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16S rRNA基因冗余和引物对选择对下一代测序中口腔微生物群定量和分类的影响

Impact of 16S rRNA Gene Redundancy and Primer Pair Selection on the Quantification and Classification of Oral Microbiota in Next-Generation Sequencing.

作者信息

Regueira-Iglesias Alba, Vázquez-González Lara, Balsa-Castro Carlos, Blanco-Pintos Triana, Vila-Blanco Nicolás, Carreira Maria José, Tomás Inmaculada

机构信息

Oral Sciences Research Group, Special Needs Unit, Department of Surgery and Medical-Surgical Specialties, School of Medicine and Dentistry, Universidade de Santiago de Compostela, Health Research Institute Foundation of Santiago (FIDIS), Santiago de Compostela, Spain.

Centro Singular de Investigación en Tecnoloxías Intelixentes and Departamento de Electrónica e Computación, Universidade de Santiago de Compostela, Health Research Institute Foundation of Santiago (FIDIS), Santiago de Compostela, Spain.

出版信息

Microbiol Spectr. 2023 Feb 13;11(2):e0439822. doi: 10.1128/spectrum.04398-22.

Abstract

This study aimed to evaluate the number of 16S rRNA genes in the complete genomes of the bacterial and archaeal species inhabiting the human mouth and to assess how the use of different primer pairs would affect the detection and classification of redundant amplicons and matching amplicons (MAs) from different taxa. A total of 518 oral-bacterial and 191 oral-archaeal complete genomes were downloaded from the NCBI database, and their complete 16S rRNA genes were extracted. The numbers of genes and variants per genome were calculated. Next, 39 primer pairs were used to search for matches in the genomes and obtain amplicons. For each primer, we calculated the number of gene amplicons, variants, genomes, and species detected and the percentage of coverage at the species level with no MAs (SC-NMA). The results showed that 94.09% of oral bacteria and 52.59% of oral archaea had more than one intragenomic 16S rRNA gene. From 1.29% to 46.70% of bacterial species and from 4.65% to 38.89% of archaea detected by the primers had MAs. The best primers were the following (SC-NMA; region; position for Escherichia coli [GenBank version no. J01859.1]): KP_F048-OP_R030 for bacteria (93.55%; V3 to V7; 342 to 1079), KP_F018-KP_R063 for archaea (89.63%; V3 to V9; undefined to 1506), and OP_F114-OP_R121 for both domains (92.52%; V3 to V9; 340 to 1405). In addition to 16S rRNA gene redundancy, the presence of MAs must be controlled to ensure an accurate interpretation of microbial diversity data. The SC-NMA is a more useful parameter than the conventional coverage percentage for selecting the best primer pairs. The pairs used the most in the oral microbiome literature were not among the best performers. Hundreds of publications have studied the oral microbiome through 16S rRNA gene sequencing. However, none have assessed the number of 16S rRNA genes in the genomes of oral microbes, or how the use of primer pairs targeting different regions affects the detection of MAs from different taxa. Here, we found that almost all oral bacteria and more than half of oral archaea have more than one intragenomic 16S rRNA gene. The performance of the primer pairs in not detecting MAs increases as the length of the amplicon augments. As none of those most employed in the oral literature were among the best performers, we selected a series of primers to detect bacteria and/or archaea based on their percentage of species detected without MAs. The intragenomic 16S rRNA gene redundancy and the presence of MAs between distinct taxa need to be considered to ensure an accurate interpretation of microbial diversity data.

摘要

本研究旨在评估栖息于人类口腔中的细菌和古菌物种完整基因组中16S rRNA基因的数量,并评估使用不同引物对将如何影响来自不同分类群的冗余扩增子和匹配扩增子(MA)的检测与分类。从NCBI数据库下载了总共518个口腔细菌和191个口腔古菌的完整基因组,并提取了它们完整的16S rRNA基因。计算了每个基因组中基因和变体的数量。接下来,使用39对引物在基因组中搜索匹配项并获得扩增子。对于每个引物,我们计算了检测到的基因扩增子、变体、基因组和物种的数量,以及无MA情况下物种水平的覆盖百分比(SC-NMA)。结果表明,94.09%的口腔细菌和52.59%的口腔古菌具有不止一个基因组内的16S rRNA基因。引物检测到的细菌物种中有1.29%至46.70%以及古菌中有4.65%至38.89%存在MA。最佳引物如下(SC-NMA;区域;大肠杆菌[GenBank版本号J01859.1]的位置):用于细菌的KP_F048-OP_R030(93.55%;V3至V7;342至1079),用于古菌的KP_F018-KP_R063(89.63%;V3至V9;未定义至1506),以及用于两个域的OP_F114-OP_R121(92.52%;V3至V9;340至1405)。除了16S rRNA基因冗余外,还必须控制MA的存在,以确保对微生物多样性数据的准确解读。对于选择最佳引物对,SC-NMA是比传统覆盖百分比更有用的参数。口腔微生物组文献中使用最多的引物对并非表现最佳的。数百篇出版物通过16S rRNA基因测序研究了口腔微生物组。然而,没有一篇评估过口腔微生物基因组中16S rRNA基因的数量,或者靶向不同区域的引物对的使用如何影响来自不同分类群的MA的检测。在这里,我们发现几乎所有口腔细菌和超过一半的口腔古菌都有不止一个基因组内

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a818/10101033/5d5508723966/spectrum.04398-22-f001.jpg

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