Modelling spatial dynamics of fish

Our ability to model spatial distributions of fish populations is reviewed by describing the available modelling tools. Ultimate models of the individual's motivation for behavioural decisions are derived from evolutionary ecology. Mechanistic models for how fish sense and may respond to their surroundings are presented for vision, olfaction, hearing, the lateral line and other sensory organs. Models for learning and memory are presented, based both upon evolutionary optimization premises and upon neurological information processing and decision making. Functional tools for modelling behaviour and life histories can be categorized as belonging to an optimization or an adaptation approach. Among optimization tools, optimal foraging theory, life history theory, ideal free distribution, game theory and stochastic dynamic programming are presented. Among adaptation tools, genetic algorithms and the combination with artificial neural networks are described. The review advocates the combination of evolutionary and neurological approaches to modelling spatial dynamics of fish.     

Neogene biochronology of Antarctic diatoms: A comparison between two quantitative approaches,CONOP and UAgraph

A quantitative biochronological study by Cody et al. (2008) integrates comprehensive diatom biostratigraphy, magnetostratigraphy, and tephrostratigraphy from 32 Neogene sections around the Southern Ocean and Antarctic continental margin. A recent method, known as Constrained Optimization (CONOP), which can be viewed as a multidimensional version of graphic correlation, is applied to that very interesting database.The goal of the present paper is to discuss some theoretical aspects of quantitative biochronology and to compare the constrained optimization with the deterministic method called Unitary Associations (UAM), a graph theoretical model. We illustrate the fact that the UAM is an extremely powerful and unique theory allowing an in-depth analysis of the internal conflicting inter-taxon stratigraphic relationships, inherent to any complex biostratigraphical database.     

Anthocyanin 3-galactosides from Cornus alba 'Sibirica' with glucosidation of the B-ring

The three anthocyanins, delphinidin 3-O-beta-galactopyranoside-3',5'-di-O-beta-glucopyranoside (1), delphinidin 3-O-beta-galactopyranoside-3'-O-beta-glucopyranoside (2) and cyanidin 3-O-beta-galactopyranoside-3'-O-beta-glucopyranoside (3), and the 3-O-beta-galactopyranosides of delphinidin (4) and cyanidin (5) were isolated from the bluish white berries and compound umbel of Siberian dogwood, Cornus alba 'Sibirica'. The ornamental autumn leaves and the characteristic purplish red bark of this variety were found to contain only pigment 5.     

Cortisol receptor expression differs in the brains of rainbow trout selected for divergent cortisol responses

In rainbow trout (Oncorhynchus mykiss), selection for divergent post-stress plasma cortisol levels has yielded low (LR)- and high (HR) responsive lines, differing in behavioural and physiological aspects of stress coping. For instance, LR fish display prolonged retention of a fear response and of previously learnt routines, compared to HR fish. This study aims at investigating putative central nervous system mechanisms controlling behaviour and memory retention. The stress hormone cortisol is known to affect several aspects of cognition, including memory retention. Cortisol acts through glucocorticoid receptors 1 and 2 (GR1 and 2) and a mineralcorticoid receptor (MR), all of which are abundantly expressed in the salmonid brain. We hypothesized that different expressions of MR and GRs in LR and HR trout brains could be involved in the observed differences in cognition. We quantified the mRNA expression of GR1, GR2 and MR in different brain regions of stressed and non-stressed LR and HR trout. The expression of MR was higher in LR than in HR fish in all brain parts investigated. This could be associated with reduced anxiety and enhanced memory retention in LR fish. MR and GR1 expression was also subject to negative regulation by stress in a site-specific manner.     

Molecular characterization of airborne fungal spores in boreal forests of contrasting human disturbance

In this study we present a new approach to characterize fungal diversity with DNA sequencing of mycelium grown from trapped airborne spores. Fungal spores were extracted systematically from air in three boreal forest sites (clear-cut, young and old-growth forests) using an air sampling device. Internal transcribed spacer (ITS) sequences from the nuclear ribosomal DNA (nrDNA) were generated, and the sequences most likely taxon affinities were established through DNA homology searches. Phylogenetic analyses were used to classify similar sequences into operational taxonomic units (OTUs). The analyses indicated that a total of 84 different OTUs had been sampled, 24 basidiomycetes and 60 ascomycetes. OTUs belonging to the ascomycete orders Helotiales and Pleosporales were most frequent (31 and 18 respectively). A total of 54, 29 and 33 OTUs were sampled, respectively, in the old-growth, young and clear-cut forest sites. Although heavy generalization should be avoided due to few replicates, the results could indicate that old-growth boreal forests have significantly higher airborne fungal species richness than recently managed forests. The study shows that the spore-trapping approach has a great potential for targeting and studying anonymous fungi.     

Synthesis, biological evaluation and molecular modeling of 1,2,3-triazole analogs of combretastatin A-1

The synthesis, cytotoxicity, inhibition of tubulin polymerization data and anti-angiogenetic effects of seven 1,5-disubstituted 1,2,3-triazole analogs and two 1,4-disubstituted 1,2,3-triazole analogs of combretastatin A-1 (1) are reported herein. The biological studies revealed that the 1,5-disubstituted 1,2,3-triazoles 3-methoxy-6-(1-(3,4,5-trimethoxyphenyl)-1H-1,2,3-triazol-5-yl)benzene-1,2-diol (6), 3-methoxy-6-(1-(3,4,5-trimethoxyphenyl)-1H-1,2,3-triazol-5-yl)benzene-1,2-diamine (8) and 5-(2,3-difluoro-4-methoxyphenyl)-1-(3,4,5-trimethoxyphenyl)-1H-1,2,3-triazole (9) were the three most active compounds regarding inhibition of both tubulin polymerization and angiogenesis. Molecular modeling studies revealed that combretastatins 1 and 2 and analogs 5-11 could be successfully docked into the colchicine binding site of α,β-tubulin.