Evidence map›Paper›PMID 24705866›Full record

ArticlePloS one2014

Model-driven redox pathway manipulation for improved isobutanol production in Bacillus subtilis complemented with experimental validation and metabolic profiling analysis.

Haishan Qi, Shanshan Li, Sumin Zhao, Di Huang, Menglei Xia, Jianping Wen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

14 citing papers in PubMed, 34 citations in OpenAlex.

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  9. Biotechnology for biofuels · 2019
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  12. Enhancement of furan aldehydes conversion inBiotechnology for biofuels · 2017
    Article
  13. Article
  14. NADPH-generating systems in bacteria and archaea.Frontiers in microbiology · 2015
    Review
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

6 authors at 2 institutions in 1 country.

Haishan QiKey Laboratory of System Bioengineering, Ministry of Education, Tianjin University, Tianjin, People's Republic of China; Department of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, People's Republic of China.
Shanshan LiKey Laboratory of System Bioengineering, Ministry of Education, Tianjin University, Tianjin, People's Republic of China; Department of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, People's Republic of China.
Sumin ZhaoKey Laboratory of System Bioengineering, Ministry of Education, Tianjin University, Tianjin, People's Republic of China; Department of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, People's Republic of China.
Di HuangKey Laboratory of System Bioengineering, Ministry of Education, Tianjin University, Tianjin, People's Republic of China; Department of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, People's Republic of China.
Menglei XiaKey Laboratory of System Bioengineering, Ministry of Education, Tianjin University, Tianjin, People's Republic of China; Department of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, People's Republic of China.
Jianping WenKey Laboratory of System Bioengineering, Ministry of Education, Tianjin University, Tianjin, People's Republic of China; Department of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, People's Republic of China; Collaborative Innovation Center of Chemical Science and Engineering, Tianjin, People's Republic of China.
Tianjin University · CNCollaborative Innovation Center of Chemical Science and Engineering Tianjin · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To rationally guide the improvement of isobutanol production, metabolic network and metabolic profiling analysis were performed to provide global and profound insights into cell metabolism of isobutanol-producing Bacillus subtilis. The metabolic flux distribution of strains with different isobutanol production capacity (BSUL03, BSUL04 and BSUL05) drops a hint of the importance of NADPH on isobutanol biosynthesis. Therefore, the redox pathways were redesigned in this study. To increase NADPH concentration, glucose-6-phosphate isomerase was inactivated (BSUL06) and glucose-6-phosphate dehydrogenase was overexpressed (BSUL07) successively. As expected, NADPH pool size in BSUL07 was 4.4-fold higher than that in parental strain BSUL05. However, cell growth, isobutanol yield and production were decreased by 46%, 22%, and 80%, respectively. Metabolic profiling analysis suggested that the severely imbalanced redox status might be the primary reason. To solve this problem, gene udhA of Escherichia coli encoding transhydrogenase was further overexpressed (BSUL08), which not only well balanced the cellular ratio of NAD(P)H/NAD(P)+, but also increased NADH and ATP concentration. In addition, a straightforward engineering approach for improving NADPH concentrations was employed in BSUL05 by overexpressing exogenous gene pntAB and obtained BSUL09. The performance for isobutanol production by BSUL09 was poorer than BSUL08 but better than other engineered strains. Furthermore, in fed-batch fermentation the isobutanol production and yield of BSUL08 increased by 11% and 19%, up to the value of 6.12 g/L and 0.37 C-mol isobutanol/C-mol glucose (63% of the theoretical value), respectively, compared with parental strain BSUL05. These results demonstrated that model-driven complemented with metabolic profiling analysis could serve as a useful approach in the strain improvement for higher bio-productivity in further application.

Indexed as

BioreactorsBacillus subtilisBiosynthetic PathwaysButanolsEscherichia coliEscherichia coli ProteinsGene Expression Regulation, BacterialGlucose-6-Phosphate IsomeraseGlucosephosphate DehydrogenaseMetabolic Networks and PathwaysMetabolomeModels, BiologicalNADP TranshydrogenasesOligonucleotidesButanolsEscherichia coli ProteinsGlucose-6-Phosphate IsomeraseGlucosephosphate Dehydrogenaseisobutyl alcoholNADP TranshydrogenasesOligonucleotidespgi protein, E coli

Identifiers

PMID24705866
PMCPMC3976320
OpenAlexW2020234789

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.