Food resource allocation patterns in lactating females in a long-term selection experiment for litter size in mice

Resource allocation patterns, as quantified by residual food intake (RFI), and the consequences for offspring development were investigated during lactation in 96 females of a mouse line selected for 104 generations for high litter size at birth (S-line) and in 87 females of a non-selected control line (C-line). Litters of 45 C-line dams (Cs) and 48 S-line dams (Ss) were standardised (s) at birth; other dams (ns) supported total number of pups born (Cns and Sns, respectively). RFI during lactation was significantly lower in Sns-dams than in C-line dams and Sns-dams. After weaning Sns-dams seemed to be able to restore the negative resource situation. Sns-pups were about 25% less mature than Cns-pups at all times. Maturity was similar for Cs- and Ss-pups from 2 d in lactation on, and about 18% and 53% higher than Cns- and Sns-pups. The pre-weaning mortality rate was significantly higher in Sns-litters (35.6 ± 2.76) than in Cns-litters (4.95 ± 2.23). The results suggest that S-line dams allocated considerably more resources to maintenance of offspring than C-line dams. This was insufficient to provide the offspring with an adequate amount of resources, resulting in reduced pup development and increased pre-weaning mortality rates.     

Biogeographic patterns in scaled chrysophytes from the east coast of North America

1. We assessed the distribution of scaled chrysophytes in fresh waters along 3200 km of the east coast of North America (29° to 48°N) to determine any biogeographic patterns in relation to chemical, physical, climatic and spatial variables. 2. Scaled chrysophytes were identified using scanning electron microscopy and counted from 264 waterbodies in nine regions (20 subregions). Eighteen chemical, physical and climate variables were determined for each waterbody. We used Sorensen’s similarity index and analysis of similarity (ANOSIM) to evaluate whether the floras differed between regions, subregions, glaciated and non‐glaciated areas, as well as within sets of waterbodies with similar chemical and physical characteristics but situated in different regions. Distance‐based linear modelling (DISTLM) was used to evaluate the relative importance of the chemical, physical and climate factors in explaining the variability in the assemblages of scaled chrysophytes, and the resulting models were visualised using redundancy analysis (RDA). 3. Significant differences in the flora were found between all regions and most subregions, and between glaciated and non‐glaciated areas. Significant differences were also recorded between waterbodies with similar chemical and physical characteristics but situated in different regions. Many species were abundant along specific sections of the latitudinal gradient, but lacking from others. A set of environmental variables explained significant and independent portions of the variation in scaled chrysophytes, with pH and mean minimum July temperature accounting for 20% of the total. 4. The distribution of scaled chrysophytes along the east coast of North America is not homogeneous and there are biogeographic patterns, despite apparent dispersal mechanisms (migratory birds and wind events) that might act to reduce differences between regions. Rather, differences exist even between neighbouring subregions containing sites with statistically similar chemical and physical attributes. Environmental variables clearly play a significant role in determining whether species will inhabit a given site. However, species were not always found in waterbodies likely to support growth, implicating inadequate dispersal, poor transportability or both.     

Induced plant volatiles allow sensitive monitoring of plant health status in greenhouses

A novel approach to support the inspection of greenhouse crops is based on the measurement of volatile organic compounds emitted by unhealthy plants.This approach has attracted some serious interest over the last decade. In pursuit of this interest, we performed several experiments at the laboratory-scale to pinpoint marker volatiles that can be used to indicate certain health problems. In addition to these laboratory experiments, pilot and model studies were performed in order to verify the validity of these marker volatiles under real-world conditions. This paper provides an overview of results and gives an outlook on the use of plant volatiles for plant health monitoring.Key words: plant health, volatiles, plant pathogens, plant infection     

Nonglutamate pore residues in ion selection and conduction in voltage-gated Ca(2+) channels

High-affinity, intrapore binding of Ca(2+) over competing ions is the essential feature in the ion selectivity mechanism of voltage-gated Ca(2+) channels. At the same time, several million Ca(2+) ions can travel each second through the pore of a single open Ca(2+) channel. How such high Ca(2+) flux is achieved in the face of tight Ca(2+) binding is a current area of inquiry, particularly from a structural point of view. The ion selectivity locus comprises four glutamate residues within the channel's pore. These glutamates make unequal contributions to Ca(2+) binding, underscoring a role for neighboring residues in pore function. By comparing two Ca(2+) channels (the L-type alpha(1C), and the non-L-type alpha(1A)) that differ in their pore properties but only differ at a single amino acid position near the selectivity locus, we have identified the amino-terminal neighbor of the glutamate residue in motif III as a determinant of pore function. This position is more important in the function of alpha(1C) channels than in alpha(1A) channels. For a systematic series of mutations at this pore position in alpha(1C), both unitary Ba(2+) conductance and Cd(2+) block of Ba(2+) current varied with residue volume. Pore mutations designed to make alpha(1C) more like alpha(1A) and vice versa revealed that relative selectivity for Ba(2+) over K(+) depended almost solely on pore sequence and not channel type. Analysis of thermodynamic mutant cycles indicates that the motif III neighbor normally interacts in a cooperative fashion with the locus, molding the functional behavior of the pore.     

拼接信号序列单碱基变异提高马传染性贫血病毒mRNA拼接效率

分别以马传染性贫血(马传贫)驴强毒(D—A EIAV)RNA和马传贫驴白细胞弱毒疫苗(DLA EIAV)RNA为模板,利用RT—PCR的方法,克隆到马传贫强、弱毒株基因组外显子2及其下游的核苷酸序列。然后将报告基因CAT插入到EIAV内含子2env阅读框架中,构成CAT拼接报告系统。同时在强毒株重组表达质粒的基础上,将其外显子-3上游拼接受体位点的核苷酸序列CAG突变为弱毒株相应位置的核苷酸序列TAG,得到强毒单核苷酸突变株重组表达质粒。用构建的3个重组表达质粒DNA转染驴血白细胞,ELISA检测转染细胞CAT浓度。结果表明：EIAV强毒株重组表达质粒中CAT蛋白表达量最高,EIAV强毒株重组表达质粒次之,EIAV强毒突变株重组表达质粒最低。由于CAT基因被插入于各重组质粒中的EIAV内含子-2里,EIAV外显子-2、3之间的拼接可导致该基因的删除,因而其拼接效率低于EIAVmRNA外显子-2、3之间的拼接效率。实验数据表明,EIAV SA2拼接信号序列单碱基变异提高了SD2-SA2拼接效率;D—AEIAV SA2-SD2拼接效率比DLA EIAV相应位点拼接效率高。     

结核分枝杆菌可视化抗体检测蛋白芯片的制备

目的：利用克隆表达的7种结核分枝杆菌优势表位抗原,建立可视化抗体检测蛋白芯片,用于结核病辅助诊断。方法：将7种结核分枝杆菌优势表位抗原,即38kD、ESAT-6、CFP10、MPT64、Mtb8、Mtb8.4和Mtb16.3点于修饰的基片上,制备可检测7种结核抗体的多靶点蛋白微阵列,建立免疫金银染色检测系统;使用该芯片对48例临床结核病患者血液样品进行检测,并与“金标准”痰涂片（48例）和痰培养（其中的29例）检测结果进行比较,分析其敏感性;对30名献血员血液样品进行检测,分析其特异性。结果：可视化抗体检测蛋白芯片的敏感性分别为98.5％和96.6％,而痰涂片和痰培养检测方法的敏感性分别为35.4％和48.3％;可视化抗体检测蛋白芯片的特异性为93.3％。结论：建立的结核分枝杆菌可视化抗体检测蛋白芯片检测敏感性显著高于痰涂片和痰培养方法,可用于结核病的临床辅助诊断,提高痰涂片和痰培养假阴性的检出率。