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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2021.9
- 수록면
- 146 - 153 (8page)
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초록· 키워드
오류제보하기
Accurate identification of microbes facilitates the prediction, prevention, and treatment of human diseases. To increase the accuracy of microbiome data analysis, a long region of the 16S rRNA is commonly sequenced via paired-end sequencing. In paired-end sequencing, a sufficient length of overlapping region is required for effective joining of the reads, and high-quality sequencing reads are needed at the overlapping region. Trimming sequences at the reads distal to a point where sequencing quality drops below a specific threshold enhance the joining process. In this study, we examined the effect of trimming conditions on the number of reads that remained after quality control and chimera removal in the Illumina paired-end reads of the V3?V4 hypervariable region. We also examined the alpha diversity and taxa assigned by each trimming condition. Optimum quality trimming increased the number of good reads and assigned more number of operational taxonomy units. The pre-analysis trimming step has a great influence on further microbiome analysis, and optimized trimming conditions should be applied for Divisive Amplicon Denoising Algorithm 2 analysis in QIIME2 platform.
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등록된 정보가 없습니다.
참고문헌 (26)
참고문헌 신청
Greenhalgh K / 2016 / The human gut microbiome in health : establishment and resilience of microbiota over a lifetime / Environ Microbiol 18:2103~2116
Panek M / 2018 / Methodology challenges in studying human gut microbiota - effects of collection, storage, DNA extraction and next generation sequencing technologies / Sci Rep 8:5143
NIH HMP Working Group / 2009 / The NIH Human Microbiome Project / Genome Res 19:2317~2323
Chakravorty S / 2007 / A detailed analysis of 16S ribosomal RNA gene segments for the diagnosis of pathogenic bacteria / J Microbiol Methods 69:330~339
Clarridge JE 3rd / 2004 / Impact of 16S rRNA gene sequence analysis for identification of bacteria on clinical microbiology and infectious diseases / Clin Microbiol Rev 17:840~862
Panek M / 2018 / Methodology challenges in studying human gut microbiota - effects of collection, storage, DNA extraction and next generation sequencing technologies / Sci Rep 8:5143
NIH HMP Working Group / 2009 / The NIH Human Microbiome Project / Genome Res 19:2317~2323
Chakravorty S / 2007 / A detailed analysis of 16S ribosomal RNA gene segments for the diagnosis of pathogenic bacteria / J Microbiol Methods 69:330~339
Clarridge JE 3rd / 2004 / Impact of 16S rRNA gene sequence analysis for identification of bacteria on clinical microbiology and infectious diseases / Clin Microbiol Rev 17:840~862
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