ArticlePloS one2020
Identification and validation of early genetic biomarkers for apple replant disease.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Establishing a biomarker set for the diagnosis of apple replant disease using qPCR.Horticulture research · 2026Article
- An efficient static sampling method for in situ measurement of rhizosphere volatile organic compounds in plant-soil systems.Plant methods · 2026Article
- Transient colonization by Priestia megaterium B1L5 alters the structure of the rhizosphere microbiome towards potential plant beneficial bacterial groups in apple plantlets.Environmental microbiome · 2025Article
- Inoculation of apple plantlets with Rhodococcus pseudokoreensis R79BMC plant biology · 2025Article
- Catch crop amendments and microbial inoculants differently modulate apple rhizosphere microbiomes and plant responses.FEMS microbiology ecology · 2025Article
- A quantitative prediction method utilizing whole omics data for biosensing.Scientific reports · 2025Article
- Rhizosphere competent inoculants modulate the apple root-associated microbiome and plant phytoalexins.Applied microbiology and biotechnology · 2024Article
- (Pan)genomic analysis of twoMicrobiology spectrum · 2024Article
- Biphenyls and dibenzofurans of the rosaceous subtribe Malinae and their role as phytoalexins.Planta · 2023Review
- Deciphering the Mechanism of Tolerance to Apple Replant Disease Using a Genetic Mapping Approach in a Malling 9 ×International journal of molecular sciences · 2023Article
- Identification of Candidate Genes Associated With Tolerance to Apple Replant Disease by Genome-Wide Transcriptome Analysis.Frontiers in microbiology · 2022Article
- Correction: Identification and validation of early genetic biomarkers for apple replant disease.PloS one · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Apple replant disease (ARD) is a serious threat to producers of apple trees and fruits worldwide. The ARD etiology is not unraveled and managing options are either economically not applicable or environmentally harmful. Thus, interest is given in biomarkers that allow to indicate ARD situations at early time points in order to classify soils according to ARD severity but also to analyze the effectiveness to potential countermeasures. This study aimed at (i) identifying ARD biomarkers on the transcriptional level in root tissue by analyzing the expression of previously identified candidate genes in ARD soils of different origin and texture and (ii) testing the specificity of these marker genes to ARD. In vitro propagated M26 plantlets were submitted to a bio-test with three ARD soils, either untreated or disinfected by γ-irradiation. Expression of seven candidate genes identified in a previous transcriptomic study was investigated by RT-qPCR in a time course experiment. Already three days after planting, a prominent upregulation of the phytoalexin biosynthesis genes biphenyl synthase 3 (BIS3) and biphenyl 4-hydroxylase (B4Hb) was observed in the untreated ARD variants of all three soils. The phytoalexin composition in roots was comparable for all three soils and the total phytoalexin content correlated with the expression of BIS3 and B4Hb. The third promising candidate gene that was upregulated under ARD conditions was the ethylene-responsive transcription factor 1B-like (ERF1B). In a second experiment M26 plantlets were exposed to different abiotic stressors, namely heat, salt and nutrient starvation, and candidate gene expression was determined in the roots. The expression levels of BIS3 and B4Hb were highly and specifically upregulated in ARD soil, but not upon the abiotic stress conditions, whereas ERF1B also showed higher expression under heat stress. In conclusion, BIS3 and B4Hb are recommended as early ARD biomarkers due to their high expression levels and their high specificity.
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