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Fig. 2.
Relative abundance of the seven most common species found across all three metabarcoding datasets. Relative abundance was calculated as the number of reads per species out of the total number of reads assigned a taxonomic label to the species level.

Fig. 2. Relative abundance of the seven most common species found across all three metabarcoding datasets. Relative abundance was calculated as the number of reads per species out of the total number of reads assigned a taxonomic label to the species level.

Industrial hemp was a historically important fiber crop prior to the U.S. federal regulation of marijuana in the early 20th century. Jaime E. Blair et al. provide an important resource for #oomycete identification and industrial hemp management practices: https://doi.org/10.1094/PBIOMES-07-25-0056-R

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Plants counter with NLRs R2 & Rpi-mcq1, which guard both the pH regulator (StATP6V1C1) and its downstream target — a dual-layer decoy surveillance system.
A new arms race battlefield: intracellular pH homeostasis.
#PlantImmunity #Oomycete #LateBlight #PlantPathology

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Haplotype comparison of the fully phased chromosome 9 uncovers a variety of evolutionary processes. Top: Explanation of the approach to assign haplotypes to accessory nodes of the pangenome and subsequent visualization: 1. create a pangenome graph and parse its variation; 2. the graph is transformed into a sequence alignment for visualization; 3. the core and unique nodes remain unchanged, while the accessory nodes are recursively assigned to different haplotypes. Middle: Pangenome graph of the phased chromosome 9 created with Minigraph-Cactus and visualized with Bandage. The nodes of the graph are coloured based on the haplotypes assigned in the bottom panel. Bottom: Alignment of haplotypes of chromosome 9 for all phased P. effusa isolates, derived from the pangenome graph in 4 kb windows, as described in the top panel.

Haplotype comparison of the fully phased chromosome 9 uncovers a variety of evolutionary processes. Top: Explanation of the approach to assign haplotypes to accessory nodes of the pangenome and subsequent visualization: 1. create a pangenome graph and parse its variation; 2. the graph is transformed into a sequence alignment for visualization; 3. the core and unique nodes remain unchanged, while the accessory nodes are recursively assigned to different haplotypes. Middle: Pangenome graph of the phased chromosome 9 created with Minigraph-Cactus and visualized with Bandage. The nodes of the graph are coloured based on the haplotypes assigned in the bottom panel. Bottom: Alignment of haplotypes of chromosome 9 for all phased P. effusa isolates, derived from the pangenome graph in 4 kb windows, as described in the top panel.

#Plant pathogens secrete effectors to establish infections, but resistant crops select for resistance-breaking #pathogens. @mfseidl.bsky.social &co use #pangenome graph analyses of 19 resistance-breaking races of an #oomycete pathogen to identify several effectors @plosbiology.org 🧪 plos.io/4qA6nKC

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Haplotype comparison of the fully phased chromosome 9 uncovers a variety of evolutionary processes. Top: Explanation of the approach to assign haplotypes to accessory nodes of the pangenome and subsequent visualization: 1. create a pangenome graph and parse its variation; 2. the graph is transformed into a sequence alignment for visualization; 3. the core and unique nodes remain unchanged, while the accessory nodes are recursively assigned to different haplotypes. Middle: Pangenome graph of the phased chromosome 9 created with Minigraph-Cactus and visualized with Bandage. The nodes of the graph are coloured based on the haplotypes assigned in the bottom panel. Bottom: Alignment of haplotypes of chromosome 9 for all phased P. effusa isolates, derived from the pangenome graph in 4 kb windows, as described in the top panel.

Haplotype comparison of the fully phased chromosome 9 uncovers a variety of evolutionary processes. Top: Explanation of the approach to assign haplotypes to accessory nodes of the pangenome and subsequent visualization: 1. create a pangenome graph and parse its variation; 2. the graph is transformed into a sequence alignment for visualization; 3. the core and unique nodes remain unchanged, while the accessory nodes are recursively assigned to different haplotypes. Middle: Pangenome graph of the phased chromosome 9 created with Minigraph-Cactus and visualized with Bandage. The nodes of the graph are coloured based on the haplotypes assigned in the bottom panel. Bottom: Alignment of haplotypes of chromosome 9 for all phased P. effusa isolates, derived from the pangenome graph in 4 kb windows, as described in the top panel.

#Plant pathogens secrete effectors to establish infections, but resistant crops select for resistance-breaking #pathogens. @mfseidl.bsky.social &co use #pangenome graph analyses of 19 resistance-breaking races of an #oomycete pathogen to identify several effectors @plosbiology.org 🧪 plos.io/4qA6nKC

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Haplotype comparison of the fully phased chromosome 9 uncovers a variety of evolutionary processes. Top: Explanation of the approach to assign haplotypes to accessory nodes of the pangenome and subsequent visualization: 1. create a pangenome graph and parse its variation; 2. the graph is transformed into a sequence alignment for visualization; 3. the core and unique nodes remain unchanged, while the accessory nodes are recursively assigned to different haplotypes. Middle: Pangenome graph of the phased chromosome 9 created with Minigraph-Cactus and visualized with Bandage. The nodes of the graph are coloured based on the haplotypes assigned in the bottom panel. Bottom: Alignment of haplotypes of chromosome 9 for all phased P. effusa isolates, derived from the pangenome graph in 4 kb windows, as described in the top panel.

Haplotype comparison of the fully phased chromosome 9 uncovers a variety of evolutionary processes. Top: Explanation of the approach to assign haplotypes to accessory nodes of the pangenome and subsequent visualization: 1. create a pangenome graph and parse its variation; 2. the graph is transformed into a sequence alignment for visualization; 3. the core and unique nodes remain unchanged, while the accessory nodes are recursively assigned to different haplotypes. Middle: Pangenome graph of the phased chromosome 9 created with Minigraph-Cactus and visualized with Bandage. The nodes of the graph are coloured based on the haplotypes assigned in the bottom panel. Bottom: Alignment of haplotypes of chromosome 9 for all phased P. effusa isolates, derived from the pangenome graph in 4 kb windows, as described in the top panel.

#Plant pathogens secrete effectors to establish infections, but resistant crops select for resistance-breaking #pathogens. @mfseidl.bsky.social &co use #pangenome graph analyses of 19 resistance-breaking races of an #oomycete pathogen to identify several effectors @plosbiology.org 🧪 plos.io/4qA6nKC

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#Oomycete
#MPMI

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#Oomycete
#MPMI

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#Phytophthora
#Oomycete
#ArbuscularMycorrhiza
#Funneliformis
#MPMI

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Sudden oak death pathogen detected for the first time in Minnesota nursery University of Minnesota researchers detected the pathogen that causes sudden oak death in Minnesota for the first time. Sudden oak death is a tree disease that has devastated forests on the West…

Sudden #oak #death #pathogen detected for the first time in #Minnesota nursery ...

| #SuddenOakDeath | #disease | #Phytophthora | #oomycete | Via @sciencex.bsky.social

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Phytophthora ramorum is an invasive generalist plant pathogen introduced to North America and Europe in the
mid-1990s and is now established in forests and the nursery industry. It causes sudden oak death in the western
US and sudden larch death in Western Europe, leading to extensive forest decline and mortality. While well
studied in California and Oregon, no quantitative assessment exists for its potential economic impact on European
forestry. We assessed the potential direct economic impact of P. ramorum on larch and beech in Europe
under a “no-control” scenario. Climatically optimal areas for disease expression were derived using the CLIMEX
niche model with refined parameter values, updated climate data, and P. ramorum occurrence records from
symptomatic forest trees. These areas were overlaid with host distribution data to identify assets at risk. We then
applied a radial range expansion model and a partial budgeting method to quantify annualized average damage
costs. Our results indicate that 10 % of the study area is climatically optimal for disease expression. Within that
area, 4 223 km² of larch and 2 577 km² of beech are at risk. Under worst-case spread and mortality assumptions,
annual direct damage costs could exceed €117 million for larch and €130 million for beech. Countries such as the
UK, Italy, Austria, and Germany face the highest risks, while potential impacts in Southern Europe are negligible.
This study provides an updated risk assessment of the current post-invasion state of P. ramorum in Europe,
facilitating informed decision-making and the development of appropriate management strategies.

Phytophthora ramorum is an invasive generalist plant pathogen introduced to North America and Europe in the mid-1990s and is now established in forests and the nursery industry. It causes sudden oak death in the western US and sudden larch death in Western Europe, leading to extensive forest decline and mortality. While well studied in California and Oregon, no quantitative assessment exists for its potential economic impact on European forestry. We assessed the potential direct economic impact of P. ramorum on larch and beech in Europe under a “no-control” scenario. Climatically optimal areas for disease expression were derived using the CLIMEX niche model with refined parameter values, updated climate data, and P. ramorum occurrence records from symptomatic forest trees. These areas were overlaid with host distribution data to identify assets at risk. We then applied a radial range expansion model and a partial budgeting method to quantify annualized average damage costs. Our results indicate that 10 % of the study area is climatically optimal for disease expression. Within that area, 4 223 km² of larch and 2 577 km² of beech are at risk. Under worst-case spread and mortality assumptions, annual direct damage costs could exceed €117 million for larch and €130 million for beech. Countries such as the UK, Italy, Austria, and Germany face the highest risks, while potential impacts in Southern Europe are negligible. This study provides an updated risk assessment of the current post-invasion state of P. ramorum in Europe, facilitating informed decision-making and the development of appropriate management strategies.

Work of Stelios Kartakis on the framework of @purpest-eu.bsky.social project:

"Modeling disease expression of #Phytophthora ramorum to estimate potential #EconomicImpacts in #EuropeanForests"

doi.org/10.1016/j.fo...

#ForestPathogen
#PlantBiosecurity
#InvasivePlantPathogen
#Oomycete

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Pest survey card on Phytophthora ramorum (non‐EU isolates) This document provides the conclusions of the pest survey card that was prepared in the context of the EFSA mandate on plant pest surveillance (M‐2020‐0114) at the request of the European Commission. ...

Pest survey card on #Phytophthora ramorum (non‐EU isolates) | EFSA
www.efsa.europa.eu/en/supportin...

@efsa.europa.eu

#PlantHealth
#PlantBiosecurity
#InvasivePlantPathogens
#Oomycete

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First case of deadly tree disease confirmed in Minnesota University of Minnesota researchers have confirmed the state’s first case of a tree disease responsible for sudden oak death, but it appears to be an isolated incident.

First incidence of deadly #tree #disease confirmed in #Minnesota ...

| #SuddenOakDeath | #pathogen | #Phytophthora | #oomycete | Via @mprnews.org

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#Oomycete
#Oomycetes

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Deadly tree-killing disease found in Minnesota for first time Researchers with the University of Minnesota have discovered a tree-killing pathogen in the state for the first time.

Deadly #tree-killing #disease found in #Minnesota for first time ...

| #pathogen | #SuddenOakDeath | #oomycete | #Phytophthora | Via kttc .com

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#MPMI

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The #Phytophthora Research Centre team (Mendel University in Brno) welcomes Marylise Marchand from @anses-fr.bsky.social (Laboratoire de la Santé des Végétaux – Unité de Mycologie, Nancy, France).

Diving into morphology and all #Oomycete wonders...

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#Phytophthora
#Oomycete
#MPMI

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Qualtrics Survey | Qualtrics Experience Management The most powerful, simple and trusted way to gather experience data. Start your journey to experience management and try a free account today.

#FungiDB/#VEuPathDB & #Ensembl are teaming up to improve #fungal & #oomycete genome resources for #phytopathogens — & we want your input! 🧬🍄

🗓️ Complete the survey by Nov 1, 2025:
🔗 zurl.co/gKjC1
Your feedback will guide genome curation, annotation & data integration #genomics #foodsecurity

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The Oospore 6/2020 13 X 20 inches [33 X 50.8 cm] Graphite on Paper #sciart #gawoski #oomycete

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Saw some downy mildew (caused by Plasmopara viticola) on my wild grape earlier today! First time seeing it in person in my yard! #oomycete

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EPPO STANDARD ON DIAGNOSTICS
PM 7/26 (2) #Phytophthora cinnamomi
doi.org/10.1111/epp....

#Oomycete
#PlantPathology

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#Oomycetes #Oomycete
#Mycovirus #Oomyvirus

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Phyto-World! 🌿
I am looking for a Peronospora variabilis isolate (downy mildew in quinoa).
Please spread the word and help connect me with anyone who’s got a culture or experience. 🙏 Any leads appreciated!
Thanks!🎉

#PlantPath #PeronosporaVariabilis #Quinoa #DownyMildew #Phytopathology #Oomycete

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Novel endornaviruses infecting Phytophthora cactorum that attenuate vegetative growth, promote sporangia formation and confer hypervirulence to the host oomycete Two novel endornaviruses were found in Phytophthora cactorum isolated from black lesions on Boehmeria nivea var. nipononivea plants in a Japanese forest. These two endornaviruses were named Phytophtho...

Kohei Sakuta:
Novel endornaviruses infecting #Phytophthora cactorum that attenuate vegetative growth, promote sporangia formation and confer #hypervirulence to the host #oomycete.

#Mycoviruses? Ooviruses? Oomycoviruses?
Or
Oomyviruses?? Oo-my-viruses!! (Francine Govers)
doi.org/10.1099/jgv....

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The virome of the panglobal, wide host-range plant pathogen Phytophthora cinnamomi: Phylogeography and evolutionary insights Abstract. Phytophthora cinnamomi stands out as one of the most devastating plant pathogens worldwide, rapidly expanding its range and impacting a wide rang

Congratulations Leticia Botella, amazing work!
Advanced article:
"The virome of the panglobal, wide host-range plant pathogen
#Phytophthora cinnamomi: #Phylogeography and evolutionary
insights".
#Oomycete
#Coevolution
#Mycoviruses? Or "Ooviruses"? “Oomycoviruses?”
doi.org/10.1093/ve/v...

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Super!! Looking forward to meet you there and get to know some amazing South African ecosystems and their #Oomycete communities!

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Schematic representation of effector cleavage in Phytophthora

Schematic representation of effector cleavage in Phytophthora

Piecing together #oomycete effector processing and host translocation

📖 nph.onlinelibrary.wiley.com/doi/10.1111/nph.20291

👆 A #Commentary by Claudia-Nicole Meisrimler & Sophie Eccersall on Xu et al.
👇

📖 nph.onlinelibrary.wiley.com/doi/10.1111/nph.20130

#LatestIssue

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Oomycete community composition from soil collected near 10 tree species in a lowland tropical forest in Panama.

Oomycete community composition from soil collected near 10 tree species in a lowland tropical forest in Panama.

🌱🦠From the upcoming #AJB Plant-Microbe Interactions special section🦠🌱

#Oomycete communities in lowland tropical #forest soils vary in species abundance & comprise saprophytes & #pathogens of seeds & seedlings of multiple plant species

By Kirk Broders et al.

doi.org/10.1002/ajb2...

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Genome sequences for twenty-four Phytophthora and one Nothophytophthora species for the study of the evolution of pathogenicity in Peronosporaceae - Mycological Progress Oomycetes classified in the genera Phytophthora and Nothophytophthora encompass a wide range of lifestyles, from saprotrophic and water-borne to destructive soil-borne or wind-dispersed plant pathogen...

Genome sequences for twenty-four #Phytophthora and one #Nothophytophthora species for the study of the evolution of pathogenicity in #Peronosporaceae
doi.org/10.1007/s115...
#Oomycete #Oomycota #Peronosporales
#Evolution #Genomics

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High diversity of Phytophthora species in natural ecosystems and nurseries of Portugal: Detrimental side effect of plant introductions from the age of discovery to modern globalization High diversity of known and new, mostly exotic Phytophthora species in forests, nurseries and streams across Portugal and numerous associated forest tree declines are a consequence of long-term plant...

Just out:
“High diversity of #Phytophthora species in natural ecosystems and nurseries of Portugal: detrimental side effect of plant introductions from the age of discovery to modern globalization”
doi.org/10.1111/ppa....
#Oomycete #biosecurity #NatureRestorationLaw
#GenerationRestoration

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