Bacterial Community Analysis of Mine Contaminated Soils in Hechi City

2020 ◽  
Vol 14 (4) ◽  
pp. 476-486
Author(s):  
Tingting Liu ◽  
Caoping Pang ◽  
Fengcai Ye ◽  
Dafei Gong ◽  
Jieling Luo ◽  
...  
Keyword(s):  
Microbial Community ◽  
Genetic Engineering ◽  
Bacterial Community ◽  
Contaminated Soils ◽  
High Throughput Sequencing ◽  
Community Analysis ◽  
Microbial Community Analysis ◽  
Mine Soils ◽  
Sequencing Technology ◽  
Autonomous Region

Four mine contaminated soils located in northwest of Guangxi autonomous region were selected for microbial community analysis. These mine soils were contaminated by chromium (Cr) and cadmium (Cd). Microbial communities were described by high-throughput sequencing technology, which showed 39 different phyla in four samples. Among these phyla, Proteobacteria was the most abundant phylum in all samples. Acidobacteria, Actinobacteria, Planctomycetes, Firmicutes, Gemmatimonadetes, Bacteroidetes and Chloroflexi showed higher relative abundances than other phyla. In addition, a wide diversity of bacteria with the potential of bioremediation, such as Sphingomonas, Lysobacter and Gemmatimonas were detected in the tested mine contaminated soils. The results of microbial community analysis will provide a new target for isolation of microorganisms with the potential of bioremediation and lay the foundation for a great enhancement of bioremediation ability through the genetic engineering modification of indigenous microorganisms in future.

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.

Microbial analyses of blood spot surfaces collected from a laboratory and the bathroom of a female single-person household under different environmental conditions

2021 ◽  
Vol 368 (5) ◽  
Author(s):  
Hee Sang You ◽  
Song Hee Lee ◽  
Young Ju Lee ◽  
Ho Joong Sung ◽  
Hee-Gyoo Kang ◽  
...  
Keyword(s):  
Microbial Community ◽  
Bacterial Community ◽  
Microbial Communities ◽  
Community Analysis ◽  
Personal Identification ◽  
Microbial Interactions ◽  
Microbial Community Analysis ◽  
Single Person ◽  
Blood Spot ◽  
Over Time

Abstract Many people spend most of their time indoors, thereby exposing themselves to indoor environmental microbial communities that might interact with the human microbiota. These potential interactions have only been considered for personal identification; however, accumulating evidence indicates that these microbial interactions are potentially implicated with the identification of human interactions and location-specific factors including time and seasonal variations in the microbial community. To augment the potential of metagenomics-based forensic tools, we compared the composition of microbial communities in blood spot surfaces from healthy adults placed in different environments, such as in the bathroom of a female single-person household and on a laboratory, which were sampled across seasons and time points. The laboratory samples showed more changes in the bacterial community over time owing to the higher number of individuals using the laboratory, whereas the microbial communities in the bathroom samples remained relatively stable over time. Moreover, the two locations could be distinguished according to their specific bacterial community compositions. Variations were also observed related to changes in temperature and humidity, allowing for prediction of season-based microbial community. These findings offer a new perspective regarding the use of microbial community analysis in forensic science.

scholarly journals Microbial Community Analysis of Field-Grown Soybeans with Different Nodulation Phenotypes

2008 ◽  
Vol 74 (18) ◽  
pp. 5704-5709 ◽  
Author(s):  
Seishi Ikeda ◽  
Lynn Esther E. Rallos ◽  
Takashi Okubo ◽  
Shima Eda ◽  
Shoko Inaba ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Community Structure ◽  
Microbial Community ◽  
Bacterial Community ◽  
Bacterial Community Structure ◽  
Phylogenetic Analyses ◽  
Principal Component ◽  
Community Analysis ◽  
Component Analysis ◽  
Microbial Community Analysis

ABSTRACT Microorganisms associated with the stems and roots of nonnodulated (Nod−), wild-type nodulated (Nod+), and hypernodulated (Nod++) soybeans [Glycine max (L.) Merril] were analyzed by ribosomal intergenic transcribed spacer analysis (RISA) and automated RISA (ARISA). RISA of stem samples detected no bands specific to the nodulation phenotype, whereas RISA of root samples revealed differential bands for the nodulation phenotypes. Pseudomonas fluorescens was exclusively associated with Nod+ soybean roots. Fusarium solani was stably associated with nodulated (Nod+ and Nod++) roots and less abundant in Nod− soybeans, whereas the abundance of basidiomycetes was just the opposite. The phylogenetic analyses suggested that these basidiomycetous fungi might represent a root-associated group in the Auriculariales. Principal-component analysis of the ARISA results showed that there was no clear relationship between nodulation phenotype and bacterial community structure in the stem. In contrast, both the bacterial and fungal community structures in the roots were related to nodulation phenotype. The principal-component analysis further suggested that bacterial community structure in roots could be classified into three groups according to the nodulation phenotype (Nod−, Nod+, or Nod++). The analysis of root samples indicated that the microbial community in Nod− soybeans was more similar to that in Nod++ soybeans than to that in Nod+ soybeans.

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