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Swenson, T. L.

Publications and source records attributed to Swenson, T. L..

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Construction of soil defined media using quantitative exometabolomic analysis of soil metabolites

Exometabolomics enables analysis of metabolite utilization of low molecular weight organic substances by soil isolates. 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 metabolites. To broadly characterize soil 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, osmolytes, nucleobases, and nucleosides. From this pool of metabolites, 25 were quantified. Water soluble organic carbon was fractionated by molecular weight and measured to determine the fraction of carbon accounted for by the quantified metabolites. This revealed that, community structures, these soil metabolites have an uneven quantitative distribution, with a single metabolite, trehalose accounting for 9.9 percent of much like soil microbial the (< 1 kDa) water extractable organic carbon. This quantitative information was used to formulate two soil defined media (SDM), one containing 23 metabolites (SDM1) and one containing 46 (SDM2). To evaluate SDM for supporting the growth of bacteria found at this field site, we examined the growth of 30 phylogenetically diverse soil isolates obtained using standard R2A medium. The simpler SDM1 supported the growth of up to 13 isolates while the more complex SDM2 supported up to 25 isolates. One isolate, Pseudomonas corrugata strain FW300-N2E2 was selected for a time-series exometabolomics analysis to investigate SDM1 substrate preferences. 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.\n\nHighlights O_LILC/MS and GC/MS analyses of soil extracts revealed a diversity of 96 metabolites.\nC_LIO_LISoil defined media were constructed based on water extractable soil metabolomics data.\nC_LIO_LIThe defined media supported the growth of 25 out of 30 bacterial isolates.\nC_LIO_LIExometabolomics demonstrated preferential consumption of amino acids for one isolate.\nC_LIO_LIThese media can be used to understand environmentally relevant microbial substrate preferences.\nC_LI\n\nAbbreviationsDOM dissolved organic matter; SOM soil organic matter; WEOC water extractable organic carbon; LMWOS low molecular weight organic substances; SDM(1/2) soil defined media (1 and 2); R2A Reasoners 2A agar medium; ORFRC Oak Ridge Field Research Center; LC/MS liquid chromatography mass spectrometry; GC/MS gas chromatography/ mass spectrometry; TOC total organic carbon; HILIC hydrophilic interaction liquid chromatography

microbiology

Linking soil biology and chemistry using bacterial isolate exometabolite profiles

Sequencing provides a window into microbial community structure and metabolic potential; however, linking these data to exogenous metabolites that microorganisms process and produce (the exometabolome) remains challenging. Previously, we observed strong exometabolite niche partitioning among bacterial isolates from biological soil crust (biocrust). Here we examine native biocrust to determine if these patterns are reproduced in the environment. Overall, most soil metabolites displayed the expected relationship (positive or negative correlation) with four dominant bacteria following a wetting event and across biocrust developmental stages. For metabolites that were previously found to be consumed by an isolate, 78% were negatively correlated with the abundance of in situ isolate phylotypes whereas for released metabolites, 73% were positively correlated. Our results demonstrate that metabolite profiling, sequencing and exometabolomics can be successfully integrated to functionally link metagenomes and microbial community structure with environmental chemistry.

microbiology