Evidence map›Paper›PMID 40313146›Full record

ArticleJournal of microbiology (Seoul, Korea)2025

A guide to genome mining and genetic manipulation of biosynthetic gene clusters in Streptomyces.

Heonjun Jeong, YeonU Choe, Jiyoon Nam, Yeon Hee Ban

Abstract read
In one paragraph

Article in Journal of microbiology (Seoul, Korea), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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.

Heonjun JeongDepartment of Intergrative Molecular and Biomedical Science, College of Biomedical Science, Kangwon National University, Chuncheon 24341, Republic of Korea.
YeonU ChoeDepartment of Intergrative Molecular and Biomedical Science, College of Biomedical Science, Kangwon National University, Chuncheon 24341, Republic of Korea.
Jiyoon NamDepartment of Intergrative Molecular and Biomedical Science, College of Biomedical Science, Kangwon National University, Chuncheon 24341, Republic of Korea.
Yeon Hee BanDepartment of Intergrative Molecular and Biomedical Science, College of Biomedical Science, Kangwon National University, Chuncheon 24341, Republic of Korea.

Funding

Institute for Information & communications Technology Planning & Evaluation IITP-2025-RS-2023-00260267Kangwon National University 202305080001Ministry of Education RS-2023-00301850Ministry of Science and ICTMinistry of Science and ICT 2021R1C1C2006260National Research Foundation of Korea
6 · The paper itself

Abstract

Streptomyces are a crucial source of bioactive secondary metabolites with significant clinical applications. Recent studies of bacterial and metagenome-assembled genomes have revealed that Streptomyces harbors a substantial number of uncharacterized silent secondary metabolite biosynthetic gene clusters (BGCs). These BGCs represent a vast diversity of biosynthetic pathways for natural product synthesis, indicating significant untapped potential for discovering new metabolites. To exploit this potential, genome mining using comprehensive strategies that leverage extensive genomic databases can be conducted. By linking BGCs to their encoded products and integrating genetic manipulation techniques, researchers can greatly enhance the identification of new secondary metabolites with therapeutic relevance. In this context, we present a step-by-step guide for using the antiSMASH pipeline to identify secondary metabolite-coding BGCs within the complete genome of a novel Streptomyces strain. This protocol also outlines gene manipulation methods that can be applied to Streptomyces to activate cryptic clusters of interest and validate the functions of biosynthetic genes. By following these guidelines, researchers can pave the way for discovering and characterizing valuable natural products.

Indexed as

Biosynthetic PathwaysGenome, BacterialGenomicsMultigene FamilyStreptomycesBiological ProductsSecondary MetabolismBiological Productsbiosynthetic gene clustersgenetic manipulationgenome miningsecondary metabolitesStreptomyces

Identifiers

PMID40313146
PMCPMC13577024

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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.