scholarly journals Dissolution Tests and Microbial Community Analysis Using the Bottom Sediment before and after a Heavy Storm

2016 ◽  
Vol 14 (2) ◽  
pp. 67-75 ◽  
Author(s):  
Ikuo Tsushima ◽  
Yoshiyuki Shibayama ◽  
Koya Komori ◽  
Seiichiro Okamoto
Keyword(s):  
Microbial Community ◽  
Bottom Sediment ◽  
Community Analysis ◽  
Microbial Community Analysis ◽  
Dissolution Tests ◽  
Before And After ◽  
Heavy Storm

scholarly journals Bacterial community analysis in the rice straw sample before and after composting by PCR-DGGE and cloning method

2020 ◽  
Vol 18 (1) ◽  
pp. 177-186
Author(s):  
Ngo Duc Duy ◽  
Nguyen Hoang Dung ◽  
Hoang Quoc Khanh
Keyword(s):  
Microbial Community ◽  
Rice Straw ◽  
Community Analysis ◽  
Microbial Community Analysis ◽  
Bacillus Species ◽  
Study Results ◽  
Cloning Method ◽  
Before And After ◽  
Polymerase Chain ◽  
Bacterial Groups

Applicability of PCR-DGGE (Polymerase Chain Reaction-Denaturing Gel Gradient Eletrophoresis) technique to analyze microbial community is based on the V3 gene fragments in the rice straw sample (R) and after composting rice straw samples (Rn). Besides clonning method combined with analyzing Rn samples and comparing the results of microbial community analysis with PCR-DGGE method had the same reuslts is the main goal in this study. Results obtained from PCR-DGGE technique of R sample had 5 the V3 gene fragments (R1, R2, R3, R4 and R5) and Rn had 4 the V3 genes fragments (Rn1, Rn2, Rn3 and Rn4). Comparison of bacterial groups in R and Rn samples showed that bacteria in R samples including Agrobacterium, Clostridium, Bacteroidetes, Thermopolysporasa and Bacillus species, but in the Rn sample after incubation, the remaining bacterial results of 2 main species are Agrobacterium and Clostridium. Using Clonning method of Rn sample also gave 4 positions and gene fragment sizes corresponding to the positions of Rn1, Rn2, Rn3 and Rn4 from representatives of about 30 samples collected from the Clonning products. Based on the comparison of the similarity among the sequence of V3 gene fragments in PCR-DGGE and Clonning with reference to the data base in NCBI gene bank the results that Rn1 and Rn4 genes are similar to Agrobacterium species, about 96%, Rn2 and Rn3 are similar to Clostridium about 99%. In summary the results of microbial community analysis in the R sample show that the diversity of bacteria in the R sample is larger than in the Rn sample. Summarize the results of microbial community analysis in the R sample show the diversity of bacteria but less stable than the Rn sample. In addition, cloning and PCR-DGGE produced similar results on the sample Rn.

Bioleaching of Cadmium from Contaminated Paddy Fields by Consortium of Autotrophic and Indigenous Cadmium-Tolerant Bacteria

2017 ◽  
Vol 262 ◽  
pp. 617-621 ◽  
Author(s):  
Yan Deng ◽  
Xue Duan Liu ◽  
Hong Wei Liu ◽  
Hui Dan Jiang ◽  
Liang Feng Xu ◽  
...  
Keyword(s):  
Microbial Community ◽  
Contaminated Soils ◽  
Community Analysis ◽  
Paddy Soils ◽  
Microbial Community Analysis ◽  
Resistant Bacteria ◽  
Leaching Rate ◽  
Organic Fraction ◽  
Before And After ◽  
Microbial Leaching

It has been a major issue for urgent solution in China as a result of a series of poisoning cases caused by cadmium. Yet there is no effective methods for removal of cadmium from the paddy soils. Microbial leaching process as an effective approach is currently applied to remediate the contaminated soils. In this study, bioleaching of cadmium from contaminated paddy soils by consortium of autotrophic and indigenous cadmium-tolerant bacteria was applied. The bioleaching results showed that the leaching rate of cadmium was from 74.93% to 92.76%. The distribution of the Cd fractions had a significant change before and after bioleaching with the organic fraction and residues fraction mainly remained. Moreover, the microbial community analysis showed that the Acidithiobacillus and Acidiphilium became the dominant genus in the bioleaching process. The combination of bioleaching with acidophilic chemolithotrophic microorganisms and the cadmium-resistant bacteria provides a potential process for bioremediation of metal-contaminated soils.

scholarly journals Performance and Microbial Community Analysis of an Electrobiofilm Reactor Enhanced by Ferrous-EDTA

ACS Omega ◽  
2021 ◽  
Author(s):  
Nan Liu ◽  
Ying-ying Li ◽  
Du-juan Ouyang ◽  
Chang-yong Zou ◽  
Wei Li ◽  
...  
Keyword(s):  
Microbial Community ◽  
Community Analysis ◽  
Microbial Community Analysis

scholarly journals Impact of Substratum Surface on Microbial Community Structure and Treatment Performance in Biological Aerated Filters

2013 ◽  
Vol 80 (1) ◽  
pp. 177-183 ◽  
Author(s):  
Lavane Kim ◽  
Eulyn Pagaling ◽  
Yi Y. Zuo ◽  
Tao Yan
Keyword(s):  
Microbial Community ◽  
Microbial Communities ◽  
Bacterial Species ◽  
Community Analysis ◽  
Microbial Community Analysis ◽  
Rrna Gene ◽  
Content Type ◽  
Property Change ◽  
And Control ◽  
Start Ups

ABSTRACTThe impact of substratum surface property change on biofilm community structure was investigated using laboratory biological aerated filter (BAF) reactors and molecular microbial community analysis. Two substratum surfaces that differed in surface properties were created via surface coating and used to develop biofilms in test (modified surface) and control (original surface) BAF reactors. Microbial community analysis by 16S rRNA gene-based PCR-denaturing gradient gel electrophoresis (DGGE) showed that the surface property change consistently resulted in distinct profiles of microbial populations during replicate reactor start-ups. Pyrosequencing of the bar-coded 16S rRNA gene amplicons surveyed more than 90% of the microbial diversity in the microbial communities and identified 72 unique bacterial species within 19 bacterial orders. Among the 19 orders of bacteria detected,BurkholderialesandRhodocyclalesof theBetaproteobacteriaclass were numerically dominant and accounted for 90.5 to 97.4% of the sequence reads, and their relative abundances in the test and control BAF reactors were different in consistent patterns during the two reactor start-ups. Three of the five dominant bacterial species also showed consistent relative abundance changes between the test and control BAF reactors. The different biofilm microbial communities led to different treatment efficiencies, with consistently higher total organic carbon (TOC) removal in the test reactor than in the control reactor. Further understanding of how surface properties affect biofilm microbial communities and functional performance would enable the rational design of new generations of substrata for the improvement of biofilm-based biological treatment processes.

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