Pathways for Understanding Blue Carbon Microbiomes with Amplicon Sequencing

Hurtado-McCormick, V; Trevathan-Tackett, SM; Bowen, JL; Connolly, RM; Duarte, CM; Macreadie, PI

Pathways for Understanding Blue Carbon Microbiomes with Amplicon Sequencing

Hurtado-McCormick, V Trevathan-Tackett, SM Bowen, JL Connolly, RM Duarte, CM Macreadie, PI

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Publisher:: MDPI AG
Publication Type:: Journal Article
Citation:: Microorganisms, 2022, 10, (11), pp. 2121
Issue Date:: 2022-10-26

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Field	Value	Language
dc.contributor.author	Hurtado-McCormick, V
dc.contributor.author	Trevathan-Tackett, SM
dc.contributor.author	Bowen, JL
dc.contributor.author	Connolly, RM
dc.contributor.author	Duarte, CM
dc.contributor.author	Macreadie, PI
dc.date.accessioned	2022-11-11T04:02:23Z
dc.date.available	2022-11-11T04:02:23Z
dc.date.issued	2022-10-26
dc.identifier.citation	Microorganisms, 2022, 10, (11), pp. 2121
dc.identifier.issn	2076-2607
dc.identifier.issn	2076-2607
dc.identifier.uri	http://hdl.handle.net/10453/163393
dc.description.abstract	<jats:p>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.</jats:p>
dc.language	en
dc.publisher	MDPI AG
dc.relation.ispartof	Microorganisms
dc.relation.isbasedon	10.3390/microorganisms10112121
dc.rights	Copyright: © 2022 by the authors. Submitted for possible open access publication under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/license s/by/4.0/).
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.title	Pathways for Understanding Blue Carbon Microbiomes with Amplicon Sequencing
dc.type	Journal Article
utslib.citation.volume	10
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Strength - C3 - Climate Change Cluster
utslib.copyright.status	open_access	*
dc.date.updated	2022-11-11T03:58:34Z
pubs.issue	11
pubs.publication-status	Published online
pubs.volume	10
utslib.citation.issue	11

Abstract:

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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http://hdl.handle.net/10453/163393