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Sequencing our way to more accurate community abundance

Over the last two decades, there has been a huge increase in our understanding of microbial diversity, structure and composition enabled by high‐throughput sequencing technologies. Yet, it is unclear how the number of sequences translates to the number of cells or species within the community. In so...

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Autor principal: Brennan, Georgina L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10091737/
https://www.ncbi.nlm.nih.gov/pubmed/36197791
http://dx.doi.org/10.1111/1755-0998.13717
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author Brennan, Georgina L.
author_facet Brennan, Georgina L.
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description Over the last two decades, there has been a huge increase in our understanding of microbial diversity, structure and composition enabled by high‐throughput sequencing technologies. Yet, it is unclear how the number of sequences translates to the number of cells or species within the community. In some cases, additional observational data may be required to ensure relative abundance patterns from sequence reads are biologically meaningful. The goal of DNA‐based methods for biodiversity assessments is to obtain robust community abundance data, simultaneously, from environmental samples. In this issue of Molecular Ecology Resources, Pierella Karlusich et al. (2022) describe a new method for quantifying phytoplankton cell abundance. Using Tara Oceans data sets, the authors propose the photosynthetic gene psbO for reporting accurate relative abundance of the entire phytoplankton community from metagenomic data. The authors demonstrate higher correlations with traditional optical methods (including microscopy and flow cytometry), using their new method, improving upon molecular abundance assessments using multicopy marker genes. Furthermore, to facilitate application of their approach, the authors curated a psbO gene database for accessible taxonomic queries. This is an important step towards improving species abundance estimates from molecular data and eventually reporting of absolute species abundance, enhancing our understanding of community dynamics.
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spelling pubmed-100917372023-04-13 Sequencing our way to more accurate community abundance Brennan, Georgina L. Mol Ecol Resour News and Views Over the last two decades, there has been a huge increase in our understanding of microbial diversity, structure and composition enabled by high‐throughput sequencing technologies. Yet, it is unclear how the number of sequences translates to the number of cells or species within the community. In some cases, additional observational data may be required to ensure relative abundance patterns from sequence reads are biologically meaningful. The goal of DNA‐based methods for biodiversity assessments is to obtain robust community abundance data, simultaneously, from environmental samples. In this issue of Molecular Ecology Resources, Pierella Karlusich et al. (2022) describe a new method for quantifying phytoplankton cell abundance. Using Tara Oceans data sets, the authors propose the photosynthetic gene psbO for reporting accurate relative abundance of the entire phytoplankton community from metagenomic data. The authors demonstrate higher correlations with traditional optical methods (including microscopy and flow cytometry), using their new method, improving upon molecular abundance assessments using multicopy marker genes. Furthermore, to facilitate application of their approach, the authors curated a psbO gene database for accessible taxonomic queries. This is an important step towards improving species abundance estimates from molecular data and eventually reporting of absolute species abundance, enhancing our understanding of community dynamics. John Wiley and Sons Inc. 2022-10-22 2023-01 /pmc/articles/PMC10091737/ /pubmed/36197791 http://dx.doi.org/10.1111/1755-0998.13717 Text en © 2022 The Author. Molecular Ecology Resources 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 News and Views
Brennan, Georgina L.
Sequencing our way to more accurate community abundance
title Sequencing our way to more accurate community abundance
title_full Sequencing our way to more accurate community abundance
title_fullStr Sequencing our way to more accurate community abundance
title_full_unstemmed Sequencing our way to more accurate community abundance
title_short Sequencing our way to more accurate community abundance
title_sort sequencing our way to more accurate community abundance
topic News and Views
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10091737/
https://www.ncbi.nlm.nih.gov/pubmed/36197791
http://dx.doi.org/10.1111/1755-0998.13717
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