Environmental DNA · 2022 · 14 citations · 77 references
Life SciencesEcologyMicrobiologyMicrobial EcologyMycologyPlant-microbe InteractionsInvasive Plant EcologyMicrobial BiogeographyMicrobial Community DynamicsMicrobial DiversityPlant-associated Microbial CommunitiesPlant-pathogen InteractionsBiogeography Of Microbial CommunitiesEcosystem ProcessEnvironmental Fungal DiversityInvasive Pathogen ImpactsMicrobial BiodiversityPathogen Invasion BiologyPhytophthora PathogenicityPlant Pathogen Ecology
Abstract Anthropogenic activities contribute to changes in the range and distribution of species. Globalization is resulting in human‐mediated dispersal that is causing a breakdown in normal biogeographic barriers. But the impact of anthropogenic activities on plant pathogen communities is still poorly understood. We conducted an eDNA metabarcoding study to compare communities of oomycetes, a group of eukaryotic microorganisms that comprises important crop and tree pathogens, in urban, natural, and interface environments. Oomycete diversity and abundance were highest in human impacted urban environments and lowest in natural environments, while the interface environments were intermediate. Urban environments had the highest proportion of sites where species of the plant pathogenic genus Phytophthora were found, as well as the largest number of unknown or undescribed Phytophthora species. The taxa overlap between urban and interface environments was one order of magnitude larger than the overlap between urban and natural environments. Our analyses show that urban/natural interface areas likely act as a bridge for invasion into natural environments. This could impact both the natural biota and natural ecosystem processes. Our study serves as a warning that some Phytophthora species introduced from nurseries or spread by human movement could pose a threat to natural ecosystems. Shifting patterns in oomycete communities could interfere with natural ecosystem processes and result in increases in disease and ecosystem declines.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Basic local alignment search tool
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Search and clustering orders of magnitude faster than BLAST
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