ArticleMolecular ecology resources2026
HiMBar: A High-Fidelity Metagenomic Barcoding Approach for Transkingdom Species Detection and Interaction Analysis in Aquatic Ecosystems.
Article in Molecular ecology resources, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
The trial behind it
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Who cites it
1 citing paper in PubMed.
- HiMBar: A High-Fidelity Metagenomic Barcoding Approach for Transkingdom Species Detection and Interaction Analysis in Aquatic Ecosystems.Molecular ecology resources · 2026Article
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Authors and funding
15 authors.
Funding
Abstract
Aquatic ecosystems host diverse organisms across all six life kingdoms, yet their complex interactions remain poorly understood, primarily due to limitations in transkingdom species detection methods. To address this limitation, we developed HiMBar (https://github.com/Xchenkai2019/HIFI_barcoding), a high-fidelity (HiFi) metagenomic barcoding approach that utilises long, highly accurate reads to extract multiple full-length marker genes (such as rRNA genes, COI, rbcL) directly from environmental DNA sequencing reads. These genes are subsequently clustered into operational taxonomic units (OTUs) for species identification, eliminating the need for PCR amplification or sequence assembly. HiMBar outperforms existing DNA-based methods in accuracy, recall and consistency. Applying HiMBar, we identified a stable interaction network among Cyanobacteria, Planctomycetota, Verrucomicrobiota and Fungi. Further analysis revealed that glucose metabolism plays a key role in maintaining these interactions. Our study offers a powerful tool for transkingdom species monitoring and provides a case study for exploring transkingdom interactions and their molecular mechanisms.
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Registered trials
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