Evidence map›Paper›PMID 25625436›Full record

ArticleBioengineered2015

Engineering Ashbya gossypii for efficient biolipid production.

Rodrigo Ledesma-Amaro, Patricia Lozano-Martínez, Alberto Jiménez, José Luis Revuelta

Abstract read
In one paragraph

Article in Bioengineered, 2015. 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
–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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. New Promoters for Metabolic Engineering ofJournal of fungi (Basel, Switzerland) · 2021
    Article
  5. Article
  6. Review
  7. Sporulation inJournal of fungi (Basel, Switzerland) · 2020
    Review
  8. Article
  9. Review
  10. Review
  11. Bioproduction of riboflavin: a bright yellow history.Journal of industrial microbiology & biotechnology · 2017
    Review
  12. Article
  13. Integrating Cellular and Bioprocess Engineering in the Non-Conventional YeastFrontiers in bioengineering and biotechnology · 2017
    Review
  14. Utilization of xylose by engineered strains ofBiotechnology for biofuels · 2017
    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.

Rodrigo Ledesma-Amaroa Departamento de Microbiología y Genética; Universidad de Salamanca ; Campus Miguel de Unamuno ; Salamanca , Spain.
Patricia Lozano-Martínez
Alberto Jiménez
José Luis Revuelta

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ashbya gossypii is a filamentous fungus that naturally overproduces riboflavin. Indeed, engineered strains are currently used for the industrial production of riboflavin, replacing the chemical synthesis processes formerly used. The utilization of A. gossypii for biotechnological applications affords significant advantages that involve low-cost media use and cheap downstream processing for some applications. Although A. gossypii cannot be considered a bona fide oleaginous microorganism, the accumulation of lipid droplets within hyphae has been described. In view of the genomic and molecular tools available for its manipulation, the metabolism of A. gossypii was engineered aiming to increase total lipid accumulation. Blocking the β-oxidation pathway through the knock-out of the AgPOX1 gene was sufficient to obtain strains with high lipid yields, comparable to those of the best oleaginous microorganisms. Thus, the poxΔ strain of A. gossypii constitutes a novel promising tool for the production of microbial oils in forthcoming modified A. gossypii strains.

Indexed as

BiofuelsBiotechnologyEremotheciumLipidsBiofuelsLipidsAshbya gossypiibiodieselbiolipidsmetabolic engineeringmicrobial oilsingle-cell oil

Identifiers

PMID25625436
PMCPMC4601342

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.