Search Results - "Sperschneider, Jana"
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EffectorP 3.0: Prediction of Apoplastic and Cytoplasmic Effectors in Fungi and Oomycetes
Published in Molecular plant-microbe interactions (01-02-2022)“…Many fungi and oomycete species are devasting plant pathogens. These eukaryotic filamentous pathogens secrete effector proteins to facilitate plant infection…”
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ApoplastP: prediction of effectors and plant proteins in the apoplast using machine learning
Published in The New phytologist (01-03-2018)“…The plant apoplast is integral to intercellular signalling, transport and plant–pathogen interactions. Plant pathogens deliver effectors both into the apoplast…”
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EffectorP: predicting fungal effector proteins from secretomes using machine learning
Published in The New phytologist (01-04-2016)“…Eukaryotic filamentous plant pathogens secrete effector proteins that modulate the host cell to facilitate infection. Computational effector candidate…”
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LOCALIZER: subcellular localization prediction of both plant and effector proteins in the plant cell
Published in Scientific reports (16-03-2017)“…Pathogens secrete effector proteins and many operate inside plant cells to enable infection. Some effectors have been found to enter subcellular compartments…”
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Emergence of the Ug99 lineage of the wheat stem rust pathogen through somatic hybridisation
Published in Nature communications (07-11-2019)“…Parasexuality contributes to diversity and adaptive evolution of haploid (monokaryotic) fungi. However, non-sexual genetic exchange mechanisms are not defined…”
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DotKnot: pseudoknot prediction using the probability dot plot under a refined energy model
Published in Nucleic acids research (01-04-2010)“…RNA pseudoknots are functional structure elements with key roles in viral and cellular processes. Prediction of a pseudoknotted minimum free energy structure…”
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Loss of AvrSr50 by somatic exchange in stem rust leads to virulence for Sr50 resistance in wheat
Published in Science (American Association for the Advancement of Science) (22-12-2017)“…Race-specific resistance genes protect the global wheat crop from stem rust disease caused by Puccinia graminis f. sp. tritici (Pgt) but are often overcome…”
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Advances and challenges in computational prediction of effectors from plant pathogenic fungi
Published in PLoS pathogens (01-05-2015)“… Apoplastic effectors, in particular, often contain several disulfide bonds [17] and predicted secretomes of pathogenic fungi contain proteins with elevated…”
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Genome sequencing and comparative genomics of the broad host-range pathogen Rhizoctonia solani AG8
Published in PLoS genetics (01-05-2014)“…Rhizoctonia solani is a soil-borne basidiomycete fungus with a necrotrophic lifestyle which is classified into fourteen reproductively incompatible anastomosis…”
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Physical separation of haplotypes in dikaryons allows benchmarking of phasing accuracy in Nanopore and HiFi assemblies with Hi-C data
Published in Genome Biology (25-03-2022)“…Most animals and plants have more than one set of chromosomes and package these haplotypes into a single nucleus within each cell. In contrast, many fungal…”
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A functional genomics approach to dissect spotted alfalfa aphid resistance in Medicago truncatula
Published in Scientific reports (17-12-2020)“…Aphids are virus-spreading insect pests affecting crops worldwide and their fast population build-up and insecticide resistance make them problematic to…”
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Genomics accelerated isolation of a new stem rust avirulence gene–wheat resistance gene pair
Published in Nature plants (01-09-2021)“…Stem rust caused by the fungus Puccinia graminis f. sp. tritici ( Pgt ) is a devastating disease of the global staple crop wheat. Although this disease was…”
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Comparative genomics and prediction of conditionally dispensable sequences in legume-infecting Fusarium oxysporum formae speciales facilitates identification of candidate effectors
Published in BMC genomics (05-03-2016)“…Soil-borne fungi of the Fusarium oxysporum species complex cause devastating wilt disease on many crops including legumes that supply human dietary protein…”
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An RNAi supplemented diet as a reverse genetics tool to control bluegreen aphid, a major pest of legumes
Published in Scientific reports (31-01-2020)“…Aphids are important agricultural pests causing major yield losses worldwide. Since aphids can rapidly develop resistance to chemical insecticides there is an…”
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Genome-Enabled Analysis of Population Dynamics and Virulence-Associated Loci in the Oat Crown Rust Fungus Puccinia coronata f. sp. avenae
Published in Molecular plant-microbe interactions (01-03-2024)“…f. sp. ( ) is an important fungal pathogen causing crown rust that impacts oat production worldwide. Genetic resistance for crop protection against is often…”
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Flax rust infection transcriptomics reveals a transcriptional profile that may be indicative for rust Avr genes
Published in PloS one (12-12-2019)“…Secreted effectors of fungal pathogens are essential elements for disease development. However, lack of sequence conservation among identified effectors has…”
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Identification and profiling of narrow-leafed lupin (Lupinus angustifolius) microRNAs during seed development
Published in BMC genomics (14-02-2019)“…Whilst information regarding small RNAs within agricultural crops is increasing, the miRNA composition of the nutritionally valuable pulse narrow-leafed lupin…”
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A highly contiguous genome assembly reveals sources of genomic novelty in the symbiotic fungus Rhizophagus irregularis
Published in G3 : genes - genomes - genetics (01-06-2023)“…Abstract The root systems of most plant species are aided by the soil-foraging capacities of symbiotic arbuscular mycorrhizal (AM) fungi of the Glomeromycotina…”
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The stem rust fungus Puccinia graminis f. sp. tritici induces centromeric small RNAs during late infection that are associated with genome-wide DNA methylation
Published in BMC biology (15-09-2021)“…Silencing of transposable elements (TEs) is essential for maintaining genome stability. Plants use small RNAs (sRNAs) to direct DNA methylation to TEs…”
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Machine learning in plant–pathogen interactions: empowering biological predictions from field scale to genome scale
Published in The New phytologist (01-10-2020)“…Machine learning (ML) encompasses statistical methods that learn to identify patterns in complex datasets. Here, I review application areas in plant–pathogen…”
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