Physiological model using diffuse reflectance spectroscopy for nonmelanoma skin cancer diagnosis

Diffuse reflectance spectroscopy (DRS) is a noninvasive, fast, and low‐cost technology with potential to assist cancer diagnosis. The goal of this study was to test the capability of our physiological model, a computational Monte Carlo lookup table inverse model, for nonmelanoma skin cancer diagnosis. We applied this model on a clinical DRS dataset to extract scattering parameters, blood volume fraction, oxygen saturation and vessel radius. We found that the model was able to capture physiological information relevant to skin cancer. We used the extracted parameters to classify (basal cell carcinoma [BCC], squamous cell carcinoma [SCC]) vs actinic keratosis (AK) and (BCC, SCC, AK) vs normal. The area under the receiver operating characteristic curve achieved by the classifiers trained on the parameters extracted using the physiological model is comparable to that of classifiers trained on features extracted via Principal Component Analysis. Our findings suggest that DRS can reveal physiologic characteristics of skin and this physiologic model offers greater flexibility for diagnosing skin cancer than a pure statistical analysis. Physiological parameters extracted from diffuse reflectance spectra data for nonmelanoma skin cancer diagnosis.     

转几丁质酶和葡聚糖酶双价基因棉花对土壤细菌种群多样性的影响

以转几丁质酶和葡聚糖酶双价基因棉花为研究对象,非转基因受体棉花为对照,通过比较可培养细菌数量和基于16S rRNA克隆文库细菌种群分析,评价外源双价基因的导入在苗期、蕾期、花铃期和吐絮期对棉花根际细菌群落多样性的影响。结果表明,可培养细菌的数量不受外源双价基因的影响,随着棉花生育期的交替而变化,以代谢旺盛的花铃期最多。构建的转基因和非转基因不同生育期根际土壤细菌16S rRNA文库容量为2400个克隆,涵盖了细菌的283个属。其中,Acidobacterium是最大优势类群,共包括624个克隆,其次为未知细菌种群和Flavisolibacter。比较转基因和非转基因棉花根际土壤细菌的种群结构,结果显示,同一生育期内前者种群的多样性显著低于后者,二者的共有类群随着生长发育的进行而增多。研究结果说明几丁质酶基因和葡聚糖酶基因对棉花根际细菌种群多样性有着不同程度的削减作用,但是随着种植时间的延长,该差异呈现逐渐缩小的趋势。     

Survival of genetically engineered Escherichia coli in natural soil and river water

Twelve derivatives of Escherichia coli strain HB101 which contained different sizes of plasmids ranging from 3.9 Kb to 48 Kb and encoding resistance to various antibiotics were used. When these organisms were introduced into natural river water, the population declined rapidly and by day 3, the majority (i.e. more than 99.9%) of them could no longer be detected on antibiotic-amended culture plates. If the river water was filter sterilized first, the added organisms maintained their population for up to 7 d without any significant decrease in numbers. Similar results were also observed in sterilized tap water or distilled water. This indicated that the disappearance of these organisms in the aquatic environment was caused mainly by biotic factor(s). The loss of the ability to grow in the presence of antibiotics by some of the E. coli was not observed unless they were allowed to grow in the antibiotic-free environment first. When the test organisms were added to natural silt loam, a large portion of the original population still remained viable after 16 d. There was no relationship between the percentage survival of E. coli in natural river water and the sizes of plasmid harboured. On the other hand, when these bacteria were added to natural soil, survival appeared to increase as plasmid size increased. and accepted 19 August 1989     

Genome sequences of siphoviruses infecting marine Synechococcus unveil a diverse cyanophage group and extensive phage-host genetic exchanges

Investigating the interactions between marine cyanobacteria and their viruses (phages) is important towards understanding the dynamic of ocean's primary productivity. Genome sequencing of marine cyanophages has greatly advanced our understanding about their ecology and evolution. Among 24 reported genomes of cyanophages that infect marine picocyanobacteria, 17 are from cyanomyoviruses and six from cyanopodoviruses, and only one from cyanosiphovirus (Prochlorococcus phage P-SS2). Here we present four complete genome sequences of siphoviruses (S-CBS1, S-CBS2, S-CBS3 and S-CBS4) that infect four different marine Synechococcus strains. Three distinct subtypes were recognized among the five known marine siphoviruses (including P-SS2) in terms of morphology, genome architecture, gene content and sequence similarity. Our study revealed that cyanosiphoviruses are genetically diverse with polyphyletic origin. No core genes were found across these five cyanosiphovirus genomes, and this is in contrast to the fact that many core genes have been found in cyanomyovirus or cyanopodovirus genomes. Interestingly, genes encoding three structural proteins and a lysozyme of S-CBS1 and S-CBS3 showed homology to a prophage-like genetic element in two freshwater Synechococcus elongatus genomes. Re-annotation of the prophage-like genomic region suggests that S.?elongatus may contain an intact prophage. Cyanosiphovirus genes involved in DNA metabolism and replication share high sequence homology with those in cyanobacteria, and further phylogenetic analysis based on these genes suggests that ancient and selective genetic exchanges occurred, possibly due to past prophage integration. Metagenomic analysis based on the Global Ocean Sampling database showed that cyanosiphoviruses are present in relatively low abundance in the ocean surface water compared to cyanomyoviruses and cyanopodoviruses.     

A biofilm model to understand the onset of sulfate reduction in denitrifying membrane biofilm reactors

This work presents a multispecies biofilm model that describes the co‐existence of nitrate‐ and sulfate‐reducing bacteria in the H₂‐based membrane biofilm reactor (MBfR). The new model adapts the framework of a biofilm model for simultaneous nitrate and perchlorate removal by considering the unique metabolic and physiological characteristics of autotrophic sulfate‐reducing bacteria that use H₂ as their electron donor. To evaluate the model, the simulated effluent H₂, UAP (substrate‐utilization‐associated products), and BAP (biomass‐associated products) concentrations are compared to experimental results, and the simulated biomass distributions are compared to real‐time quantitative polymerase chain reaction (qPCR) data in the experiments for parameter optimization. Model outputs and experimental results match for all major trends and explain when sulfate reduction does or does not occur in parallel with denitrification. The onset of sulfate reduction occurs only when the nitrate concentration at the fiber's outer surface is low enough so that the growth rate of the denitrifying bacteria is equal to that of the sulfate‐reducing bacteria. An example shows how to use the model to design an MBfR that achieves satisfactory nitrate reduction, but suppresses sulfate reduction. Biotechnol. Bioeng. 2013; 110: 763–772. © 2012 Wiley Periodicals, Inc.     

Taxonomic Precision of Different Hypervariable Regions of 16S rRNA Gene and Annotation Methods for Functional Bacterial Groups in Biological Wastewater Treatment

High throughput sequencing of 16S rRNA gene leads us into a deeper understanding on bacterial diversity for complex environmental samples, but introduces blurring due to the relatively low taxonomic capability of short read. For wastewater treatment plant, only those functional bacterial genera categorized as nutrient remediators, bulk/foaming species, and potential pathogens are significant to biological wastewater treatment and environmental impacts. Precise taxonomic assignment of these bacteria at least at genus level is important for microbial ecological research and routine wastewater treatment monitoring. Therefore, the focus of this study was to evaluate the taxonomic precisions of different ribosomal RNA (rRNA) gene hypervariable regions generated from a mix activated sludge sample. In addition, three commonly used classification methods including RDP Classifier, BLAST-based best-hit annotation, and the lowest common ancestor annotation by MEGAN were evaluated by comparing their consistency. Under an unsupervised way, analysis of consistency among different classification methods suggests there are no hypervariable regions with good taxonomic coverage for all genera. Taxonomic assignment based on certain regions of the 16S rRNA genes, e.g. the V1&V2 regions – provide fairly consistent taxonomic assignment for a relatively wide range of genera. Hence, it is recommended to use these regions for studying functional groups in activated sludge. Moreover, the inconsistency among methods also demonstrated that a specific method might not be suitable for identification of some bacterial genera using certain 16S rRNA gene regions. As a general rule, drawing conclusions based only on one sequencing region and one classification method should be avoided due to the potential false negative results.     

Pyrophosphate contamination in crystalline phosphocreatine: a source of error in kinetic studies using coupled enzymes.

Commercial crystalline phosphocreatine generally contains a contaminant, probably pyrophosphate, that can inhibit nucleoside triphosphatases and may therefore cause errors in steady-state kinetic studies of creatine kinase-coupled r reactions. Ion-exchange chromatography reveals the presence of pyrophosphate in some batches of phosphocreatine sufficient to account for the observed inhibition. Chromatographically purified phosphocreatine shows no inhibitory effect.