Evidence map›Paper›PMID 21113642›Full record

ReviewJournal of industrial microbiology & biotechnology2011

Metabolically engineered Escherichia coli for biotechnological production of four-carbon 1,4-dicarboxylic acids.

Yujin Cao, Yugang Cao, Xiangzhi Lin

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of industrial microbiology & biotechnology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Improved succinate production by metabolic engineering.BioMed research international · 2013
    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

3 authors.

Yujin CaoThird Institute of Oceanography, State Oceanic Administration, Xiamen, 361000, China.
Yugang Cao
Xiangzhi Lin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Confronted with inescapable exhaustion of the earth's fossil energy resources, the bio-based process to produce industrial chemicals is receiving significant interest. Biotechnological production of four-carbon 1,4-dicarboxylic acids (C4 diacids) from renewable plant biomass is a promising and attractive alternative to conventional chemistry routes. Although the C4 diacids pathway is well characterized and microorganisms able to convert biomass to these acids have been isolated and described, much still has to be done to make this process economically feasible. Metabolically engineered Escherichia coli has been developed as a biocatalyst to provide new processes for the biosynthesis of many valuable chemicals. However, E. coli does not naturally produce C4 diacids in large quantities. Rational strain development by metabolic engineering based on efficient genetic tools and detailed knowledge of metabolic pathways are crucial to successful production of these compounds. This review summarizes recent efforts and experiences devoted to metabolic engineering of the industrial model bacteria E. coli that led to efficient recombinant biocatalysts for the production of C4 diacids, including succinate, fumarate, malate, oxaloacetate, and aspartate, as well as the key limitations and challenges. Continued advancements in metabolic engineering will help to improve the titers, yields, and productivities of the C4 diacids discussed here.

Indexed as

Industrial MicrobiologyBiomassCarbonDicarboxylic AcidsEscherichia coliGenetic EngineeringMalatesMetabolic Networks and PathwaysSuccinic AcidCarbonDicarboxylic AcidsMalatesmalic acidSuccinic Acid

Identifiers

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.