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dc.contributor.authorregueira Iglesias, Alba*
dc.contributor.authorVázquez-González, L.*
dc.contributor.authorBalsa Castro, Carlos*
dc.contributor.authorVila Blanco, Nicolás*
dc.contributor.authorBlanco-Pintos, T.*
dc.contributor.authorTamames, J.*
dc.contributor.authorCarreira Nouche, María José*
dc.contributor.authorTomás Carmona, Inmaculada*
dc.date.accessioned2025-09-09T12:42:12Z
dc.date.available2025-09-09T12:42:12Z
dc.date.issued2023
dc.identifier.citationRegueira-Iglesias A, Vázquez-González L, Balsa-Castro C, Vila-Blanco N, Blanco-Pintos T, Tamames J, et al. In silico evaluation and selection of the best 16S rRNA gene primers for use in next-generation sequencing to detect oral bacteria and archaea. Microbiome. 2023;11(1).
dc.identifier.issn2049-2618
dc.identifier.otherhttps://portalcientifico.sergas.gal//documentos/642b3759a1c8a315fd233181
dc.identifier.urihttp://hdl.handle.net/20.500.11940/21621
dc.description.abstractBackground: 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. Results: 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. Conclusions: 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. [MediaObject not available: see fulltext.]
dc.description.sponsorshipThis study has been funded by Instituto de Salud Carlos III (ISCIII) through the project PI21/00588 and co-funded by the European Union; Conselleria de Cultura, Educacion e Ordenacion Universitaria (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 Universidade de Santiago de Compostela as a Research Center of the Galician University System. The funders had no role in study design, data collection, and analysis, decision to publish, or preparation of the manuscript.
dc.languageeng
dc.rightsAttribution 4.0 International (CC BY 4.0)*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.meshHumans *
dc.subject.meshArchaea *
dc.subject.meshRNA, Ribosomal, 16S *
dc.subject.meshGenes, rRNA *
dc.subject.meshDNA Primers *
dc.subject.meshBacteria *
dc.subject.meshMicrobiota *
dc.subject.meshHigh-Throughput Nucleotide Sequencing *
dc.subject.meshPhylogeny *
dc.titleIn silico evaluation and selection of the best 16S rRNA gene primers for use in next-generation sequencing to detect oral bacteria and archaea
dc.typeArtigo
dc.authorsophosRegueira-Iglesias, A.; Vázquez-González, L.; Balsa-Castro, C.; Vila-Blanco, N.; Blanco-Pintos, T.; Tamames, J.; Carreira, M.J.; Tomás, I.
dc.identifier.doi10.1186/s40168-023-01481-6
dc.identifier.sophos642b3759a1c8a315fd233181
dc.issue.number1
dc.journal.titleMicrobiome*
dc.organizationServizo Galego de Saúde::Áreas Sanitarias (A.S.) - Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS)
dc.organizationServizo Galego de Saúde::Áreas Sanitarias (A.S.) - Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS)
dc.organizationServizo Galego de Saúde::Áreas Sanitarias (A.S.) - Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS)
dc.organizationInstituto de Investigación Sanitaria de Santiago de Compostela (IDIS)
dc.relation.projectIDInstituto de Salud Carlos III (ISCIII) [PI21/00588]
dc.relation.projectIDEuropean Union
dc.relation.projectIDConselleria de Cultura, Educacion e Ordenacion Universitaria [ED481A-2017/233]
dc.relation.projectIDERDF
dc.relation.projectID[ED431B 2020-2022 GPC2020/27]
dc.relation.projectID[ED431G-2019/04]
dc.relation.publisherversionhttps://doi.org/10.1186/s40168-023-01481-6
dc.rights.accessRightsopenAccess*
dc.subject.keywordAS Santiago
dc.subject.keywordIDIS
dc.subject.keywordAS Santiago
dc.subject.keywordIDIS
dc.subject.keywordAS Santiago
dc.subject.keywordIDIS
dc.subject.keywordIDIS
dc.typefidesArtículo Científico (incluye Original, Original breve, Revisión Sistemática y Meta-análisis)
dc.typesophosArtículo Original
dc.volume.number11


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Attribution 4.0 International (CC BY 4.0)
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