Oral Sciences Research Group, Department of Surgery and Medical-Surgical Specialties, School of Medicine and Dentistry, Universidade de Santiago de Compostela, Health Research Institute Foundation of Santiago (FIDIS), C/ Entrerrios s/n, 15872, 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), Rúa de Jenaro de la Fuente, s/n, 15705, Santiago de Compostela, Spain.
Microbiome. 2023 Mar 23;11(1):58. doi: 10.1186/s40168-023-01481-6.
Sequencing has been widely used to study the composition of the oral microbiome present in various health conditions. The extent of the coverage of the 16S rRNA gene primers employed for this purpose has not, however, been evaluated in silico using oral-specific databases. This paper analyses these primers using two databases containing 16S rRNA sequences from bacteria and archaea found in the human mouth and describes some of the best primers for each domain.
A total of 369 distinct individual primers were identified from sequencing studies of the oral microbiome and other ecosystems. These were evaluated against a database reported in the literature of 16S rRNA sequences obtained from oral bacteria, which was modified by our group, and a self-created oral archaea database. Both databases contained the genomic variants detected for each included species. Primers were evaluated at the variant and species levels, and those with a species coverage (SC) ≥75.00% were selected for the pair analyses. All possible combinations of the forward and reverse primers were identified, with the resulting 4638 primer pairs also evaluated using the two databases. The best bacteria-specific pairs targeted the 3-4, 4-7, and 3-7 16S rRNA gene regions, with SC levels of 98.83-97.14%; meanwhile, the optimum archaea-specific primer pairs amplified regions 5-6, 3-6, and 3-6, with SC estimates of 95.88%. Finally, the best pairs for detecting both domains targeted regions 4-5, 3-5, and 5-9, and produced SC values of 95.71-94.54% and 99.48-96.91% for bacteria and archaea, respectively.
Given the three amplicon length categories (100-300, 301-600, and >600 base pairs), the primer pairs with the best coverage values for detecting oral bacteria were as follows: KP_F048-OP_R043 (region 3-4; primer pair position for Escherichia coli J01859.1: 342-529), KP_F051-OP_R030 (4-7; 514-1079), and KP_F048-OP_R030 (3-7; 342-1079). For detecting oral archaea, these were as follows: OP_F066-KP_R013 (5-6; 784-undefined), KP_F020-KP_R013 (3-6; 518-undefined), and OP_F114-KP_R013 (3-6; 340-undefined). Lastly, for detecting both domains jointly they were KP_F020-KP_R032 (4-5; 518-801), OP_F114-KP_R031 (3-5; 340-801), and OP_F066-OP_R121 (5-9; 784-1405). The primer pairs with the best coverage identified herein are not among those described most widely in the oral microbiome literature. Video Abstract.
测序已被广泛用于研究各种健康状况下存在的口腔微生物组的组成。然而,用于此目的的 16S rRNA 基因引物的覆盖范围尚未在含有口腔特异性数据库的计算机上进行评估。本文使用两个含有从人类口腔中分离出的细菌和古菌的 16S rRNA 序列的数据库来分析这些引物,并描述了每个域的一些最佳引物。
从口腔微生物组和其他生态系统的测序研究中总共鉴定出 369 个不同的个体引物。我们将这些引物与文献中报道的从口腔细菌中获得的 16S rRNA 序列的数据库进行了评估,该数据库由我们的小组进行了修改,并创建了一个自己的口腔古菌数据库。两个数据库都包含了检测到的每个包含物种的基因组变异体。引物在变异体和物种水平上进行了评估,选择物种覆盖率(SC)≥75.00%的引物进行配对分析。鉴定出所有正向和反向引物的可能组合,使用这两个数据库还评估了由此产生的 4638 个引物对。最佳的细菌特异性引物针对 3-4、4-7 和 3-7 16S rRNA 基因区域,SC 水平为 98.83-97.14%;同时,最佳的古菌特异性引物针对 5-6、3-6 和 3-6 区域,SC 估计值为 95.88%。最后,检测两个域的最佳引物对靶向区域 4-5、3-5 和 5-9,并且产生 95.71-94.54%和 99.48-96.91%的 SC 值,用于细菌和古菌。
给定三个扩增子长度类别(100-300、301-600 和>600 个碱基对),用于检测口腔细菌的最佳覆盖值的引物对如下:KP_F048-OP_R043(区域 3-4;引物对位置用于大肠杆菌 J01859.1:342-529),KP_F051-OP_R030(4-7;514-1079)和 KP_F048-OP_R030(3-7;342-1079)。用于检测口腔古菌的是 OP_F066-KP_R013(5-6;784-未定义),KP_F020-KP_R013(3-6;518-未定义)和 OP_F114-KP_R013(3-6;340-未定义)。最后,用于同时检测两个域的是 KP_F020-KP_R032(4-5;518-801),OP_F114-KP_R031(3-5;340-801)和 OP_F066-OP_R121(5-9;784-1405)。本文中鉴定出的最佳覆盖引物对不在口腔微生物组文献中最广泛描述的引物对之列。