ArticleThe ISME journal2025
Discovery and cultivation of prokaryotic taxa in the age of metagenomics and artificial intelligence.
Article in The ISME journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Genomic characteristics and geographical distribution of uncultivated soil prokaryotes.BMC genomics · 2026Article
- Distinct functional responses of root endophyte and rhizosphere microbial communities in intercropping systems under arid conditions.Frontiers in plant science · 2026Article
- Next-generation sequencing in the etiological diagnosis of severe childhood pneumonia.Frontiers in pediatrics · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Despite advances in sequencing, microbial genomics, and cultivation techniques, the vast majority of prokaryotic species remain uncultured, which is a persistent bottleneck in microbiology and microbial ecology. This perspective outlines a conceptual framework to improve the transition from genome-resolved metagenomics to the targeted isolation of yet-uncultured prokaryotic taxa. The proposed framework integrates the induced reshaping of microbiomes, genome-based inferences of physiological and phenotypic traits, culture media design, and targeted culturomics, enabling hypothesis-driven cultivation. In addition, this manuscript addresses the critical limitations in the field, including the sequence-to-function gap, and emphasizes the synergistic potential of experimental microbiology, microbial ecology, metagenomics, and artificial intelligence-based predictions to enhance rational and actionable roadmaps for discovering and cultivating novel prokaryotic lineages.
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Registered trials
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