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Ralstonia Wilt Dashboard & Ralstonia solanacearum species complex (RSSC) Global Diversity Database

DOI

Background

Welcome to the Ralstonia Wilt Dashboard, a comprehensive tool designed to explore and analyze the genetic diversity of Ralstonia solanacearum species complex (RSSC). The Ralstonia solanacearum species complex (RSSC) are a diverse group of soil and waterborne pathogens that causes wilt and rot diseases of many economically important plant species. The species complex has been sub-divided into three distinct genomospecies: R. solanacearum, R. pseudosolanacearum, and R. syzygii. Different RSSC lineages emerged and diversified on distinct continents: R. solanacearum in the Americas, R. syzygii in the SE Asian archipelagoes (e.g. Indonesia), the phylotype I branch of R. pseudosolanacearum in continental Asia, and the phylotype III branch of R. pseudosolanacearum in Africa. RSSC are broad-host range, generalist pathogens where individual strains have complex patterns of host range. Because most lineages that infect economically important crop plants can also cause latent infections of ornamental plants, latent infections of clonally propagated ornamental plants facilitate the transmission of exotic RSSC to new countries. The Ralstonia Wilt Dashboard integrates data from hundreds of sources. Please read our companion pre-print on BioRxiv for more details: https://www.biorxiv.org/content/10.1101/2020.07.13.189936

Purpose

  • Communicate public data to stakeholders through a dashboard that visualizes geographic distribution patterns of Ralstonia solanacearum species complex (RSSC) lineages and patterns of Ralstonia solanacearum species complex (RSSC) host range
  • To build a framework for understanding how and where exotic RSSC lineages can enter, establish, and spread in the U.S.
  • To develop an interactive dashboard that provides user-friendly access to host, location, and other already collected pathogen metadata on thousands of RSSC strains

Goals

  • This interactive dashboard visualizes large and complex RSSC data in interactive maps, charts, and tables for stakeholders to explore.
  • Maps will highlight the geographic distribution of isolated RSSC strains by phylotype. The interactive features will allow stakeholders to filter plotted data by taxonomic classification (phylotypes or sequevars), by host (plant species or botanical families), and by geographic location.
  • Charts will visualize phylotype abundance by host and location.

Reporting Errors or Bugs

  • Any issues, questions, or comments about the dashboard can be directed to the Ralstonia-dashboard issue tracker on our github or to the Google form linked at the top of the dashboard webpage.

About the Team

  • This dashboard is a collaboration between the Lowe-Power Lab at UC Davis and the Data Intensive Biology lab at UC Davis and is under guidance by Dr. Tessa Pierce-Ward and Dr. Tiffany Lowe-Power.
  • Version 1 of the Ralstonia Wilt Dashboard was developed by Vienna Elmgreen with geocoding done by Benjamin Ramirez.
  • Assistance with geocoding was provided by Rituraj Sharma and Dr. Boris Vinatzer (Virginia Tech).

Acknowledgments

  • We gratefully acknowledge the global plant pathology community for investigating and reporting Ralstonia incidence and isolation information. We are grateful to Dr. Emerson Del Ponte for sharing advice and code from the Fusarium graminearum species complex Db.
  • Support was provided by the U.S. Department of Agriculture Hatch Projects (#1023861) and Pests and Beneficial Species in Agricultural Production Systems (A1112) program, project award no. 2024-67013-42781, from the U.S. Department of Agriculture’s National Institute of Food and Agriculture. Additionally, this material was made possible, in part, by a PPA7721 Cooperative Agreement from the United States Department of Agriculture’s Animal and Plant Health Inspection Service (APHIS). It may not necessarily express APHIS’ views.

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