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

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Cirurxía e Especialidades Médico-Cirúrxicas
dc.contributor.affiliationUniversidade de Santiago de Compostela. Centro de Investigación en Tecnoloxías Intelixentes da USC (CiTIUS)
dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Electrónica e Computación
dc.contributor.authorRegueira Iglesias, Alba
dc.contributor.authorVázquez González, Lara
dc.contributor.authorBalsa Castro, Carlos
dc.contributor.authorBlanco Pintos, Triana
dc.contributor.authorVila Blanco, Nicolás
dc.contributor.authorCarreira Nouche, María José
dc.contributor.authorTomás Carmona, Inmaculada
dc.date.accessioned2025-04-23T08:41:12Z
dc.date.available2025-04-23T08:41:12Z
dc.date.issued2023-02-13
dc.descriptionIMPORTANCE 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.
dc.description.abstractThis 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.
dc.description.peerreviewedSI
dc.description.sponsorshipThis study was funded by Instituto de Salud Carlos III (ISCIII) through project PI21/00588 and cofunded by the European Union, the Consellería de Cultura, Educación e Ordenación Universitaria de la Xunta de Galicia (accreditation 2019-2022 ED431G-2019/04, group with growth potential ED431B 2020-2022 GPC2020/27; A. Regueira-Iglesias support ED481A-2017/233), and the ERDF, which acknowledges the CiTIUS-Research Center in Intelligent Technologies of the Santiago de Compostela University as a Research Center of the Galician University System. The funders had no role in the study design, data collection, analysis, decision to publish, or preparation of the manuscript.
dc.identifier.citationRegueira-Iglesias A, Vázquez-González L, Balsa-Castro C, Blanco-Pintos T, Vila-Blanco N, Carreira MJ, Tomás I. 2023. Impact of 16S rRNA Gene Redundancy and Primer Pair Selection on the Quantification and Classification of Oral Microbiota in Next-Generation Sequencing. Microbiol Spectr 11:e04398-22. https://doi.org/10.1128/spectrum.04398-22
dc.identifier.doi10.1128/spectrum.04398-22
dc.identifier.urihttps://hdl.handle.net/10347/40982
dc.issue.number2
dc.journal.titleMicrobiology Spectrum
dc.language.isoeng
dc.publisherASM
dc.relation.publisherversionhttps://doi.org/10.1128/spectrum.04398-22
dc.rights© 2023 Regueira-Iglesias et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.
dc.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject16S rRNA gene
dc.subjectGene variant
dc.subjectMatching amplicon
dc.subjectOral microbiota
dc.subjectOverestimation factor
dc.subjectPrimer
dc.subjectRedundandy
dc.subjectSequence analysis
dc.titleImpact of 16S rRNA Gene Redundancy and Primer Pair Selection on the Quantification and Classification of Oral Microbiota in Next-Generation Sequencing
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number11
dspace.entity.typePublication
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