Robustness and complexity co-constructed in multimodal signalling networks

In animal communication, signals are frequently emitted using different channels (e.g. frequencies in a vocalization) and different modalities (e.g. gestures can accompany vocalizations). We explore two explanations that have been provided for multimodality: (i) selection for high information transfer through dedicated channels and (ii) increasing fault tolerance or robustness through multichannel signals. Robustness relates to an accurate decoding of a signal when parts of a signal are occluded. We show analytically in simple feed-forward neural networks that while a multichannel signal can solve the robustness problem, a multimodal signal does so more effectively because it can maximize the contribution made by each channel while minimizing the effects of exclusion. Multimodality refers to sets of channels where within each set information is highly correlated. We show that the robustness property ensures correlations among channels producing complex, associative networks as a by-product. We refer to this as the principle of robust overdesign. We discuss the biological implications of this for the evolution of combinatorial signalling systems; in particular, how robustness promotes enough redundancy to allow for a subsequent specialization of redundant components into novel signals.     

Airborne pollen calendar of the central region of Bursa (Turkey)

This report describes qualitatively and quantitatively the level of pollen in the atmosphere in the central region of Bursa. Turkey. In 1991, the season of maximum pollen concentration was from April to June, with a prevalence of arboreal pollen during the initial months, and of pollen from herbaceous plants in the latter months. During the year of research, 24 taxa of arboreal and 12 taxa of herbaceous pollen grains were collected and identified. In the region investigatedPinus, Cupressaceae/Taxaceae,Abies nordmanniana, Platanus orientalis, Olea europaea, Gramineae, Urticaceae, Chenopodiaceae/Amaranthaceae,Artemisia and Compositae were responsible for the greatest amounts of pollen. Some important allergenic pollens such asOlea europaea, Gramineae and Urticaceae were also found in high concentration. In this study, a pollen calendar for the region is presented.     

Differentiation and levels of genetic variation in northern European lynx (Lynx lynx) populations revealed by microsatellites and mitochondrial DNA analysis

The European lynx (Lynx lynx) hasexperienced significant decline in populationnumbers over large parts of its formerdistribution area in central and northernEurope. In Scandinavia (Sweden and Norway), thespecies has been subject to intense hunting and inthe early 20th century the population size mayhave been as low as about 100 animals. Duringthe rest of the century there have beenalternating periods of restricted hunting andtotal protection. Future management of theScandinavian lynx population will requireinsight into what effects demographicbottlenecks may have had on genetic variabilityand structure. For this purpose, 276 lynxesfrom Sweden, Norway, Finland, Estonia andLatvia were analysed for polymorphism at 11feline microsatellite loci and at themitochondrial DNA (mtDNA) control region.Scandinavian lynxes were found to be fixed fora single mtDNA haplotype, while this and threeadditional haplotypes were seen in Finland andthe Baltic States (Estonia and Latvia); thehaplotypes were all very similar, onlydiffering at 1–4 sites within a 700 bp regionsequenced. Microsatellite variability wasmoderate (H_e = 0.51–0.62) with lowerheterozygosity and fewer alleles in Scandinaviathan in Finland and the Baltic States together,though significant so only for the latter.Heterozygosity data in Scandinavia wereconsistent with a recent population bottleneck.Various analyses (e.g. F_st, individual-basedtree, assignment test) revealed distinctgenetic differentiation between Scandinavianlynxes and animals from Finland and the BalticStates. Some structure was evident withinScandinavia as well, suggesting an isolation bydistance. The observed partition of geneticvariability between Scandinavia and the easterncountries thereof indicates that lynxpopulations from the two regions may need to beseparately managed. We discuss what factors canhave contributed to the population geneticstructure seen in northern European lynxpopulations of today.     

Therapeutic Potential of Some Plant Extracts Used in Turkish Traditional Medicine on Streptozocin-Induced Type 1 Diabetes Mellitus in Rats

Diabetes mellitus (DM) is known to impair many physiological functions. Some reports claim that medicinal plants can reduce these alterations caused by DM. The aim of this study was to investigate the therapeutic potential of aqueous-methanol extracts of Urtica dioica, Thymus vulgaris (TV), Myrtus communis (MC), Scolymus hispanicus (SH) and Cinnamomun zeylanicum (CZ) on streptozotocin (STZ)-induced type 1 DM in rats. Diabetes was induced via a single i.p. injection of STZ (65 mg/kg body weight). After 1 week to allow for development of diabetes, each plant extract was administered to diabetic rats separately at a dose of 100 mg/kg body weight daily for 28 days. The results showed that only SH extract significantly (P < 0.05) amended fasting blood glucose level. The lipid profile was ameliorated especially by supplementations of TV, MC and CZ extracts. Almost all plant extract treatments markedly (P < 0.05) increased reduced glutathione content and decreased lipid peroxidation levels of erythrocyte, plasma, retina and lens tissues. They also significantly (P < 0.05) amended erythrocyte catalase activity, levels of marker serum enzymes (except amylase), urea and blood urea nitrogen when compared to diabetic rats treated with nothing. Furthermore, none of the plant extracts counteracted body weight loss of diabetic rats. Our data revealed that the aforementioned plant extracts have remarkable potential to counteract DM-caused alterations, probably through their antioxidant and free radical-defusing effects.     

Effects of α-tocopherol on serum trace and major elements in rats with bleomycin-induced pulmonary fibrosis

The study was undertaken to investigate the influence of α-tocopherol on zinc, copper, iron, calcium, magnesium, and potassium concentrations in serum of rats with bleomycin-induced pulmonary fibrosis. Fourteen Wistar albino rats were randomly divided into two groups of seven animals each. The first group was treated intratracheally with bleomycin hydrochloride (BM group); the second group was also instilled with BM but received injections of α-tocopherol twice a week (BM+E group). The third group was treated in the same manner with saline solution only, acting as controls (C). The zinc concentrations of the BM and BM+E groups were significantly decreased compared to the controls (p<0.05). The iron concentration of the controls was significantly higher than the other two groups. The magnesium concentration in the controls and the BM+E group was significantly higher than that of the BM group. The serum copper, calcium, and potassium concentrations were not found to be statistically different among the three groups. Distinct histopathologic changes were found in the BM group compared to the untreated rats. Less severe fibrotic lesions were also observed in the BM+E group. The results of this study show that lungs of rats treated with bleomycin were seriously damaged and that vitamin E seemed to counteract some of the damage, as indicated by differences in the serum concentrations of major elements.     

Zipf’s Law: Balancing Signal Usage Cost and Communication Efficiency

We propose a model that explains the reliable emergence of power laws (e.g., Zipf’s law) during the development of different human languages. The model incorporates the principle of least effort in communications, minimizing a combination of the information-theoretic communication inefficiency and direct signal cost. We prove a general relationship, for all optimal languages, between the signal cost distribution and the resulting distribution of signals. Zipf’s law then emerges for logarithmic signal cost distributions, which is the cost distribution expected for words constructed from letters or phonemes.     

A novel integrative network approach to understand the interplay between cardiovascular disease and other complex disorders

There is accumulating evidence that the proteins encoded by the genes associated with a common disorder interact with each other, participate in similar pathways and share GO terms. It has been anticipated that the functional modules in a disease related functional linkage network can be integrated with bibliomics to reveal association with other complex disorders. In this study, the cardiovascular disease functional linkage network (CFN) containing 1536 nodes and 3345 interactions was constructed using proteins encoded by 234 genes associated with the disease. Integration of CFN with bibliomics showed that 227 out of 566 functional modules are significantly associated with one or more diseases. Analysis of functional modules revealed the possible regulatory roles of SP1 and CXCL12 in the pathogenesis of cardiovascular disease (CVD) and modulation of their activities may be considered as potential therapeutic tools. The integration of CFN with bibliomics also indicated significant relations of CVD with other complex disorders. In a stratified map the members of 227 functional modules and 58 diseases in 15 disease classes were combined. In this map, leprosy, listeria monocytogenes, myasthenia, hemorrhagic diathesis and Protein S deficiency, which were not previously reported to be associated with CVD, showed significant associations. Several cancers arising from epithelial cells were also found to be linked to other diseases through hub proteins, VEGFA and PTGS2.     

Blotting protein complexes from native gels to electron microscopy grids

We report a simple and generic method for the direct transfer of protein complexes separated by native gel electrophoresis to electron microscopy grids. After transfer, sufficient material remains in the gel for identification and characterization by mass spectrometry. The method should facilitate higher-throughput single-particle analysis by substantially reducing the time needed for protein purification, as demonstrated for three complexes from Thermoplasma acidophilum.