Host selection in phytophagous insects: a new explanation for learning in adults

Insect learning can change the preferences an egg laying female displays towards different host plant species. Current hypotheses propose that learning may be advantageous in adult host selection behaviour through improved recognition, accuracy or selectivity in foraging. In this paper, we present a hypothesis for when learning can be advantageous without such improvements in adult host foraging. Specifically, that learning can be an advantageous strategy for egg laying females when larvae must feed on more than one plant in order to complete development, if the fitness of larvae is reduced when they switch to a different host species. Here, larvae benefit from developing on the most abundant host species, which is the most likely choice of host for an adult insect which increases its preference for a host species through learning. The hypothesis is formalised with a mathematical model and we provide evidence from studies on the behavioural ecology of a number of insect species which demonstrate that the assumptions of this hypothesis may frequently be fulfilled in nature. We discuss how multiple mechanisms may convey advantages in insect learning and that benefits to larval development, which have so far been overlooked, should be considered in explanations for the widespread occurrence of learning.     

Progress and Development in Biological Education

A method is described for the culture in vitro of cells from amphibian early embryos. Such cells can be used to demonstrate a number of the properties of eukaryote cells: cell motility, cell adhesion, cell sorting into tissues, and cell differentiation. The technique can be readily extended by altering the conditions under which cells are cultured, and the results of such experiments can be used to make suggestions about some of the factors which influence cell behaviour.     

Study of models of single populations: development of equations used in microorganism cultures

This article derives a number of equations which can be used in both continuous and the semicontinuous cultures of microorganism populations in chemostat systems. Using these equations, some phenomena which have been known for many years can be explained reasonably in terms of chemical kinetics, and a number of analytical solutions can be obtained instead of numerical solutions previously published.     

A simple matrix method for determining flux control coefficients in complex pathways

Flux control coefficients express in quantitative terms the extent to which the steady state flux through a metabolic pathway is controlled by a particular parameter. Enzyme flux control coefficients can be calculated using matrix algebra methods which express the control coefficients in terms of parameters which can be determined experimentally (enzyme elasticities, flux ratios, metabolite ratios). This paper describes an algorithm based on a 'constraint' matrix which enables expressions for enzyme control coefficients to be written for pathways of any complexity.     

Changes in binding of hydrogen ions in enzyme-catalyzed reactions

Most enzyme-catalyzed reactions produce or consume hydrogen ions, and this is expressed by the change in the binding of hydrogen ions in the biochemical reaction, as written in terms of reactants (sums of species). This property of a biochemical reaction is important because it determines the change in the apparent equilibrium constant K' with pH. This property is also important because it is the number of moles of hydrogen ions that can be produced by a biochemical reaction for passage through a membrane, or can be accepted from a transfer through a membrane. There are two ways to calculate the change in binding of hydrogen ions for an enzyme-catalyzed reaction. The first, which has been used for a long time, involves calculating the partial derivative of the standard transformed Gibbs energy of reaction with respect to pH. The second involves calculating the average numbers of hydrogen ions in each reactant and adding and subtracting these average numbers. The changes in binding of hydrogen ions calculated by the second method at pHs 5, 6, 7, 8, and 9 are given for 23 enzyme-catalyzed reactions. Values are given for 206 more reactions on the web. This database can be extended to include more reactions for which pKs of reactants are known or can be estimated.     

Probiotics in man and animals

There is good evidence that the complex microbial flora present in the gastrointestinal tract of all warm-blooded animals is effective in providing resistance to disease. However, the composition of this protective flora can be altered by dietary and environmental influences, making the host animal susceptible to disease and/or reducing its efficiency of food utilization. What we are doing with the probiotic treatments is re-establishing the natural condition which exists in the wild animal but which has been disrupted by modern trends in conditions used for rearing young animals, including human babies, and in modern approaches to nutrition and disease therapy. These are all areas where the gut flora can be altered for the worse and where, by the administration of probiotics, the natural balance of the gut microflora can be restored and the animal returned to its normal nutrition, growth and health status.     

Tests for recombinagens in fungi.

Three types of mitotic recombination can be studied in Aspergillus nidulans and Saccharomyces cerevisiae: (1) The classical type of reciprocal mitotic crossing-over which can be detected when it occurs between non-sister chromatids at the four-strand stage followed by co-segregation of a crossing-over and a non-crossing-over chromatid in the subsequent mitotic division. Consequently, mitotic crossing-over reflects cellular responses to primary genetic damage in the G2 phase of the cell cycle. (2) Mitotic gene conversion is a unidirectional event of a localized transfer of genetic information between non-sister chromatids which in yeast can extend to segments of up to 18 cM and even beyond 22 cM in Aspergillus nidulans. Mitotic gene conversion can also occur between unreplicated chromatids and lead to the expression of the newly created genotype without any need for a subsequent mitotic cell division. It reflects a cellular response in G1. (3) Mitotic sister-strand gene conversion can be studied in a recently constructed strain with the same technical ease as classical non-sister chromatid gene conversion. It can be induced by chemicals which do not induce mutation in the Salmonella system and non-sister chromatid gene conversion. Mitotic segregation in Saccharomyces cerevisiae results almost exclusively from crossing-over and gene conversion whereas mitotic chromosomal malsegregation contributes only very little. In contrast to this, in Aspergillus nidulans, both processes contribute considerably so that mitotic segregants always have to be tested for their mechanistic origin.     

微囊化细胞培养过程的物质传递机理和细胞生长特性

综述了用于描述微囊化细胞培养过程中物质传递机理和细胞生长特性的数学模型,分析了这些模型在应用于微囊化细胞培养系统时所存在的问题,为建立能精确描述微囊化细胞培养过程中的物质传递机理和细胞生长特性的数学模型提供必要的参考,以有效推动微囊化技术在生物医学工程领域的应用。     

Progression Analysis and Stage Discovery in Continuous Physiological Processes Using Image Computing

We propose an image computing-based method for quantitative analysis of continuous physiological processes that can be sensed by medical imaging and demonstrate its application to the analysis of morphological alterations of the bone structure, which correlate with the progression of osteoarthritis (OA). The purpose of the analysis is to quantitatively estimate OA progression in a fashion that can assist in understanding the pathophysiology of the disease. Ultimately, the texture analysis will be able to provide an alternative OA scoring method, which can potentially reflect the progression of the disease in a more direct fashion compared to the existing clinically utilized classification schemes based on radiology. This method can be useful not just for studying the nature of OA, but also for developing and testing the effect of drugs and treatments. While in this paper we demonstrate the application of the method to osteoarthritis, its generality makes it suitable for the analysis of other progressive clinical conditions that can be diagnosed and prognosed by using medical imaging.     

Uses of flow cytometry in hematology

Flow Cytometry, an analytical cytology technic which allows several parameters assessment in thousands cells per seconds is frequently used in hematology. The oldest application is the leucocyte count but several news applications have been developed for the analysis of cytomorphological and functional parameters of normal cells and for detection, classification of tumor cells. Most frequent applications are: The phenotyping of cells and the evaluation of relation between antigens and pathology. The cell cycle analysis which can be different in leukemic cells or which can be modified with chemotherapy or other agents. (Radiotherapy ...) Flow Karyotyping and in situ hybridization will extend applications of Flow Cytometry in hematology.     

Gene-environment interactions in human diseases

Studies of gene-environment interactions aim to describe how genetic and environmental factors jointly influence the risk of developing a human disease. Gene-environment interactions can be described by using several models, which take into account the various ways in which genetic effects can be modified by environmental exposures, the number of levels of these exposures and the model on which the genetic effects are based. Choice of study design, sample size and genotyping technology influence the analysis and interpretation of observed gene-environment interactions. Current systems for reporting epidemiological studies make it difficult to assess whether the observed interactions are reproducible, so suggestions are made for improvements in this area.     

Engineered minichromosomes in plants

Genetic engineering for complex or combined traits requires the simultaneous expression of multiple genes, and has been considered as the bottleneck for the next generation of genetic engineering in plants. Minichromosome technology provides one solution to the stable expression and maintenance of multiple transgenes in one genome. For example, minichromosomes can be used as a platform for efficient stacking of multiple genes for insect, bacterial and fungal resistances together with herbicide tolerance and crop quality traits. All the transgenes would reside on an independent minichromosome, not linked to any endogenous genes; thus linkage drag can be avoided. Engineered minichromosomes can be easily constructed by a telomere-mediated chromosomal truncation strategy. This approach does not rely on the cloning of centromere sequences, which are species-specific, and bypasses the any complications of epigenetic components for centromere specification. Thus, this technique can be easily extended to all plant species. The engineered minichromosome technology can also be used in combination with site-specific recombination systems to facilitate the stacking of multiple transgenes.     

Biphasic regulation in ligand-receptor interactions

A model is examined in which an excess of activator may inhibit the response in a ligand-receptor interaction. The equation accounts for biphasic responses in which an effector stimulates the response at low concentrations and then inhibits the response at higher concentrations, towards a limit that can be higher, identical or lower than the initial value. Reciprocal features could be observed according to the values of the involved parameters. A maximum 7 dimensions can be found in the space of the parameters of the equation which is of the simple form: v = (A + B + C). Sn/(H + Sn).     

A genetic system to assess in vivo the functions of histones and histone modifications in higher eukaryotes

Despite the fundamental role of canonical histones in nucleosome structure, there is no experimental system for higher eukaryotes in which basic questions about histone function can be directly addressed. We developed a new genetic tool for Drosophila melanogaster in which the canonical histone complement can be replaced with multiple copies of experimentally modified histone transgenes. This new histone‐replacement system provides a well‐defined and direct cellular assay system for histone function with which to critically test models in chromatin biology dealing with chromatin assembly, variant histone functions and the biological significance of distinct histone modifications in a multicellular organism.     

The use of biomarkers in surveillance, medical screening, and intervention

Building on mechanistic information, much of molecular epidemiologic research has focused on validating biomarkers, that is, assessing their ability to accurately indicate exposure, effect, disease, or susceptibility. To be of use in surveillance, medical screening, or interventions, biomarkers must already be validated so that they can be used as outcomes or indicators that can serve a particular function. In surveillance, biomarkers can be used as indicators of hazard, exposure, disease, and population risk. However, to obtain rates for these measures, the population at risk will need to be assessed. In medical screening, biomarkers can serve as early indicators of disease in asymptomatic people. This allows for the identification of those who should receive diagnostic confirmation and early treatment. In intervention (which includes risk assessment and communication, risk management, and various prevention efforts), biomarkers can be used to assess the effectiveness of a prevention or control strategy as well as help determine whether the appropriate individuals are assigned to the correct intervention category. Biomarkers can be used to provide group and individual risk assessments that can be the basis for marshalling resources. Critical for using biomarkers in surveillance, medical screening, and intervention is the justification that the biomarkers can provide information not otherwise accessible by a less expensive and easier-to-obtain source of information, such as medical records, surveys, or vital statistics. The ability to use validated biomarkers in surveillance, medical screening, and intervention will depend on the extent to which a strategy for evidence-based procedures for biomarker knowledge transfer can be developed and implemented. This will require the interaction of researchers and decision-makers to collaborate on public health and medical issues.     

利用基因诱捕识别哺乳动物发育调控基因

ES细胞是一种来源于胚胎的多潜能细胞,它可在体外培养并进行基因操作,而且通过囊胚注射制作嵌合体的途径,能将外源基因掺入小鼠的基因库中,因此利用ES细胞可筛选出发生基因突变的小概率事件并获得其遗传突变体．利用基因诱捕载体与ES细胞,研究与哺乳动物发育调控有关的未知基因,这一新技术将成为阐明胚胎发育过程中基因表达的时空格式的有效手段．     

Oxygen gradients in small and big sparged insect-cell bioreactors

Conclusions It should be clear from the above that the calculations described here are at best rough estimations yielding order-of-magnitude values. Even though, the following general conclusions can be drawn. The gradients in stagnant layers surrounding the particles which are characteristic for animal-cell bioreactors are relatively small as compared to the gradients which can be expected in the bulk-liquid phases of the three bioreactors considered, in particular to the gradients in the stagnant layer surrounding the air bubbles. It can be concluded that under almost all circumstances gradients are likely to exist and can be very steep in larger vessels and in particular at high cell densities. The effects of gradients, however, are largely unknown; therefore research on the effects of gradients on specific and volumetric productivities and product quality seems to be an interesting area.