Multivariate Bayesian analysis to predict invasiveness of Phytophthora pathogens

Published: 16 May 2023| Version 1 | DOI: 10.17632/6rshgjfr8w.1
Contributors:
Treena Burgess,

Description

Three excel databases have been compiled to provide the background data for this manuscript. Supporting Data 1. All internal transcribed spacer GenBank records of Phytophthora (over 15,000 records). All records were checked within phylogenetic analyses to confirm the species identity. An explanation for the process used is given in the first datasheet. Supporting Data 2. All disease records for Phytophthora based on both host and country. Publicly available records of plant diseases involving Phytophthora species were collated to establish a global database of Phytophthora diseases. Reports of formally and provisionally described species for which host genus or species information was available were included until March 2022. Reports were scoured from plant disease databases and large collections including: • United States Department of Agriculture (USDA), global fungal database (Farr and Rossman 2022) using the R package (rusda – Krah 2016, n = 8 497 reports), • Centre for Agriculture and Bioscience International (CABI), • The New Zealand Forest Research (Scion) forest health database (collected through correspondence = 1 504 records), • Landcare Research, New Zealand fungi database (collected through correspondence = 1 559 records), • Australia Phytophthora disease records (sourced from Burgess et al. 2021 = 7 629 records), and • NCBI Genbank records (manual download Appendix S1 = 12 957 records). Additional plant disease records not available in the above databases were manually downloaded Supporting Data 3. A trait database for all described Phytophthora species including morphological and physiological traits, the type of disease caused by each species and the environments where the different species have been recovered. The morphological and physiological traits were from species descriptions and the type of disease caused, and the environments where the species has been found were from disease reports. The variables collated are explained in the final datasheet of the file.

Files

Steps to reproduce

The raw data has been provided here and the process used to acquire that data The data analysis is presented in the publication.

Institutions

Murdoch University

Categories

Phytophthora, Morphological Analysis, Plant Diseases, Bayesian Analysis, Forest Health

Licence