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Construction of Viable Soil Defined Media Using Quantitative Metabolomics Analysis of Soil Metabolites

Exometabolomics enables analysis of metabolite utilization of low molecular weight organic substances by soil bacteria. Environmentally-based defined media are needed to examine ecologically relevant patterns of substrate utilization. Here, we describe an approach for the construction of defined med...

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Autores principales: Jenkins, Stefan, Swenson, Tami L., Lau, Rebecca, Rocha, Andrea M., Aaring, Alex, Hazen, Terry C., Chakraborty, Romy, Northen, Trent R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5744445/
https://www.ncbi.nlm.nih.gov/pubmed/29312276
http://dx.doi.org/10.3389/fmicb.2017.02618
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author Jenkins, Stefan
Swenson, Tami L.
Lau, Rebecca
Rocha, Andrea M.
Aaring, Alex
Hazen, Terry C.
Chakraborty, Romy
Northen, Trent R.
author_facet Jenkins, Stefan
Swenson, Tami L.
Lau, Rebecca
Rocha, Andrea M.
Aaring, Alex
Hazen, Terry C.
Chakraborty, Romy
Northen, Trent R.
author_sort Jenkins, Stefan
collection PubMed
description Exometabolomics enables analysis of metabolite utilization of low molecular weight organic substances by soil bacteria. Environmentally-based defined media are needed to examine ecologically relevant patterns of substrate utilization. Here, we describe an approach for the construction of defined media using untargeted characterization of water soluble soil microbial metabolites from a saprolite soil collected from the Oak Ridge Field Research Center (ORFRC). To broadly characterize metabolites, both liquid chromatography mass spectrometry (LC/MS) and gas chromatography mass spectrometry (GC/MS) were used. With this approach, 96 metabolites were identified, including amino acids, amino acid derivatives, sugars, sugar alcohols, mono- and di-carboxylic acids, nucleobases, and nucleosides. From this pool of metabolites, 25 were quantified. Molecular weight cut-off filtration determined the fraction of carbon accounted for by the quantified metabolites and revealed that these soil metabolites have an uneven quantitative distribution (e.g., trehalose accounted for 9.9% of the <1 kDa fraction). This quantitative information was used to formulate two soil defined media (SDM), one containing 23 metabolites (SDM1) and one containing 46 (SDM2). To evaluate the viability of the SDM, we examined the growth of 30 phylogenetically diverse soil bacterial isolates from the ORFRC field site. The simpler SDM1 supported the growth of 13 isolates while the more complex SDM2 supported 15 isolates. To investigate SDM1 substrate preferences, one isolate, Pseudomonas corrugata strain FW300-N2E2 was selected for a time-series exometabolomics analysis. Interestingly, it was found that this organism preferred lower-abundance substrates such as guanine, glycine, proline and arginine and glucose and did not utilize the more abundant substrates maltose, mannitol, trehalose and uridine. These results demonstrate the viability and utility of using exometabolomics to construct a tractable environmentally relevant media. We anticipate that this approach can be expanded to other environments to enhance isolation and characterization of diverse microbial communities.
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spelling pubmed-57444452018-01-08 Construction of Viable Soil Defined Media Using Quantitative Metabolomics Analysis of Soil Metabolites Jenkins, Stefan Swenson, Tami L. Lau, Rebecca Rocha, Andrea M. Aaring, Alex Hazen, Terry C. Chakraborty, Romy Northen, Trent R. Front Microbiol Microbiology Exometabolomics enables analysis of metabolite utilization of low molecular weight organic substances by soil bacteria. Environmentally-based defined media are needed to examine ecologically relevant patterns of substrate utilization. Here, we describe an approach for the construction of defined media using untargeted characterization of water soluble soil microbial metabolites from a saprolite soil collected from the Oak Ridge Field Research Center (ORFRC). To broadly characterize metabolites, both liquid chromatography mass spectrometry (LC/MS) and gas chromatography mass spectrometry (GC/MS) were used. With this approach, 96 metabolites were identified, including amino acids, amino acid derivatives, sugars, sugar alcohols, mono- and di-carboxylic acids, nucleobases, and nucleosides. From this pool of metabolites, 25 were quantified. Molecular weight cut-off filtration determined the fraction of carbon accounted for by the quantified metabolites and revealed that these soil metabolites have an uneven quantitative distribution (e.g., trehalose accounted for 9.9% of the <1 kDa fraction). This quantitative information was used to formulate two soil defined media (SDM), one containing 23 metabolites (SDM1) and one containing 46 (SDM2). To evaluate the viability of the SDM, we examined the growth of 30 phylogenetically diverse soil bacterial isolates from the ORFRC field site. The simpler SDM1 supported the growth of 13 isolates while the more complex SDM2 supported 15 isolates. To investigate SDM1 substrate preferences, one isolate, Pseudomonas corrugata strain FW300-N2E2 was selected for a time-series exometabolomics analysis. Interestingly, it was found that this organism preferred lower-abundance substrates such as guanine, glycine, proline and arginine and glucose and did not utilize the more abundant substrates maltose, mannitol, trehalose and uridine. These results demonstrate the viability and utility of using exometabolomics to construct a tractable environmentally relevant media. We anticipate that this approach can be expanded to other environments to enhance isolation and characterization of diverse microbial communities. Frontiers Media S.A. 2017-12-22 /pmc/articles/PMC5744445/ /pubmed/29312276 http://dx.doi.org/10.3389/fmicb.2017.02618 Text en Copyright © 2017 Jenkins, Swenson, Lau, Rocha, Aaring, Hazen, Chakraborty and Northen. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Jenkins, Stefan
Swenson, Tami L.
Lau, Rebecca
Rocha, Andrea M.
Aaring, Alex
Hazen, Terry C.
Chakraborty, Romy
Northen, Trent R.
Construction of Viable Soil Defined Media Using Quantitative Metabolomics Analysis of Soil Metabolites
title Construction of Viable Soil Defined Media Using Quantitative Metabolomics Analysis of Soil Metabolites
title_full Construction of Viable Soil Defined Media Using Quantitative Metabolomics Analysis of Soil Metabolites
title_fullStr Construction of Viable Soil Defined Media Using Quantitative Metabolomics Analysis of Soil Metabolites
title_full_unstemmed Construction of Viable Soil Defined Media Using Quantitative Metabolomics Analysis of Soil Metabolites
title_short Construction of Viable Soil Defined Media Using Quantitative Metabolomics Analysis of Soil Metabolites
title_sort construction of viable soil defined media using quantitative metabolomics analysis of soil metabolites
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5744445/
https://www.ncbi.nlm.nih.gov/pubmed/29312276
http://dx.doi.org/10.3389/fmicb.2017.02618
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