Rubuskaznowskii (Rosaceae), a new bramble species from south-central Poland.

Based on field research in south-central Poland, supplemented with a review of herbarium materials, we identified a stable bramble biotype with a range large enough (190 km distance between the outermost stands) to be described as a new regional agamic species, Rubuskaznowskii sp.nov. It belongs to the series Subthyrsoidei(sect. Corylifolii). Although R.kaznowskii has a unique combination of features, it can be potentially mistaken for R.gothicus. It differs from the latter species in many aspects, including: pruinose primocanes, denser indumentum of the abaxial leaf surface, and more curved prickles on the petiole. R.kaznowskii has mainly been observed on rusty soils, in habitats of mixed coniferous and mixed broadleaf forests, usually in sunny places, along forest margins and roads, in clearings and roadside thickets.

HPLC of flavanones and chalcones in different species and clones of Salix.

The SPE-HPLC method was developed to determine an isosalipurposide (5) and its derivative, 6"-O-p-coumaroyl ester (6) in the bark of eight taxa (I-VIII) belonging to three species of the genus Salix and originating from a natural habitat or cultivated for pharmaceutical purposes. The chalcones were separated by HPLC under gradient elution with the concentration of ACN increasing from 20% to 50% in 0.1% aqueous H3PO, (tG 15 min). The content of both compounds was determined by an external standardization with the use of isoliquiritigenin (7) as a reference substance - a commercially available chalcone, and also isosalipurposide (5) and its derivative, 6"-O-p-coumaroyl ester (6). The latter compound was isolated from the bark of Salix daphnoides (IV) by a CC and semi-preparative HPLC and its structure was elucidated by MS and NMR spectra. It was stated that 6"-O-p-coumaroylisosalipurposide (6), in addition to isosalipurposide (5), is a characteristic flavonoid for the S. daphnoides species. Moreover, the presence of these two chalcones was confirmed in the bark of S. acutifolia (I). Differences were observed in the results obtained from a quantitative analysis due to the type of reference substance used. The content of chalcones was varied and dependent on the species selected for analysis, namely from 22.01/21.08 mg/g in S. daphnoides clone 1095 (III) to 2.47/2.44 mg/g in S. daphnoides (II), collected from a natural habitat. Isosalipurposide (5) was determined in all the investigated species and clones of Salix, besides a number of naringenin derivatives. Separation of all flavonoids: flavanones - naringenin (1), naringenin (+)-5-O-glucoside (2), (-)-5-O-glucoside (3), 7-O-glucoside (4) and chalcones (5 and 6) was performed under gradient elution with the same solvents and changes in ACN concentration from 2% to 37% (tG 60 min). The total amount of flavanones ranged from 4.69 mg/g in S. purpurea clone 1132 (VII) to 41.93 mg/g in S. purpuea (VIII) from Herbapol Wroclaw.

Time-dependent ARMA modeling of genomic sequences.

BACKGROUND: Over the past decade, many investigators have used sophisticated time series tools for the analysis of genomic sequences. Specifically, the correlation of the nucleotide chain has been studied by examining the properties of the power spectrum. The main limitation of the power spectrum is that it is restricted to stationary time series. However, it has been observed over the past decade that genomic sequences exhibit non-stationary statistical behavior. Standard statistical tests have been used to verify that the genomic sequences are indeed not stationary. More recent analysis of genomic data has relied on time-varying power spectral methods to capture the statistical characteristics of genomic sequences. Techniques such as the evolutionary spectrum and evolutionary periodogram have been successful in extracting the time-varying correlation structure. The main difficulty in using time-varying spectral methods is that they are extremely unstable. Large deviations in the correlation structure results from very minor perturbations in the genomic data and experimental procedure. A fundamental new approach is needed in order to provide a stable platform for the non-stationary statistical analysis of genomic sequences. RESULTS: In this paper, we propose to model non-stationary genomic sequences by a time-dependent autoregressive moving average (TD-ARMA) process. The model is based on a classical ARMA process whose coefficients are allowed to vary with time. A series expansion of the time-varying coefficients is used to form a generalized Yule-Walker-type system of equations. A recursive least-squares algorithm is subsequently used to estimate the time-dependent coefficients of the model. The non-stationary parameters estimated are used as a basis for statistical inference and biophysical interpretation of genomic data. In particular, we rely on the TD-ARMA model of genomic sequences to investigate the statistical properties and differentiate between coding and non-coding regions in the nucleotide chain. Specifically, we define a quantitative measure of randomness to assess how far a process deviates from white noise. Our simulation results on various gene sequences show that both the coding and non-coding regions are non-random. However, coding sequences are "whiter" than non-coding sequences as attested by a higher index of randomness. CONCLUSION: We demonstrate that the proposed TD-ARMA model can be used to provide a stable time series tool for the analysis of non-stationary genomic sequences. The estimated time-varying coefficients are used to define an index of randomness, in order to assess the statistical correlations in coding and non-coding DNA sequences. It turns out that the statistical differences between coding and non-coding sequences are more subtle than previously thought using stationary analysis tools: Both coding and non-coding sequences exhibit statistical correlations, with the coding regions being "whiter" than the non-coding regions. These results corroborate the evolutionary periodogram analysis of genomic sequences and revoke the stationary analysis' conclusion that coding DNA behaves like random sequences.

A simple algorithm for quantifying DNA methylation levels on multiple independent CpG sites in bisulfite genomic sequencing electropherograms.

DNA methylation at cytosines is a widely studied epigenetic modification. Methylation is commonly detected using bisulfite modification of DNA followed by PCR and additional techniques such as restriction digestion or sequencing. These additional techniques are either laborious, require specialized equipment, or are not quantitative. Here we describe a simple algorithm that yields quantitative results from analysis of conventional four-dye-trace sequencing. We call this method Mquant and we compare it with the established laboratory method of combined bisulfite restriction assay (COBRA). This analysis of sequencing electropherograms provides a simple, easily applied method to quantify DNA methylation at specific CpG sites.

Interaction of hydrogen with unsupported and supported nickel.

The adsorption of molecular hydrogen on Ni powder and on Ni/Al(2)O(3) and Ni/SiO(2) catalysts was studied by the temperature-programmed desorption (TPD) method. The examinations were performed in the flow system, starting the TP measurements at low temperatures of 100 or 78 K, which resulted in the formation of complete characteristics of the interaction of hydrogen with nickel. Generally, three forms of chemisorbed hydrogen were distinguished: alpha, adsorbed on Ni surface, beta, adsorbed in the "second layer", and gamma, located in the subsurface region of nickel. The comparison of the results of this work with those obtained in vacuum systems for various Ni surfaces has led to the conclusion that the same form of hydrogen desorbs from nickel above 200 K in vacuum systems but above 300 K in flow systems. The examinations performed for Ni/Al(2)O(3) and Ni/SiO(2) samples show that alumina suppresses but silica enhances the formation of the beta-form of hydrogen.