Data underlying the publication: A Distinct Subgroup of Ralstonia pseudosolanacearum var. mori in Phylotype I: Genomic and Pathogenic Insights into Virulence Gradients and Invasion.

DOI:10.4121/06046d03-7d97-4935-a43a-439de2988703.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: 10.4121/06046d03-7d97-4935-a43a-439de2988703

Datacite citation style

Yuan, Ting (2025): Data underlying the publication: A Distinct Subgroup of Ralstonia pseudosolanacearum var. mori in Phylotype I: Genomic and Pathogenic Insights into Virulence Gradients and Invasion. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/06046d03-7d97-4935-a43a-439de2988703.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset supports the study of mulberry bacterial wilt caused by Ralstonia pseudosolanacearum var. mori, a distinct clade within Phylotype I, focusing on its taxonomic status, virulence gradients, and host-specific adaptations. It includes genomic sequences, phenotypic data, and experimental results from multilocus sequence analysis (MLSA), whole-genome sequencing, in vitro virulence assays, pot experiments, electron microscopy, and RT-qPCR for seven mulberry Ralstonia strains (LKqk, LZqk, XCqk, XZqk, YDqk, YLqk, HJqk). The dataset contains raw and processed data, such as genomic annotations, virulence gene profiles, and expression data, stored in spreadsheet (.xlsx), genomic (.fasta), and text (.txt) formats, facilitating research on microbial genomics, plant pathology, and CRISPR-Cas-based biocontrol strategies.

History

  • 2025-09-11 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 CARS-18-ZJ0304) China Agriculture Research System

Organizations

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

DATA

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