Evidence map›Paper›PMID 32016659›Full record

ArticleAMB Express2020

Utilization of mechanocatalytic oligosaccharides by ethanologenic Escherichia coli as a model microbial cell factory.

Tao Jin, Mats Käldström, Adriana Benavides, Marcelo D Kaufman Rechulski, Laura R Jarboe

Abstract read
In one paragraph

Article in AMB Express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Tao JinDepartment of Chemical and Biological Engineering, Iowa State University, 4134 Biorenewables Research Laboratory, 617 Bissell Rd, Ames, IA, USA.
Mats KäldströmDepartment of Heterogeneous Catalysis, Max-Planck-Institut für Kohlenforschung, Mulheim an der Ruhr, Germany.
Adriana BenavidesDepartment of Chemical and Biological Engineering, Iowa State University, 4134 Biorenewables Research Laboratory, 617 Bissell Rd, Ames, IA, USA.
Marcelo D Kaufman RechulskiDepartment of Heterogeneous Catalysis, Max-Planck-Institut für Kohlenforschung, Mulheim an der Ruhr, Germany.
Laura R JarboeDepartment of Chemical and Biological Engineering, Iowa State University, 4134 Biorenewables Research Laboratory, 617 Bissell Rd, Ames, IA, USA. ljarboe@iastate.edu.ORCID http://orcid.org/0000-0002-4294-4347

Funding

Division of Chemical, Bioengineering, Environmental, and Transport Systems CBET-1133319Iowa Energy Center 12-06National Science Foundation EEC-1156933
6 · The paper itself

Abstract

Mechanocatalysis is a promising method for depolymerization of lignocellulosic biomass. Microbial utilization of the resulting oligosaccharides is one potential route of adding value to the depolymerized biomass. However, it is unclear how readily these oligosaccharides are utilized by standard cell factories. Here, we investigate utilization of cellulose subjected to mechanocatalytic depolymerization, using ethanologenic Escherichia coli as a model fermentation organism. The mechanocatalytic oligosaccharides supported ethanol titers similar to those observed when glucose was provided at comparable concentrations. Tracking of the various oligomers, using maltose (alpha-1,4) and cellobiose (beta-1,4) oligomers as representative standards of the orientation, but not linkage, of the glycosidic bond, suggests that the malto-like-oligomers are more readily utilized than cello-like-oligomers, consistent with poor growth with cellotetraose or cellopentaose as sole carbon source. Thus, mechanocatalytic oligosaccharides are a promising substrate for cell factories, and microbial utilization of these sugars could possibly be improved by addressing utilization of cello-like oligomers.

Indexed as

BiofuelsColiFermentationMechanocatalyticOligosaccharides

Identifiers

PMID32016659
PMCPMC6997310

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Registered trials

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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.