Evidence map›Paper›PMID 41518510›Full record

ReviewNatural products and bioprospecting2026

Revolutionizing microbial treasure troves: innovative strategies for natural products discovery.

Yu-Jie Li, Ming-Hua Qiu, Xing-Rong Peng

Abstract readReview
In one paragraph

Review in Natural products and bioprospecting, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Yu-Jie LiState Key Laboratory of Phytochemistry and Natural Medicines, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China.
Ming-Hua QiuState Key Laboratory of Phytochemistry and Natural Medicines, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China.
Xing-Rong PengState Key Laboratory of Phytochemistry and Natural Medicines, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China. pengxingrong@mail.kib.ac.cn.ORCID http://orcid.org/0000-0002-3100-1888

Funding

Basic Research Program of Yunnan Province 202301AT070332Yunnan Revitalization Talent Support Program "Young Talent" Project XDYC-QNRC-2022-0480
6 · The paper itself

Abstract

Microorganisms represent Earth's most abundant biological resource, producing metabolites of immense value across medicine, agriculture, and industry. Conventional cultivation and screening techniques, however, suffer from inefficiency and fail to meet contemporary demands. Providing a comprehensive overview, this review details how the One Strain Many Compounds (OSMAC) strategy-addressing cultivation bottlenecks-and genomics-driven mining approaches are revolutionizing the discovery of novel microbial metabolites. Crucially, it underscores the broad adoption of innovative technologies like machine learning to enable faster, more effective gene and structure targeting. Synthesizing case studies from 2019 to 2025, the review catalogs newly identified compounds and their bioactivities, while outlining future research directions to establish a theoretical framework for efficient microbial natural product exploration. These advanced discovery strategies are significantly accelerating the identification of structurally diverse lead compounds with novel mechanisms of action, thereby revitalizing pipelines for new antibiotic, anticancer, and therapeutic drug development.

Indexed as

Genome miningMachine learningMicrobial natural productsOSMAC strategy

Identifiers

PMID41518510
PMCPMC12790562

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.