Evidence map›Paper›PMID 42494319›Full record

ReviewEssays in biochemistry2026

Distribution of lactone-signaling system for expression of secondary metabolite biosynthetic gene clusters in Streptomyces species.

Aiko Teshima, Kuninobu Inada, Kenji Arakawa

Abstract readReview
In one paragraph

Review in Essays in biochemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Bacterial biosynthetic gene clusters.Essays in biochemistry · 2026
    Review
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.

Aiko Teshima *Program of Biotechnology, Graduate School of Integrated Sciences for Life, Hiroshima University, 1-3-1 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8530, Japan.ORCID 0009-0005-6738-2589
Kuninobu Inada *Core Facility Management Center, Hiroshima University, 1-4-2 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8526, Japan.ORCID 0000-0002-3493-5838
Kenji ArakawaProgram of Biotechnology, Graduate School of Integrated Sciences for Life, Hiroshima University, 1-3-1 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8530, Japan.ORCID 0000-0001-5129-0042

Funding

MEXT | Japan Society for the Promotion of Science (JSPS) 16H04917MEXT | Japan Society for the Promotion of Science (JSPS) 16K14915MEXT | Japan Society for the Promotion of Science (JSPS) 22H02274
6 · The paper itself

Abstract

Many Streptomyces species have a signaling-molecule/receptor system for induction of secondary metabolite biosynthetic gene clusters (BGCs). Signaling molecules hitherto discovered and studied contain five-membered heterocycles, and are classified into three groups, including γ-butyrolactones, γ-butenolides, and furans. These molecules except for avenolide-type are biosynthesized by enzymes harboring an AfsA tandem repeat domain. These enzymes (AfsA homologs) catalyze a transfer of β-ketoacyl moiety to the hydroxyl group of dihydroxyacetone phosphate. Alignment of 59 afsA homolog genes showed that 86% (51/59) of them located adjacent to their possible signaling-molecule receptor genes, which reminds us to readily predict their signaling-molecule/receptor system for expression of BGCs. Apparent exception is the case of afsA-arpA system in Streptomyces griseus, whose distance was around 3.91 Mb. Understanding of the signaling-molecule/receptor system may lead to a practical genome mining strategy to awaken silent BGCs through derepression of transcription using the cognate ligands, signaling molecules.

Indexed as

LactonesMultigene FamilySecondary MetabolismSignal TransductionStreptomycesGene Expression Regulation, BacterialLactonesbiosynthesisreceptorsecondary metabolitessignaling moleculeStreptomyces

Identifiers

PMID42494319
PMCPMC13500789

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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.