ArticleBMC genomics2024
Genomic diversity in Paenibacillus polymyxa: unveiling distinct species groups and functional variability.
Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
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Who cites it
5 citing papers in PubMed.
- Comparative genomic analyses reveal key traits for biocontrol and the promotion of plant growth in Paenibacillus strains.World journal of microbiology & biotechnology · 2026Article
- Article
- Advancing sustainable practices withAIMS microbiology · 2025Review
- Characterization of the antagonistic secondary metabolites ofFrontiers in microbiology · 2025Article
- Pangenome analysis ofApplied and environmental microbiology · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundPaenibacillus polymyxa is a bacterial species of high interest, as suggested by the increased number of publications on its functions in the past years. Accordingly, the number of described strains and sequenced genomes is also on the rise. While functional diversity of P. polymyxa has been suggested before, the available genomic data is now sufficient for robust comparative genomics analyses.
resultsUsing 157 genomes, we found significant disparities among strains currently affiliated to P. polymyxa. Multiple taxonomic groups were identified with conserved predicted functions putatively impacting their respective ecology. As strains of this species have been reported to exhibit considerable potential in agriculture, medicine, and bioremediation, it is preferable to clarify their taxonomic organization to facilitate reliable and durable approval as active ingredients.
conclusionsStrains currently affiliated to P. polymyxa can be separated into two major species groups with differential potential in nitrogen fixation, plant interaction, secondary metabolism, and antimicrobial resistance, as inferred from genomic data.
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