ArticleScientific data2026
Decoding a Microbial Community for Healthy Kelp: 403 MAGs from the World's Largest Kelp Farming Region.
Article in Scientific data, 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
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.
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Who cites it
1 citing paper in PubMed.
- Decoding a Microbial Community for Healthy Kelp: 403 MAGs from the World's Largest Kelp Farming Region.Scientific data · 2026Article
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Authors and funding
5 authors.
Funding
Abstract
Kelp is economically and ecologically significant, with its organic nutrient-rich aquaculture water harboring diverse microbial communities that critically influence kelp health and productivity. To characterize these communities, we collected ten water samples from major kelp farming areas and reconstructed 403 medium- to high-quality Metagenome-Assembled Genomes (MAGs). Of these, 110 (27.3%) met high-quality criteria (completeness >90%, contamination <5%). Phylogenomic analysis classified these MAGs into 21 archaeal and 382 bacterial species across 19 phyla, with Pseudomonadota (n = 217), Bacteroidota (n = 74), and Patescibacteria (n = 24) as the dominant groups. UpSet plot analysis revealed the presence of a core set of 30 MAGs across all sampling sites. Notably, diseased samples exhibited a marked increase in Pseudomonadota MAGs, suggesting their potential as biomarkers for disease monitoring. Together, these findings provide foundational insights into the microbial ecology of kelp aquaculture systems, supporting improved disease management and sustainable practices.
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