Raw data underlying the publication: Eco-Evolutionary Divergence in Pantoea ananatis Unveils Intrinsic Genomic-Metabolic

DOI:10.4121/51da0e25-3c0f-48b8-93b0-1b0b0c3f0cdb.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/51da0e25-3c0f-48b8-93b0-1b0b0c3f0cdb

Datacite citation style

Yuan, Ting (2025): Raw data underlying the publication: Eco-Evolutionary Divergence in Pantoea ananatis Unveils Intrinsic Genomic-Metabolic. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/51da0e25-3c0f-48b8-93b0-1b0b0c3f0cdb.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

The dataset encompasses genomic, metabolomic, and phenotypic data from 18 Pantoea ananatis isolates derived from mulberry (Morus spp.), focusing on eco-evolutionary mechanisms underlying their pathogen-probiotic duality. Key findings include three genetic clades: low-virulence probiotics (Pa-I, 11 strains), high-virulence pathogens (Pa-II, 5 strains), and transitional (Pa-III, 2 strains). Representative strains Pa-6 (probiotic) and YSFJ (pathogen) highlight divergences in genome architecture (e.g., plasmids, pseudogenes), metabolomes (e.g., TCA/amino acid vs. phosphonate/sulfur pathways), pan-genome openness, multidrug resistance, and host interactions (e.g., mild colonization enhancing resilience vs. aggressive lysis accelerating dysbiosis). This supports predictive frameworks for biocontrol and resilient microbiome engineering in agriculture. Data types include raw sequencing reads, MS spectra, bioassay results, and figure sources, organized by category. Total size: approximately 10-15 GB. Ethical compliance: Biosafety protocols followed; no human/animal subjects. Contact corresponding authors for interpretation queries on genomic evolution or metabolomic networks.

History

  • 2025-11-14 first online, published, posted

Publisher

4TU.ResearchData

Format

spreadsheet/.xlsx, Combined picture/.ai, Genomic data/.fasta and .fa,Text/.txt, image/.jpeg and .pdf

Funding

  • China Agriculture Research System (grant code code CARS-18-ZJ0304)) China Agriculture Research System

Organizations

South China Agricultural University, College of Life Sciences, Tianhe, Guangzhou, China

DATA

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