Literature DB >> 29115413

Evaluation of the accuracy and sensitivity of high‑throughput sequencing technology using known microbiota.

Fanjing Meng1, Tingtao Chen1, Xin Wang1, Xiaolei Wang1, Hua Wei2, Puyuan Tian2, Huan Wang1, Xiaoxiao Zhao1, Liang Shen3, Hongbo Xin1.   

Abstract

Next generation sequencing provides an excellent platform to explore microbiota in any given environment, and little work is required to evaluate the accuracy and sensitivity of high‑throughput sequencing technology. In the present study, a known microbiota containing Escherichia coli, Lactobacillus plantarum, Streptococcus thermophilus, Bifidobacterium bifidum, Bacillus subtilis, Enterococcus faecalis and Salmonella typhimurium was used to evaluate the high‑throughput sequencing technology. The results suggested that there were 122.7 operational taxonomic units (OTUs) in all groups, which is 17.5‑fold (the whole OTU number/the actual bacterial number) greater compared with the actual microbial number in each group, and the Venn method indicated that only 46.38% (64/138), 58.70% (81/138), 86.13% (118/137), 83.57% (117/140) and 89.29% (125/140) of the common OTUs were identified in groups A, B, C, D and E, of which the majority of OTUs did not belong to known bacteria. In addition, the DNA extraction and amplification efficiency failed to identify bacteria at the phylum, class, order, family, genus and species levels, which may further increase false information of microbial analysis. In conclusion, the present study provided basic datato investigate the potential drawbacks of high‑throughput sequencing technology, which will help researchers to avoid exaggerating the bacterial number when this technology is applied to study microbiota in particular environments.

Entities:  

Mesh:

Year:  2017        PMID: 29115413     DOI: 10.3892/mmr.2017.7849

Source DB:  PubMed          Journal:  Mol Med Rep        ISSN: 1791-2997            Impact factor:   2.952


  7 in total

1.  Evaluation of the potential of chicoric acid as a natural food antioxidant.

Authors:  Xueliang Zhu; Fenghong Huang; Xia Xiang; Min Fan; Tingtao Chen
Journal:  Exp Ther Med       Date:  2018-08-13       Impact factor: 2.447

2.  A randomised trial of probiotics to reduce severity of physiological and microbial disorders induced by partial gastrectomy for patients with gastric cancer.

Authors:  Cihua Zheng; Tingtao Chen; Yuqing Wang; Yuan Gao; Yao Kong; Zhaoxia Liu; Xiaorong Deng
Journal:  J Cancer       Date:  2019-01-01       Impact factor: 4.207

3.  Temporal Stability of the Ruminal Bacterial Communities in Beef Steers.

Authors:  Brooke A Clemmons; Cameron Martino; Liesel G Schneider; Josh Lefler; Mallory M Embree; Phillip R Myer
Journal:  Sci Rep       Date:  2019-07-02       Impact factor: 4.379

4.  Evaluation of the inhibitory effects of vaginal microorganisms on sperm motility in vitro.

Authors:  Huan Wang; Tingtao Chen; Yidan Chen; Tao Luo; Buzhen Tan; Houyang Chen; Hongbo Xin
Journal:  Exp Ther Med       Date:  2019-11-22       Impact factor: 2.447

5.  Engineered Bacteria of MG1363-pMG36e-GLP-1 Attenuated Obesity-Induced by High Fat Diet in Mice.

Authors:  Lingfang Wang; Tingtao Chen; Huan Wang; Xiaoli Wu; Qing Cao; Ke Wen; Ke-Yu Deng; Hongbo Xin
Journal:  Front Cell Infect Microbiol       Date:  2021-02-25       Impact factor: 5.293

6.  Microbiomes of air dust collected during the ground-based closed bioregenerative life support experiment "Lunar Palace 365".

Authors:  Jianlou Yang; Yuming Fu; Hong Liu
Journal:  Environ Microbiome       Date:  2022-01-26

7.  Evaluation of the Human Interference on the Microbial Diversity of Poyang Lake Using High-Throughput Sequencing Analyses.

Authors:  Haiming Qin; Lanyue Cui; Xinyi Cao; Qian Lv; Tingtao Chen
Journal:  Int J Environ Res Public Health       Date:  2019-10-30       Impact factor: 3.390

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.