Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

被引:52
作者
Shahi, Shailesh [1 ]
Zarei, Kasra [2 ]
Guseva, Natalya, V [1 ]
Mangalam, Ashutosh [1 ,2 ,3 ,4 ]
机构
[1] Univ Iowa, Dept Pathol, Iowa City, IA 52242 USA
[2] Univ Iowa, Med Scientist Training Program, Iowa City, IA 52242 USA
[3] Univ Iowa, Grad Program Immunol, Iowa City, IA 52242 USA
[4] Univ Iowa, Grad Program Mol Med, Iowa City, IA 52242 USA
来源
JOVE-JOURNAL OF VISUALIZED EXPERIMENTS | 2019年 / 152期
关键词
Biology; Issue; 152; Fecal DNA extraction; library preparation; 16S variable region; 16S rRNA next generation sequencing; gut microbiota; GUT MICROBIOTA; INTESTINAL MICROBIOTA; BACTERIAL; CONTAMINATION; EXTRACTION; BARRIER;
D O I
10.3791/59980
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The human gut is colonized by trillions of bacteria that support physiologic functions such as food metabolism, energy harvesting, and regulation of the immune system. Perturbation of the healthy gut microbiome has been suggested to play a role in the development of inflammatory diseases, including multiple sclerosis (MS). Environmental and genetic factors can influence the composition of the microbiome; therefore, identification of microbial communities linked with a disease phenotype has become the first step towards defining the microbiome's role in health and disease. Use of 16S rRNA metagenomic sequencing for profiling bacterial community has helped in advancing microbiome research. Despite its wide use, there is no uniform protocol for 16S rRNA-based taxonomic profiling analysis. Another limitation is the low resolution of taxonomic assignment due to technical difficulties such as smaller sequencing reads, as well as use of only forward (R1) reads in the final analysis due to low quality of reverse (R2) reads. There is need for a simplified method with high resolution to characterize bacterial diversity in a given biospecimen. Advancements in sequencing technology with the ability to sequence longer reads at high resolution have helped to overcome some of these challenges. Present sequencing technology combined with a publicly available metagenomic analysis pipeline such as R-based Divisive Amplicon Denoising Algorithm-2 (DADA2) has helped advance microbial profiling at high resolution, as DADA2 can assign sequence at the genus and species levels. Described here is a guide for performing bacterial profiling using two-step amplification of the V3-V4 region of the 16S rRNA gene, followed by analysis using freely available analysis tools (i.e., DADA2, Phyloseq, and METAGENassist). It is believed that this simple and complete workflow will serve as an excellent tool for researchers interested in performing microbiome profiling studies.
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页数:12
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