Evidence map›Paper›PMID 41810611›Full record

ReviewEssays in biochemistry2026

When, where, and why specialised metabolites are produced: inferring function from expression control.

Sébastien Rigali

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

1 author.

Sébastien RigaliInBioS-Center for Protein Engineering, University of Liège, Institut de Chimie B6a, Liège B-4000, Belgium.ORCID 0000-0003-4022-7325

Funding

Fonds De La Recherche Scientifique - FNRS (FNRS) NA
6 · The paper itself

Abstract

Although some microbial compounds have been repurposed for human use, microorganisms did not evolve their specialised metabolites with us in mind. Many natural products likely possess hidden activities, while others may be exploited in ways that ignore their most biologically relevant roles. Uncovering the true function of these compounds is essential not only for understanding microbial interactions in native environments but also for unlocking their most appropriate use. To facilitate prioritisation in discovering new natural products, computational tools have been developed to predict the function of compounds hidden in cryptic biosynthetic gene clusters. Yet beyond in silico predictions, understanding when, where, and why metabolites are produced is critical for both fundamental biology and targeted discovery. After all, what nature chooses to activate at a specific time or condition tells us what it is really for. Based on the principle 'function follows regulation', it is no coincidence that expression of metal chelators, phytotoxins, pigments, and antibiotics is controlled by metal availability, plant byproducts, radiations, and competitor sensing, respectively. Likewise, metabolite localisation and production timing also provide clues to function such as intracellular antiproliferative agents coordinating programmed cell death or pigments protecting against oxidative stress. These controlled expression patterns suggest a strategic approach for natural product discovery: focusing on culture conditions that mimic the environmental or developmental contexts under which metabolites are needed for the producer. Integrating expression control information offers a predictive framework to guide experimental design, increases the likelihood of identifying compounds with meaningful ecological roles, and anticipates their applications.

Indexed as

BacteriaBiological ProductsGene Expression RegulationHumansBiological Productsantibioticsbiosynthetic gene clustercryptic metabolitesgene regulatory networksMicrobial ecologyNatural product discovery

Identifiers

PMID41810611
PMCPMC13500779

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.