中文版 | English
题名

Species-level resolution for the vaginal microbiota with short amplicons

作者
通讯作者Zhou, Hongwei; Chen, Muxuan
发表日期
2024-02-20
DOI
发表期刊
ISSN
2379-5077
卷号9期号:2
摘要
["Specific bacterial species have been found to play important roles in human vagina. Achieving high species-level resolution is vital for analyzing vaginal microbiota data. However, contradictory conclusions were yielded from different methodological studies. More comprehensive evaluation is needed for determining an optimal pipeline for vaginal microbiota. Based on the sequences of vaginal bacterial species downloaded from NCBI, we conducted simulated amplification with various primer sets targeting different 16S regions as well as taxonomic classification on the amplicons applying different combinations of algorithms (BLAST+, VSEARCH, and Sklearn) and reference databases (Greengenes2, SILVA, and RDP). Vaginal swabs were collected from participants with different vaginal microecology to construct 16S full-length sequenced mock communities. Both computational and experimental amplifications were performed on the mock samples. Classification accuracy of each pipeline was determined. Microbial profiles were compared between the full-length and partial 16S sequencing samples. The optimal pipeline was further validated in a multicenter cohort against the PCR results of common STI pathogens. Pipeline V1-V3_Sklearn_Combined had the highest accuracy for classifying the amplicons generated from both the NCBI downloaded data (84.20% +/- 2.39%) and the full-length sequencing data (95.65% +/- 3.04%). Vaginal samples amplified and sequenced targeting the V1-V3 region but merely employing the forward reads (223 bp) and classified using the optimal pipeline, resembled the mock communities the most. The pipeline demonstrated high F1-scores for detecting STI pathogens within the validation cohort. We have determined an optimal pipeline to achieve high species-level resolution for vaginal microbiota with short amplicons, which will facilitate future studies.IMPORTANCEFor vaginal microbiota studies, diverse 16S rRNA gene regions were applied for amplification and sequencing, which affect the comparability between different studies as well as the species-level resolution of taxonomic classification. We conducted comprehensive evaluation on the methods which influence the accuracy for the taxonomic classification and established an optimal pipeline to achieve high species-level resolution for vaginal microbiota with short amplicons, which will facilitate future studies.","For vaginal microbiota studies, diverse 16S rRNA gene regions were applied for amplification and sequencing, which affect the comparability between different studies as well as the species-level resolution of taxonomic classification. We conducted comprehensive evaluation on the methods which influence the accuracy for the taxonomic classification and established an optimal pipeline to achieve high species-level resolution for vaginal microbiota with short amplicons, which will facilitate future studies."]
关键词
相关链接[来源记录]
收录类别
语种
英语
学校署名
其他
WOS研究方向
Microbiology
WOS类目
Microbiology
WOS记录号
WOS:001148809400001
出版者
来源库
Web of Science
引用统计
被引频次[WOS]:1
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/789359
专题南方科技大学第一附属医院
作者单位
1.Southern Med Univ, Zhujiang Hosp, Microbiome Med Ctr, Div Lab Med, Guangzhou, Peoples R China
2.Huazhong Univ Sci & Technol, Cent Hosp Wuhan, Tongji Med Coll, Dept Med Lab, Wuhan, Hubei, Peoples R China
3.South Univ Sci & Technol, Jinan Univ, Shenzhen Peoples Hosp, Dept Med Lab,Clin Med Coll 2,Affiliated Hosp 1, Shenzhen, Guangdong, Peoples R China
推荐引用方式
GB/T 7714
Qing, Wei,Shi, Yiya,Chen, Rongdan,et al. Species-level resolution for the vaginal microbiota with short amplicons[J]. MSYSTEMS,2024,9(2).
APA
Qing, Wei.,Shi, Yiya.,Chen, Rongdan.,Zou, Yin'ai.,Qi, Cancan.,...&Chen, Muxuan.(2024).Species-level resolution for the vaginal microbiota with short amplicons.MSYSTEMS,9(2).
MLA
Qing, Wei,et al."Species-level resolution for the vaginal microbiota with short amplicons".MSYSTEMS 9.2(2024).
条目包含的文件
条目无相关文件。
个性服务
原文链接
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
导出为Excel格式
导出为Csv格式
Altmetrics Score
谷歌学术
谷歌学术中相似的文章
[Qing, Wei]的文章
[Shi, Yiya]的文章
[Chen, Rongdan]的文章
百度学术
百度学术中相似的文章
[Qing, Wei]的文章
[Shi, Yiya]的文章
[Chen, Rongdan]的文章
必应学术
必应学术中相似的文章
[Qing, Wei]的文章
[Shi, Yiya]的文章
[Chen, Rongdan]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
[发表评论/异议/意见]
暂无评论

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。