Literature DB >> 29920461

Multi 'omics comparison reveals metabolome biochemistry, not microbiome composition or gene expression, corresponds to elevated biogeochemical function in the hyporheic zone.

Emily B Graham1, Alex R Crump2, David W Kennedy3, Evan Arntzen3, Sarah Fansler3, Samuel O Purvine4, Carrie D Nicora4, William Nelson3, Malak M Tfaily4, James C Stegen3.   

Abstract

Biogeochemical hotspots are pervasive at terrestrial-aquatic interfaces, particularly within groundwater-surface water mixing zones (hyporheic zones), and they are critical to understanding spatiotemporal variation in biogeochemical cycling. Here, we use multi 'omic comparisons of hotspots to low-activity sediments to gain mechanistic insight into hyporheic zone organic matter processing. We hypothesized that microbiome structure and function, as described by metagenomics and metaproteomics, would distinguish hotspots from low-activity sediments by shifting metabolism towards carbohydrate-utilizing pathways and elucidate discrete mechanisms governing organic matter processing in each location. We also expected these differences to be reflected in the metabolome, whereby hotspot carbon (C) pools and metabolite transformations therein would be enriched in sugar-associated compounds. In contrast to expectations, we found pronounced phenotypic plasticity in the hyporheic zone microbiome that was denoted by similar microbiome structure, functional potential, and expression across sediments with dissimilar metabolic rates. Instead, diverse nitrogenous metabolites and biochemical transformations characterized hotspots. Metabolomes also corresponded more strongly to aerobic metabolism than bulk C or N content only (explaining 67% vs. 42% and 37% of variation respectively), and bulk C and N did not improve statistical models based on metabolome composition alone. These results point to organic nitrogen as a significant regulatory factor influencing hyporheic zone organic matter processing. Based on our findings, we propose incorporating knowledge of metabolic pathways associated with different chemical fractions of C pools into ecosystem models will enhance prediction accuracy.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Carbon cycle; Coupled C-N cycling; FT-ICR-MS; Hydrobiogeochemistry; Respiration; Riparian

Mesh:

Substances:

Year:  2018        PMID: 29920461     DOI: 10.1016/j.scitotenv.2018.05.256

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  10 in total

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Authors:  Braden T Tierney; Zhen Yang; Jacob M Luber; Marc Beaudin; Marsha C Wibowo; Christina Baek; Eleanor Mehlenbacher; Chirag J Patel; Aleksandar D Kostic
Journal:  Cell Host Microbe       Date:  2019-08-14       Impact factor: 21.023

2.  Synthetic Soil Aggregates: Bioprinted Habitats for High-Throughput Microbial Metaphenomics.

Authors:  Darian Smercina; Neerja Zambare; Kirsten Hofmockel; Natalie Sadler; Erin L Bredeweg; Carrie Nicora; Lye Meng Markillie; Jayde Aufrecht
Journal:  Microorganisms       Date:  2022-04-30

Review 3.  Characterizing Natural Organic Matter Transformations by Microbial Communities in Terrestrial Subsurface Ecosystems: A Critical Review of Analytical Techniques and Challenges.

Authors:  Kristine Grace M Cabugao; Sara Gushgari-Doyle; Stephany S Chacon; Xiaoqin Wu; Amrita Bhattacharyya; Nicholas Bouskill; Romy Chakraborty
Journal:  Front Microbiol       Date:  2022-05-04       Impact factor: 6.064

4.  Organic Fertilizers Shape Soil Microbial Communities and Increase Soil Amino Acid Metabolites Content in a Blueberry Orchard.

Authors:  Yulan Tan; Jing Wang; Yongguo He; Xiumei Yu; Shujuan Chen; Petri Penttinen; Shuliang Liu; Yong Yang; Ke Zhao; Likou Zou
Journal:  Microb Ecol       Date:  2022-01-22       Impact factor: 4.552

5.  Using metacommunity ecology to understand environmental metabolomes.

Authors:  Robert E Danczak; Rosalie K Chu; Sarah J Fansler; Amy E Goldman; Emily B Graham; Malak M Tfaily; Jason Toyoda; James C Stegen
Journal:  Nat Commun       Date:  2020-12-11       Impact factor: 14.919

6.  Using Community Science to Reveal the Global Chemogeography of River Metabolomes.

Authors:  Vanessa A Garayburu-Caruso; Robert E Danczak; James C Stegen; Lupita Renteria; Marcy Mccall; Amy E Goldman; Rosalie K Chu; Jason Toyoda; Charles T Resch; Joshua M Torgeson; Jacqueline Wells; Sarah Fansler; Swatantar Kumar; Emily B Graham
Journal:  Metabolites       Date:  2020-12-20

7.  Inferring the Contribution of Microbial Taxa and Organic Matter Molecular Formulas to Ecological Assembly.

Authors:  Robert E Danczak; Aditi Sengupta; Sarah J Fansler; Rosalie K Chu; Vanessa A Garayburu-Caruso; Lupita Renteria; Jason Toyoda; Jacqueline Wells; James C Stegen
Journal:  Front Microbiol       Date:  2022-02-18       Impact factor: 5.640

8.  Comparative metabolomics unveils molecular changes and metabolic networks of syringin against hepatitis B mice by untargeted mass spectrometry.

Authors:  Yi-Chang Jiang; Yuan-Feng Li; Ling Zhou; Da-Peng Zhang
Journal:  RSC Adv       Date:  2020-01-02       Impact factor: 4.036

9.  Genome-Resolved Metaproteomics Decodes the Microbial and Viral Contributions to Coupled Carbon and Nitrogen Cycling in River Sediments.

Authors:  Josué A Rodríguez-Ramos; Mikayla A Borton; Bridget B McGivern; Garrett J Smith; Lindsey M Solden; Michael Shaffer; Rebecca A Daly; Samuel O Purvine; Carrie D Nicora; Elizabeth K Eder; Mary Lipton; David W Hoyt; James C Stegen; Kelly C Wrighton
Journal:  mSystems       Date:  2022-07-21       Impact factor: 7.324

10.  Representing Organic Matter Thermodynamics in Biogeochemical Reactions via Substrate-Explicit Modeling.

Authors:  Hyun-Seob Song; James C Stegen; Emily B Graham; Joon-Yong Lee; Vanessa A Garayburu-Caruso; William C Nelson; Xingyuan Chen; J David Moulton; Timothy D Scheibe
Journal:  Front Microbiol       Date:  2020-10-23       Impact factor: 5.640

  10 in total

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