Evidence map›Paper›PMID 42506256›Full record

ReviewJournal of fungi (Basel, Switzerland)2026

Untapped Mycobiota: A Scoping Review of Endophytic Fungi in Medicinal Plants from Malaysia.

Ling Yang, Chia Wei Phan, Yee Shin Tan, Jaya Seelan Sathiya Seelan

Abstract readReview
In one paragraph

Review in Journal of fungi (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ling YangDepartment of Pharmaceutical Life Sciences, Faculty of Pharmacy, Universiti Malaya, Kuala Lumpur 50603, Malaysia.
Chia Wei PhanDepartment of Pharmaceutical Life Sciences, Faculty of Pharmacy, Universiti Malaya, Kuala Lumpur 50603, Malaysia.ORCID 0000-0003-1373-1374
Yee Shin TanMushroom Research Centre, Universiti Malaya, Kuala Lumpur 50603, Malaysia.
Jaya Seelan Sathiya SeelanInstitute for Tropical Biology and Conservation, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu, Sabah 88400, Malaysia.ORCID 0000-0002-0045-6206

Funding

University of Malaya RUU2022-LL019
6 · The paper itself

Abstract

Endophytic fungi from Malaysian medicinal plants constitute a metabolically prolific yet underexplored reservoir for natural product discovery. This scoping review of 56 studies published between 2015 and 2025 identified a fundamental methodological divergence within the field: while phenotypic bioactivity screening dominates the literature (>87% of studies), it is weakly supported by chemical characterization (<25%) and entirely disconnected from genomic investigation (0% biosynthetic gene cluster studies). This phenotype-first paradigm has largely confined the field to descriptive reporting, limiting mechanistic understanding and translational potential. Collectively, the evidence reveals a substantial disconnect between reported bioactivities and their underlying biosynthetic foundations. To address this limitation, a practical genotype-to-phenotype workflow is proposed that integrates strain prioritisation, multi-omics-guided activation, chemical mapping, and mechanism-oriented validation. By linking genomic potential with metabolite production and biological function, this framework provides a roadmap for advancing fungal natural product discovery beyond conventional phenotype-driven screening. Adoption of such approaches may improve the identification of chemically novel and biologically relevant metabolites while supporting the sustainable development of Malaysia's endophytic fungal resources for biotechnological and pharmaceutical applications.

Indexed as

bioactivity screeningendophytic fungiMalaysiamedicinal plantssecondary metabolitestaxonomic diversity

Identifiers

PMID42506256
PMCPMC13412894

What OpenQuestion holds

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Registered trials

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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.