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Using network analysis to discern compositional patterns in ultrahigh‐resolution mass spectrometry data of dissolved organic matter
Author(s) -
Longnecker Krista,
Kujawinski Elizabeth B.
Publication year - 2016
Publication title -
rapid communications in mass spectrometry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.528
H-Index - 136
eISSN - 1097-0231
pISSN - 0951-4198
DOI - 10.1002/rcm.7719
Subject(s) - fourier transform ion cyclotron resonance , dissolved organic carbon , chemistry , mass spectrometry , biogeochemical cycle , seawater , electrospray ionization , environmental chemistry , resolution (logic) , sulfur , analytical chemistry (journal) , chromatography , organic chemistry , oceanography , artificial intelligence , computer science , geology
Rationale Marine dissolved organic matter (DOM) has long been recognized as a large and dynamic component of the global carbon cycle. Yet, DOM is chemically varied and complex and these attributes present challenges to researchers interested in addressing questions about the role of DOM in global biogeochemical cycles. Methods Organic matter extracts from seawater were analyzed by direct infusion with electrospray ionization into a Fourier transform ion cyclotron resonance mass spectrometer. Network analysis was used to quantify the number of chemical transformations between mass‐to‐charge values in each sample. The network of chemical transformations was calculated using the MetaNetter plug‐in within Cytoscape. The chemical transformations serve as markers for the shared structural characteristics of compounds within complex DOM. Results Network analysis revealed that transformations involving selected sulfur‐containing moieties and isomers of amino acids were more prevalent in the deep sea than in the surface ocean. Common chemical transformations were not significantly different between the deep sea and surface ocean. Network analysis complements existing computational tools used to analyze ultrahigh‐resolution mass spectrometry data. Conclusions This combination of ultrahigh‐resolution mass spectrometry with novel computational tools has identified new potential building blocks of organic compounds in the deep sea, including the unexpected importance of dissolved organic sulfur components. The method described here can be readily applied by researchers to analyze heterogeneous and complex DOM. Copyright © 2016 John Wiley & Sons, Ltd.