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Quantifying dominant bacterial genera detected in metagenomic data from fish eggs and larvae using genus‐specific primers
The goal of this study was to design genus‐specific primers for rapid evaluation of the most abundant bacterial genera identified using amplicon‐based sequencing of the 16S rRNA gene in fish‐related samples and surrounding water. Efficient genus‐specific primers were designed for 11 bacterial genera...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9055463/ https://www.ncbi.nlm.nih.gov/pubmed/35765179 http://dx.doi.org/10.1002/mbo3.1274 |
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author | Najafpour, Babak Pinto, Patricia I. S. Canario, A. V. M. Power, Deborah M. |
author_facet | Najafpour, Babak Pinto, Patricia I. S. Canario, A. V. M. Power, Deborah M. |
author_sort | Najafpour, Babak |
collection | PubMed |
description | The goal of this study was to design genus‐specific primers for rapid evaluation of the most abundant bacterial genera identified using amplicon‐based sequencing of the 16S rRNA gene in fish‐related samples and surrounding water. Efficient genus‐specific primers were designed for 11 bacterial genera including Alkalimarinus, Colwellia, Enterovibrio, Marinomonas, Massilia, Oleispira, Phaeobacter, Photobacterium, Polarbacerium, Pseudomonas, and Psychrobium. The specificity of the primers was confirmed by the phylogeny of the sequenced polymerase chain reaction (PCR) amplicons that indicated primers were genus‐specific except in the case of Colwellia and Phaeobacter. Copy number of the 16S rRNA gene obtained by quantitative PCR using genus‐specific primers and the relative abundance obtained by 16S rRNA gene sequencing using universal primers were well correlated for the five analyzed abundant bacterial genera. Low correlations between quantitative PCR and 16S rRNA gene sequencing for Pseudomonas were explained by the higher coverage of known Pseudomonas species by the designed genus‐specific primers than the universal primers used in 16S rRNA gene sequencing. The designed genus‐specific primers are proposed as rapid and cost‐effective tools to evaluate the most abundant bacterial genera in fish‐related or potentially other metagenomics samples. |
format | Online Article Text |
id | pubmed-9055463 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90554632022-05-03 Quantifying dominant bacterial genera detected in metagenomic data from fish eggs and larvae using genus‐specific primers Najafpour, Babak Pinto, Patricia I. S. Canario, A. V. M. Power, Deborah M. Microbiologyopen Original Articles The goal of this study was to design genus‐specific primers for rapid evaluation of the most abundant bacterial genera identified using amplicon‐based sequencing of the 16S rRNA gene in fish‐related samples and surrounding water. Efficient genus‐specific primers were designed for 11 bacterial genera including Alkalimarinus, Colwellia, Enterovibrio, Marinomonas, Massilia, Oleispira, Phaeobacter, Photobacterium, Polarbacerium, Pseudomonas, and Psychrobium. The specificity of the primers was confirmed by the phylogeny of the sequenced polymerase chain reaction (PCR) amplicons that indicated primers were genus‐specific except in the case of Colwellia and Phaeobacter. Copy number of the 16S rRNA gene obtained by quantitative PCR using genus‐specific primers and the relative abundance obtained by 16S rRNA gene sequencing using universal primers were well correlated for the five analyzed abundant bacterial genera. Low correlations between quantitative PCR and 16S rRNA gene sequencing for Pseudomonas were explained by the higher coverage of known Pseudomonas species by the designed genus‐specific primers than the universal primers used in 16S rRNA gene sequencing. The designed genus‐specific primers are proposed as rapid and cost‐effective tools to evaluate the most abundant bacterial genera in fish‐related or potentially other metagenomics samples. John Wiley and Sons Inc. 2022-04-30 /pmc/articles/PMC9055463/ /pubmed/35765179 http://dx.doi.org/10.1002/mbo3.1274 Text en © 2022 The Authors. MicrobiologyOpen published by 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 | Original Articles Najafpour, Babak Pinto, Patricia I. S. Canario, A. V. M. Power, Deborah M. Quantifying dominant bacterial genera detected in metagenomic data from fish eggs and larvae using genus‐specific primers |
title | Quantifying dominant bacterial genera detected in metagenomic data from fish eggs and larvae using genus‐specific primers |
title_full | Quantifying dominant bacterial genera detected in metagenomic data from fish eggs and larvae using genus‐specific primers |
title_fullStr | Quantifying dominant bacterial genera detected in metagenomic data from fish eggs and larvae using genus‐specific primers |
title_full_unstemmed | Quantifying dominant bacterial genera detected in metagenomic data from fish eggs and larvae using genus‐specific primers |
title_short | Quantifying dominant bacterial genera detected in metagenomic data from fish eggs and larvae using genus‐specific primers |
title_sort | quantifying dominant bacterial genera detected in metagenomic data from fish eggs and larvae using genus‐specific primers |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9055463/ https://www.ncbi.nlm.nih.gov/pubmed/35765179 http://dx.doi.org/10.1002/mbo3.1274 |
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