Fitting net photosynthetic light-response curves with Microsoft Excel — a critical look at the models

In this study, we presented the most commonly employed net photosynthetic light-response curves (P _N/I curves) fitted by the Solver function of Microsoft Excel. Excel is attractive not only due to its wide availability as a part of the Microsoft Office suite but also due to the increased level of familiarity of undergraduate students with this tool as opposed to other statistical packages. In this study, we explored the use of Excel as a didactic tool which was built upon a previously published paper presenting an Excel Solver tool for calculation of a net photosynthetic/chloroplastic CO₂-response curve. Using the Excel spreadsheets accompanying this paper, researchers and students can quickly and easily choose the best fitted P _N/I curve, selecting it by the minimal value of the sum of the squares of the errors. We also criticized the misuse of the asymptotic estimate of the maximum gross photosynthetic rate, the light saturation point estimated at a specific percentile of maximum net photosynthetic rate, and the quantum yield at zero photosynthetic photon flux density and we proposed the replacement of these variables by others more directly linked to plant ecophysiology.     

jClustering,an Open Framework for the Development of 4D Clustering Algorithms

We present jClustering, an open framework for the design of clustering algorithms in dynamic medical imaging. We developed this tool because of the difficulty involved in manually segmenting dynamic PET images and the lack of availability of source code for published segmentation algorithms. Providing an easily extensible open tool encourages publication of source code to facilitate the process of comparing algorithms and provide interested third parties with the opportunity to review code. The internal structure of the framework allows an external developer to implement new algorithms easily and quickly, focusing only on the particulars of the method being implemented and not on image data handling and preprocessing. This tool has been coded in Java and is presented as an ImageJ plugin in order to take advantage of all the functionalities offered by this imaging analysis platform. Both binary packages and source code have been published, the latter under a free software license (GNU General Public License) to allow modification if necessary.     

R-loop-dependent replication and genomic instability in bacteria

DNA replication, the faithful copying of genetic material, must be tightly regulated to produce daughter cells with intact copies of the chromosome(s). This regulated replication is initiated by binding of specific proteins at replication origins, such as DnaA to oriC in bacteria. However, unregulated replication can sometimes be initiated at other sites, which can threaten genomic stability. One of the first systems of unregulated replication to be described is the one activated in Escherichia coli mutants lacking RNase HI (rnhA). In fact, rnhA mutants can replicate their chromosomes in a DnaA- and oriC-independent process. Because this replication occurs in cells lacking RNase HI, it is proposed that RNA from R-loops is used as a DNA polymerase primer. Replication from R-loops has recently attracted increased attention due to the advent of DNA:RNA hybrid immunoprecipitation coupled with high-throughput DNA sequencing that revealed the high prevalence of R-loop formation in many organisms, and the demonstration that R-loops can severely threaten genomic stability. Although R-loops have been linked to genomic instability mostly via replication stress, evidence of their toxic effects via unregulated replication has also been presented. Replication from R-loops may also beneficially trigger stress-induced mutagenesis (SIM) that assists bacterial adaptation to stress. Here, we describe the cis- and trans-acting elements involved in R-loop-dependent replication in bacteria, with an emphasis on new data obtained with type 1A topoisomerase mutants and new available technologies. Furthermore, we discuss about the mechanism(s) by which R-loops can reshape the genome with both negative and positive outcomes.     

Genetic diversity, population structure and genome-wide marker-trait association analysis emphasizing seed nutrients of the USDA pea (Pisum sativum L.) core collection

Genetic diversity, population structure and genome-wide marker-trait association analysis was conducted for the USDA pea (Pisum sativum L.) core collection. The core collection contained 285 accessions with diverse phenotypes and geographic origins. The 137 DNA markers included 102 polymorphic fragments amplified by 15 microsatellite primer pairs, 36 RAPD loci and one SCAR (sequence characterized amplified region) marker. The 49 phenotypic traits fall into the categories of seed macro- and micro-nutrients, disease resistance, agronomic traits and seed characteristics. Genetic diversity, population structure and marker-trait association were analyzed with the software packages PowerMarker, STUCTURE and TASSEL, respectively. A great amount of variation was revealed by the DNA markers at the molecular level. Identified were three sub-populations that constituted 56.1%, 13.0% and 30.9%, respectively, of the USDA Pisum core collection. The first sub-population is comprised of all cultivated pea varieties and landraces; the second of wild P. sativum ssp. elatius and abyssinicum and the accessions from the Asian highland (Afghanistan, India, Pakistan, China and Nepal); while the third is an admixture containing alleles from the first and second sub-populations. This structure was achieved using a stringent cutoff point of 15% admixture (q-value 85%) of the collection. Significant marker-trait associations were identified among certain markers with eight mineral nutrient concentrations in seed and other important phenotypic traits. Fifteen pairs of associations were at the significant levels of P ?? 0.01 when tested using the three statistical models. These markers will be useful in marker-assisted selection to breed pea cultivars with desirable agronomic traits and end-user qualities.     

Phase-contrast versus off-axis illumination: is a more complex microscope always more powerful?

In this article, a practical demonstration suitable for any biology college classroom is presented. With the examples of a complex biological specimen (slug's radula) and a simple reference specimen (electron microscopical grid imprint in gelatin), both of which can be easily prepared, the capabilities of two imaging modes commonly used in optical microscopy are demonstrated. The results obtained under phase contrast (a rather sophisticated method, 1953 Nobel Prize to Zernike) and off-axis illumination (a very simple method) are compared. The off-axis illumination setup is capable of delivering noticeably better microscopic images of these two particular specimens, yet it can be easily assembled in a laboratory classroom. The outcome of such a demonstration is expected to be the realization on the part of the students that one needs to carefully choose the apparatus to address a given biological problem, with the "bottom line" being that a more complex one may not necessarily yield better results. An attempt to explain this "paradox" is presented, in the particular case presented here, partly from the physiology of vision perspective (the shape-from-shading problem). The overall aim of the present article is to induce in students critical thinking about the capabilities of a laboratory equipment in general and about data interpretation.     

Automics: an integrated platform for NMR-based metabonomics spectral processing and data analysis

Background  

Spectral processing and post-experimental data analysis are the major tasks in NMR-based metabonomics studies. While there are commercial and free licensed software tools available to assist these tasks, researchers usually have to use multiple software packages for their studies because software packages generally focus on specific tasks. It would be beneficial to have a highly integrated platform, in which these tasks can be completed within one package. Moreover, with open source architecture, newly proposed algorithms or methods for spectral processing and data analysis can be implemented much more easily and accessed freely by the public.     

Thoeretical study of the packing of α-helices of poly(l-alanine) into transmembrane bundles. Possible significance for ion-transfer

Energy optimizations are carried out on packages of Nα-helices of poly(l-alanine) from N = 3−7, starting from an initial arrangement of the helices at the vertices of various polygonal prisms, in view of the possible formation of channel-making bundles in membranes. The results show: that, for each N, a number of stable packages exist; that the presence of one pair (and even two) of adjacent parallel helices in a package is not incompatible with its stability, due to the overcompensation of its unfavorable electrostatic energy by the sum of the corresponding favorable terms for the antiparallel pairs; and that some packages provide ready-made pores in their interior. The energy profile computed for Na⁺ inside one of the pores (resulting from five helices) shows a favorable energy all the way through, in spite of the methyl groups protruding into the channel. Similarly one water molecule interacts favorably with this pore throughout.     

Identifying Issue Frames in Text

Framing, the effect of context on cognitive processes, is a prominent topic of research in psychology and public opinion research. Research on framing has traditionally relied on controlled experiments and manually annotated document collections. In this paper we present a method that allows for quantifying the relative strengths of competing linguistic frames based on corpus analysis. This method requires little human intervention and can therefore be efficiently applied to large bodies of text. We demonstrate its effectiveness by tracking changes in the framing of terror over time and comparing the framing of abortion by Democrats and Republicans in the U.S.     

Measuring the Effects of Bacteria on C. Elegans Behavior Using an Egg Retention Assay

C. elegans egg-laying behavior is affected by environmental cues such as osmolarity¹ and vibration². In the total absence of food C. elegans also cease egg-laying and retain fertilized eggs in their uterus³. However, the effect of different sources of food, especially pathogenic bacteria and particularly Enterococcus faecalis, on egg-laying behavior is not well characterized. The egg-in-worm (EIW) assay is a useful tool to quantify the effects of different types of bacteria, in this case E. faecalis, on egg- laying behavior.EIW assays involve counting the number of eggs retained in the uterus of C. elegans⁴. The EIW assay involves bleaching staged, gravid adult C. elegans to remove the cuticle and separate the retained eggs from the animal. Prior to bleaching, worms are exposed to bacteria (or any type of environmental cue) for a fixed period of time. After bleaching, one is very easily able to count the number of eggs retained inside the uterus of the worms. In this assay, a quantifiable increase in egg retention after E. faecalis exposure can be easily measured. The EIW assay is a behavioral assay that may be used to screen for potentially pathogenic bacteria or the presence of environmental toxins. In addition, the EIW assay may be a tool to screen for drugs that affect neurotransmitter signaling since egg-laying behavior is modulated by neurotransmitters such as serotonin and acetylcholine^5-9.     

Pelican: pedigree editor for linkage computer analysis

SUMMARY: Linkage analysis software requires an input text file that describes the structure of the pedigrees to be analysed. Manual creation of these files is tedious and error-prone, and a graphical input tool is desirable. This is currently only available in commercial packages that include much greater functionality. We have therefore developed Pelican, a lightweight graphical pedigree editor for rapid construction of linkage pedigree files and diagrams. AVAILABILITY: The software runs on any Java-enabled machine (version 1.2 or higher). A Java Web Start launch, class files, a demonstration applet, source code and documentation are freely available at http://www.rfcgr.mrc.ac.uk/Software/PELICAN/     

Role of mermithid nematodes in biological control of mosquitoes

Mermithid nematodes have been reported from at least 63 species of mosquitoes from all over the world, but until recently they have received little attention. Such nematodes are prime candidates as biological control agents because they have adapted to the life cycle of the host; are host specific; produce high levels of parasitism; kill the hosts; are easily handled; have a high reproductive potential; are free swimming and can be disseminated easily in the infective stage; and can be used in an inundative or inoculative manner to control mosquitoes. Nevertheless, with the exception of one mermithid species, little is known about factors that influence parasitism in mosquitoes. Also, only one species of mermithid has been successfully mass cultured to date. The exception is the mermithid Reesimermis nielseni. With this mermithid, high levels of parasitism can be obtained in natural populations of mosquitoes at reasonable dosages; preparasitic nematodes can be applied easily by using many of the standard techniques used to apply insecticides; and R. nielseni can establish itself in many of the sites in which it is released. The same potentials exist for mermithids of other aquatic insects.     

The social learning of tool use by orangutans (Pongo pygmaeus)

Very little is known about the social learning of orangutans (Pongo pygmaeus), especially in the context of problem-solving situations such as tool use. Sixteen orangutans were presented with a rake-like tool and desirable but out-of-reach food. Eight subjects observed a human demonstrator use the tool in one way, while another eight observed the demonstrator use the tool in another way. Subjects behaved identically in the two experimental conditions, showing no effect of the type of demonstration observed. Analysis of individual learning curves suggested that a large component of individual trial-and-error learning was at work, even for two subjects who received additional trials with an orangutan demonstrator. This pattern of results suggests that subjects were paying attention to the general functional relations in the task and to the results obtained by the demonstrator, but not to the actual methods of tool use demonstrated. It is concluded that subjects in both conditions were employing emulation learning, not imitative learning.     

Improved analysis of bacterial CGH data beyond the log-ratio paradigm

Background

While the theory of enzyme kinetics is fundamental to analyzing and simulating biochemical systems, the derivation of rate equations for complex mechanisms for enzyme-catalyzed reactions is cumbersome and error prone. Therefore, a number of algorithms and related computer programs have been developed to assist in such derivations. Yet although a number of algorithms, programs, and software packages are reported in the literature, one or more significant limitation is associated with each of these tools. Furthermore, none is freely available for download and use by the community.

Results

We have implemented an algorithm based on the schematic method of King and Altman (KA) that employs the topological theory of linear graphs for systematic generation of valid reaction patterns in a GUI-based stand-alone computer program called KAPattern. The underlying algorithm allows for the assumption steady-state, rapid equilibrium-binding, and/or irreversibility for individual steps in catalytic mechanisms. The program can automatically generate MathML and MATLAB output files that users can easily incorporate into simulation programs.

Conclusion

A computer program, called KAPattern, for generating rate equations for complex enzyme system is a freely available and can be accessed at http://www.biocoda.org.     

Adapting EcoCyc for use on the World Wide Web

The World Wide Web (WWW) offers the potential to deliver specialized information to an audience of unprecedented size. Along with this exciting new opportunity comes a challenge for software developers: instead of rewriting our software applications to operate over the WWW, how can we maximize software reuse by retrofitting existing applications? We have developed a Web server tool. written in Common Lisp, that allows existing graphical user interface applications written using the Common Lisp Interface Manager (CLIM) to hook easily into the WWW. This tool — CWEST (CLIM-WEb Server Tool, pronounced “quest”) — was developed to operate with EcoCyc, an electronic encylopedia of the genes and metabolism of the bacterium E. coli. EcoCyc consists of a database of objects relevant to E. coli biochemistry and a user interface, implemented in CLIM, that runs on the X-window system and generates graphical displays appropriate to biological objects. Each query to the EcoCyc WWW server is treated as a command to the EcoCyc program, which dynamically generates an appropriate CLIM drawing. CWEST translates that drawing, which can be a mixture of text and graphics, into the HyperText Markup Language (HTML) and/or the Graphics Interchange Format (GIF), which are returned to the client. Sensitive regions embedded in the CLIM drawing are converted to hyperlinks with Universal Resource Locators (URLs) that generate further EcoCyc queries. This tight coupling of CLIM output with Web output makes CLIM a powerful high-level programming tool for Web applications. The flexibility of Common Lisp and CLIM made implementation of the server tool surprisingly easy, requiring few changes to the existing EcoCyc program. The results can be seen at URL http://www.ai.sri.com/ecocyc/browser.html. We have made CWEST available to the CLIM community at large, with the hope that it will spur other software developers to make their CLIM applications available over the WWW.     

Parallel Key Frame Extraction for Surveillance Video Service in a Smart City

Surveillance video service (SVS) is one of the most important services provided in a smart city. It is very important for the utilization of SVS to provide design efficient surveillance video analysis techniques. Key frame extraction is a simple yet effective technique to achieve this goal. In surveillance video applications, key frames are typically used to summarize important video content. It is very important and essential to extract key frames accurately and efficiently. A novel approach is proposed to extract key frames from traffic surveillance videos based on GPU (graphics processing units) to ensure high efficiency and accuracy. For the determination of key frames, motion is a more salient feature in presenting actions or events, especially in surveillance videos. The motion feature is extracted in GPU to reduce running time. It is also smoothed to reduce noise, and the frames with local maxima of motion information are selected as the final key frames. The experimental results show that this approach can extract key frames more accurately and efficiently compared with several other methods.     

ggtreeExtra: Compact Visualization of Richly Annotated Phylogenetic Data

We present the ggtreeExtra package for visualizing heterogeneous data with a phylogenetic tree in a circular or rectangular layout (https://www.bioconductor.org/packages/ggtreeExtra). The package supports more data types and visualization methods than other tools. It supports using the grammar of graphics syntax to present data on a tree with richly annotated layers and allows evolutionary statistics inferred by commonly used software to be integrated and visualized with external data. GgtreeExtra is a universal tool for tree data visualization. It extends the applications of the phylogenetic tree in different disciplines by making more domain-specific data to be available to visualize and interpret in the evolutionary context.     

Radiomics software for breast imaging optimization and simulation studies

Background and ObjectiveThe development, control and optimisation of new x-ray breast imaging modalities could benefit from a quantitative assessment of the resulting image textures. The aim of this work was to develop a software tool for routine radiomics applications in breast imaging, which will also be available upon request.MethodsThe tool (developed in MATLAB) allows image reading, selection of Regions of Interest (ROI), analysis and comparison. Requirements towards the tool also included convenient handling of common medical and simulated images, building and providing a library of commonly applied algorithms and a friendly graphical user interface. Initial set of features and analyses have been selected after a literature search. Being open, the tool can be extended, if necessary.ResultsThe tool allows semi-automatic extracting of ROIs, calculating and processing a total of 23 different metrics or features in 2D images and/or in 3D image volumes. Computations of the features were verified against computations with other software packages performed with test images. Two case studies illustrate the applicability of the tool – (i) features on a series of 2D ‘left’ and ‘right’ CC mammograms acquired on a Siemens Inspiration system were computed and compared, and (ii) evaluation of the suitability of newly proposed and developed breast phantoms for x-ray-based imaging based on reference values from clinical mammography images. Obtained results could steer the further development of the physical breast phantoms.ConclusionsA new image analysis toolbox was realized and can now be used in a multitude of radiomics applications, on both clinical and test images.