Evidence map›Paper›PMID 40626555›Full record

ArticleNucleic acids research2025

Targeted genome mining with GATOR-GC maps the evolutionary landscape of biosynthetic diversity.

José D D Cediel-Becerra, Andrés Cumsille, Sebastian Guerra, Yousong Ding, Valérie de Crécy-Lagard, Marc G Chevrette

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Whole genome sequencing analysis and functional characterization of Lacticaseibacillus rhamnosus HP-B1083.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026
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  11. Synteny plot quality control with SyntenyQC.Bioinformatics (Oxford, England) · 2025
    Article
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  14. EquilibraTor streamlines molecular dynamics simulations in a single execution.Computational and structural biotechnology journal · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

José D D Cediel-BecerraDepartment of Microbiology and Cell Science, University of Florida, Gainesville, FL 32611, United States.ORCID 0000-0001-6496-2071
Andrés CumsilleDepartment of Microbiology and Cell Science, University of Florida, Gainesville, FL 32611, United States.
Sebastian GuerraDepartment of Microbiology and Cell Science, University of Florida, Gainesville, FL 32611, United States.
Yousong DingUniversity of Florida Genetics Institute, Gainesville, FL 32611, United States.
Valérie de Crécy-LagardDepartment of Microbiology and Cell Science, University of Florida, Gainesville, FL 32611, United States.
Marc G ChevretteDepartment of Microbiology and Cell Science, University of Florida, Gainesville, FL 32611, United States.

Funding

Synthesis and function of Queuosine in BacteriaR01GM070641 · NIGMS · UNIVERSITY OF FLORIDA · PI DE CRECY-LAGARD, VALERIE A · 2006 to 2023
$5.3M
NIH Equipment Supplement to R35GM128742R35GM128742 · NIGMS · UNIVERSITY OF FLORIDA · PI Yousong Ding · 2018 to 2026
$3.4M
Chemistry-Biology Interface Training Program at the University of FloridaT32GM136583 · NIGMS · UNIVERSITY OF FLORIDA · PI Chenglong Li · 2020 to 2026
$1.1M
Department of Microbiology and Cell ScienceNational Science Foundation MCB-1817942NIGMS NIH HHS R01 GM070641NIGMS NIH HHS R35 GM128742NIGMS NIH HHS T32 GM136583NIH HHS 5T32GM136583-04NIH HHS R01 GM46075NIH HHS R35GM128742
6 · The paper itself

Abstract

Gene clusters, groups of physically adjacent genes that work collectively, are pivotal to bacterial fitness and valuable in biotechnology and medicine. While various genome mining tools can identify and characterize gene clusters based on homology, they often overlook their evolutionary diversity, a crucial factor in revealing novel cluster functions and applications. To address this gap, we developed GATOR-GC, a targeted, homology-based genome mining tool that enables comprehensive and flexible exploration of gene clusters in a single execution. We show that GATOR-GC identified a diversity of over 4 million gene clusters similar to experimentally validated biosynthetic gene clusters (BGCs) that antiSMASH version 7 fails to detect. To highlight the utility of GATOR-GC, we identified previously uncharacterized co-occurring conserved genes potentially involved in mycosporine-like amino acid biosynthesis and mapped the taxonomic and evolutionary patterns of genomic islands that modify DNA with 7-deazapurines. Additionally, with its proximity-weighted similarity scoring, GATOR-GC successfully differentiated BGCs of the FK family of metabolites (e.g. rapamycin, FK506/520) according to their chemistries. When benchmarked on the FK-family of BGCs, GATOR-GC outperformed cblaster, zol, and fai. We anticipate GATOR-GC will be a valuable tool to assess gene cluster diversity for targeted, exploratory, and flexible genome mining.

Indexed as

Biosynthetic PathwaysData MiningEvolution, MolecularGenome, BacterialGenomicsMultigene FamilySoftwareGenomic Islands

Identifiers

PMID40626555
PMCPMC12235509

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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.