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Pathways for Understanding Blue Carbon Microbiomes with Amplicon Sequencing

The capacity of Blue Carbon Ecosystems to act as carbon sinks is strongly influenced by the metabolism of soil-associated microbes, which ultimately determine how much carbon is accumulated or returned to the atmosphere. The rapid evolution of sequencing technologies has facilitated the generation o...

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Autores principales: Hurtado-McCormick, Valentina, Trevathan-Tackett, Stacey M., Bowen, Jennifer L., Connolly, Rod M., Duarte, Carlos M., Macreadie, Peter I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694552/
https://www.ncbi.nlm.nih.gov/pubmed/36363713
http://dx.doi.org/10.3390/microorganisms10112121
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author Hurtado-McCormick, Valentina
Trevathan-Tackett, Stacey M.
Bowen, Jennifer L.
Connolly, Rod M.
Duarte, Carlos M.
Macreadie, Peter I.
author_facet Hurtado-McCormick, Valentina
Trevathan-Tackett, Stacey M.
Bowen, Jennifer L.
Connolly, Rod M.
Duarte, Carlos M.
Macreadie, Peter I.
author_sort Hurtado-McCormick, Valentina
collection PubMed
description The capacity of Blue Carbon Ecosystems to act as carbon sinks is strongly influenced by the metabolism of soil-associated microbes, which ultimately determine how much carbon is accumulated or returned to the atmosphere. The rapid evolution of sequencing technologies has facilitated the generation of tremendous amounts of data on what taxa comprise belowground microbial assemblages, largely available as isolated datasets, offering an opportunity for synthesis research that informs progress on understanding Blue Carbon microbiomes. We identified questions that can be addressed with a synthesis approach, including the high variability across datasets, space, and time due to differing sampling techniques, ecosystem or vegetation specificity, and the relationship between microbiome community and edaphic properties, particularly soil carbon. To address these questions, we collated 34 16S rRNA amplicon sequencing datasets, including bulk soil or rhizosphere from seagrass, mangroves, and saltmarshes within publicly available repositories. We identified technical and theoretical challenges that precluded a synthesis of multiple studies with currently available data, and opportunities for addressing the knowledge gaps within Blue Carbon microbial ecology going forward. Here, we provide a standardisation toolbox that supports enacting tasks for the acquisition, management, and integration of Blue Carbon-associated sequencing data and metadata to potentially elucidate novel mechanisms behind Blue Carbon dynamics.
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spelling pubmed-96945522022-11-26 Pathways for Understanding Blue Carbon Microbiomes with Amplicon Sequencing Hurtado-McCormick, Valentina Trevathan-Tackett, Stacey M. Bowen, Jennifer L. Connolly, Rod M. Duarte, Carlos M. Macreadie, Peter I. Microorganisms Perspective The capacity of Blue Carbon Ecosystems to act as carbon sinks is strongly influenced by the metabolism of soil-associated microbes, which ultimately determine how much carbon is accumulated or returned to the atmosphere. The rapid evolution of sequencing technologies has facilitated the generation of tremendous amounts of data on what taxa comprise belowground microbial assemblages, largely available as isolated datasets, offering an opportunity for synthesis research that informs progress on understanding Blue Carbon microbiomes. We identified questions that can be addressed with a synthesis approach, including the high variability across datasets, space, and time due to differing sampling techniques, ecosystem or vegetation specificity, and the relationship between microbiome community and edaphic properties, particularly soil carbon. To address these questions, we collated 34 16S rRNA amplicon sequencing datasets, including bulk soil or rhizosphere from seagrass, mangroves, and saltmarshes within publicly available repositories. We identified technical and theoretical challenges that precluded a synthesis of multiple studies with currently available data, and opportunities for addressing the knowledge gaps within Blue Carbon microbial ecology going forward. Here, we provide a standardisation toolbox that supports enacting tasks for the acquisition, management, and integration of Blue Carbon-associated sequencing data and metadata to potentially elucidate novel mechanisms behind Blue Carbon dynamics. MDPI 2022-10-26 /pmc/articles/PMC9694552/ /pubmed/36363713 http://dx.doi.org/10.3390/microorganisms10112121 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Perspective
Hurtado-McCormick, Valentina
Trevathan-Tackett, Stacey M.
Bowen, Jennifer L.
Connolly, Rod M.
Duarte, Carlos M.
Macreadie, Peter I.
Pathways for Understanding Blue Carbon Microbiomes with Amplicon Sequencing
title Pathways for Understanding Blue Carbon Microbiomes with Amplicon Sequencing
title_full Pathways for Understanding Blue Carbon Microbiomes with Amplicon Sequencing
title_fullStr Pathways for Understanding Blue Carbon Microbiomes with Amplicon Sequencing
title_full_unstemmed Pathways for Understanding Blue Carbon Microbiomes with Amplicon Sequencing
title_short Pathways for Understanding Blue Carbon Microbiomes with Amplicon Sequencing
title_sort pathways for understanding blue carbon microbiomes with amplicon sequencing
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694552/
https://www.ncbi.nlm.nih.gov/pubmed/36363713
http://dx.doi.org/10.3390/microorganisms10112121
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