Importance of S. M. Razumovskií's theories for the vegetation science

Publication of S.M. Razumovsky collection works (including some unknown articles) shows his theoretical legacy for current vegetation science. Concepts of S.M. Razumovsky are in the frame of organismic paradigm. He believed that plant communities and associations are natural and continuum concept is only the result of methodical mistakes. Monoclimax (in the meaning of F. Clements) was considered by Razumovsky as the fundamental low of vegetation. Now these statements are very doubtful, but some of his ideas (succession systems, cenophyllous and cenofobous species, the principle and experience of vegetation regionalisation on the base of floristic criteria) are very useful for current vegetation science.     

Genetic tailoring of N-linked oligosaccharides: the role of glucose residues in glycoprotein processing of Saccharomyces cerevisiae in vivo

In higher eukaryotes a quality control system monitoring the folding state of glycoproteins is located in the ER and is composed of the proteins calnexin, calreticulin, glucosidase II, and UDP-glucose: glycoprotein glucosyltransferase. It is believed that the innermost glucose residue of the N- linked oligosaccharide of a glycoprotein serves as a tag in this control system and therefore performs an important function in the protein folding pathway. To address this function, we constructed Saccharomyces cerevisiae strains which contain nonglucosylated (G0), monoglucosylated (G1), or diglucosylated (G2) glycoproteins in the ER and used these strains to study the role of glucose residues in the ER processing of glycoproteins. These alterations of the oligosaccharide structure did not result in a growth phenotype, but the induction of the unfolded protein response upon treatment with DTT was much higher in G0 and G2 strains as compared to wild-type and G1 strains. Our results provide in vivo evidence that the G1 oligosaccharide is an active oligosaccharide structure in the ER glycoprotein processing pathway of S.cerevisiae. Furthermore, by analyzing N- linked oligosaccharides of the constructed strains we can directly show that no general glycoprotein glucosyltransferase exists in S. cerevisiae.      

Validated predictive modelling of the environmental resistome

Multi-drug-resistant bacteria pose a significant threat to public health. The role of the environment in the overall rise in antibiotic-resistant infections and risk to humans is largely unknown. This study aimed to evaluate drivers of antibiotic-resistance levels across the River Thames catchment, model key biotic, spatial and chemical variables and produce predictive models for future risk assessment. Sediment samples from 13 sites across the River Thames basin were taken at four time points across 2011 and 2012. Samples were analysed for class 1 integron prevalence and enumeration of third-generation cephalosporin-resistant bacteria. Class 1 integron prevalence was validated as a molecular marker of antibiotic resistance; levels of resistance showed significant geospatial and temporal variation. The main explanatory variables of resistance levels at each sample site were the number, proximity, size and type of surrounding wastewater-treatment plants. Model 1 revealed treatment plants accounted for 49.5% of the variance in resistance levels. Other contributing factors were extent of different surrounding land cover types (for example, Neutral Grassland), temporal patterns and prior rainfall; when modelling all variables the resulting model (Model 2) could explain 82.9% of variations in resistance levels in the whole catchment. Chemical analyses correlated with key indicators of treatment plant effluent and a model (Model 3) was generated based on water quality parameters (contaminant and macro- and micro-nutrient levels). Model 2 was beta tested on independent sites and explained over 78% of the variation in integron prevalence showing a significant predictive ability. We believe all models in this study are highly useful tools for informing and prioritising mitigation strategies to reduce the environmental resistome.     

Synanthropic plant communities: models of organization and features of classification

It is proposed to distinguish between three models of organization in synanthropic plant communities formed under the influence of man: R-modle, communities of segetal weeds in fields of annual crops and at initial stages of restoration successions; R --> CRS-model, serial communities of the later stages of restoration successions; CRS --> S-model, serial communities of allogenic successions under the influence of grazing and other external factors. The higher units of the ecological and faunistic classification (classes and orders) well represent the succession status and the soil and climate conditions under which synanthropic communities are formed. At the same time, the continual character of synanthropic vegetation makes recognition of plant associations inexpedient in some cases. It is preferable to use the deductive classification method of K. Kope?ky and S. Hejny.     

Relationship of aerobic and anaerobic parameters with 400 m front crawl swimming performance

The aims of the present study were to investigate the relationship of aerobic and anaerobic parameters with 400 m performance, and establish which variable better explains long distance performance in swimming. Twenty-two swimmers (19.1±1.5 years, height 173.9±10.0 cm, body mass 71.2±10.2 kg; 76.6±5.3% of 400 m world record) underwent a lactate minimum test to determine lactate minimum speed (LMS) (i.e., aerobic capacity index). Moreover, the swimmers performed a 400 m maximal effort to determine mean speed (S400m), peak oxygen uptake (V.O2PEAK) and total anaerobic contribution (C_ANA). The C_ANA was assumed as the sum of alactic and lactic contributions. Physiological parameters of 400 m were determined using the backward extrapolation technique (V.O2PEAK and alactic contributions of C_ANA) and blood lactate concentration analysis (lactic anaerobic contributions of C_ANA). The Pearson correlation test and backward multiple regression analysis were used to verify the possible correlations between the physiological indices (predictor factors) and S400m (independent variable) (p < 0.05). Values are presented as mean ± standard deviation. Significant correlations were observed between S400m (1.4±0.1 m·s^-1) and LMS (1.3±0.1 m·s^-1; r = 0.80), V.O2PEAK (4.5±3.9 L·min^-1; r = 0.72) and C_ANA (4.7±1.5 L·O₂; r= 0.44). The best model constructed using multiple regression analysis demonstrated that LMS and V.O2PEAK explained 85% of the 400 m performance variance. When backward multiple regression analysis was performed, C_ANA lost significance. Thus, the results demonstrated that both aerobic parameters (capacity and power) can be used to predict 400 m swimming performance.     

The problem of continuum versus discreteness in current ecology

The problem of continuality versus discreteness of vegetation cover ("biocoenotic cover"--more generally) was the object of heated debates for at least hundred years. The ideas of continuality have been spread in the USSR in the 1970-80s but later the adherents of other approach, that focused on the discreteness of vegetation became more active. The author discussed the views of one of them, A.I. Kafanov (2005), published recently in "Zhurnal Obshchei Biologii". It is claimed that pluralistic approach that is characteristic for present ecology makes unnecessary the search for universal law of relationship between continuum and discreteness of biocoenotic cover. This relationship depends on the particular character of biocoenotic cover and the scale of study.     

Conformation dependence of the CαDα stretch mode in peptides: Side‐chain influence in dipeptide structures

We have shown by theoretical studies of alanine peptides that the C^αD^α stretch frequency could be particularly useful for determining peptide structure because of its sensitivity to the φ,ψ torsion angles at the C^α atom. To demonstrate that this is a robust methodology worthy of experimental exploration, we have also shown that this mode is even more determinative of conformation in aqueous solution, mainly as a result of the development of differential C^α? D^α···O(water) interactions. As further assurance, we now determine the influence of the side chain on this band, showing for aliphatic, a polar, and an aromatic side chains that the dependence is minor and explaining why this is also expected for other side chains. These results should stimulate new experimental methodologies in the field of peptide structure determination. © 2010 Wiley Periodicals, Inc. Biopolymers 93: 1065–1071, 2010. This article was originally published online as an accepted preprint. The “Published Online” date corresponds to the preprint version. You can request a copy of the preprint by emailing the Biopolymers editorial office at biopolymers@wiley.com