Literature DB >> 27655888

Integrating biogeochemistry with multiomic sequence information in a model oxygen minimum zone.

Stilianos Louca1, Alyse K Hawley2, Sergei Katsev3, Monica Torres-Beltran2, Maya P Bhatia4, Sam Kheirandish2, Céline C Michiels2, David Capelle5, Gaute Lavik6, Michael Doebeli7, Sean A Crowe8, Steven J Hallam9.   

Abstract

Microorganisms are the most abundant lifeform on Earth, mediating global fluxes of matter and energy. Over the past decade, high-throughput molecular techniques generating multiomic sequence information (DNA, mRNA, and protein) have transformed our perception of this microcosmos, conceptually linking microorganisms at the individual, population, and community levels to a wide range of ecosystem functions and services. Here, we develop a biogeochemical model that describes metabolic coupling along the redox gradient in Saanich Inlet-a seasonally anoxic fjord with biogeochemistry analogous to oxygen minimum zones (OMZs). The model reproduces measured biogeochemical process rates as well as DNA, mRNA, and protein concentration profiles across the redox gradient. Simulations make predictions about the role of ubiquitous OMZ microorganisms in mediating carbon, nitrogen, and sulfur cycling. For example, nitrite "leakage" during incomplete sulfide-driven denitrification by SUP05 Gammaproteobacteria is predicted to support inorganic carbon fixation and intense nitrogen loss via anaerobic ammonium oxidation. This coupling creates a metabolic niche for nitrous oxide reduction that completes denitrification by currently unidentified community members. These results quantitatively improve previous conceptual models describing microbial metabolic networks in OMZs. Beyond OMZ-specific predictions, model results indicate that geochemical fluxes are robust indicators of microbial community structure and reciprocally, that gene abundances and geochemical conditions largely determine gene expression patterns. The integration of real observational data, including geochemical profiles and process rate measurements as well as metagenomic, metatranscriptomic and metaproteomic sequence data, into a biogeochemical model, as shown here, enables holistic insight into the microbial metabolic network driving nutrient and energy flow at ecosystem scales.

Entities:  

Keywords:  biogeochemical; gene-centric model; metagenomics; metaproteomics; metatranscriptomics

Mesh:

Substances:

Year:  2016        PMID: 27655888      PMCID: PMC5056048          DOI: 10.1073/pnas.1602897113

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  47 in total

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Authors:  Dimitry Y Sorokin; Mirjam Foti; Holly C Pinkart; Gerard Muyzer
Journal:  Appl Environ Microbiol       Date:  2006-11-17       Impact factor: 4.792

Review 2.  Microbial ecology of expanding oxygen minimum zones.

Authors:  Jody J Wright; Kishori M Konwar; Steven J Hallam
Journal:  Nat Rev Microbiol       Date:  2012-05-14       Impact factor: 60.633

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Authors:  Paul G Falkowski; Tom Fenchel; Edward F Delong
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Review 4.  Sizing up metatranscriptomics.

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Journal:  ISME J       Date:  2012-08-30       Impact factor: 10.302

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Authors:  Sarah A Munro; Steven P Lund; P Scott Pine; Hans Binder; Djork-Arné Clevert; Ana Conesa; Joaquin Dopazo; Mario Fasold; Sepp Hochreiter; Huixiao Hong; Nadereh Jafari; David P Kreil; Paweł P Łabaj; Sheng Li; Yang Liao; Simon M Lin; Joseph Meehan; Christopher E Mason; Javier Santoyo-Lopez; Robert A Setterquist; Leming Shi; Wei Shi; Gordon K Smyth; Nancy Stralis-Pavese; Zhenqiang Su; Weida Tong; Charles Wang; Jian Wang; Joshua Xu; Zhan Ye; Yong Yang; Ying Yu; Marc Salit
Journal:  Nat Commun       Date:  2014-09-25       Impact factor: 14.919

6.  Synthesis of immediate upshift (Iup) proteins during recovery of marine Vibrio sp. strain S14 subjected to long-term carbon starvation.

Authors:  R Marouga; S Kjelleberg
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7.  Recovery from nutrient starvation by a marine Vibrio sp.

Authors:  P S Amy; C Pauling; R Y Morita
Journal:  Appl Environ Microbiol       Date:  1983-05       Impact factor: 4.792

Review 8.  Prokaryotes: the unseen majority.

Authors:  W B Whitman; D C Coleman; W J Wiebe
Journal:  Proc Natl Acad Sci U S A       Date:  1998-06-09       Impact factor: 11.205

9.  Tax4Fun: predicting functional profiles from metagenomic 16S rRNA data.

Authors:  Kathrin P Aßhauer; Bernd Wemheuer; Rolf Daniel; Peter Meinicke
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10.  Natural bacterial communities serve as quantitative geochemical biosensors.

Authors:  Mark B Smith; Andrea M Rocha; Chris S Smillie; Scott W Olesen; Charles Paradis; Liyou Wu; James H Campbell; Julian L Fortney; Tonia L Mehlhorn; Kenneth A Lowe; Jennifer E Earles; Jana Phillips; Steve M Techtmann; Dominique C Joyner; Dwayne A Elias; Kathryn L Bailey; Richard A Hurt; Sarah P Preheim; Matthew C Sanders; Joy Yang; Marcella A Mueller; Scott Brooks; David B Watson; Ping Zhang; Zhili He; Eric A Dubinsky; Paul D Adams; Adam P Arkin; Matthew W Fields; Jizhong Zhou; Eric J Alm; Terry C Hazen
Journal:  MBio       Date:  2015-05-12       Impact factor: 7.867

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  18 in total

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Authors:  Stilianos Louca; Mary I Scranton; Gordon T Taylor; Yrene M Astor; Sean A Crowe; Michael Doebeli
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2.  Short-Term Transcriptional Response of Microbial Communities to Nitrogen Fertilization in a Pine Forest Soil.

Authors:  Michaeline B N Albright; Renee Johansen; Deanna Lopez; La Verne Gallegos-Graves; Blaire Steven; Cheryl R Kuske; John Dunbar
Journal:  Appl Environ Microbiol       Date:  2018-07-17       Impact factor: 4.792

3.  Linking Genes to Microbial Biogeochemical Cycling: Lessons from Arsenic.

Authors:  Yong-Guan Zhu; Xi-Mei Xue; Andreas Kappler; Barry P Rosen; Andrew A Meharg
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4.  Integrating Genome-Resolved Metagenomics with Trait-Based Process Modeling to Determine Biokinetics of Distinct Nitrifying Communities within Activated Sludge.

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Review 5.  The microbiomes of deep-sea hydrothermal vents: distributed globally, shaped locally.

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Journal:  Nat Rev Microbiol       Date:  2019-05       Impact factor: 60.633

Review 6.  From Genes to Ecosystems in Microbiology: Modeling Approaches and the Importance of Individuality.

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Journal:  Front Microbiol       Date:  2017-11-27       Impact factor: 5.640

7.  Genomic features of bacterial adaptation to plants.

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Journal:  Nat Genet       Date:  2017-12-18       Impact factor: 38.330

8.  Towards omics-based predictions of planktonic functional composition from environmental data.

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Journal:  Nat Commun       Date:  2021-07-16       Impact factor: 14.919

9.  Does It Pay Off to Explicitly Link Functional Gene Expression to Denitrification Rates in Reaction Models?

Authors:  Anna Störiko; Holger Pagel; Adrian Mellage; Olaf A Cirpka
Journal:  Front Microbiol       Date:  2021-06-18       Impact factor: 5.640

10.  Oxygen minimum zone cryptic sulfur cycling sustained by offshore transport of key sulfur oxidizing bacteria.

Authors:  Cameron M Callbeck; Gaute Lavik; Timothy G Ferdelman; Bernhard Fuchs; Harald R Gruber-Vodicka; Philipp F Hach; Sten Littmann; Niels J Schoffelen; Tim Kalvelage; Sören Thomsen; Harald Schunck; Carolin R Löscher; Ruth A Schmitz; Marcel M M Kuypers
Journal:  Nat Commun       Date:  2018-04-30       Impact factor: 14.919

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