Plant Disease Resistance and Genetics

This study identifies a non-coding RNA gene, ARG3, responsible for fungal resistance in sorghum through enhanced cell death and confirms its role via transcript silencing.

The paper compares transcriptomic responses in apple plants with Rvi6-effective and Rvi6-breaking fungal interactions to identify defense-related genes.

This study identifies AvrRvi6 as a fungal effector that evades Rvi6-mediated immunity in apple, revealing ancient virulence diversity in wild Malus species.

This study evaluates PVA-enriched maize inbreds for resistance to foliar diseases, finding that high PVA lines show reduced susceptibility to multiple diseases.

This study identifies Arabidopsis ADFs as susceptibility factors for Colletotrichum higginsianum infection, showing their role in promoting actin fragmentation and suppressing resistance mechanisms.

The paper improves genome assemblies for 12 pathogenic and 6 non-pathogenic Streptomyces type strains, revealing genomic features associated with plant pathogenicity.

The paper identifies seven QTL associated with Leptosphaeria maculans adaptation to Brassica species and finds epistasis contributes to transgressive phenotypes in progeny isolates.

The paper uses whole-genome sequencing and RenSeq to analyze NLR gene diversity in clubroot-resistant canola lines and identifies allele-level variation contributing to resistance.

The paper describes a bioassay for detecting viable Plasmodiophora brassicae in soil samples, showing it can detect as few as 1 resting spore per gram of soil, outperforming qPCR in sensitivity.

This study identifies gene expression markers and glucosinolate profiles associated with resistance to Pyrenopeziza brassicae in Brassica napus.

The paper identifies a major QTL cluster on maize chromosome 1 associated with tar spot resistance using recombinant-inbred lines and genetic analysis.

This study identifies and validates five QTLs associated with apple scab resistance using transcriptomic data and high-resolution genotyping in a biparental population.

The paper uses single plant-transcriptomics to analyze disease resistance in barley, identifying genetic variants associated with resistance to Fusarium graminearum.

This study shows PbGH3, a clubroot pathogen effector, modulates SA-auxin homeostasis in plants to alter root morphology and promote infection.

This study identifies Pita2a as a major gene conferring broad-spectrum neck blast resistance in rice using GWAS and functional validation.

This study shows that OsNUOR modulates rice susceptibility to sheath blight disease by affecting ROS homeostasis and ferroptosis.

This study uses TurboID-based proximity labeling to map the secretome of Plasmodiophora brassicae in Arabidopsis, identifying both known and novel effectors.

This paper introduces a controlled environment assay for evaluating verticillium stripe resistance in canola, validated against field trials showing strong correlation.

The paper generates complete genome assemblies for Australian Plasmodiophora brassicae isolates and reveals a unique, highly divergent clade with distinct effector profiles.

This study identifies four rice HMA domain-containing proteins as targets of the Magnaporthe oryzae effector AVR-Pia and reveals the molecular basis of their interaction.

This study reveals that Rhizoctonia solani AG-8 has two nuclear haplotypes with differing abundances and gene expression patterns during plant infection.

This study shows that disrupting the SnRK1β1A gene in rice confers broad-spectrum resistance to fungal diseases without affecting growth or yield.

The paper identifies Avr6 as the effector gene in Fulvia fulva that overcomes Cf-6-mediated immunity in tomato, showing its loss or mutation leads to resistance breakdown.

The paper investigates how temperature changes affect maize-Ustilago maydis interactions by analyzing transcriptomic data and identifying key factors influencing infection.

The paper screens 20 uncharacterized Lupinus angustifolius accessions for resistance to Fusarium oxysporum f. sp. lupini and identifies L26 as the most resistant and L49 as the most susceptible.

The paper screens Arabidopsis ecotypes for clubroot resistance, identifies novel resistant lines, and explores genetic mechanisms underlying resistance.

This study assesses genetic resistance to major tomato diseases in wild and cultivated germplasm, identifying wild species as rich sources of resistance loci.

The paper integrates multi-omic data to identify regulatory networks underlying disease resistance in maize, revealing a key signaling module involved in resistance to northern leaf blight.