ArticleScientific reports2016
Molecular markers for tolerance of European ash (Fraxinus excelsior) to dieback disease identified using Associative Transcriptomics.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
23 citing papers in PubMed, 87 citations in OpenAlex.
- Constitutive Metabolite Profiling of European and Asian Fraxinus with Varying Susceptibility to Ash Dieback.Journal of chemical ecology · 2026Article
- Article
- Fraxinus excelsior updated long-read genome reveals the importance of MADS-box genes in tolerance mechanisms against ash dieback.G3 (Bethesda, Md.) · 2025Article
- Multiple, Single Trait GWAS and Supervised Machine Learning Reveal the Genetic Architecture of Fraxinus excelsior Tolerance to Ash Dieback in Europe.Plant, cell & environment · 2025Article
- Transcriptional time-course analysis during ash dieback infection revealed different responses in tolerant and susceptible Fraxinus excelsior genotypes.BMC plant biology · 2025Article
- Genomic prediction of resistance toEvolutionary applications · 2024Article
- Genome-Wide SNP Markers Accelerate Perennial Forest Tree Breeding Rate for Disease Resistance through Marker-Assisted and Genome-Wide Selection.International journal of molecular sciences · 2022Review
- Host-Pathogen Interactions in Leaf Petioles of Common Ash and Manchurian Ash Infected withMicroorganisms · 2022Article
- Transcriptomics of Biostimulation of Plants Under Abiotic Stress.Frontiers in genetics · 2021Review
- Transcriptional responses in developing lesions of European common ash (Fraxinus excelsior) reveal genes responding to infection by Hymenoscyphus fraxineus.BMC plant biology · 2020Article
- AFrontiers in plant science · 2020Article
- Advanced spectroscopy-based phenotyping offers a potential solution to the ash dieback epidemic.Scientific reports · 2018Article
- Genome-wide epigenetic variation among ash trees differing in susceptibility to a fungal disease.BMC genomics · 2018Article
- Genotyping-by-sequencing through transcriptomics: implementation in a range of crop species with varying reproductive habits and ploidy levels.Plant biotechnology journal · 2018Article
- Validation of an updated Associative Transcriptomics platform for the polyploid crop species Brassica napus by dissection of the genetic architecture of erucic acid and tocopherol isoform variation in seeds.The Plant journal : for cell and molecular biology · 2018Article
- The Endophytic Mycobiome of European Ash and Sycamore Maple Leaves - Geographic Patterns, Host Specificity and Influence of Ash Dieback.Frontiers in microbiology · 2018Article
- Ash leaf metabolomes reveal differences between trees tolerant and susceptible to ash dieback disease.Scientific data · 2017Article
- A first assessment of Fraxinus excelsior (common ash) susceptibility to Hymenoscyphus fraxineus (ash dieback) throughout the British Isles.Scientific reports · 2017Article
- Exploring public perceptions of solutions to tree diseases in the UK: Implications for policy-makers.Environmental science & policy · 2017Article
- Developing publicly acceptable tree health policy: public perceptions of tree-breeding solutions to ash dieback among interested publics in the UK.Forest policy and economics · 2017Article
Corrections and comments
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Authors and funding
15 authors at 5 institutions in 2 countries.
Funding
Abstract
Tree disease epidemics are a global problem, impacting food security, biodiversity and national economies. The potential for conservation and breeding in trees is hampered by complex genomes and long lifecycles, with most species lacking genomic resources. The European Ash tree Fraxinus excelsior is being devastated by the fungal pathogen Hymenoscyphus fraxineus, which causes ash dieback disease. Taking this system as an example and utilizing Associative Transcriptomics for the first time in a plant pathology study, we discovered gene sequence and gene expression variants across a genetic diversity panel scored for disease symptoms and identified markers strongly associated with canopy damage in infected trees. Using these markers we predicted phenotypes in a test panel of unrelated trees, successfully identifying individuals with a low level of susceptibility to the disease. Co-expression analysis suggested that pre-priming of defence responses may underlie reduced susceptibility to ash dieback.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.