Evidence map›Paper›PMID 29460958›Full record

ArticleBiotechnology and bioengineering2018

Harnessing a methane-fueled, sediment-free mixed microbial community for utilization of distributed sources of natural gas.

Jeffrey J Marlow, Amit Kumar, Brandon C Enalls, Linda M Reynard, Noreen Tuross, Gregory Stephanopoulos, Peter Girguis

Open access · hybridAbstract read
In one paragraph

Article in Biotechnology and bioengineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Jeffrey J MarlowDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts.
Amit KumarDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts.
Brandon C EnallsDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts.ORCID 0000-0002-5228-1153
Linda M ReynardDepartment of Human Evolutionary Biology, Harvard University, Cambridge, Massachusetts.
Noreen TurossDepartment of Human Evolutionary Biology, Harvard University, Cambridge, Massachusetts.
Gregory StephanopoulosDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts.
Peter GirguisDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts.
Harvard University · USMassachusetts Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Harnessing the metabolic potential of uncultured microbial communities is a compelling opportunity for the biotechnology industry, an approach that would vastly expand the portfolio of usable feedstocks. Methane is particularly promising because it is abundant and energy-rich, yet the most efficient methane-activating metabolic pathways involve mixed communities of anaerobic methanotrophic archaea and sulfate reducing bacteria. These communities oxidize methane at high catabolic efficiency and produce chemically reduced by-products at a comparable rate and in near-stoichiometric proportion to methane consumption. These reduced compounds can be used for feedstock and downstream chemical production, and at the production rates observed in situ they are an appealing, cost-effective prospect. Notably, the microbial constituents responsible for this bioconversion are most prominent in select deep-sea sediments, and while they can be kept active at surface pressures, they have not yet been cultured in the lab. In an industrial capacity, deep-sea sediments could be periodically recovered and replenished, but the associated technical challenges and substantial costs make this an untenable approach for full-scale operations. In this study, we present a novel method for incorporating methanotrophic communities into bioindustrial processes through abstraction onto low mass, easily transportable carbon cloth artificial substrates. Using Gulf of Mexico methane seep sediment as inoculum, optimal physicochemical parameters were established for methane-oxidizing, sulfide-generating mesocosm incubations. Metabolic activity required >∼40% seawater salinity, peaking at 100% salinity and 35 °C. Microbial communities were successfully transferred to a carbon cloth substrate, and rates of methane-dependent sulfide production increased more than threefold per unit volume. Phylogenetic analyses indicated that carbon cloth-based communities were substantially streamlined and were dominated by Desulfotomaculum geothermicum. Fluorescence in situ hybridization microscopy with carbon cloth fibers revealed a novel spatial arrangement of anaerobic methanotrophs and sulfate reducing bacteria suggestive of an electronic coupling enabled by the artificial substrate. This system: 1) enables a more targeted manipulation of methane-activating microbial communities using a low-mass and sediment-free substrate; 2) holds promise for the simultaneous consumption of a strong greenhouse gas and the generation of usable downstream products; and 3) furthers the broader adoption of uncultured, mixed microbial communities for biotechnological use.

Indexed as

MicrobiotaAnaerobiosisArchaeaBiotransformationChemical PhenomenaGeologic SedimentsGulf of AmericaMethaneNatural GasOxidation-ReductionSalinitySulfidesSulfur-Reducing BacteriaTemperatureMethaneNatural GasSulfidesanaerobic oxidation of methanebiofuel productioncarbon cloth artificial substrategreenhouse gas mitigation

Identifiers

PMID29460958
PMCPMC5947824
OpenAlexW2793497870

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.