雌性尿道细菌 16S rRNA 基因序列变异编目

Genevieve Baddoo, Adriana Ene, Zubia Merchant, Swarnali Banerjee, Alan J. Wolfe, C. Putonti
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引用次数: 0

摘要

对泌尿道细菌进行分离和测序的持续努力增加了这些物种在公开数据库中的代表性。这反过来又改进了泌尿微生物组(urobiome)的分类学分类。以 16S rRNA 基因序列的可变区域为目标的短程测序在确定有或无下尿路症状的男性和女性以及尿路癌症患者的尿微生物组特征方面发挥了重要作用。在此,我们汇编了一组全长或接近全长的尿生物群 16S rRNA 基因序列数据。为了生成这个数据集,我们首先将 203 株膀胱分离物培养在不同的培养基上,并对其全长 16S rRNA 基因序列进行测序。我们将这一数据集与主要来自女性泌尿道的公开基因组相结合。最终的数据集包括 399 个序列,代表了 73 个属的 160 个不同物种。我们评估了公开数据库根据 V1-V3、V4 和 V4-V6 可变区正确预测这些序列的能力。不出所料,根据这些可变区指定物种往往是不可能的或不正确的。我们还发现了错误的属级分类。该数据集可用于补充现有数据库,增加尿生物群的物种变异,从而改进未来的尿生物群特征研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cataloging variation in 16S rRNA gene sequences of female urobiome bacteria
Continued efforts to isolate and sequence bacteria of the urinary tract has increased representation of these species in publicly available databases. This in turn has improved taxonomic classifications of the urinary microbiome (urobiome). Short-read sequencing targeting a variable region(s) of the 16S rRNA gene sequence has been fundamental in characterizing the urobiomes of males and females with and without lower urinary tract symptoms, as well as cancers of the urinary tract. Here, we have compiled a data set of full-length or near-full-length 16S rRNA gene sequences for the urobiome. To generate this data set, we first plated 203 isolates from the bladder on differential media and sequenced their full-length 16S rRNA gene sequence. We combined this data set with publicly available genomes from primarily the female urinary tract. The final data set includes 399 sequences representative of 160 different species from 73 genera. We assessed the ability of publicly available databases to correctly predict these sequences based on the V1-V3, V4, and V4-V6 variable regions. As expected, species designations based upon these variable regions is often not possible or incorrect. We also detected incorrect genus-level classifications. This data set can be used to supplement existing databases, by increasing urobiome species variation, and thus improve future studies characterizing urobiomes.
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