<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Barwell LJ</submitter><funding>Economic and Social Research Council</funding><funding>Forestry Commission</funding><funding>Department of Environment Food and Rural Affairs</funding><funding>Natural Environment Research Council</funding><funding>Biotechnology and Biological Sciences Research Council</funding><funding>Scottish Government under the Tree Health and Plant Biosecurity Initiative</funding><pagination>2480-2497</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12589713</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>248(5)</volume><pubmed_abstract>Estimates of invasion risk can support prioritisation of future threats from non-native species. Greater risk of invasion is expected when species occur in connected source regions and possess traits promoting successful transport, introduction or establishment. We compile a global database of first reports of Phytophthora de Bary species, a diverse oomycete genus attacking a broad range of plant hosts across multiple regions, sectors and ecosystem types with increasing frequency. Using Bayesian hierarchical zero-inflated models, we model global patterns of new detections since 2005 among 109 Phytophthora pathogens across 56 countries with at least two known Phytophthora species reported before 2005. We estimate the effects of trade connectivity, climate matching, national surveillance and</pubmed_abstract><journal>The New phytologist</journal><pubmed_title>Trait-mediated filtering of Phytophthora pathogen invasions through global horticultural trade networks.</pubmed_title><pmcid>PMC12589713</pmcid><funding_grant_id>BB/N023463/1</funding_grant_id><funding_grant_id>NE/V019813/1</funding_grant_id><pubmed_authors>Williams N</pubmed_authors><pubmed_authors>Chapman D</pubmed_authors><pubmed_authors>Purse BV</pubmed_authors><pubmed_authors>Green S</pubmed_authors><pubmed_authors>Barwell LJ</pubmed_authors><pubmed_authors>Scott P</pubmed_authors><pubmed_authors>Burgess TI</pubmed_authors><pubmed_authors>Hardy G</pubmed_authors><pubmed_authors>Cooke DEL</pubmed_authors><pubmed_authors>Perez-Sierra A</pubmed_authors></additional><is_claimable>false</is_claimable><name>Trait-mediated filtering of Phytophthora pathogen invasions through global horticultural trade networks.</name><description>Estimates of invasion risk can support prioritisation of future threats from non-native species. Greater risk of invasion is expected when species occur in connected source regions and possess traits promoting successful transport, introduction or establishment. We compile a global database of first reports of Phytophthora de Bary species, a diverse oomycete genus attacking a broad range of plant hosts across multiple regions, sectors and ecosystem types with increasing frequency. Using Bayesian hierarchical zero-inflated models, we model global patterns of new detections since 2005 among 109 Phytophthora pathogens across 56 countries with at least two known Phytophthora species reported before 2005. We estimate the effects of trade connectivity, climate matching, national surveillance and</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Dec</publication><modification>2026-06-05T12:45:11.716Z</modification><creation>2026-05-17T03:07:41.032Z</creation></dates><accession>S-EPMC12589713</accession><cross_references><pubmed>40968726</pubmed><doi>10.1111/nph.70587</doi></cross_references></HashMap>