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Benchmark of 16S rRNA gene amplicon sequencing using Japanese gut microbiome data from the V1–V2 and V3–V4 primer sets

BACKGROUND: 16S rRNA gene amplicon sequencing (16S analysis) is widely used to analyze microbiota with next-generation sequencing technologies. Here, we compared fecal 16S analysis data from 192 Japanese volunteers using the modified V1–V2 (V12) and the standard V3–V4 primer (V34) sets to optimize t...

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Autores principales: Kameoka, Shoichiro, Motooka, Daisuke, Watanabe, Satoshi, Kubo, Ryuichi, Jung, Nicolas, Midorikawa, Yuki, Shinozaki, Natsuko O., Sawai, Yu, Takeda, Aya K., Nakamura, Shota
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8272389/
https://www.ncbi.nlm.nih.gov/pubmed/34246242
http://dx.doi.org/10.1186/s12864-021-07746-4
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author Kameoka, Shoichiro
Motooka, Daisuke
Watanabe, Satoshi
Kubo, Ryuichi
Jung, Nicolas
Midorikawa, Yuki
Shinozaki, Natsuko O.
Sawai, Yu
Takeda, Aya K.
Nakamura, Shota
author_facet Kameoka, Shoichiro
Motooka, Daisuke
Watanabe, Satoshi
Kubo, Ryuichi
Jung, Nicolas
Midorikawa, Yuki
Shinozaki, Natsuko O.
Sawai, Yu
Takeda, Aya K.
Nakamura, Shota
author_sort Kameoka, Shoichiro
collection PubMed
description BACKGROUND: 16S rRNA gene amplicon sequencing (16S analysis) is widely used to analyze microbiota with next-generation sequencing technologies. Here, we compared fecal 16S analysis data from 192 Japanese volunteers using the modified V1–V2 (V12) and the standard V3–V4 primer (V34) sets to optimize the gut microbiota analysis protocol. RESULTS: QIIME1 and QIIME2 analysis revealed a higher number of unclassified representative sequences in the V34 data than in the V12 data. The comparison of bacterial composition demonstrated that at the phylum level, Actinobacteria and Verrucomicrobia were detected at higher levels with V34 than with V12. Among these phyla, we observed higher relative compositions of Bifidobacterium and Akkermansia with V34. To estimate the actual abundance, we performed quantitative real-time polymerase chain reaction (qPCR) assays for Akkermansia and Bifidobacterium. We found that the abundance of Akkermansia as detected by qPCR was close to that in V12 data, but was markedly lower than that in V34 data. The abundance of Bifidobacterium detected by qPCR was higher than that in V12 and V34 data. CONCLUSIONS: These results indicate that the bacterial composition derived from the V34 region might differ from the actual abundance for specific gut bacteria. We conclude that the use of the modified V12 primer set is more desirable in the 16S analysis of the Japanese gut microbiota. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07746-4.
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spelling pubmed-82723892021-07-12 Benchmark of 16S rRNA gene amplicon sequencing using Japanese gut microbiome data from the V1–V2 and V3–V4 primer sets Kameoka, Shoichiro Motooka, Daisuke Watanabe, Satoshi Kubo, Ryuichi Jung, Nicolas Midorikawa, Yuki Shinozaki, Natsuko O. Sawai, Yu Takeda, Aya K. Nakamura, Shota BMC Genomics Research BACKGROUND: 16S rRNA gene amplicon sequencing (16S analysis) is widely used to analyze microbiota with next-generation sequencing technologies. Here, we compared fecal 16S analysis data from 192 Japanese volunteers using the modified V1–V2 (V12) and the standard V3–V4 primer (V34) sets to optimize the gut microbiota analysis protocol. RESULTS: QIIME1 and QIIME2 analysis revealed a higher number of unclassified representative sequences in the V34 data than in the V12 data. The comparison of bacterial composition demonstrated that at the phylum level, Actinobacteria and Verrucomicrobia were detected at higher levels with V34 than with V12. Among these phyla, we observed higher relative compositions of Bifidobacterium and Akkermansia with V34. To estimate the actual abundance, we performed quantitative real-time polymerase chain reaction (qPCR) assays for Akkermansia and Bifidobacterium. We found that the abundance of Akkermansia as detected by qPCR was close to that in V12 data, but was markedly lower than that in V34 data. The abundance of Bifidobacterium detected by qPCR was higher than that in V12 and V34 data. CONCLUSIONS: These results indicate that the bacterial composition derived from the V34 region might differ from the actual abundance for specific gut bacteria. We conclude that the use of the modified V12 primer set is more desirable in the 16S analysis of the Japanese gut microbiota. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07746-4. BioMed Central 2021-07-10 /pmc/articles/PMC8272389/ /pubmed/34246242 http://dx.doi.org/10.1186/s12864-021-07746-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Kameoka, Shoichiro
Motooka, Daisuke
Watanabe, Satoshi
Kubo, Ryuichi
Jung, Nicolas
Midorikawa, Yuki
Shinozaki, Natsuko O.
Sawai, Yu
Takeda, Aya K.
Nakamura, Shota
Benchmark of 16S rRNA gene amplicon sequencing using Japanese gut microbiome data from the V1–V2 and V3–V4 primer sets
title Benchmark of 16S rRNA gene amplicon sequencing using Japanese gut microbiome data from the V1–V2 and V3–V4 primer sets
title_full Benchmark of 16S rRNA gene amplicon sequencing using Japanese gut microbiome data from the V1–V2 and V3–V4 primer sets
title_fullStr Benchmark of 16S rRNA gene amplicon sequencing using Japanese gut microbiome data from the V1–V2 and V3–V4 primer sets
title_full_unstemmed Benchmark of 16S rRNA gene amplicon sequencing using Japanese gut microbiome data from the V1–V2 and V3–V4 primer sets
title_short Benchmark of 16S rRNA gene amplicon sequencing using Japanese gut microbiome data from the V1–V2 and V3–V4 primer sets
title_sort benchmark of 16s rrna gene amplicon sequencing using japanese gut microbiome data from the v1–v2 and v3–v4 primer sets
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8272389/
https://www.ncbi.nlm.nih.gov/pubmed/34246242
http://dx.doi.org/10.1186/s12864-021-07746-4
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