Background
The Indigenous knowledge of plants is scientifically and culturally very significant. This paper elucidates the empirical findings of an ethnobotanical survey of Banda Daud Shah, District Karak, Pakistan.Methods
Data collection was carried out from October 2011 to September 2012. Total twelve survey trips were made, three in each season. About 100 respondents were interviewed; most of them were aged people between 60–70 years. Interviews were conducted using structured questionnaire composed of variety of questions regarding ethnomedicinal uses of plants of the study area. Direct matrix ranking (DMR), informant citations and market survey of multipurpose plants were also carried out.Results
The local community was using 58 plant species belonging to 52 genera and 34 families for different purposes. A total of 25 plant species were herbs followed by 18 shrubs. Leaf (45%) was the most commonly used plant part followed by the whole plants (23%). In total, 40 plant species were medicinally used to treat variety of diseases, of which highest number of species being used for gastro-intestinal problems (19 spp.), expectorant (3 spp.) and antipyretic (3 spp.). Beside medicinal values, 25 species were used for fuel and 18 for fodder purposes. Informant consensus showed that gastrointestinal and respiratory infections were ranked highest (FIC?=?0.75) among all ailments. According to DMR output, Dalbergia sisso ranked first due to high multipurpose uses among all species and was found most threatened with higher market value.Conclusion
The investigated area is rural in nature and the inhabitants are highly dependent on the native plants for their health care needs and other requirements like fuel wood and fodder due to financial constraints and unavailability of resources. Medicinal plants for high ranked diseases may be phtyochemicaly and pharmacologically investigated to prove their efficacy. The local medicinal flora is facing overexploitation, overgrazing and improper way of collection. Proper conservation strategies such as controlled grazing, reforestation and rangeland management among many others may be adopted to promote the sustainable use of medicinal plants.Background
Cellular activities are governed by the physical and the functional interactions among several proteins involved in various biological pathways. With the availability of sequenced genomes and high-throughput experimental data one can identify genome-wide protein-protein interactions using various computational techniques. Comparative assessments of these techniques in predicting protein interactions have been frequently reported in the literature but not their ability to elucidate a particular biological pathway.Methods
Towards the goal of understanding the prediction capabilities of interactions among the specific biological pathway proteins, we report the analyses of 14 biological pathways of Escherichia coli catalogued in KEGG database using five protein-protein functional linkage prediction methods. These methods are phylogenetic profiling, gene neighborhood, co-presence of orthologous genes in the same gene clusters, a mirrortree variant, and expression similarity.Conclusions
Our results reveal that the prediction of metabolic pathway protein interactions continues to be a challenging task for all methods which possibly reflect flexible/independent evolutionary histories of these proteins. These methods have predicted functional associations of proteins involved in amino acids, nucleotide, glycans and vitamins & co-factors pathways slightly better than the random performance on carbohydrate, lipid and energy metabolism. We also make similar observations for interactions involved among the environmental information processing proteins. On the contrary, genetic information processing or specialized processes such as motility related protein-protein linkages that occur in the subset of organisms are predicted with comparable accuracy. Metabolic pathways are best predicted by using neighborhood of orthologous genes whereas phyletic pattern is good enough to reconstruct central dogma pathway protein interactions. We have also shown that the effective use of a particular prediction method depends on the pathway under investigation. In case one is not focused on specific pathway, gene expression similarity method is the best option. 相似文献Worldwide, cyanobacterial blooms are becoming more frequent, exacerbated by eutrophication, anthropogenic effects, and global climate change. Environmental factors play a direct role in photosynthesis of cyanobacteria and subsequent cellular changes, growth, and bloom dynamics. This study investigated the photosynthetic functioning of a persistent bloom-forming (18 months) cyanobacterium, Cyanothece sp., isolated from Lake St Lucia, South Africa. DUAL-PAM fluorometric methods were used to observe physiological responses in Cyanothece sp. photosystems I and II. Results show that photosystem I activity was maintained under all environmental conditions tested, while photosystem II activity was not observed at all. Out of the environmental factors tested (temperature, salinity, and nitrogen presence), only temperature significantly influenced photosystem I activity. In particular, high temperature (40 °C) facilitated faster electron transport rates, while effects of salinity and nitrogen were variable. Cyanothece sp. has shown to sustain bloom status for long periods largely because of the essential role of photosystem I activity during highly dynamic and even extreme (e.g., salinities higher than 200) environmental conditions. This ensures the continual supply of cellular energy (e.g. ATP) to important processes such as nitrogen assimilation, which is essential for protein synthesis, cell growth and, therefore, bloom maintenance.
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