Analysis of the effect of smoking on the buccal microbiome using next-generation sequencing technology
Analysis of the effect of smoking on the buccal microbiome using next-generation sequencing technology
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DOI：
10.1099/jmm.0.001003
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发表时间：
2019-08-01
影响因子：
3
通讯作者：
Durmaz, Riza
中科院分区：
文献类型：
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作者：
Karabudak, Sema;Ari, Oguz;Durmaz, Riza
目的.本研究旨在研究吸烟对口腔微生物组的影响，并分析其16 S rRNA基因中7个高变区的描述能力。使用16 S rRNA测序确定从吸烟者（n = 20）和非吸烟者（n = 20）收集的40个口腔拭子样品的微生物组组成。使用Ion Torrent 16 S Metagenomics试剂盒扩增每个样本中的7个不同的16 S rRNA高变区（V2、V3、V4、V6-7、V8和V9），并在Ion S5仪器上测序。对所有供试样本的16 S rRNA基因中的7个高变区进行了成功测序。发现用V2区获得的数据是信息性的，但是根据从所有七个高变区收集的许多操作分类单元读数产生的共有数据给出了最准确的结果。在门水平上，吸烟者和非吸烟者之间没有统计学显著差异，而在吸烟者组中，Veillonella vegetica，Streptococcus australis，Prevotella melaninogenica，Prevotella saliverase和Rothia mucilaginosa的相对丰度显着增加（P-adj=0.05）。Alpha多样性结果并未显示两组之间存在显着差异;但Beta多样性分析表明，吸烟者和非吸烟者组的样本有聚集在自己内部的趋势。结论。目前的研究结果表明，吸烟是影响口腔微生物组组成的一个因素。此外，所有七个高变区的测序比任何单个可变区的测序产生更准确的结果。
Purpose. This study aimed to investigate the effect of smoking on the buccal microbiome and to analyse the descriptive ability of each of the seven hypervariable regions in their 16S rRNA genes.Methodology. Microbiome compositions of 40 buccal swab samples collected from smokers (n = 20) and non-smokers (n = 20) were determined using 16S rRNA sequencing. Seven different 16S rRNA hypervariable regions (V2, V3, V4, V6-7, V8 and V9) in each sample were amplified using the Ion Torrent 16S Metagenomics kit and were sequenced on the Ion S5 instrument.Results. Seven hypervariable regions in the 16S rRNA gene were successfully sequenced for all samples tested. The data obtained with the V2 region was found to be informative but the consensus data generated according to a number of operational taxonomic unit reads gathered from all seven hypervariable regions gave the most accurate result. At the phylum level, no statistically significant difference was found between smokers and non-smokers whereas relative abundances of Veillonella atypica, Streptococcus australis, Prevotella melaninogenica, Prevotella salivae and Rothia mucilaginosa showed significant increases in the smoker group (P-adj=0.05). Alpha diversity results did not show a significant difference between the two groups; however, beta diversity analysis indicated that samples of smoker and non-smoker groups had a tendency to be clustered within themselves.Conclusion. The results of the current study indicate that smoking is a factor influencing buccal microbiome composition. In addition, sequencing of all seven hypervariable regions yielded more accurate results than those with any of the single variable regions.