Occurrence and Diversity of Pome Fruit Viruses in Apple and Pear Orchards in Latvia

Apple chlorotic leaf spot virus (ACLSV), Apple stem pitting virus (ASPV), Apple stem grooving virus (ASGV) and Apple mosaic virus are economically important viruses infecting fruit tree species worldwide. To evaluate the occurrence of these pome fruit viruses in Latvia, a large‐scale survey was carried out in 2007. Collected samples were tested for infection by DAS ELISA and multiplex RT‐PCR. The accuracy of the detection of the viruses in multiplex RT‐PCR was confirmed by sequencing amplified PCR fragments. The results showed a wide occurrence of viruses in apple and pear commercial orchards established from non‐tested planting material. More than 89% of the tested apple trees and more than 60% of pear trees were infected with one or more pome fruit viruses. Analyses showed that the high occurrence of viruses in several apple cultivars is due to the propagation of infected clonal rootstocks and scions from infected mother trees. Sequence analyses targeting the 3′‐terminal region of the tested viruses showed various degrees of genetic diversity within respective virus isolates. This is the first report of the occurrence of ACLSV, ASGV and ASPV in apple and pear trees in Latvia and demonstrates their genetic diversity in different host genotypes.     

Separating the wheat from the chaff: a prioritisation pipeline for the analysis of metabolomics datasets

Liquid Chromatography Mass Spectrometry (LC-MS) is a powerful and widely applied method for the study of biological systems, biomarker discovery and pharmacological interventions. LC-MS measurements are, however, significantly complicated by several technical challenges, including: (1) ionisation suppression/enhancement, disturbing the correct quantification of analytes, and (2) the detection of large amounts of separate derivative ions, increasing the complexity of the spectra, but not their information content. Here we introduce an experimental and analytical strategy that leads to robust metabolome profiles in the face of these challenges. Our method is based on rigorous filtering of the measured signals based on a series of sample dilutions. Such data sets have the additional characteristic that they allow a more robust assessment of detection signal quality for each metabolite. Using our method, almost 80% of the recorded signals can be discarded as uninformative, while important information is retained. As a consequence, we obtain a broader understanding of the information content of our analyses and a better assessment of the metabolites detected in the analyzed data sets. We illustrate the applicability of this method using standard mixtures, as well as cell extracts from bacterial samples. It is evident that this method can be applied in many types of LC-MS analyses and more specifically in untargeted metabolomics.

     

Highly efficient production of phosphorylated hepatitis B core particles in yeast Pichia pastoris

Virus-like particles (VLPs) of the recombinant hepatitis B virus (HBV) core protein (HBc) are routinely used in HBV diagnostics worldwide and are of potential interest as carriers of foreign peptides (e.g., immunological epitopes and targeting addresses, and/or as vessels for packaged diagnostic and therapeutic nanomaterials). Despite numerous reports exploiting different expression systems, a rapid and comprehensive large-scale methodology for purification of HBc VLPs from yeast is still lacking. Here, we present a convenient protocol for highly efficient production and rapid purification of endotoxin-free ayw subtype HBc VLPs from the methylotrophic yeast Pichia pastoris. The HBc gene expression cassette along with the geneticin resistance gene was transferred to the P. pastoris genome via homologous recombination. A producer clone was selected among 2000 transformants for the optimal synthesis of the target protein. Fermentation conditions were established ensuring biomass accumulation of 163 g/L. A simple combination of pH/heat and salt treatment followed by a single anion-exchange chromatography step resulted in a more than 90% pure preparation of HBc VLPs, with a yield of about 3.0 mg per 1 g of wet cells. Purification is performed within a day and may be easily scaled up if necessary. The quality of HBc VLPs was verified by electron microscopy. Mass spectrometry analysis and direct polyacrylamide gel staining revealed phosphorylation of HBc at at least two sites. To our knowledge, this is the first report of HBc phosphorylation in yeast.     

Metabolomic analysis of a synthetic metabolic switch in Streptomyces coelicolor A3(2)

The global analysis of metabolism by liquid chromatography coupled to mass spectrometry is often hampered by a large amount of biological and technical variability. Here, we introduce an experimental and analytical strategy that can produce robust metabolome profiles in the face of this challenge. By applying a new computational approach based on concordance analysis to an extremely large number of analytical replicates, we are able to show that the overexpression of an antisense non-coding RNA targeting glutamine synthetase I results in a major reorganization of the metabolism of Streptomyces coelicolor, the model species of antibiotic-producing bacteria. We identified 97 metabolites with statistically significant reproducible dynamic behavior across the time series. The observed metabolic changes are very rapid, specific and widespread across metabolism, but focus on the nitrogen assimilation pathways. Our results demonstrate the power of highly replicated experimental designs for the robust characterization of metabolite dynamics. The identified global rearrangement of metabolism suggests the usefulness of RNA interference as an efficient strategy to manipulate the physiology of bacteria with wider biotechnological applicability in microorganisms.     

Synthesis,binding and bioactivity of γ-methylene γ-lactam ecdysone receptor ligands: Advantages of QSAR models for flexible receptors

Nuclear hormone receptors, such as the ecdysone receptor, often display a large amount of induced fit to ligands. The size and shape of the binding pocket in the EcR subunit changes markedly on ligand binding, making modelling methods such as docking extremely challenging. It is, however, possible to generate excellent 3D QSAR models for a given type of ligand, suggesting that the receptor adopts a relatively restricted number of binding site configurations or ‘attractors’. We describe the synthesis, in vitro binding and selected in vivo toxicity data for γ-methylene γ-lactams, a new class of high-affinity ligands for ecdysone receptors from Bovicola ovis (Phthiraptera) and Lucilia cuprina (Diptera). The results of a 3D QSAR study of the binding of methylene lactams to recombinant ecdysone receptor protein suggest that this class of ligands is indeed recognised by a single conformation of the EcR binding pocket.     

Separating the wheat from the chaff: a prioritisation pipeline for the analysis of metabolomics datasets

Liquid Chromatography Mass Spectrometry (LC-MS) is a powerful and widely applied method for the study of biological systems, biomarker discovery and pharmacological interventions. LC-MS measurements are, however, significantly complicated by several technical challenges, including: (1) ionisation suppression/enhancement, disturbing the correct quantification of analytes, and (2) the detection of large amounts of separate derivative ions, increasing the complexity of the spectra, but not their information content. Here we introduce an experimental and analytical strategy that leads to robust metabolome profiles in the face of these challenges. Our method is based on rigorous filtering of the measured signals based on a series of sample dilutions. Such data sets have the additional characteristic that they allow a more robust assessment of detection signal quality for each metabolite. Using our method, almost 80% of the recorded signals can be discarded as uninformative, while important information is retained. As a consequence, we obtain a broader understanding of the information content of our analyses and a better assessment of the metabolites detected in the analyzed data sets. We illustrate the applicability of this method using standard mixtures, as well as cell extracts from bacterial samples. It is evident that this method can be applied in many types of LC-MS analyses and more specifically in untargeted metabolomics.     

半矮秆基因brh1在大麦中的精细定位

选用从大麦、小麦和水稻中分离的RFLP标记 ,构建了大麦半矮秆基因brh1精细图谱。以快中子处理六棱大麦品种Steptoe的种子 ,从M2 代中选择出brh1突变体FN5 3。brh1是一个极易鉴别的形态学标记 ,通过对FN5 3×Morex的F2 代群体进行鉴定表明 ,brh1基因为隐性 ,前人通过BSA法将其初步定位在大麦第 1染色体 (7H)短臂上 ,靠近端粒区。这一区间还有一个控制秆锈病抗性的显性基因Rpg1。所以 ,brh1的精细定位不仅对研究其本身具有重要意义 ,同时 ,也为Rpg1的图位克隆和功能研究提供了更大的重组配子群体。定位实验全部以F2 中具有brh1特征的个体为对象完成 ,鉴定工作在苗期进行。在该精细图上 ,brh1区间长15 .2cM ,各标记间的平均距离为 0 .8cM。其中 ,大麦的cDNA克隆MWG2 0 74B与brh1共分离。 2 0 74A在靠近着丝点一侧 ,与brh1相距 0 .8cM。BCD12 9和R3139在定位群体内呈现与MWG2 0 74A共分离。CDO5 4 5位于端粒一侧 ,距离brh1为 0 .8cM。根据禾谷类作物基因组的共线性原理 ,CDO5 4 5成功定位在水稻的同源染色体即第 6染色体短臂brh1区间内。然而 ,由于在定位亲本间缺乏多态性 ,BCD12 9和MWG2 0 74的 2条主带A和B均未能定位在水稻的共线性区段内。推测MWG2 0 74的其他各带可能被定位在水稻的目标区间内 ,从而有     

Nitrate reductase-deficient mutants in barley: enzyme stability and peptide mapping

Thermal stability and pH optima of NADH-nitrate reductase-associated cytochrome c reductase and FMNH₂-nitrate reductase from wild type, cv Steptoe or Winer, and mutants nar 1d, nar 1g, nar 1h, Xno 18 and Xno 19 were compared to determine if structural differences in the nitrate reductase protein could be detected. Also, the nitrate reductase-associated cytochrome c reductase from nar 1d was purified and compared with the wild type by peptide mapping. The pH optimum for FMNH₂-nitrate reductase from Steptoe and nar 1h, and for NADH-cytochrome c reductase from Steptoe, nar 1d, nar 1g and nar 2a was 7.5. Thermal stabilities of the nitrate reductase-associated activities (FMNH₂-nitrate reductase or NADH-cytochrome c reductase) from nar mutants were less than the Steptoe wild type, while Xno mutants were equal to the Winer wild type. Cleveland peptide maps of nar 1d NADH-cytochrome c reductase and Steptoe nitrate reductase were identicalwhen digested with endoprotease lys-C but were distinctly different in one peptide when digested with Staphylococcus aureus endoprotease V8. These results provide evidence that nar 1 gene codes for the nitrate reductase polypeptide.