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A quantitative sequencing method using synthetic internal standards including functional and phylogenetic marker genes
The method of spiking synthetic internal standard genes (ISGs) to samples for amplicon sequencing, generating sequences and converting absolute gene numbers from read counts has been used only for phylogenetic markers and has not been applied to functional markers. In this study, we developed ISGs,...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10667660/ https://www.ncbi.nlm.nih.gov/pubmed/37465846 http://dx.doi.org/10.1111/1758-2229.13189 |
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author | Koike, Kazuyoshi Honda, Ryo Aoki, Masataka Yamamoto‐Ikemoto, Ryoko Syutsubo, Kazuaki Matsuura, Norihisa |
author_facet | Koike, Kazuyoshi Honda, Ryo Aoki, Masataka Yamamoto‐Ikemoto, Ryoko Syutsubo, Kazuaki Matsuura, Norihisa |
author_sort | Koike, Kazuyoshi |
collection | PubMed |
description | The method of spiking synthetic internal standard genes (ISGs) to samples for amplicon sequencing, generating sequences and converting absolute gene numbers from read counts has been used only for phylogenetic markers and has not been applied to functional markers. In this study, we developed ISGs, including gene sequences of the 16S rRNA, pmoA, encoding a subunit of particulate methane monooxygenase and amoA, encoding a subunit of ammonia monooxygenase. We added ISGs to the samples, amplified the target genes and performed amplicon sequencing. For the mock community, the copy numbers converted from read counts using ISGs were equivalent to those obtained by the quantitative real‐time polymerase chain reaction (4.0 × 10(4) versus 4.1 × 10(4) and 3.0 × 10(3) versus 4.0 × 10(3) copies μL‐DNA(−1) for 16S rRNA and pmoA genes, respectively), but we also identified underestimation, possibly due to primer coverage (7.8 × 10(2) versus 3.7 × 10(3) μL‐DNA(−1) for amoA gene). We then applied this method to environmental samples and analysed phylogeny, functional diversity and absolute quantities. One Methylocystis population was most abundant in the sludge samples [16S rRNA gene (3.8 × 10(9) copies g(−1)) and the pmoA gene (2.3 × 10(9) copies g(−1))] and were potentially interrelated. This study demonstrates that ISG spiking is useful for evaluating sequencing data processing and quantifying functional markers. |
format | Online Article Text |
id | pubmed-10667660 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106676602023-07-18 A quantitative sequencing method using synthetic internal standards including functional and phylogenetic marker genes Koike, Kazuyoshi Honda, Ryo Aoki, Masataka Yamamoto‐Ikemoto, Ryoko Syutsubo, Kazuaki Matsuura, Norihisa Environ Microbiol Rep Research Articles The method of spiking synthetic internal standard genes (ISGs) to samples for amplicon sequencing, generating sequences and converting absolute gene numbers from read counts has been used only for phylogenetic markers and has not been applied to functional markers. In this study, we developed ISGs, including gene sequences of the 16S rRNA, pmoA, encoding a subunit of particulate methane monooxygenase and amoA, encoding a subunit of ammonia monooxygenase. We added ISGs to the samples, amplified the target genes and performed amplicon sequencing. For the mock community, the copy numbers converted from read counts using ISGs were equivalent to those obtained by the quantitative real‐time polymerase chain reaction (4.0 × 10(4) versus 4.1 × 10(4) and 3.0 × 10(3) versus 4.0 × 10(3) copies μL‐DNA(−1) for 16S rRNA and pmoA genes, respectively), but we also identified underestimation, possibly due to primer coverage (7.8 × 10(2) versus 3.7 × 10(3) μL‐DNA(−1) for amoA gene). We then applied this method to environmental samples and analysed phylogeny, functional diversity and absolute quantities. One Methylocystis population was most abundant in the sludge samples [16S rRNA gene (3.8 × 10(9) copies g(−1)) and the pmoA gene (2.3 × 10(9) copies g(−1))] and were potentially interrelated. This study demonstrates that ISG spiking is useful for evaluating sequencing data processing and quantifying functional markers. John Wiley & Sons, Inc. 2023-07-18 /pmc/articles/PMC10667660/ /pubmed/37465846 http://dx.doi.org/10.1111/1758-2229.13189 Text en © 2023 The Authors. Environmental Microbiology Reports published by Applied Microbiology International and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Koike, Kazuyoshi Honda, Ryo Aoki, Masataka Yamamoto‐Ikemoto, Ryoko Syutsubo, Kazuaki Matsuura, Norihisa A quantitative sequencing method using synthetic internal standards including functional and phylogenetic marker genes |
title | A quantitative sequencing method using synthetic internal standards including functional and phylogenetic marker genes |
title_full | A quantitative sequencing method using synthetic internal standards including functional and phylogenetic marker genes |
title_fullStr | A quantitative sequencing method using synthetic internal standards including functional and phylogenetic marker genes |
title_full_unstemmed | A quantitative sequencing method using synthetic internal standards including functional and phylogenetic marker genes |
title_short | A quantitative sequencing method using synthetic internal standards including functional and phylogenetic marker genes |
title_sort | quantitative sequencing method using synthetic internal standards including functional and phylogenetic marker genes |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10667660/ https://www.ncbi.nlm.nih.gov/pubmed/37465846 http://dx.doi.org/10.1111/1758-2229.13189 |
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