Evidence map›Paper›PMID 24367356›Full record

ArticleFrontiers in microbiology2013

High throughput nanostructure-initiator mass spectrometry screening of microbial growth conditions for maximal β-glucosidase production.

Xiaoliang Cheng, Jennifer Hiras, Kai Deng, Benjamin Bowen, Blake A Simmons, Paul D Adams, Steven W Singer, Trent R Northen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2013. 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
1.6field-weighted citation impact, top 18% 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, 12 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

8 authors at 2 institutions in 1 country.

Xiaoliang Cheng1Technology Division, Joint BioEnergy Institute Emeryville, CA, USA ; 2Department of Bioenergy/GTL & Structural Biology, Life Sciences Division, Lawrence Berkeley National Laboratory Berkeley, CA, USA.
Jennifer Hiras3Deconstruction Division, Joint BioEnergy Institute Emeryville, CA, USA ; 4Physical Biosciences Division, Lawrence Berkeley National Laboratory Berkeley, CA, USA.
Kai Deng1Technology Division, Joint BioEnergy Institute Emeryville, CA, USA ; 5Biological and Materials Science Center, Sandia National Laboratories Livermore, CA, USA.
Benjamin Bowen2Department of Bioenergy/GTL & Structural Biology, Life Sciences Division, Lawrence Berkeley National Laboratory Berkeley, CA, USA.
Blake A Simmons3Deconstruction Division, Joint BioEnergy Institute Emeryville, CA, USA ; 5Biological and Materials Science Center, Sandia National Laboratories Livermore, CA, USA.
Paul D Adams1Technology Division, Joint BioEnergy Institute Emeryville, CA, USA ; 4Physical Biosciences Division, Lawrence Berkeley National Laboratory Berkeley, CA, USA.
Steven W Singer3Deconstruction Division, Joint BioEnergy Institute Emeryville, CA, USA ; 6Department of Geochemistry, Earth Sciences Division, Lawrence Berkeley National Laboratory Berkeley, CA, USA ; 7Department of Ecology, Earth Sciences Division, Lawrence Berkeley National Laboratory Berkeley, CA, USA.
Trent R Northen1Technology Division, Joint BioEnergy Institute Emeryville, CA, USA ; 2Department of Bioenergy/GTL & Structural Biology, Life Sciences Division, Lawrence Berkeley National Laboratory Berkeley, CA, USA.
Joint BioEnergy Institute · USLawrence Berkeley National Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Production of biofuels via enzymatic hydrolysis of complex plant polysaccharides is a subject of intense global interest. Microbial communities are known to express a wide range of enzymes necessary for the saccharification of lignocellulosic feedstocks and serve as a powerful reservoir for enzyme discovery. However, the growth temperature and conditions that yield high cellulase activity vary widely, and the throughput to identify optimal conditions has been limited by the slow handling and conventional analysis. A rapid method that uses small volumes of isolate culture to resolve specific enzyme activity is needed. In this work, a high throughput nanostructure-initiator mass spectrometry (NIMS)-based approach was developed for screening a thermophilic cellulolytic actinomycete, Thermobispora bispora, for β-glucosidase production under various growth conditions. Media that produced high β-glucosidase activity were found to be I/S + glucose or microcrystalline cellulose (MCC), Medium 84 + rolled oats, and M9TE + MCC at 45°C. Supernatants of cell cultures grown in M9TE + 1% MCC cleaved 2.5 times more substrate at 45°C than at all other temperatures. While T. bispora is reported to grow optimally at 60°C in Medium 84 + rolled oats and M9TE + 1% MCC, approximately 40% more conversion was observed at 45°C. This high throughput NIMS approach may provide an important tool in discovery and characterization of enzymes from environmental microbes for industrial and biofuel applications.

Indexed as

enzymatic activity screeninghigh throughputmicrobial communitiesNIMSβ-glucosidase

Identifiers

PMID24367356
PMCPMC3854461
OpenAlexW1982747836

What OpenQuestion holds

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LicenceCC BY
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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.