Evidence map›Paper›PMID 25566227›Full record

ReviewFrontiers in microbiology2014

Recent advances in genome mining of secondary metabolites in Aspergillus terreus.

Chun-Jun Guo, Clay C C Wang

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Genomic Analysis ofJournal of fungi (Basel, Switzerland) · 2024
    Article
  6. Article
  7. Bioprospecting ofFrontiers in microbiology · 2024
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Genomic Analysis and Antimicrobial Components of M7, anJournal of fungi (Basel, Switzerland) · 2022
    Article
  14. Characterization of a NRPS-like Protein fromJournal of fungi (Basel, Switzerland) · 2022
    Article
  15. Article
  16. Article
  17. Diversity ofJournal of fungi (Basel, Switzerland) · 2022
    Article
  18. EditingSynthetic biology (Oxford, England) · 2022
    Article
  19. Review
  20. 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.

Chun-Jun GuoDepartment of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Southern California Los Angeles, CA, USA.
Clay C C WangDepartment of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Southern California Los Angeles, CA, USA ; Department of Chemistry, College of Letters, Arts, and Sciences, University of Southern California Los Angeles, CA, USA.

Funding

Molecular Genetic Mining of the Aspergillus Nidulans Secondary MetabolomeP01GM084077 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI OAKLEY, BERL RAY · 2008 to 2012
$5.4M
NIGMS NIH HHS P01 GM084077
6 · The paper itself

Abstract

Filamentous fungi are rich resources of secondary metabolites (SMs) with a variety of interesting biological activities. Recent advances in genome sequencing and techniques in genetic manipulation have enabled researchers to study the biosynthetic genes of these SMs. Aspergillus terreus is the well-known producer of lovastatin, a cholesterol-lowering drug. This fungus also produces other SMs, including acetylaranotin, butyrolactones, and territram, with interesting bioactivities. This review will cover recent progress in genome mining of SMs identified in this fungus. The identification and characterization of the gene cluster for these SMs, as well as the proposed biosynthetic pathways, will be discussed in depth.

Indexed as

Aspergillus terreusgenome miningnatural productssecondary metabolites

Identifiers

PMID25566227
PMCPMC4274970

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.