Evidence map›Paper›PMID 26588475›Full record

ArticleBioengineered2015

Genetic engineering of Ganoderma lucidum for the efficient production of ganoderic acids.

Jun-Wei Xu, Jian-Jiang Zhong

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. Blue Light Receptor WC-2 Regulates Ganoderic Acid Biosynthesis inJournal of fungi (Basel, Switzerland) · 2025
    Article
  3. Review
  4. Article
  5. Breeding a newFrontiers in microbiology · 2024
    Article
  6. Article
  7. A Novel Strain Breeding ofFoods (Basel, Switzerland) · 2023
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

2 authors.

Jun-Wei Xua Faculty of Life Science and Technology; Kunming University of Science and Technology ; Kunming , China.
Jian-Jiang Zhongb State Key Lab. of Microbial Metabolism; Joint International Research Laboratory of Metabolic & Developmental Sciences and School of Life Sciences & Biotechnology; Shanghai Jiao Tong University ; Shanghai , China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ganoderma lucidum is a well-known traditional medicinal mushroom that produces ganoderic acids with numerous interesting bioactivities. Genetic engineering is an efficient approach to improve ganoderic acid biosynthesis. However, reliable genetic transformation methods and appropriate genetic manipulation strategies remain underdeveloped and thus should be enhanced. We previously established a homologous genetic transformation method for G. lucidum; we also applied the established method to perform the deregulated overexpression of a homologous 3-hydroxy-3-methyl-glutaryl coenzyme A reductase gene in G. lucidum. Engineered strains accumulated more ganoderic acids than wild-type strains. In this report, the genetic transformation systems of G. lucidum are described; current trends are also presented to improve ganoderic acid production through the genetic manipulation of G. lucidum.

Indexed as

Fungal ProteinsGenes, FungalGenetic EngineeringHydroxymethylglutaryl CoA ReductasesMedicine, Chinese TraditionalMetabolic EngineeringReishiTransformation, GeneticTriterpenesUp-RegulationFungal Proteinsganoderic acidHydroxymethylglutaryl CoA ReductasesTriterpenesganoderic acid productionGanoderm lucidumgenetic engineeringgenetic transformationmedicinal mushroom

Identifiers

PMID26588475
PMCPMC4825833

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.