genotyped 183 non-HLA risk loci previously associated with immune-mediated diseases in 12,041 individuals with celiac disease (cases) and 12,228 controls. We identified 13 new celiac disease risk loci reaching genome-wide significance, bringing the number of known loci (including the HLA locus) to 40. We found multiple independent association signals at over one-third of these loci, a finding that is attributable to a combination of common, low-frequency and rare genetic variants. Compared to previously available data such as those from HapMap3, our dense genotyping in a large sample collection provided a higher resolution of the pattern of linkage disequilibrium and suggested localization of many signals to finer scale regions. In particular, 29 of the 54 fine-mapped signals seemed to be localized to single genes and, in some instances, to gene regulatory elements. Altogether, we define the complex genetic architecture of the risk regions of and refine the risk signals for celiac disease, providing the next step toward uncovering the causal mechanisms of the disease.