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DNA-, RNA-, and protein-based stable-isotope probing for high-throughput biomarker analysis of active microorganisms

DNA-, RNA-, and protein-based stable-isotope probing for high-throughput biomarker analysis of active microorganisms
DNA-, RNA-, and protein-based stable-isotope probing for high-throughput biomarker analysis of active microorganisms
Stable-isotope probing (SIP) enables researchers to target active populations within complex microbial communities, which is achieved by providing growth substrates enriched in heavy isotopes, usually in the form of 13C, 18O, or 15N. After growth on the substrate and subsequent extraction of microbial biomarkers, typically nucleic acids or proteins, the SIP technique is used for the recovery and analysis of isotope-labelled biomarkers from active microbial populations. In the years following the initial development of DNA- and RNA-based SIP, it was common practice to characterize labelled populations by targeted gene analysis. Such approaches usually involved fingerprint-based analyses or sequencing clone libraries containing 16S rRNA genes or functional marker gene amplicons. Although molecular fingerprinting remains a valuable approach for rapid confirmation of isotope labelling, recent advances in sequencing technology mean that it is possible to obtain affordable and comprehensive amplicon profiles, or even metagenomes and metatranscriptomes from SIP experiments. Not only can the abundance of microbial groups be inferred from metagenomes, but researchers can bin, assemble, and explore individual genomes to build hypotheses about the metabolic capabilities of labelled microorganisms. Analysis of labelled mRNA is a more recent advance that can provide independent metatranscriptome-based analysis of active microorganisms. The power of metatranscriptomics is that mRNA abundance often correlates closely with the corresponding activity of encoded enzymes, thus providing insight into microbial metabolism at the time of sampling. Together, these advances have improved the sensitivity of SIP methods and allowed using labelled substrates at environmentally relevant concentrations. Particularly as methods improve and costs continue to drop, we expect that the integration of SIP with multiple omics-based methods will become prevalent components of microbial ecology studies, leading to further breakthroughs in our understanding of novel microbial populations and elucidation of the metabolic function of complex microbial communities. In this chapter, we provide protocols for obtaining labelled DNA, RNA, and proteins that can be used for downstream omics-based analyses.
261-282
Humana
Jameson, Eleanor
ac27caf6-8e22-4351-9dae-2094677824a7
Taubert, Martin
5b5b5d16-e561-4665-9d9b-77da724814ac
Angel, Roey
aa764628-2618-425d-87a8-119c12a378c2
Coyotzi, Sara
e14d319f-b0e6-4346-bdc8-6bbdf2e39557
Chen, Yin
c7208435-64fb-42be-8c2a-922e6670d362
Eyice, Özge
867d628b-75f8-49b0-92e2-649c9a78e448
Schäfer, Hendrik
5b516b0a-bd6c-4cc7-a616-21a814e2ddd5
Murrell, J. Colin
244a92ff-dbe1-41cf-9e65-baacbc4a90cf
Neufeld, Josh D.
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Dumont, Marc
afd9f08f-bdbb-4cee-b792-1a7f000ee511
Streit, Wolfgang R.
Daniel, Rolf
Jameson, Eleanor
ac27caf6-8e22-4351-9dae-2094677824a7
Taubert, Martin
5b5b5d16-e561-4665-9d9b-77da724814ac
Angel, Roey
aa764628-2618-425d-87a8-119c12a378c2
Coyotzi, Sara
e14d319f-b0e6-4346-bdc8-6bbdf2e39557
Chen, Yin
c7208435-64fb-42be-8c2a-922e6670d362
Eyice, Özge
867d628b-75f8-49b0-92e2-649c9a78e448
Schäfer, Hendrik
5b516b0a-bd6c-4cc7-a616-21a814e2ddd5
Murrell, J. Colin
244a92ff-dbe1-41cf-9e65-baacbc4a90cf
Neufeld, Josh D.
97a99cce-a614-441b-ab85-dbae37e3c4ba
Dumont, Marc
afd9f08f-bdbb-4cee-b792-1a7f000ee511
Streit, Wolfgang R.
Daniel, Rolf

Jameson, Eleanor, Taubert, Martin, Angel, Roey, Coyotzi, Sara, Chen, Yin, Eyice, Özge, Schäfer, Hendrik, Murrell, J. Colin, Neufeld, Josh D. and Dumont, Marc (2022) DNA-, RNA-, and protein-based stable-isotope probing for high-throughput biomarker analysis of active microorganisms. In, Streit, Wolfgang R. and Daniel, Rolf (eds.) Metagenomics: Methods and Protocols. (Methods in Molecular Biology, 2555) New York, NY. Humana, pp. 261-282. (doi:10.1007/978-1-0716-2795-2_17).

Record type: Book Section

Abstract

Stable-isotope probing (SIP) enables researchers to target active populations within complex microbial communities, which is achieved by providing growth substrates enriched in heavy isotopes, usually in the form of 13C, 18O, or 15N. After growth on the substrate and subsequent extraction of microbial biomarkers, typically nucleic acids or proteins, the SIP technique is used for the recovery and analysis of isotope-labelled biomarkers from active microbial populations. In the years following the initial development of DNA- and RNA-based SIP, it was common practice to characterize labelled populations by targeted gene analysis. Such approaches usually involved fingerprint-based analyses or sequencing clone libraries containing 16S rRNA genes or functional marker gene amplicons. Although molecular fingerprinting remains a valuable approach for rapid confirmation of isotope labelling, recent advances in sequencing technology mean that it is possible to obtain affordable and comprehensive amplicon profiles, or even metagenomes and metatranscriptomes from SIP experiments. Not only can the abundance of microbial groups be inferred from metagenomes, but researchers can bin, assemble, and explore individual genomes to build hypotheses about the metabolic capabilities of labelled microorganisms. Analysis of labelled mRNA is a more recent advance that can provide independent metatranscriptome-based analysis of active microorganisms. The power of metatranscriptomics is that mRNA abundance often correlates closely with the corresponding activity of encoded enzymes, thus providing insight into microbial metabolism at the time of sampling. Together, these advances have improved the sensitivity of SIP methods and allowed using labelled substrates at environmentally relevant concentrations. Particularly as methods improve and costs continue to drop, we expect that the integration of SIP with multiple omics-based methods will become prevalent components of microbial ecology studies, leading to further breakthroughs in our understanding of novel microbial populations and elucidation of the metabolic function of complex microbial communities. In this chapter, we provide protocols for obtaining labelled DNA, RNA, and proteins that can be used for downstream omics-based analyses.

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e-pub ahead of print date: 29 October 2022

Identifiers

Local EPrints ID: 479838
URI: http://eprints.soton.ac.uk/id/eprint/479838
PURE UUID: 550f9bd8-06eb-44d3-a71c-5d761e58eb22
ORCID for Marc Dumont: ORCID iD orcid.org/0000-0002-7347-8668

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Date deposited: 27 Jul 2023 15:17
Last modified: 18 Mar 2024 03:33

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Contributors

Author: Eleanor Jameson
Author: Martin Taubert
Author: Roey Angel
Author: Sara Coyotzi
Author: Yin Chen
Author: Özge Eyice
Author: Hendrik Schäfer
Author: J. Colin Murrell
Author: Josh D. Neufeld
Author: Marc Dumont ORCID iD
Editor: Wolfgang R. Streit
Editor: Rolf Daniel

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