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The use of different 16S rRNA gene variable regions in biogeographical studies

16S rRNA gene amplicon sequencing is routinely used in environmental surveys to identify microbial diversity and composition of the samples of interest. The dominant sequencing technology of the past decade (Illumina) is based on the sequencing of 16S rRNA hypervariable regions. Online sequence data...

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Autores principales: Varliero, Gilda, Lebre, Pedro H., Stevens, Mark I., Czechowski, Paul, Makhalanyane, Thulani, Cowan, Don A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10464692/
https://www.ncbi.nlm.nih.gov/pubmed/36810880
http://dx.doi.org/10.1111/1758-2229.13145
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author Varliero, Gilda
Lebre, Pedro H.
Stevens, Mark I.
Czechowski, Paul
Makhalanyane, Thulani
Cowan, Don A.
author_facet Varliero, Gilda
Lebre, Pedro H.
Stevens, Mark I.
Czechowski, Paul
Makhalanyane, Thulani
Cowan, Don A.
author_sort Varliero, Gilda
collection PubMed
description 16S rRNA gene amplicon sequencing is routinely used in environmental surveys to identify microbial diversity and composition of the samples of interest. The dominant sequencing technology of the past decade (Illumina) is based on the sequencing of 16S rRNA hypervariable regions. Online sequence data repositories, which represent an invaluable resource for investigating microbial distributional patterns across spatial, environmental or temporal scales, contain amplicon datasets from diverse 16S rRNA gene variable regions. However, the utility of these sequence datasets is potentially reduced by the use of different 16S rRNA gene amplified regions. By comparing 10 Antarctic soil samples sequenced for five different 16S rRNA amplicons, we explore whether sequence data derived from diverse 16S rRNA variable regions can be validly used as a resource for biogeographical studies. Patterns of shared and unique taxa differed among samples as a result of variable taxonomic resolutions of the assessed 16S rRNA variable regions. However, our analyses also suggest that the use of multi‐primer datasets for biogeographical studies of the domain Bacteria is a valid approach to explore bacterial biogeographical patterns due to the preservation of bacterial taxonomic and diversity patterns across different variable region datasets. We deem composite datasets useful for biogeographical studies.
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spelling pubmed-104646922023-08-30 The use of different 16S rRNA gene variable regions in biogeographical studies Varliero, Gilda Lebre, Pedro H. Stevens, Mark I. Czechowski, Paul Makhalanyane, Thulani Cowan, Don A. Environ Microbiol Rep Research Articles 16S rRNA gene amplicon sequencing is routinely used in environmental surveys to identify microbial diversity and composition of the samples of interest. The dominant sequencing technology of the past decade (Illumina) is based on the sequencing of 16S rRNA hypervariable regions. Online sequence data repositories, which represent an invaluable resource for investigating microbial distributional patterns across spatial, environmental or temporal scales, contain amplicon datasets from diverse 16S rRNA gene variable regions. However, the utility of these sequence datasets is potentially reduced by the use of different 16S rRNA gene amplified regions. By comparing 10 Antarctic soil samples sequenced for five different 16S rRNA amplicons, we explore whether sequence data derived from diverse 16S rRNA variable regions can be validly used as a resource for biogeographical studies. Patterns of shared and unique taxa differed among samples as a result of variable taxonomic resolutions of the assessed 16S rRNA variable regions. However, our analyses also suggest that the use of multi‐primer datasets for biogeographical studies of the domain Bacteria is a valid approach to explore bacterial biogeographical patterns due to the preservation of bacterial taxonomic and diversity patterns across different variable region datasets. We deem composite datasets useful for biogeographical studies. John Wiley & Sons, Inc. 2023-02-21 /pmc/articles/PMC10464692/ /pubmed/36810880 http://dx.doi.org/10.1111/1758-2229.13145 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
Varliero, Gilda
Lebre, Pedro H.
Stevens, Mark I.
Czechowski, Paul
Makhalanyane, Thulani
Cowan, Don A.
The use of different 16S rRNA gene variable regions in biogeographical studies
title The use of different 16S rRNA gene variable regions in biogeographical studies
title_full The use of different 16S rRNA gene variable regions in biogeographical studies
title_fullStr The use of different 16S rRNA gene variable regions in biogeographical studies
title_full_unstemmed The use of different 16S rRNA gene variable regions in biogeographical studies
title_short The use of different 16S rRNA gene variable regions in biogeographical studies
title_sort use of different 16s rrna gene variable regions in biogeographical studies
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10464692/
https://www.ncbi.nlm.nih.gov/pubmed/36810880
http://dx.doi.org/10.1111/1758-2229.13145
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