Evidence map›Paper›PMID 27655888›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

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

Stilianos Louca, Alyse K Hawley, Sergei Katsev, Monica Torres-Beltran, Maya P Bhatia, Sam Kheirandish, Céline C Michiels, David Capelle, Gaute Lavik, Michael Doebeli and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
12.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 119 citations in OpenAlex.

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  8. Constraining the oxygen requirements for modern microbial eukaryote diversity.Proceedings of the National Academy of Sciences of the United States of America · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 3 countries.

Stilianos LoucaInstitute of Applied Mathematics, University of British Columbia, Vancouver, BC, Canada V6T1Z2.ORCID 0000-0001-9216-5619
Alyse K HawleyDepartment of Microbiology and Immunology, University of British Columbia, Vancouver, BC, Canada V6T1Z3.
Sergei KatsevLarge Lakes Observatory, University of Minnesota Duluth, Duluth, MN 55812; Department of Physics and Astronomy, University of Minnesota Duluth, Duluth, MN 55812.
Monica Torres-BeltranDepartment of Microbiology and Immunology, University of British Columbia, Vancouver, BC, Canada V6T1Z3.
Maya P BhatiaDepartment of Microbiology and Immunology, University of British Columbia, Vancouver, BC, Canada V6T1Z3; Canadian Institute for Advanced Research Program in Integrated Microbial Biodiversity, Canadian Institute for Advanced Research, Toronto, ON, Canada M5G1Z8.
Sam KheirandishDepartment of Microbiology and Immunology, University of British Columbia, Vancouver, BC, Canada V6T1Z3.
Céline C MichielsDepartment of Microbiology and Immunology, University of British Columbia, Vancouver, BC, Canada V6T1Z3.
David CapelleDepartment of Earth, Ocean, and Atmospheric Sciences, University of British Columbia, Vancouver, BC, Canada V6T1Z4.
Gaute LavikBiogeochemistry Group, Max Planck Institute for Marine Microbiology, Bremen D-28359, Germany.
Michael DoebeliDepartment of Zoology, University of British Columbia, Vancouver, BC, Canada V6T1Z4; Department of Mathematics, University of British Columbia, Vancouver, BC, Canada V6T1Z4.
Sean A CroweDepartment of Microbiology and Immunology, University of British Columbia, Vancouver, BC, Canada V6T1Z3; Department of Earth, Ocean, and Atmospheric Sciences, University of British Columbia, Vancouver, BC, Canada V6T1Z4; Ecosystem Services, Commercialization Platforms, and Entrepreneurship (ECOSCOPE) Training Program, University of British Columbia, Vancouver, BC, Canada V6T1Z3; sean.crowe@ubc.ca shallam@mail.ubc.ca.
Steven J HallamDepartment of Microbiology and Immunology, University of British Columbia, Vancouver, BC, Canada V6T1Z3; Canadian Institute for Advanced Research Program in Integrated Microbial Biodiversity, Canadian Institute for Advanced Research, Toronto, ON, Canada M5G1Z8; Ecosystem Services, Commercialization Platforms, and Entrepreneurship (ECOSCOPE) Training Program, University of British Columbia, Vancouver, BC, Canada V6T1Z3; Graduate Program in Bioinformatics, University of British Columbia, Vancouver, BC, Canada V6T1Z3; Peter Wall Institute for Advanced Studies, University of British Columbia, Vancouver, BC, Canada V6T1Z2 sean.crowe@ubc.ca shallam@mail.ubc.ca.
University of British Columbia · CACanadian Institute for Advanced Research · CAMax Planck Institute for Marine Microbiology · DEUniversity of Minnesota, Duluth · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Base SequenceCalibrationDNAGenomicsMetabolic Networks and PathwaysOxygenRNA, MessengerTime FactorsDNAOxygenRNA, Messengerbiogeochemicalgene-centric modelmetagenomicsmetaproteomicsmetatranscriptomics

Identifiers

PMID27655888
PMCPMC5056048
OpenAlexW2522918942

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.