Amino acid sequence at the phosphorylated site of rat liver pyruvate kinase

One dominating peptic phosphopeptide, Asx-Thr-Lys-Gly-Pro-Glx-Ile-Glx-Thr-Gly-Val-Leu-Arg-Arg-Ala-(³²P)SerP-Val-Ala-Glx-Leu, was obtained from rat liver pyruvate kinase (type L) phosphorylated by cyclic 3′,5′-AMP-stimulated protein kinase from the same tissue. The sequence around the phosphorylated serine residue is similar to that of a corresponding but smaller peptic phosphopeptide previously isolated from pig liver (type L) pyruvate kinase, Leu-Arg-Arg-Ala-(³²P)SerP-Leu.     

Fatigue sacral fractures: A case series and literature review

Objectives:Fatigue sacral fractures (FSFs) are rare and often misdiagnosed. This study presents a series of FSFs and a meticulous literature review.Methods:The present is an 11-year (2010-2021) retrospective observational study. The characteristics of all adult patients with FSF, including demographics, fracture type, treatment, history of fatigue fracture and imaging were evaluated.Results:Eight cases (6 females; 75%), suffering from 12 fractures (4 bilateral cases) with mean age=33.4 years were studied. Two patients (25%) had suffered another fatigue fracture in the past. Mean symptoms’ duration prior diagnosis was 8.5 weeks, while mean symptoms’ duration after diagnosis was 10.75. In most cases (7; 87.5%), MRI revealed the fracture. According to the Kaeding-Miller classification; five fractures (42%) were grade III, four (33%) IV and three (25%) II. All patients were treated conservatively, with rest and analgesics, while three received vitamin D and calcium. One patient, due to delayed union, was commenced on teriparatide.Conclusions:FSFs are often misdiagnosed; therefore, they should be included in the differential diagnosis for chronic low back-or-hip pain in athletes. History of other fatigue injuries seems to be a predisposing factor. It is of paramount importance to obtain advanced imaging for identifying a FSF.     

Molecular phylogenetics of the tribeInuleae s. str.(Asteraceae), based on ITS sequences of nuclear ribosomal DNA

The sequences of the internal transcribed spacer (ITS) region of 18S–26S nrDNA for a sample of 16 taxa from theInuleae s. str. and two outgroup taxa are analysed cladistically with PAUP. A consensus tree of the four most parsimonious cladograms is presented. Three different tests of cladogram stability are conducted (Bremer support, parsimony jackknifing and bootstrapping); all tests indicate a high degree of support for the basal nodes of the tree. The ITS phylogeny of the tribe is compared with previous hypotheses based on morphological data. The position ofAnisopappus as sister group to the rest of the tribe is supported by the molecular data, but the proposed subdivision ofInuleae s. str. into a paleate grade group and an epaleate clade is not. The interpretation of the character evolution of, e.g. receptacular paleae and pappus features within the tribe is discussed.     

Microbial metabolomics: toward a platform with full metabolome coverage

Achieving metabolome data with satisfactory coverage is a formidable challenge in metabolomics because metabolites are a chemically highly diverse group of compounds. Here we present a strategy for the development of an advanced analytical platform that allows the comprehensive analysis of microbial metabolomes. Our approach started with in silico metabolome information from three microorganisms-Escherichia coli, Bacillus subtilis, and Saccharomyces cerevisiae-and resulted in a list of 905 different metabolites. Subsequently, these metabolites were classified based on their physicochemical properties, followed by the development of complementary gas chromatography-mass spectrometry and liquid chromatography-mass spectrometry methods, each of which analyzes different metabolite classes. This metabolomics platform, consisting of six different analytical methods, was applied for the analysis of the metabolites for which commercial standards could be purchased (399 compounds). Of these 399 metabolites, 380 could be analyzed with the platform. To demonstrate the potential of this metabolomics platform, we report on its application to the analysis of the metabolome composition of mid-logarithmic E. coli cells grown on a mineral salts medium using glucose as the carbon source. Of the 431 peaks detected, 235 (=176 unique metabolites) could be identified. These include 61 metabolites that were not previously identified or annotated in existing E. coli databases.     

Multiple stressors on biotic interactions: how climate change and alien species interact to affect pollination

Global change may substantially affect biodiversity and ecosystem functioning but little is known about its effects on essential biotic interactions. Since different environmental drivers rarely act in isolation it is important to consider interactive effects. Here, we focus on how two key drivers of anthropogenic environmental change, climate change and the introduction of alien species, affect plant–pollinator interactions. Based on a literature survey we identify climatically sensitive aspects of species interactions, assess potential effects of climate change on these mechanisms, and derive hypotheses that may form the basis of future research. We find that both climate change and alien species will ultimately lead to the creation of novel communities. In these communities certain interactions may no longer occur while there will also be potential for the emergence of new relationships. Alien species can both partly compensate for the often negative effects of climate change but also amplify them in some cases. Since potential positive effects are often restricted to generalist interactions among species, climate change and alien species in combination can result in significant threats to more specialist interactions involving native species.     

Roles of Poly(3-Hydroxybutyrate) Depolymerase and 3HB-Oligomer Hydrolase in Bacterial PHB Metabolism

Many poly-3-hydroxybutyrate (PHB)-degrading enzymes have been studied. But biological roles of 3HB-oligomer hydrolases (3HBOHs) and how PHB depolymerases (PHBDPs) and 3HBOHs cooperate in PHB metabolism are not fully elucidated. In this study, several PHBDPs and 3HBOHs from three types of bacteria were purified, and their substrate specificity, kinetic properties, and degradation products were investigated. From the results, PHBDP and 3HBOH seemed to play a role in PHB metabolism in three types of bacteria, as follows: (A) In Ralstonia pickettii T1, an extracellular PHBDP degrades extracellular PHB to various-sized 3HB-oligomers, which an extracellular 3HBOH hydrolyzes to 3HB-monomers. (B) In Acidovorax sp. SA1, an extracellular PHBDP hydrolyzes extracellular PHB to small 3HB-oligomers (dimer and trimer), which an intracellular 3HBOH efficiently degrades to 3HB in the cell. (C) In Ralstonia eutropha H16, an intracellular 3HBOH helps in the degradation of intracellular PHB inclusions by PHBDP.     

Evaluating different methods of microarray data normalization

Background  

With the development of DNA hybridization microarray technologies, nowadays it is possible to simultaneously assess the expression levels of thousands to tens of thousands of genes. Quantitative comparison of microarrays uncovers distinct patterns of gene expression, which define different cellular phenotypes or cellular responses to drugs. Due to technical biases, normalization of the intensity levels is a pre-requisite to performing further statistical analyses. Therefore, choosing a suitable approach for normalization can be critical, deserving judicious consideration.     

Phytochemical composition of Potentilla anserina L. analyzed by an integrative GC-MS and LC-MS metabolomics platform

Potentilla anserina L. (Rosaceae) is known for its beneficial effects of prevention of pre-menstrual syndrome (PMS). For this reason P. anserina is processed into many food supplements and pharmaceutical preparations. Here we analyzed hydroalcoholic reference extracts and compared them with various extracts of different pharmacies using an integrative metabolomics platform comprising GC-MS and LC-MS analysis and software toolboxes for data alignment (MetMAX Beta 1.0) and multivariate statistical analysis (COVAIN 1.0). Multivariate statistics of the integrated GC-MS and LC-MS data showed strong differences between the different plant extract formulations. Different groups of compounds such as chlorogenic acid, kaempferol 3-O-rutinoside, acacetin 7-O-rutinoside, and genistein were reported for the first time in this species. The typical fragmentation pathway of the isoflavone genistein confirmed the identification of this active compound that was present with different abundances in all the extracts analyzed. As a result we have revealed that different extraction procedures from different vendors produce different chemical compositions, e.g. different genistein concentrations. Consequently, the treatment may have different effects. The integrative metabolomics platform provides the highest resolution of the phytochemical composition and a mean to define subtle differences in plant extract formulations.