Bioinformatics Tools for Microbial Diversity Analysis

2019 ◽  
pp. 23-47
Author(s):  
Raghavender Surya Upadhyayula ◽  
Pooran Singh Solanki ◽  
Prashanth Suravajhala ◽  
Krishna Mohan Medicherla
Keyword(s):  
Microbial Diversity ◽  
Diversity Analysis ◽  
Bioinformatics Tools

16s rDNA based microbial diversity analysis of eleven acid mine drainages obtained from three Chinese copper mines

2011 ◽  
Vol 18 (6) ◽  
pp. 1930-1939 ◽  
Author(s):  
Jian-ping Xie ◽  
Hong-chen Jiang ◽  
Xin-xing Liu ◽  
Xue-duan Liu ◽  
Ji-zhong Zhou ◽  
...  
Keyword(s):  
Microbial Diversity ◽  
16S Rdna ◽  
Diversity Analysis ◽  
Acid Mine ◽  
Copper Mines

scholarly journals Long-term cultivation-independent microbial diversity analysis demonstrates that bacterial communities infecting the adult cystic fibrosis lung show stability and resilience

Thorax ◽  
2012 ◽  
Vol 67 (10) ◽  
pp. 867-873 ◽  
Author(s):  
Franziska Anne Stressmann ◽  
Geraint B Rogers ◽  
Christopher J van der Gast ◽  
Peter Marsh ◽  
Louic S Vermeer ◽  
...  
Keyword(s):  
Cystic Fibrosis ◽  
Microbial Diversity ◽  
Bacterial Communities ◽  
Cystic Fibrosis Lung ◽  
Diversity Analysis ◽  
Stability And Resilience

The Microbial Diversity Analysis of Constructed Wetland Wastewater Treatment in Village

2013 ◽  
Vol 295-298 ◽  
pp. 1098-1103
Author(s):  
Xiao Xiao Wang ◽  
Luo Jun Gong ◽  
Wei Han ◽  
Qian Qian Yan
Keyword(s):  
Wastewater Treatment ◽  
Bacillus Subtilis ◽  
Microbial Diversity ◽  
Bacillus Licheniformis ◽  
Constructed Wetland ◽  
Proteus Mirabilis ◽  
Staphylococcus Epidermidis ◽  
Gene Sequence ◽  
Diversity Analysis ◽  
16Srrna Gene

This paper uses the method of 16SrRNA to analyze the microbial diversity in wetland wastewater treatment of Wuhan galaxy ecological agriculture Co., LTD . Using the method of 16SrRNA, we can get the molecular identification of the strain from screening , determine the 16SrRNA gene sequence and analyzes the homology of the corresponding sequence of related bacteria. The result shows that 32 strains are Bacillus subtilis, two strains are Bacillus licheniformis, six strains are Staptococcus cohnii, one strain is Staphylococcus epidermidis, one strain is Pseudomonas synxantha, and one strain is People umber bacillus in the first wetland. 36 strains are Bacillus subtilis, three strains are Bacillus licheniformis, one strains are Staptococcus cohnii, one strain is Proteus mirabilis, and two strain Staphylococcus epidermidis are the second wetland. The main strain in the two-stage wetland both are Bacillus subtilis.

scholarly journals Microbial diversity analysis of vineyards in the Xinjiang region using high-throughput sequencing

2018 ◽  
Vol 124 (3) ◽  
pp. 276-283 ◽  
Author(s):  
Wenrui Ma ◽  
Yun Wu ◽  
Yujie Wei ◽  
Wan Zou ◽  
Yinzhuo Yan ◽  
...  
Keyword(s):  
Microbial Diversity ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Diversity Analysis

scholarly journals Microbial Diversity Analysis of Fermented Mung Beans (Lu-Doh-Huang) by Using Pyrosequencing and Culture Methods

PLoS ONE ◽  
2013 ◽  
Vol 8 (5) ◽  
pp. e63816 ◽  
Author(s):  
Shiou-Huei Chao ◽  
Hui-Yu Huang ◽  
Chuan-Hsiung Chang ◽  
Chih-Hsien Yang ◽  
Wei-Shen Cheng ◽  
...  
Keyword(s):  
Microbial Diversity ◽  
Diversity Analysis ◽  
Culture Methods

scholarly journals Microbial diversity analysis of subclinical mastitis in dairy cattle in Northeast China

2015 ◽  
Vol 9 (10) ◽  
pp. 687-694 ◽  
Author(s):  
Jiang Qingyu ◽  
Yang Yufeng ◽  
Xin Kerui ◽  
Bian Xiudong ◽  
Li Mengchao ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
Microbial Diversity ◽  
Northeast China ◽  
Subclinical Mastitis ◽  
Diversity Analysis

Enrichment of nitrifying bacteria and microbial diversity analysis by high-throughput sequencing

RSC Advances ◽  
2016 ◽  
Vol 6 (115) ◽  
pp. 113959-113966 ◽  
Author(s):  
Renda Yao ◽  
Hong Yang ◽  
Mengyu Yu ◽  
Yi Liu ◽  
Huan Shi
Keyword(s):  
Microbial Diversity ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Operation Mode ◽  
Nitrifying Bacteria ◽  
Diversity Analysis

The nitrifying bacteria community can be enriched by an alternating operation mode.

Molecular Tools for Microbial Diversity Analysis

2021 ◽  
pp. 55-65
Author(s):  
Prashant Kumar ◽  
Archana Singh ◽  
Ashish Sachan ◽  
Shashwati Ghosh Sachan
Keyword(s):  
Microbial Diversity ◽  
Diversity Analysis ◽  
Molecular Tools

Computational Techniques Used for Microbial Diversity Analysis

2021 ◽  
pp. 21-35
Author(s):  
Dattatray S. Mongad ◽  
Nikeeta S. Chavan ◽  
Yogesh S. Shouche
Keyword(s):  
Microbial Diversity ◽  
Computational Techniques ◽  
Diversity Analysis
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