Evidence map›Paper›PMID 38528784›Full record

ArticleMicrobial biotechnology2024

Pseudomonas putida as a platform for medium-chain length α,ω-diol production: Opportunities and challenges.

Chunzhe Lu, Rene H Wijffels, Vitor A P Martins Dos Santos, Ruud A Weusthuis

Open access · goldAbstract read
In one paragraph

Article in Microbial biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Metabolic engineering ofFrontiers in bioengineering and biotechnology · 2025
    Article
  5. 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 4 institutions in 3 countries.

Chunzhe LuBioprocess Engineering, Wageningen University & Research, Wageningen, The Netherlands.ORCID 0000-0002-9453-4550
Rene H WijffelsBioprocess Engineering, Wageningen University & Research, Wageningen, The Netherlands.ORCID 0000-0001-7630-4295
Vitor A P Martins Dos SantosBioprocess Engineering, Wageningen University & Research, Wageningen, The Netherlands.ORCID 0000-0002-2352-9017
Ruud A WeusthuisBioprocess Engineering, Wageningen University & Research, Wageningen, The Netherlands.ORCID 0000-0001-6452-5701
LifeGlimmer (Germany) · DENord University · NOUniversity of Groningen · NLWageningen University & Research · NL

Funding

Chinese Scholarship Council stipend
6 · The paper itself

Abstract

Medium-chain-length α,ω-diols (mcl-diols) play an important role in polymer production, traditionally depending on energy-intensive chemical processes. Microbial cell factories offer an alternative, but conventional strains like Escherichia coli and Saccharomyces cerevisiae face challenges in mcl-diol production due to the toxicity of intermediates such as alcohols and acids. Metabolic engineering and synthetic biology enable the engineering of non-model strains for such purposes with P. putida emerging as a promising microbial platform. This study reviews the advancement in diol production using P. putida and proposes a four-module approach for the sustainable production of diols. Despite progress, challenges persist, and this study discusses current obstacles and future opportunities for leveraging P. putida as a microbial cell factory for mcl-diol production. Furthermore, this study highlights the potential of using P. putida as an efficient chassis for diol synthesis.

Indexed as

PolyhydroxyalkanoatesPseudomonas putidaEscherichia coliMetabolic EngineeringSynthetic BiologyPolyhydroxyalkanoates

Identifiers

PMID38528784
PMCPMC10963910
OpenAlexW4393196324

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.