Biodegradation of octylphenol polyethoxylate surfactant Triton X-100 by selected microorganisms

Octylphenol polyethoxylate (OPEO(n)) surfactants are used in numerous commercial and industrial products. Large amounts of such surfactants and their various residual biodegradation by-products are ultimately released into the environment. OPEO(n) biodegradation was performed in this study using pure cultures of Pseudomonas species and strains under different environmental conditions. Environmental factors including the pH, nitrogen sources, and growth kinetics of the cells were investigated. The intermediates of Triton X-100 biotransformation were detected by high performance liquid chromatography-mass spectrophotograph (HPLC-MS). We found the highest specific growth rate (mu) was 0.56 h(-1) and this was achieved by strain E with an initial concentration of Triton X-100 of 5000 mg L(-1). A pH level of 7 was most favorable for cell growth for all five strains. The highest specific growth rate was achieved using (NH(4))(2)SO(4) as the sole nitrogen source for strain E. Strain A showed an enhancement of growth when between 0.2 and 1.4 mg L(-1) of H(2)O(2) was added. Detection of intermediates was possible after four days of transformation and the octylphenol triethoxylate (OPEO(3)) peak was predominant, while the high molecular weight peaks had all disappeared. The kinetic analysis demonstrated that the greatest maximum specific growth rate (mu(max)) and the greatest saturation constant (K(s)) of 0.83 h(-1) and 5.24 mg L(-1), respectively, were obtained for strain E in 5000 mg L(-1) Triton X-100. The higher K(i) revealed that strain A was resistant to higher Triton X-100 concentrations.     

How actin crosslinking and bundling proteins cooperate to generate an enhanced cell mechanical response

Actin-crosslinking proteins organize actin filaments into dynamic and complex subcellular scaffolds that orchestrate important mechanical functions, including cell motility and adhesion. Recent mutation studies have shown that individual crosslinking proteins often play seemingly non-essential roles, leading to the hypothesis that they have considerable redundancy in function. We report live-cell, in vitro, and theoretical studies testing the mechanical role of the two ubiquitous actin-crosslinking proteins, alpha-actinin and fascin, which co-localize to stress fibers and the basis of filopodia. Using live-cell particle tracking microrheology, we show that the addition of alpha-actinin and fascin elicits a cell mechanical response that is significantly greater than that originated by alpha-actinin or fascin alone. These live-cell measurements are supported by quantitative rheological measurements with reconstituted actin filament networks containing pure proteins that show that alpha-actinin and fascin can work in concert to generate enhanced cell stiffness. Computational simulations using finite element modeling qualitatively reproduce and explain the functional synergy of alpha-actinin and fascin. These findings highlight the cooperative activity of fascin and alpha-actinin and provide a strong rationale that an evolutionary advantage might be conferred by the cooperative action of multiple actin-crosslinking proteins with overlapping but non-identical biochemical properties. Thus the combination of structural proteins with similar function can provide the cell with unique properties that are required for biologically optimal responses.     

Tight clustering: a resampling-based approach for identifying stable and tight patterns in data

In this article, we propose a method for clustering that produces tight and stable clusters without forcing all points into clusters. The methodology is general but was initially motivated from cluster analysis of microarray experiments. Most current algorithms aim to assign all genes into clusters. For many biological studies, however, we are mainly interested in identifying the most informative, tight, and stable clusters of sizes, say, 20-60 genes for further investigation. We want to avoid the contamination of tightly regulated expression patterns of biologically relevant genes due to other genes whose expressions are only loosely compatible with these patterns. "Tight clustering" has been developed specifically to address this problem. It applies K-means clustering as an intermediate clustering engine. Early truncation of a hierarchical clustering tree is used to overcome the local minimum problem in K-means clustering. The tightest and most stable clusters are identified in a sequential manner through an analysis of the tendency of genes to be grouped together under repeated resampling. We validated this method in a simulated example and applied it to analyze a set of expression profiles in the study of embryonic stem cells.     

Efficiently mining gene expression data via a novel parameterless clustering method

Clustering analysis has been an important research topic in the machine learning field due to the wide applications. In recent years, it has even become a valuable and useful tool for in-silico analysis of microarray or gene expression data. Although a number of clustering methods have been proposed, they are confronted with difficulties in meeting the requirements of automation, high quality, and high efficiency at the same time. In this paper, we propose a novel, parameterless and efficient clustering algorithm, namely, correlation search technique (CST), which fits for analysis of gene expression data. The unique feature of CST is it incorporates the validation techniques into the clustering process so that high quality clustering results can be produced on the fly. Through experimental evaluation, CST is shown to outperform other clustering methods greatly in terms of clustering quality, efficiency, and automation on both of synthetic and real data sets.     

A fine physical map of the rice chromosome 5

A fine physical map of the rice (Oryza sativa spp. Japonica var. Nipponbare) chromosome 5 with bacterial artificial chromosome (BAC) and PI-derived artificial chromosome (PAC) clones was constructed through integration of 280 sequenced BAC/PAC clones and 232 sequence tagged site/expressed sequence tag markers with the use of fingerprinted contig data of the Nipponbare genome. This map consists of five contigs covering 99% of the estimated chromosome size (30.08 Mb). The four physical gaps were estimated at 30 and 20 kb for gaps 1–3 and gap 4, respectively. We have submitted 42.2-Mb sequences with 29.8 Mb of nonoverlapping sequences to public databases. BAC clones corresponding to telomere and centromere regions were confirmed by BAC-fluorescence in situ hybridization (FISH) on a pachytene chromosome. The genetically centromeric region at 54.6 cM was covered by a minimum tiling path spanning 2.1 Mb with no physical gaps. The precise position of the centromere was revealed by using three overlapping BAC/PACs for ~150 kb. In addition, FISH results revealed uneven chromatin condensation around the centromeric region at the pachytene stage. This map is of use for positional cloning and further characterization of the rice functional genomics. Electronic supplementary material Supplementary material is available in the online version of this article at and is accessible for authorized users. Chia-Hsiung Cheng and Mei-Chu Chung have equal contributions.     

Isolation and Characterization of Novel Giant Stenotrophomonas maltophilia Phage φSMA5

Stenotrophomonas maltophilia is one of the most prevalent opportunistic bacteria causing nosocomial infections. It has become problematic because most of the isolates are resistant to multiple antibiotics, and therefore, development of phage therapy has attracted strong attention. In this study, eight S. maltophilia phages were isolated from clinical samples including patient specimens, catheter-related devices, and wastewater. These phages can be divided into four distinct groups based on host range and digestibility of the phage DNAs with different restriction endonucleases. One of them, designated SMA5, was further characterized. Electron microscopy showed it resembled Myoviridae, with an isometric head (90 nm in diameter), a tail (90 nm long), a baseplate (25 nm wide), and short tail fibers. The SMA5 double-stranded DNA, refractory to digestion by most restriction enzymes, was tested and estimated to be 250 kb by pulsed-field gel electrophoresis. This genome size is second to that of the largest phage, KZ of Pseudomonas aeruginosa. In sodium dodecyl sulfate-polyacrylamide gel electrophoresis, 25 virion proteins were visualized. N-terminal sequencing of four of them suggested that each of them might have had its N terminus cleaved off. Among the 87 S. maltophilia strains collected in this study, only 61 were susceptible to SMA5, indicating that more phages are needed toward a phage therapy strategy. Since literature search yielded no information about S. maltophilia phages, SMA5 appears to be the first reported.     

2.45 GHz radiofrequency fields alter gene expression in cultured human cells

The biological effect of radiofrequency (RF) fields remains controversial. We address this issue by examining whether RF fields can cause changes in gene expression. We used the pulsed RF fields at a frequency of 2.45 GHz that is commonly used in telecommunication to expose cultured human HL-60 cells. We used the serial analysis of gene expression (SAGE) method to measure the RF effect on gene expression at the genome level. We observed that 221 genes altered their expression after a 2-h exposure. The number of affected genes increased to 759 after a 6-h exposure. Functional classification of the affected genes reveals that apoptosis-related genes were among the upregulated ones and the cell cycle genes among the downregulated ones. We observed no significant increase in the expression of heat shock genes. These results indicate that the RF fields at 2.45 GHz can alter gene expression in cultured human cells through non-thermal mechanism.     

Transforming growth factor-beta induces the expression of ANF and hypertrophic growth in cultured cardiomyoblast cells through ZAK

Transforming growth factor-beta (TGF-beta) has been associated with the onset of cardiac cell hypertrophy, but the mechanisms underlying this dissociation are not completely understood. By a previous study, we investigated the involvement of a MAP3K, ZAK, which in cultured H9c2 cardiac cells is a positive mediator of cell hypertrophy. Our results showed that expression of a dominant-negative form of ZAK inhibited the characteristic TGF-beta-induced features of cardiac hypertrophy, including increased cell size, elevated expression of atrial natriuretic factor (ANF), and increased organization of actin fibers. Furthermore, dominant-negative MKK7 effectively blocked both TGF-beta-and ZAK-induced ANF expression. In contrast, a JNK/SAPK specific inhibitor, sp600125, had little effect on TGF-beta- or ZAK-induced ANF expression. Our findings suggest that a ZAK mediates TGF-beta-induced cardiac hypertrophic growth via a novel TGF-beta signaling pathway that can be summarized as TGF-beta>ZAK>MKK7>ANF.     

Are residues in a protein folding nucleus evolutionarily conserved?

Protein is the working molecule of the cell, and evolution is the hallmark of life. It is important to understand how protein folding and evolution influence each other. Several studies correlating experimental measurement of residue participation in folding nucleus and sequence conservation have reached different conclusions. These studies are based on assessment of sequence conservation at folding nucleus sites using entropy or relative entropy measurement derived from multiple sequence alignment. Here we report analysis of conservation of folding nucleus using an evolutionary model alternative to entropy-based approaches. We employ a continuous time Markov model of codon substitution to distinguish mutation fixed by evolution and mutation fixed by chance. This model takes into account bias in codon frequency, bias-favoring transition over transversion, as well as explicit phylogenetic information. We measure selection pressure using the ratio omega of synonymous versus non-synonymous substitution at individual residue site. The omega-values are estimated using the PAML method, a maximum-likelihood estimator. Our results show that there is little correlation between the extent of kinetic participation in protein folding nucleus as measured by experimental phi-value and selection pressure as measured by omega-value. In addition, two randomization tests failed to show that folding nucleus residues are significantly more conserved than the whole protein, or the median omega value of all residues in the protein. These results suggest that at the level of codon substitution, there is no indication that folding nucleus residues are significantly more conserved than other residues. We further reconstruct candidate ancestral residues of the folding nucleus and suggest possible test tube mutation studies for testing folding behavior of ancient folding nucleus.