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In the present study the bacterial community structure in a sequencing batch reactor (SBR) operating in autotrophic conditions was determined in relation to temporal variations of NH₄-N, NO₂-N, NO₃-N levels in the effluent. Bacterial richness and composition were determined by PCR-DGGE (Polymerase Chain Reaction - Denaturing Gradient Gel Electrophoresis) of 16S rRNA and amoA genes, and RISA (Ribosomal Intergenic Spacer Analysis) technique. The applied approaches revealed that the composition of bacterial population in the studied SBR varied in time. A positive correlation between Shannon index of ammonia-oxidizing bacteria (AOB) diversity and ammonia level in the effluent was observed. The variation of total bacterial diversity did not reflect the changes in nitrification efficiency.
Wastewater treatment based on activated sludge is known to be one of the most effective and popular wastewater purification methods. An estimation of microbial community variability in activated sludge allows us to observe the correlation between a particular bacterial group's appearance and the effectiveness of the removal of chemical substances. This research is focused on microbial community temporal changes in membrane bioreactors treating wastes containing a high level of ammonia nitrogen. Samples for this study were collected from two membrane bioreactors with an activated sludge age of 12 and 32 days, respectively. The activated sludge microbial community was adapted for the removal of ammonia nitrogen up to a level of 0.3 g NH₄⁺-N g/VSS/d (VSS - volatile suspended solids). The methods - denaturing gradient gel electrophoresis (DGGE) based on 16S rRNA gene PCR products and fluorescent in situ hybridization (FISH) with 16S rRNA gene probes - revealed significant differences in the microbial community structure in the two bioreactors, caused mainly by a difference in sludge age. According to the results obtained in this study, a bioreactor with a sludge age of 12 days is characterized by a much higher microbial community diversity than a bioreactor with a sludge age of 32 days. Interestingly, the appearance of particular species of nitrifying bacteria was constant throughout the experiment in both bioreactors. Changes occured only in the case of the Nitrosomonas oligotropha lineage bacteria. This study demonstrates that the bacterial community of bioreactors operating with different sludge ages differs in total community structure. Nevertheless, the changeability of the bacterial community structure did not have any influence on the efficiency of nitrification.
Each plant species is regarded to substantially influence and thus, select for specific rhizosphere microbial populations. This is considered in the exploitation of soil microbial diversity associated with important crops, which has been of interest in modern agricultural practices for sustainable productivity. This study used PCR-DGGE (polymerase chain reaction - denaturing gradient gel electrophoresis) in order to obtain an initial assessment of the bacterial and fungal communities associated in bulk soil and rhizospheres of different mungbean genotypes under natural field conditions. Integrated use of multivariate analysis and diversity index showed plant growth stage as the primary driver of community shifts in both microbial groups while rhizosphere effect was found to be less discrete in fungal communities. On the other hand, genotype effect was not discerned but not inferred to be absent due to possible lack of manifestations of differences among genotypes based on tolerance to drought under non-stressed environment, and due to detection limits of DGGE. Sequence analysis of prominent members further revealed that Bacillus and Arthrobacter species were dominant in bacterial communities whereas members of Ascomycota and Basidiomycota were common in fungal communities of mungbean. Overall, fungal communities had higher estimated diversity and composition heterogeneity, and were more dynamic under plant growth influence, rhizosphere effect and natural environmental conditions during mungbean growth in upland field. These primary evaluations are prerequisite to understanding the interactions between plant and rhizosphere microorganisms with the intention of employing their potential use for sustainable crop production.
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