Glycan Profiling of Plant Cell Wall Polymers using Microarrays

Plant cell walls are complex matrixes of heterogeneous glycans which play an important role in the physiology and development of plants and provide the raw materials for human societies (e.g. wood, paper, textile and biofuel industries)^1,2. However, understanding the biosynthesis and function of these components remains challenging.Cell wall glycans are chemically and conformationally diverse due to the complexity of their building blocks, the glycosyl residues. These form linkages at multiple positions and differ in ring structure, isomeric or anomeric configuration, and in addition, are substituted with an array of non-sugar residues. Glycan composition varies in different cell and/or tissue types or even sub-domains of a single cell wall³. Furthermore, their composition is also modified during development¹, or in response to environmental cues⁴.In excess of 2,000 genes have Plant cell walls are complex matrixes of heterogeneous glycans been predicted to be involved in cell wall glycan biosynthesis and modification in Arabidopsis⁵. However, relatively few of the biosynthetic genes have been functionally characterized ^4,5. Reverse genetics approaches are difficult because the genes are often differentially expressed, often at low levels, between cell types⁶. Also, mutant studies are often hindered by gene redundancy or compensatory mechanisms to ensure appropriate cell wall function is maintained⁷. Thus novel approaches are needed to rapidly characterise the diverse range of glycan structures and to facilitate functional genomics approaches to understanding cell wall biosynthesis and modification.Monoclonal antibodies (mAbs)^8,9 have emerged as an important tool for determining glycan structure and distribution in plants. These recognise distinct epitopes present within major classes of plant cell wall glycans, including pectins, xyloglucans, xylans, mannans, glucans and arabinogalactans. Recently their use has been extended to large-scale screening experiments to determine the relative abundance of glycans in a broad range of plant and tissue types simultaneously^9,10,11.Here we present a microarray-based glycan screening method called Comprehensive Microarray Polymer Profiling (CoMPP) (Figures 1 & 2)^10,11 that enables multiple samples (100 sec) to be screened using a miniaturised microarray platform with reduced reagent and sample volumes. The spot signals on the microarray can be formally quantified to give semi-quantitative data about glycan epitope occurrence. This approach is well suited to tracking glycan changes in complex biological systems¹² and providing a global overview of cell wall composition particularly when prior knowledge of this is unavailable.     

InvertNet: a new paradigm for digital access to invertebrate collections

InvertNet, one of the three Thematic Collection Networks (TCNs) funded in the first round of the U.S. National Science Foundation's Advancing Digitization of Biological Collections (ADBC) program, is tasked with providing digital access to ~60 million specimens housed in 22 arthropod (primarily insect) collections at institutions distributed throughout the upper midwestern USA. The traditional workflow for insect collection digitization involves manually keying information from specimen labels into a database and attaching a unique identifier label to each specimen. This remains the dominant paradigm, despite some recent attempts to automate various steps in the process using more advanced technologies. InvertNet aims to develop improved semi-automated, high-throughput workflows for digitizing and providing access to invertebrate collections that balance the need for speed and cost-effectiveness with long-term preservation of specimens and accuracy of data capture. The proposed workflows build on recent methods for digitizing and providing access to high-quality images of multiple specimens (e.g., entire drawers of pinned insects) simultaneously. Limitations of previous approaches are discussed and possible solutions are proposed that incorporate advanced imaging and 3-D reconstruction technologies. InvertNet couples efficient digitization workflows with a highly robust network infrastructure capable of managing massive amounts of image data and related metadata and delivering high-quality images, including interactive 3-D reconstructions in real time via the Internet.     

葡萄种质资源初级核心群的构建

以国家果树种质郑州葡萄圃保存的867份栽培种质为材料,对47项表型性状进行了主成分分析。采用欧氏遗传距离、离差平方和法进行种质初选。采用分组和逐步聚类法,分别以15%、20%、25%和30%的比例抽样,依次获得124、170、205和252份种质。通过对初选种质的遗传多样性指数、表型保留比例的分析,检验初级核心群的构建效果。结果表明,按种质类型分组,组内采用平方根策略、15%抽样比例获得的124份初选种质的表型保留比例和遗传多样性代表性均达到96%,表明构建的初级核心群对原始种质具有很好的代表性。     

甜菜种质资源遗传多样性研究与利用

通过多年对中国甜菜种质资源搜集、整理、繁种、鉴定及编目入库等方面进行科技攻关研究,弄清了目前我国甜菜中期库保存种质资源源遗传多样性的丰富程度,根据对已经编目入国家种质长期库的1382份甜菜种质资源材料的主要经济性状鉴定试验结果,证实了我国甜菜种质资源的块根产量、含糖率和产糖量均以西北生态区最高,华北生态区次之,东北生态区最低,同时其变异幅度也比较大。由此表明我国甜菜不同生态区保存的甜菜种质资源材料具有相当高的异质性和丰富的遗传基础,这将有利于推动我国甜菜科研及育种事业的可持续发展。     

一项小鼠采血新技术——颌下静脉丛采血法

目的介绍小鼠颌下静脉丛采血方法。方法选用2月龄昆明小鼠,固定小鼠后,将采血注射针头刺入颌下静脉丛血管取血。结果单人操作约1 min内可完成小鼠颌下静脉丛采血,采血量达到0.3-0.5 mL。结论此方法无需麻醉、创伤小、采血量大并可重复采血,是一种简便、安全、快速、采血量多的采血方法。     

Collection fluid helps preservation in voided urine cytology

Objectives:  Degenerative change caused by delay in processing contributes to false-negative and false-positive diagnosis of urothelial carcinoma in cytology. The aim of the study was to see if the use of a collection fluid for urine samples made a significant difference to urine cytology diagnosis, and if one was better suited for routine use in the hospital laboratory. Three cell collection fluids were evaluated by analysing the preservation and degeneration of cells in urine samples, as was the routine preparation which did not use a collection fluid.
Methods:  In the design study 50 voided urine specimens were taken at random from the hospital haematuria clinic. Three commercially available collection fluids cytolyt^TM, cytospin^® and cytoRich^®Blue and the hospital's routine conventional preparation of urine were compared. The degree of degeneration, and so preservation, was assessed by a table of chosen criteria; then ranked and analysed by Friedman's nonparametric test, at P  = 0.05. A second table showing the cell content of each slide was also made.
Results:  These showed no significant diagnostic difference between the collection fluids, but there was a significant difference between the collection fluids and the routine preparation. Minor differences that do not affect diagnosis, such as crystals and ghost red blood cells, were noted in cytospin^® and cytoRich^®Blue.
Conclusion:  It is recommended that a collection fluid is used. This choice should be made after health and safety issues and cost are considered.     

Predicting species distributions from herbarium collections: does climate bias in collection sampling influence model outcomes?

Aim Species distribution models and geographical information system (GIS) technologies are becoming increasingly important tools in conservation planning and decision‐making. Often the rich data bases of museums and herbaria serve as the primary data for predicting species distributions. Yet key assumptions about the primary data often are untested, and violation of such assumptions may have consequences for model predictions. For example, users of primary data assume that sampling has been random with respect to geography and environmental gradients. Here we evaluate the assumption that plant voucher specimens adequately sample the climatic gradient and test whether violation of this assumption influences model predictions. Location Bolivia and Ecuador. Methods Using 323,711 georeferenced herbarium collections and nine climatic variables, we predicted the distribution of 76 plant species using maximum entropy models (MAXENT) with training points that sampled the climate environments randomly and training points that reflected the climate bias in the herbarium collections. To estimate the distribution of species, MAXENT finds the distribution of maximum entropy (i.e. closest to uniform) subject to the constraint that the expected value for each environmental variable under the estimated distribution matches its empirical average. The experimental design included species that differed in geographical range and elevation; all species were modelled with 20 and 100 training points. We examined the influence of the number of training points and climate bias in training points, elevation and range size on model performance using analysis of variance models. Results We found that significant parts of the climatic gradient were poorly represented in herbarium collections for both countries. For the most part, existing climatic bias in collections did not greatly affect distribution predictions when compared with an unbiased data set. Although the effects of climate bias on prediction accuracy were found to be greater where geographical ranges were characterized by high spatial variation in the degree of climate bias (i.e. ranges where the bias of the various climates sampled by collections deviated considerably from the mean bias), the greatest influence on model performance was the number of presence points used to train the model. Main conclusions These results demonstrate that predictions of species distributions can be quite good despite existing climatic biases in primary data found in natural history collections, if a sufficiently large number of training points is available. Because of consistent overprediction of models, these results also confirm the importance of validating models with independent data or expert opinion. Failure to include independent model validation, especially in cases where training points are limited, may potentially lead to grave errors in conservation decision‐making and planning.     

Herbarium collections and field data-based plant diversity maps for Burkina Faso

A map of plant species diversity in Burkina Faso is presented based on field observations and specimen data from the Ouagadougou University Herbarium (OUA) and the Herbarium Senckenbergianum (FR). A map of collecting intensity and field observations illustrates centres of botanical research activities in Burkina Faso. To overcome problems associated with biased sampling intensity, distributions of species have been modelled and extrapolated to maps of vascular plant diversity, life forms and diversity of four selected families (Poaceae, Cyperaceae, Dioscoreaceae and Rubiaceae). The area of most intensive collection and observation is around Gorom‐Gorom and Fada N’Gourma. Modelled diversity generally increases towards the south, as does the proportion of phanerophytes, lianas and hemicryptophytes, while the opposite trend is observed for therophytes. Poaceae diversity is highly correlated with total vascular plant diversity, making the family especially suitable as an indicator for overall plant diversity. Cyperaceae are rather evenly distributed throughout the country, Dioscoreaceae are restricted to the Sudanian Zone. Rubiaceae have their highest diversities in the very south. Our approach can be transferred to areas with a similar database, certainly to other areas within West Africa. Future research should focus on distribution data for rare species, enabling our approach to evaluate the West African system of protected areas.     

A new technique for simultaneous collection of macroalgal propagules in the water column

A Simultaneous Collection Module (SCM) was designed to concurrently collect multiple samples of macroalgal propagules, and to evaluate their abundance and spatial distribution in the water column. The basic sampling units are water collectors (tubes), held together to form an evenly spaced grid forming a spatial array with three dimensions. Each collector in the module possesses a simultaneous closing mechanism. The water collected in each tube is then filtered and the propagules retained on each filter cultivated under controlled conditions. The sampling system was deployed in the field in central Chile. Results suggest the system is an efficient collector, able to provide data on time-space changes of macroalgal propagules in the water column.