Local Phenomena Shape Backyard Soil Metabolite Composition.

LC-MS/MS human activity metabolomics molecular networking natural products soil

Journal

Metabolites
ISSN: 2218-1989
Titre abrégé: Metabolites
Pays: Switzerland
ID NLM: 101578790

Informations de publication

Date de publication:
29 Feb 2020
Historique:
received: 10 02 2020
revised: 26 02 2020
accepted: 27 02 2020
entrez: 4 3 2020
pubmed: 4 3 2020
medline: 4 3 2020
Statut: epublish

Résumé

Soil covers most of Earth's continental surface and is fundamental to life-sustaining processes such as agriculture. Given its rich biodiversity, soil is also a major source for natural product drug discovery from soil microorganisms. However, the study of the soil small molecule profile has been challenging due to the complexity and heterogeneity of this matrix. In this study, we implemented high-resolution liquid chromatography-tandem mass spectrometry and large-scale data analysis tools such as molecular networking to characterize the relative contributions of city, state and regional processes on backyard soil metabolite composition, in 188 soil samples collected from 14 USA States, representing five USA climate regions. We observed that region, state and city of collection all influence the overall soil metabolite profile. However, many metabolites were only detected in unique sites, indicating that uniquely local phenomena also influence the backyard soil environment, with both human-derived and naturally-produced (plant-derived, microbially-derived) metabolites identified. Overall, these findings are helping to define the processes that shape the backyard soil metabolite composition, while also highlighting the need for expanded metabolomic studies of this complex environment.

Identifiants

pubmed: 32121389
pii: metabo10030086
doi: 10.3390/metabo10030086
pmc: PMC7143036
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : College of Arts and Sciences, University of Oklahoma
ID : 122722501

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Auteurs

Tra D Nguyen (TD)

Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK 73019, USA.

Mahbobeh Lesani (M)

Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK 73019, USA.

Ines Forrest (I)

Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK 73019, USA.

Yunpeng Lan (Y)

Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK 73019, USA.

Danya A Dean (DA)

Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK 73019, USA.

Quentin M R Gibaut (QMR)

Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK 73019, USA.

Yanting Guo (Y)

Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK 73019, USA.

Ekram Hossain (E)

Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK 73019, USA.

Marcela Olvera (M)

Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK 73019, USA.

Hannah Panlilio (H)

Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK 73019, USA.

Adwaita R Parab (AR)

Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK 73019, USA.

Chaoyi Wu (C)

Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK 73019, USA.

Jean A Bernatchez (JA)

Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA 92093, USA.
Center for Discovery and Innovation in Parasitic Diseases, University of California, San Diego, La Jolla, CA 92093, USA.

Robert H Cichewicz (RH)

Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK 73019, USA.

Laura-Isobel McCall (LI)

Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK 73019, USA.
Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK 73019, USA.
Stephenson Cancer Center, University of Oklahoma, Oklahoma City, OK 73104, USA.
Laboratories of Molecular Anthropology and Microbiome Research, University of Oklahoma, Norman, OK 73019, USA.

Classifications MeSH