Evidence map›Paper›PMID 40691532›Full record

ArticleBMC genomics2025

Genome mining reveals the distribution of biosynthetic gene clusters in Alternaria and related fungal taxa within the family Pleosporaceae.

Natalie E Kim, Jeremy R Dettman

Abstract read
In one paragraph

Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Comparative Whole-Genome Sequence Analysis ofJournal of fungi (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Mechanisms of action and biocontrol potential ofFrontiers in fungal biology · 2026
    Review
  4. Genome Analysis ofJournal of fungi (Basel, Switzerland) · 2025
    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

2 authors.

Natalie E KimUniversity of Guelph, 50 Stone Rd E, Guelph, ON, N1G 2W1, Canada.
Jeremy R DettmanAgriculture and Agri-Food Canada, Ottawa Research and Development Centre, 960 Carling Avenue, Ottawa, ON, K1A 0C6, Canada. jeremy.dettman@agr.gc.ca.

Funding

Agriculture and Agri-Food Canada J-002272, J-003074
6 · The paper itself

Abstract

backgroundThe advancement of whole genome sequencing techniques has led to the development of genome mining strategies that enable high-resolution research into fungal secondary metabolite (SM) biosynthesis. Alternaria species are producers of prominent SMs including virulence factors and mycotoxins that affect phytosanitation, food safety, and the economy. Here, we apply genome mining to identify a total of 6,323 biosynthetic gene clusters (BGCs) from 187 genomes: 123 Alternaria and 64 from seven other closely related genera in the family Pleosporaceae.

resultsAn average of 34 BGCs were detected per genome, with 29 on average for Alternaria genomes. The distribution of different BGC classes (e.g. polyketide synthases, non-ribosomal peptide synthetases) across taxa was investigated. BGCs were grouped into 548 gene cluster families (GCFs) revealing that while individuals within the same species may differ in their toxicological potential, the overall patterns of GCF presence/absence were also generally well correlated with phylogenomic patterns at higher taxonomic levels. Comparative genome analyses revealed that the divergent Alternaria sections Infectoriae and Pseudoalternaria possessed highly unique GCF profiles compared to other Alternaria sections, providing nine ideal candidates for diagnostic or chemotaxonomic marker development. However, none of these GCFs were associated with known compounds, prompting further research into the genetic characterization of Alternaria SMs. The GCF for the most prominent Alternaria mycotoxin alternariol (AOH) was found in Alternaria sections Alternaria and Porri, suggesting that food safety monitoring efforts should prioritize these two sections. Findings supported phytosanitary regulations regarding Alternaria gaisen, associated with Asian pear host-specific AK-toxin I.

conclusionsOur analyses are of unprecedented scale and resolution, allowing the identification of SM BGCs that are shared among multiple genera, or restricted to certain groups of focal taxa. Our study highlights the challenges associated with exploratory genome mining as a launching point for further research, and informs Alternaria disease management and regulation, food safety practices, and natural product discovery.

Indexed as

AlternariaAscomycotaBiosynthetic PathwaysGenome, FungalGenomicsMultigene FamilyData MiningMycotoxinsPhylogenySecondary MetabolismMycotoxinsAlternariaBiosynthetic gene cluster profileComparative genomicsGenome miningSecondary metabolite

Identifiers

PMID40691532
PMCPMC12278603

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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.