Simultaneous modelling of distributional patterns in a guild of eastern-Australian cicadas

Summary The distributions, with respect to habitat structure, of nine species of eastern-Australian cicadas have been shown to be non-random. The most striking consequence of this non-randomness is a marked inverse relationship between habitat breadth and habitat position (terms defined in text). Eight basic models and 12 derived models were used in conjunction with a canonical space to try to account for the ways in which the species of cicadas were distributed with respect to habitat. Several models produced results that were in reasonable agreement with the observed data. The most parsimonious of these corresponds to analytical results of other workers, such as Diamond's (1975) incidence curves, occurrence sequences (Schoener and Schoener 1983), and probability functions (Adler and Wilson 1985). The distributions of cicadas can be modelled by assuming that the species occupy sites independently of one another. These species of cicadas are unlikely to engage in interspecific competition, which is consistent with independence of distributions.     

Effect of Zeitgeber Intensity Reduction on a Simulated Dual-Oscillator Human Circadian System: Classical and Dynamic Analysis

The two-oscillator model of human circadian rhythmicity was analyzed when a zeitgeber relative intensity of 1, 0.5, or 0.1 was introduced into the equations. Fourier analysis was compared with dynamic analysis such as attractor reconstruction or Liapunov exponent calculation. After a 50 or 90% reduction in zeitgeber intensity, the dynamics of the system became equivalent and differed significantly from those of a system with maximal zeitgeber intensity. When 10% aleatory noise was added to the data, the analysis was still applicable, and the results obtained were essentially the same as in the absence of noise. Dynamic analysis could thus provide a distinct classification for periodic data, based on the type of analysis.     

A real-time database/models base/expert system in predictive microbiology

Summary This paper describes the development and operation of a database/models base/expert system funded by the Ministry of Agriculture, Fisheries and Food in the UK. As part of an on-going coordinated program on predictive microbiology, the system being established involves storage of data and models relevant to changes in populations of food-borne pathogens under given conditions. The system is due to be completed by March 1994.     

Selection versus random drift: long-term polymorphism persistence in small populations (evidence and modelling)

Our data on a subterranean mammal, Spalax ehrenbergi, and other evidence, indicate that appreciable polymorphism can be preserved in small isolated populations consisting of several dozens of, or a hundred, individuals. Current theoretical models predict fast gene fixation in small panmictic populations without selection, mutation, or gene inflow. Using simple multilocus models, we demonstrate here that moderate stabilizing selection (with stable or fluctuating optimum) for traits controlled by additive genes could oppose random fixation in such isolates during thousands of generations. We also show that in selection-free models polymorphism persists only for a few hundred generations even under high mutation rates. Our multi-chromosome models challenge the hitchhiking hypothesis of polymorphism maintenance for many neutral loci due to close linkage with few selected loci.     

On the RNA World: Evidence in Favor of an Early Ribonucleopeptide World

A highly complex RNA world, as is sometimes presented in view of the widespread and diversified use of RNA enzymes, would have encountered many difficulties in passing to a world with catalysis mediated by proteins. These difficulties can be overcome by postulating a very early relationship between the nucleotide and the amino acid components. In particular, after asserting that some characteristics expressed by (nucleotide) coenzymes in catalysis are easier to understand if a close and early relationship between these coenzymes and amino acids is hypothesized, a model is presented for the origin of the enzyme–coenzyme complex. This model is essentially based on an intermediate formed by a tRNA-like molecule covalently linked to a polypeptide. The model attributes the majority of the catalytic role in the ribonucleoprotein world to the latter complex and thus it takes into account the birth of the key intermediate in the origin of protein synthesis—namely, peptidyl-tRNA, which would have otherwise been extremely difficult to select. The predictions of the model are discussed along with its robustness, using the data derived from the study of intermediary metabolism and those from molecular biology. Finally, the appearance of the genetic code in the late phase of the ribonucleopeptide world is discussed. Received: 13 January 1997 / Accepted: 25 July 1997     

帕金森病小鼠模型行为学检测方法的比较研究

目的比较目前常用的5种帕金森病(PD)小鼠模型行为学检测方法在PD研究中的作用。方法用MPTP建立C57BL小鼠PD模型,通过行为学检测(自主活动计数、滚轴实验、游泳实验、爬杆实验、悬挂实验)、免疫组织化学和荧光分光光度法,对比5种行为学检测方法的平均数与变异系数,观察MPTP对PD小鼠模型的行为学、黑质多巴胺(DA)神经元和纹状体酪氨酸羟化酶免疫反应阳性(TH-ir)神经纤维以及纹状体DA水平的影响。结果给与MPTP后,小鼠行为学计数降低,爬杆实验未能得到检测结果,悬挂实验变异系数很高,结果有明显的偶然性,滚轴实验结果变异系数中等,平均数呈现一定的上升趋势,自主活动计数中移动与站立和游泳实验的平均数则呈现明显的下降趋势,变异系数很低,而黑质DA神经元数目减少约58%,纹状体TH-ir神经纤维密度减低,纹状体DA水平明显降低约88%,两组相比差异有显著性(P<0.01)。结论MPTP所致的C57BL小鼠的神经病理、生化改变与PD患者近似,自主活动计数和游泳实验优于其他行为学检测方法。     

Classical Molecular Dynamics Simulation of Kappa Squared Factor in Resonance Energy Transfer for Linear Dipole Models

Molecular dynamics simulations of linear models interacting through a dipolar Kihara intermolecular potential are presented. Molecular orientation correlations are used to calculate the orientational factor kappa squared in the resonance energy transfer (RET) as a function of the intermolecular separation. The distance, R 0 (2/3), at which the simulated systems show an isotropic behavior is calculated and an analysis of the dependence of R 0 (2/3) on microscopic properties (molecular aspect ratio and dipole moment) as well on thermodynamics (temperature and density) is presented. An explanation of the use of metallic cations as probes in RET is given and some relations of our models with biological molecules are pointed out.