Evidence map›Paper›PMID 27448996›Full record

ArticleBMC microbiology2016

Investigation of availability of a high throughput screening method for predicting butanol solvent -producing ability of Clostridium beijerinckii.

HaiFeng Su, Jun Zhu, Gang Liu, Furong Tan

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2016. 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
0.2field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  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

4 authors at 3 institutions in 1 country.

HaiFeng SuEnviromentally-Begnin Chemical Process Research Center, Division of Ecological & Enviromental Research on the Three Gorges, Chongqing Institute of Green and Interligent Technology, Chinese Academy of Science, Beijing, China.
Jun ZhuRice Research Institute, Sichuan Agricultural University, 611130, Wenjiang, Sichuan, China.
Gang LiuSichuan Academy of Grassland Science, Xipu Chengdu, 611731, Sichuan, Peoples Republic of China. 350903876@qq.com.
Furong TanBiogas Institute of Ministry of Agriculture, Chengdu, 610041, Sichuan, Peoples Republic of China. furong987@126.com.
Biogas Institute of Ministry of Agriculture · CNChongqing Institute of Green and Intelligent Technology · CNSichuan Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrently, efficient screening methods for selection of desired bacterial phenotypes from large populations are not easy feasible or readily available due to the complicated physiological and metabolic networks of solventogenic clostridia. In this study, to contribute to the improvement of methods for predicting the butanol-producing ability of Clostridium beijerinckii based on starch substrate, we further investigate a simple, visualization screening method for selecting target strains from mutant library of Clostridium beijerinckii NCIMB 8052 by using trypan blue dye as an indicator in solid starch via statistical survey and validation of fermentation experiment with controlling pH.

resultsTo verify an effective, efficient phenotypic screening method for isolating high butanol-producing mutants, the revalidation process was conducted based on Trypan Blue was used for visualization, and starch was used as the bacterial metabolic substrate. The availability of the screening system was further evaluated based on the relationship between characteristics of mutant strains and their α-amylase activities. Mutant clones were analyzed in detail based on their distinctive growth patterns and rate of fermentation of soluble starch to form butanol and were compared by statistical method. Significant correlations were identified between colony morphology and changes in butanol concentrations. The screening method was validated via statistical analysis for characterizing phenotypic parameters. The fermentation experiment of mutant strains with controlling pH value also demonstrated a positive correlation between increased α-amylase activity and increased solvent production by Clostridium beijerinckii was observed, and therefore indicated that the trypan blue dyeing method can be used as a fast method to screen target mutant strain for better solvent producers from, for instance, a mutant library.

conclusionsThe suitability of the novel screening procedure was validated, opening up a new indicator of approach to select mutant solventogenic clostridia with improved fermentation of starch to increase butanol concentrations. The applicability can easily be broadened to a wide range of interesting microbes such as cellulolytic or acetogenic microorganisms, which produce biofuels from feedstock rich in starch.

Indexed as

alpha-AmylasesBiofuelsButanolsClostridium beijerinckiiEnzyme ActivationEnzyme AssaysFermentationHigh-Throughput Screening AssaysHydrogen-Ion ConcentrationMetabolic Networks and PathwaysMutagenesisMutationPhenotypeSolventsStarchalpha-AmylasesBiofuelsButanolsSolventsStarchButanolClostridium beijerinckiiScreeningStarchTrypan blue dye

Identifiers

PMID27448996
PMCPMC4957875
OpenAlexW2507020314

What OpenQuestion holds

Textmetadata
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.