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      Highly accurate measurement of the relative abundance of oral pathogenic bacteria using colony-forming unit-based qPCR

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          Abstract

          Purpose

          Quantitative polymerase chain reaction (qPCR) has recently been employed to measure the number of bacterial cells by quantifying their DNA fragments. However, this method can yield inaccurate bacterial cell counts because the number of DNA fragments varies among different bacterial species. To resolve this issue, we developed a novel optimized qPCR method to quantify bacterial colony-forming units (CFUs), thereby ensuring a highly accurate count of bacterial cells.

          Methods

          To establish a new qPCR method for quantifying 6 oral bacteria namely, Porphyromonas gingivalis, Treponema denticola, Tannerella forsythia, Prevotella intermedia, Fusobacterium nucleatum, and Streptococcus mutans, the most appropriate primer-probe sets were selected based on sensitivity and specificity. To optimize the qPCR for predicting bacterial CFUs, standard curves were produced by plotting bacterial CFU against Ct values. To validate the accuracy of the predicted CFU values, a spiking study was conducted to calculate the recovery rates of the predicted CFUs to the true CFUs. To evaluate the reliability of the predicted CFU values, the consistency between the optimized qPCR method and shotgun metagenome sequencing (SMS) was assessed by comparing the relative abundance of the bacterial composition.

          Results

          For each bacterium, the selected primer-probe set amplified serial-diluted standard templates indicative of bacterial CFUs. The resultant Ct values and the corresponding bacterial CFU values were used to construct a standard curve, the linearity of which was determined by a coefficient of determination ( r 2) >0.99. The accuracy of the predicted CFU values was validated by recovery rates ranging from 95.1% to 106.8%. The reliability of the predicted CFUs was reflected by the consistency between the optimized qPCR and SMS, as demonstrated by a Spearman rank correlation coefficient ( ρ) value of 1 for all 6 bacteria.

          Conclusions

          The CFU-based qPCR quantification method provides highly accurate and reliable quantitation of oral pathogenic bacteria.

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          Most cited references40

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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            Fast gapped-read alignment with Bowtie 2.

            As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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              Integrating taxonomic, functional, and strain-level profiling of diverse microbial communities with bioBakery 3

              Culture-independent analyses of microbial communities have progressed dramatically in the last decade, particularly due to advances in methods for biological profiling via shotgun metagenomics. Opportunities for improvement continue to accelerate, with greater access to multi-omics, microbial reference genomes, and strain-level diversity. To leverage these, we present bioBakery 3, a set of integrated, improved methods for taxonomic, strain-level, functional, and phylogenetic profiling of metagenomes newly developed to build on the largest set of reference sequences now available. Compared to current alternatives, MetaPhlAn 3 increases the accuracy of taxonomic profiling, and HUMAnN 3 improves that of functional potential and activity. These methods detected novel disease-microbiome links in applications to CRC (1262 metagenomes) and IBD (1635 metagenomes and 817 metatranscriptomes). Strain-level profiling of an additional 4077 metagenomes with StrainPhlAn 3 and PanPhlAn 3 unraveled the phylogenetic and functional structure of the common gut microbe Ruminococcus bromii , previously described by only 15 isolate genomes. With open-source implementations and cloud-deployable reproducible workflows, the bioBakery 3 platform can help researchers deepen the resolution, scale, and accuracy of multi-omic profiling for microbial community studies.
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                Author and article information

                Journal
                J Periodontal Implant Sci
                J Periodontal Implant Sci
                JPIS
                Journal of Periodontal & Implant Science
                Korean Academy of Periodontology
                2093-2278
                2093-2286
                December 2024
                09 July 2024
                : 54
                : 6
                : 444-457
                Affiliations
                [1 ]R&D Center, DOCSMEDI OralBiome Co. Ltd., Goyang, Korea.
                [2 ]Apple Tree Institute of Biomedical Science, Apple Tree Medical Foundation, Goyang, Korea.
                [3 ]Apple Tree Dental Hospital, Apple Tree Medical Foundation, Goyang, Korea.
                Author notes
                Correspondence: Do-Young Park. R&D Center, DOCSMEDI OralBiome Co., Ltd., 143 Gangseong-ro, Ilsanseo-gu, Goyang 10387, Korea. pdy@ 123456docsmedi.kr , Tel: +82-31-922-2240, Fax: +82-31-365-4597
                Author information
                https://orcid.org/0009-0002-9321-2821
                https://orcid.org/0009-0008-5507-9381
                https://orcid.org/0009-0009-8926-008X
                https://orcid.org/0000-0002-4973-6823
                https://orcid.org/0000-0002-0299-8447
                https://orcid.org/0000-0003-1131-9992
                https://orcid.org/0000-0002-4170-4835
                Article
                10.5051/jpis.2304520226
                11729247
                39058349
                b5b98ca0-5410-42e7-a2bc-d055a55aaef9
                Copyright © 2024. Korean Academy of Periodontology

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( https://creativecommons.org/licenses/by-nc/4.0/).

                History
                : 05 December 2023
                : 09 April 2024
                : 08 May 2024
                Funding
                Funded by: Korea Disease Control and Prevention Agency, CrossRef https://doi.org/10.13039/100018688;
                Award ID: KBN4-A04-03
                Categories
                Research Article
                Periodontal Science

                Dentistry
                colony-forming unit,oral pathogenic bacteria,quantitative polymerase chain reaction,relative abundance

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