Evidence map›Paper›PMID 32189046›Full record

ArticleApplied microbiology and biotechnology2020

Genomic, transcriptomic, and metabolic characterizations of Escherichia coli adapted to branched-chain higher alcohol tolerance.

Baowei Wang, Yufeng Guo, Zixiang Xu, Ran Tu, Qinhong Wang

Abstract read
PubMed Publisher
In one paragraph

Article in Applied microbiology and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Systematically Engineering for Efficient Production of 3-Methyl-1-Butanol in Escherichia coli.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Article
  3. Review
  4. Review
  5. Recent progress in adaptive laboratory evolution of industrial microorganisms.Journal of industrial microbiology & biotechnology · 2023
    Article
  6. Production of (2Synthetic and systems biotechnology · 2022
    Article
  7. Review
  8. Review
  9. CRISPR-Cas9/CRISPRi tools for cell factory construction in E. coli.World journal of microbiology & biotechnology · 2020
    Review
  10. Synthetic Biology and Metabolic Engineering EmployingFrontiers in bioengineering and biotechnology · 2020
    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

5 authors at 2 institutions in 1 country.

Baowei WangKey Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, People's Republic of China.
Yufeng GuoKey Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, People's Republic of China.
Zixiang XuKey Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, People's Republic of China.
Ran TuKey Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, People's Republic of China.
Qinhong WangKey Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, People's Republic of China. wang_qh@tib.cas.cn.
Chinese Academy of Sciences · CNTianjin Institute of Industrial Biotechnology · CN

Funding

National Basic Research Program of China (973 Program) 2011CBA00800National Knowledge Innovation Project of the Chinese Academy of Sciences KSCX2-EW-G-14
6 · The paper itself

Abstract

Microbial-produced branched-chain higher alcohols (BCHAs), such as isopropanol, isobutanol, and isopentanol in Escherichia coli, have emerged as promising alternative biofuels under development. Elucidating and improving the tolerance of E. coli to BCHAs are important issues for microbial production of BCHAs due to their physiological inhibitory effect. Previous works aimed at understanding the genetic basis of E. coli tolerance to BCHAs with a comparative genome, reverse engineering, or transcriptome approach have gained some important insights into the mechanism of tolerance. However, investigation on BCHA tolerance from the whole-genomic, transcriptomic, and metabolic levels via a systematic approach has not yet been completely elucidated. Here, in this study, genomic, transcriptomic, and

Indexed as

Adaptation, PhysiologicalTranscriptomeButanolsEnergy MetabolismEscherichia coliEscherichia coli ProteinsGene Expression Regulation, BacterialGenome, BacterialGenomicsMetabolic EngineeringMetabolic Flux AnalysisMutationButanolsEscherichia coli Proteinsisobutyl alcohol13C-MFABranched-chain higher alcoholsEscherichia coliGenomicToleranceTranscriptomic

Identifiers

PMID32189046
OpenAlexW3012511153

What OpenQuestion holds

Textmetadata
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.