Evidence map›Paper›PMID 40590991›Full record

ReviewArchives of microbiology2025

Regulation and induction of fungal secondary metabolites: a comprehensive review.

Shaurya Prakash, Hemlata Kumari, Minakshi Sinha, Antresh Kumar

Abstract readReview
PubMed Publisher
In one paragraph

Review in Archives of microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Ibotenic Acid and Muscimol inMolecules (Basel, Switzerland) · 2026
    Review
  2. Article
  3. 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.

Shaurya PrakashDepartment of Biochemistry, Central University of Haryana, Mahendragarh, Haryana, 123031, India.
Hemlata KumariDepartment of Biochemistry, Central University of Haryana, Mahendragarh, Haryana, 123031, India.
Minakshi SinhaDepartment of Biochemistry, Central University of Haryana, Mahendragarh, Haryana, 123031, India.
Antresh KumarDepartment of Biochemistry, Central University of Haryana, Mahendragarh, Haryana, 123031, India. antreshkumar@cuh.ac.in.ORCID http://orcid.org/0000-0003-0932-6296

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fungal secondary metabolites (SMs) represent a vast reservoir of bioactive compounds with immense therapeutic, agricultural, and industrial potential. These small molecules, including antibiotics, immunosuppressants, and anticancer agents, are synthesized through dedicated biosynthetic gene clusters (BGCs) regulated by various epigenetic, transcriptional, and environmental mechanisms. However, their cryptic biosynthesis and low natural yields pose significant challenges for large-scale production. This review comprehensively analyzes the regulatory landscape governing fungal SMs biosynthesis, advanced OMICS-driven approaches for identification of cryptic BGCs, and significantly emphasizes strategies to enhance SMs production. Furthermore, the integration of statistical and computational models (e.g., response surface methodology, artificial neural networks) is discussed for optimizing fermentation processes. The review underscores the diverse applications of fungal SMs in pharmaceuticals, agriculture, and cosmetics, while advocating for interdisciplinary innovations in synthetic biology and AI-driven metabolic engineering to sustainably harness fungal biodiversity.

Indexed as

FungiGene Expression Regulation, FungalSecondary MetabolismBiosynthetic PathwaysMetabolic EngineeringMultigene FamilyBiosynthetic gene clustersFungiOMICSOptimizationSecondary metabolites

Identifiers

PMID40590991

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.