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Title: An ecological framework for microbial metabolites in the ocean ecosystem
Abstract The ocean microbe‐metabolite network involves thousands of individual metabolites that encompass a breadth of chemical diversity and biological functions. These microbial metabolites mediate biogeochemical cycles, facilitate ecological relationships, and impact ecosystem health. While analytical advancements have begun to illuminate such roles, a challenge in navigating the deluge of marine metabolomics information is to identify a subset of metabolites that have the greatest ecosystem impact. Here, we present an ecological framework to distill knowledge of fundamental metabolites that underpin marine ecosystems. We borrow terms from macroecology that describe important species, namely “dominant,” “keystone,” and “indicator” species, and apply these designations to metabolites within the ocean microbial metabolome. These selected metabolites may shape marine community structure, function, and health and provide focal points for enhanced study of microbe‐metabolite networks. Applying ecological concepts to marine metabolites provides a path to leverage metabolomics data to better describe and predict marine microbial ecosystems. more »« less
Zuffa, Simone; Schmid, Robin; Bauermeister, Anelize; P. Gomes, Paulo Wender; Caraballo-Rodriguez, Andres M.; El Abiead, Yasin; Aron, Allegra T.; Gentry, Emily C.; Zemlin, Jasmine; Meehan, Michael J.; et al
(, Nature Microbiology)
Abstract microbeMASST, a taxonomically informed mass spectrometry (MS) search tool, tackles limited microbial metabolite annotation in untargeted metabolomics experiments. Leveraging a curated database of >60,000 microbial monocultures, users can search known and unknown MS/MS spectra and link them to their respective microbial producers via MS/MS fragmentation patterns. Identification of microbe-derived metabolites and relative producers without a priori knowledge will vastly enhance the understanding of microorganisms’ role in ecology and human health.
Flowers, L.
(, Biomedical journal of scientific technical research)
Microbiome research is a thriving field focused on characterizing the composition and functionality of microbial populations or microbiomes from a wide array of ecological niches. Microbiomes occupy living organisms, soil, the atmosphere, and bodies of water and exist in moderate and extreme climates. Understanding the intractable microbial universes in various environments is challenging and potentially rewarding to humankind. Historically, elucidating pathogenic microbes and their impact on host species has dominated microbiome-based studies. Moreover, a tiny percentage of microbes can be cultured using classical culturing methods. With advancements in high throughput experimentation and computational tools derived from microbial ecology, there is a driving force to gain insight into the entire microbial consortium from various environmental and biological locations. Metagenomics, the study of all the microbial genomes in a sample using sequencing techniques (e.g., 16s rRNA amplicon sequencing and shotgun sequencing), has so far dominated the types of investigations conducted in the field of microbiome research. More recently, however, researchers are becoming increasingly interested in better understanding the complex microbe-associated molecular network and specific protein and metabolite functions associated with microbial genetic potential. Metaproteomic, meta transcriptomics, and metabolomics are three potent methods to accumulate information about microbial proteins, messenger RNA, and metabolites in a microbial community. These methods are currently being applied in laboratory settings to address our general lack of understanding of microbe-microbe interactions and microbe-environment interactions.
Longnecker, Krista; Kujawinski, Elizabeth B.
(, Metabolites)
Metabolomics is a tool with immense potential for providing insight into the impact of biological processes on the environment. Here, we used metabolomics methods to characterize intracellular metabolites within marine microorganisms during a manipulation experiment that was designed to test the impact of two sources of microbial mortality, protozoan grazing and viral lysis. Intracellular metabolites were analyzed with targeted and untargeted mass spectrometry methods. The treatment with reduced viral mortality showed the largest changes in metabolite concentrations, although there were organic compounds that shifted when the impact of protozoan grazers was reduced. Intracellular concentrations of guanine, phenylalanine, glutamic acid, and ectoine presented significant responses to changes in the source of mortality. Unexpectedly, variability in metabolite concentrations were not accompanied by increases in microbial abundance which indicates that marine microorganisms altered their internal organic carbon stores without changes in biomass or microbial growth. We used Weighted Correlation Network Analysis (WGCNA) to identify correlations between the targeted and untargeted mass spectrometry data. This analysis revealed multiple unknown organic compounds were correlated with compatible solutes, also called osmolytes or chemical chaperones, which emphasizes the dominant role of compatible solutes in marine microorganisms.
Weber, Laura; Armenteros, Maickel; Kido Soule, Melissa; Longnecker, Krista; Kujawinski, Elizabeth B.; Apprill, Amy
(, Frontiers in Marine Science)
Coral reef ecosystems are incredibly diverse marine biomes that rely on nutrient cycling by microorganisms to sustain high productivity in generally oligotrophic regions of the ocean. Understanding the composition of extracellular reef metabolites in seawater, the small organic molecules that serve as the currency for microorganisms, may provide insight into benthic-pelagic coupling as well as the complexity of nutrient cycling in coral reef ecosystems. Jardines de la Reina (JR), Cuba is an ideal environment to examine extracellular metabolites across protected and high-quality reefs. Here, we used liquid chromatography mass spectrometry (LC-MS) to quantify specific known metabolites of interest (targeted metabolomics approach) and to survey trends in metabolite feature composition (untargeted metabolomics approach) from surface and reef depth (6 – 14 m) seawater overlying nine forereef sites in JR. We found that untargeted metabolite feature composition was surprisingly similar between reef depth and surface seawater, corresponding with other biogeochemical and physicochemical measurements and suggesting that environmental conditions were largely homogenous across forereefs within JR. Additionally, we quantified 32 of 53 detected metabolites using the targeted approach, including amino acids, nucleosides, vitamins, and other metabolic intermediates. Two of the quantified metabolites, riboflavin and xanthosine, displayed interesting trends by depth. Riboflavin concentrations were higher in reef depth compared to surface seawater, suggesting that riboflavin may be produced by reef organisms at depth and degraded in the surface through photochemical oxidation. Xanthosine concentrations were significantly higher in surface reef seawater. 5′-methylthioadenosine (MTA) concentrations increased significantly within the central region of the archipelago, displaying biogeographic patterns that warrant further investigation. Here we lay the groundwork for future investigations of variations in metabolite composition across reefs, sources and sinks of reef metabolites, and changes in metabolites over environmental, temporal, and reef health gradients.
ABSTRACT Microbial interactions are often mediated by diffusible small molecules, including secondary metabolites, that play roles in cell-to-cell signaling and inhibition of competitors. Biofilms are often “hot spots” for high concentrations of bacteria and their secondary metabolites, which make them ideal systems for the study of small-molecule contributions to microbial interactions. Here, we use a five-member synthetic community consisting of Roseobacteraceae representatives to investigate the role of secondary metabolites on microbial biofilm dynamics. One synthetic community member, Rhodobacterales strain Y4I, possesses two acylated homoserine lactone (AHL)-based cell-to-cell signaling systems ( pgaRI and phaRI ) as well as a nonribosomal peptide synthase gene ( igi ) cluster that encodes the antimicrobial indigoidine. Through serial substitution of Y4I with mutants deficient in single signaling molecule pathways, the contribution of these small-molecule systems could be assessed. As secondary metabolite production is dependent upon central metabolites, the influence of growth substrate (i.e., complex medium versus defined medium with a single carbon substrate) on these dynamics was also considered. Depending on the Y4I mutant genotype included, community dynamics ranged from competitive to cooperative. The observed interactions were mostly competitive in nature. However, the community harboring a Y4I variant that was both impaired in quorum sensing (QS) pathways and unable to produce indigoidine ( pgaR variant) shifted toward more cooperative interactions over time. These cooperative interactions were enhanced in the defined growth medium. The results presented provide a framework for deciphering complex, small-molecule-mediated interactions that have broad application to microbial biology. IMPORTANCE Microbial biofilms play critical roles in marine ecosystems and are hot spots for microbial interactions that play a role in the development and function of these communities. Roseobacteraceae are an abundant and active family of marine heterotrophic bacteria forming close associations with phytoplankton and carrying out key transformations in biogeochemical cycles. Group members are aggressive primary colonizers of surfaces, where they set the stage for the development of multispecies biofilm communities. Few studies have examined the impact of secondary metabolites, such as cell-to-cell signaling and antimicrobial production, on marine microbial biofilm community structure. Here, we assessed the impact of secondary metabolites on microbial interactions using a synthetic, five-member Roseobacteraceae community by measuring species composition and biomass production during biofilm growth. We present evidence that secondary metabolites influence social behaviors within these multispecies microbial biofilms, thereby improving understanding of bacterial secondary metabolite production influence on social behaviors within marine microbial biofilm communities.
Durham, Bryndan P, Johnson, Winifred M, Bannon, Catherine C, Bertrand, Erin M, Ingalls, Anitra E, Edwards, Bethanie R, Apprill, Amy, Boysen, Angela K, Bundy, Randelle M, Chen, Huan, Ferrer‐González, Frank X, Fiore, Cara, Heal, Katherine R, Kuhlisch, Constanze, Liu, Shuting, Lu, Kaijun, Meke, Laurel E, Pontrelli, Sammy, Vaiyapuri_Ramalingam, Prabavathy, Reigel, Alicia M, Sacks, Joshua S, Schreier, Jeremy E, Sekar, Jegan, Uchimiya, Mario, and Kujawinski, Elizabeth B. An ecological framework for microbial metabolites in the ocean ecosystem. Retrieved from https://par.nsf.gov/biblio/10631123. Limnology and Oceanography Letters . Web. doi:10.1002/lol2.70046.
Durham, Bryndan P, Johnson, Winifred M, Bannon, Catherine C, Bertrand, Erin M, Ingalls, Anitra E, Edwards, Bethanie R, Apprill, Amy, Boysen, Angela K, Bundy, Randelle M, Chen, Huan, Ferrer‐González, Frank X, Fiore, Cara, Heal, Katherine R, Kuhlisch, Constanze, Liu, Shuting, Lu, Kaijun, Meke, Laurel E, Pontrelli, Sammy, Vaiyapuri_Ramalingam, Prabavathy, Reigel, Alicia M, Sacks, Joshua S, Schreier, Jeremy E, Sekar, Jegan, Uchimiya, Mario, & Kujawinski, Elizabeth B. An ecological framework for microbial metabolites in the ocean ecosystem. Limnology and Oceanography Letters, (). Retrieved from https://par.nsf.gov/biblio/10631123. https://doi.org/10.1002/lol2.70046
Durham, Bryndan P, Johnson, Winifred M, Bannon, Catherine C, Bertrand, Erin M, Ingalls, Anitra E, Edwards, Bethanie R, Apprill, Amy, Boysen, Angela K, Bundy, Randelle M, Chen, Huan, Ferrer‐González, Frank X, Fiore, Cara, Heal, Katherine R, Kuhlisch, Constanze, Liu, Shuting, Lu, Kaijun, Meke, Laurel E, Pontrelli, Sammy, Vaiyapuri_Ramalingam, Prabavathy, Reigel, Alicia M, Sacks, Joshua S, Schreier, Jeremy E, Sekar, Jegan, Uchimiya, Mario, and Kujawinski, Elizabeth B.
"An ecological framework for microbial metabolites in the ocean ecosystem". Limnology and Oceanography Letters (). Country unknown/Code not available: Limnology and Oceanography Letters. https://doi.org/10.1002/lol2.70046.https://par.nsf.gov/biblio/10631123.
@article{osti_10631123,
place = {Country unknown/Code not available},
title = {An ecological framework for microbial metabolites in the ocean ecosystem},
url = {https://par.nsf.gov/biblio/10631123},
DOI = {10.1002/lol2.70046},
abstractNote = {Abstract The ocean microbe‐metabolite network involves thousands of individual metabolites that encompass a breadth of chemical diversity and biological functions. These microbial metabolites mediate biogeochemical cycles, facilitate ecological relationships, and impact ecosystem health. While analytical advancements have begun to illuminate such roles, a challenge in navigating the deluge of marine metabolomics information is to identify a subset of metabolites that have the greatest ecosystem impact. Here, we present an ecological framework to distill knowledge of fundamental metabolites that underpin marine ecosystems. We borrow terms from macroecology that describe important species, namely “dominant,” “keystone,” and “indicator” species, and apply these designations to metabolites within the ocean microbial metabolome. These selected metabolites may shape marine community structure, function, and health and provide focal points for enhanced study of microbe‐metabolite networks. Applying ecological concepts to marine metabolites provides a path to leverage metabolomics data to better describe and predict marine microbial ecosystems.},
journal = {Limnology and Oceanography Letters},
publisher = {Limnology and Oceanography Letters},
author = {Durham, Bryndan P and Johnson, Winifred M and Bannon, Catherine C and Bertrand, Erin M and Ingalls, Anitra E and Edwards, Bethanie R and Apprill, Amy and Boysen, Angela K and Bundy, Randelle M and Chen, Huan and Ferrer‐González, Frank X and Fiore, Cara and Heal, Katherine R and Kuhlisch, Constanze and Liu, Shuting and Lu, Kaijun and Meke, Laurel E and Pontrelli, Sammy and Vaiyapuri_Ramalingam, Prabavathy and Reigel, Alicia M and Sacks, Joshua S and Schreier, Jeremy E and Sekar, Jegan and Uchimiya, Mario and Kujawinski, Elizabeth B},
}
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