Data from: Limitations of ad hoc genotyping in detecting ash dieback tolerance in Fraxinus excelsior
Data files
Feb 17, 2026 version files 166.68 MB
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raw_data.zip
166.67 MB
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README.md
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Abstract
The data presented here was generated to study common ash tolerance to Ash dieback (ADB), caused by the invasive alien fungal pathogen Hymenoscyphus fraxineus. The data was generated from a field trial aiming at the identification of ADB tolerant genotypes while encompassing the genetic diversity of common ash in Austria. Over 35,000 progenies from 611 putatively tolerant mother trees and a selection of 71 clones from two clonal seed orchards were assessed for ADB symptoms over a period of three years. One tolerant and one susceptible progeny from a subset of the mother tree range (570 trees) were genotyped using the 4TREE array, a genotyping tool developed specifically to screen common ash populations for their tolerance to ADB.
Dataset DOI: 10.5061/dryad.m905qfv9w
Fraxinus excelsior 4TREE SNP array data
Name: Aglaia Szukala
Institution: Austrian Research Center for Forests (BFW)
Email: aglaia.szukala@bfw.gv.at
Name: Heino Konrad
Institution: Austrian Research Center for Forests (BFW)
Email: heino.konrad@bfw.gv.at
Dataset Overview
This archive contains the raw data required to replicate analyses in Szukala, A., Unger, G.M., Trujillo-Moya C., Geburek, T., Kirisits, T., Schueler, S., and Konrad, H. (2025). Limitations of ad hoc genotyping in detecting ash dieback tolerance in Fraxinus excelsior. Tree genetics & Genomes, doi: 10.1007/s11295-025-01725-6
Filtered data and code can be retrived under this gitHub directory: https://github.com/aglaszuk/AshDiebackGenomics
Data Scope
Data was collected to investigate the genetic basis of tolerance to ash dieback (ADB) in Fraxinus excelsior
Recommended Citation
Szukala, A., Unger, G.M., Trujillo-Moya C., Geburek, T., Kirisits, T., Schueler, S., and Konrad, H. (2025). Limitations of ad hoc genotyping in detecting ash dieback tolerance in Fraxinus excelsior. Tree genetics & Genomes, doi: 10.1007/s11295-025-01725-6
Description of the data and file structure
Sample Tracking
All samples were processed using a multi-channel pipette to minimize tracking errors. All samples were tracked during assay execution using a LIMS system.
Files and Folders
raw_data.zip
The files contained in this zip archive were generated by Thermo Fisher Scientific.
Files and subfolders contained in the raw_data.zip
AxiomGT1.calls.txt
Standard Axiom genotypes in flat text file format, with one row per probeset_id and one column per *.CEL. This file contains header columns (e.g.,#[comment]…) followed by the matrix of data. The call translations should be described in the header comments.
- The probeset_id (with prefix “AX-”) is a unique identifier for a probe set that is used to interrogate a marker. The column headers contain the path and name of the CEL used in Axiom GT1 analysis.
- The [array barcode].CEL part of the column header can be matched to the sample ID in Axiom Analysis Suite.
AxiomGT1.confidences.txt
Standard Axiom confidences in flat text file format, with one row per probeset_id and one column per *.CEL. The Axiom GT1 confidences matrix file is similar to the Axiom GT1 calls matrix file, except confidence values are given in place of the calls. The confidence score = 1- Pr(x), where X is the called genotype. 0 is the highest confidence and 1 is the lowest confidence. Confidence values are similar to p-values, but are not p-values.
AxiomGT1.report.txt
Summary values (call rate, het rate) per sample, for Axiom Analysis Suite.
AxiomGT1.snp-posteriors.txt
Standard Axiom posteriors (cluster boundaries, including means and variance) in flat text file format, with one row per probe set. The posteriors are defined by experimental data, combining information from priors. Output format is described in the header. The information in this file can be used to help with SNP filtering.
AxiomGT1.summary.txt
Table with one row per ProbeSet+Allele (A or B) and one column per .CEL file. Each entry in the table is the summarized intensity for the ProbeSet+Allele+Sample. The summarized intensities are produced by quantile normalizing the raw intensity of each feature in the *.CEL file to a constant or dynamic sketch. The normalized intensities of replicated features for the same probe are summarized.
cluster_summary.txt
report file that summarizes the sample and SNP QC results of the genotyping cluster.
QC
Subfolder containing QC data for Axiom Analysis Suite.
- AxiomSS1.calls.txt: calls from signature SNP genotyping; will not be present if signature SNP genotyping was not done.
- AxiomSS1.confidences.txt: confidences from signature SNP genotyping; will not be present if signature SNP genotyping was not done.
- AxiomSS1.report.txt: report from signature SNP genotyping; will not be present if signature SNP genotyping was not done.
- Geno-qcResults.txt: table with dQC information per sample
- GenotypingQC.report.txt: table with QC CR information per sample
- PlateQCDetails.txt: file with QC details per plate.
- Plate_QCSummary.txt: table with QC metrics per plate
- Sample_QCFilteredCR.txt: table with filtered CR and het rate information per sample
- Sample_QCSummary.txt: file summary information.
- sample_QC_cel_files.txt: CEL files passing dQC cutoff, used for QC CR genotyping.
Access information
Other publicly accessible locations of the data:
Data was derived from the following sources:
- Axiom Genotyping Services Projects
Please refer to this publication for a detailed description of the experimental design:
Szukala, A., Unger, G.M., Trujillo-Moya C., Geburek, T., Kirisits, T., Schueler, S., and Konrad, H. (2025). Limitations of ad hoc genotyping in detecting ash dieback tolerance in Fraxinus excelsior. Tree genetics & Genomes, doi: 10.1007/s11295-025-01725-6
Summary:
To establish a sufficiently large breeding base of resistant clones, we selected 611 putatively ADB tolerant and seed-bearing single trees (i.e., functional females) of F. excelsior distributed in forests across Austria. Forest stands were selected based on the rare presence of remarkably healthy or only slightly damaged trees despite these being surrounded by a high number of infected and heavily damaged or dead individuals, whereas sites in rural settings or in areas with low disease incidence were avoided because of insufficient infection pressure.
Seeds were harvested in 2015 and 2017 from the selected ash trees (i.e., putatively ADB tolerant mothers, with the only exception of few mothers growing in the seed orchards). From the sown seeds 35,718 seedlings germinated and were reared in plastic multi-container blocks in the experimental nursery of the Austrian Research Centre for Forests (BFW) in Tulln an der Donau (Lower Austria). To systematically assess the susceptibility to ADB over a three-year period, the one-year-old offspring (on average about 50 seedlings per mother tree) were planted in a 1.5 ha field trial in a completely randomized block-design. To increase the level of natural infection likelihood and thus the selection pressure on the seedlings, ash leaf litter (i.e., pseudosclerotial ash leaf material collected in heavily infested ash stands) was placed between seedlings.
Fraxinus excelsior is characterized by complex seed dormancy: seeds harvested in 2015 germinated during the two following years, in 2016 and 2017, while those harvested in 2017 germinated in 2018 and 2019. Thus, the field trial included four sets of seedlings germinated during four subsequent years (2016 to 2019) and planted in four separate but adjacently arranged sub-trials, named hereafter R1 (established in 2017), R2 (established in 2018), R3 (established in 2019) and R4 (established in 2020; not investigated in the present study). Progeny of sub-trials R1, R2, R3 and R4 were assessed for their susceptibility to ADB (intensity/degree of ADB) annually over a period of three years.
Leaf samples were collected from all offspring seedlings during the years of trial establishment, dried on silica gel and stored at room temperature until DNA extraction. For the present study, offspring from 570 ash mother trees in the sub-trials R1, R2 and R3 were selected for genotyping. These included 503 mother trees from forests, 22 from the seed orchard in Feldkirchen (three assessed as tolerant, five as intermediate and 14 as susceptible) and 45 from the seed orchard in Bad Gleichenberg (7 assessed as tolerant, 9 as intermediate and 29 as susceptible). Where possible, one completely healthy progeny (i.e., DC = 1) and a dead one (i.e., DC = 6) from each of the 570 mother trees were sampled for genotyping in 2020, at the end of the third, second, and first assessment periods in the R1, R2 and R3 field trials, respectively. Where no healthy or dead individuals were available, individuals of intermediate damage classes were chosen instead. For the analyses the final scoring of ADB intensity (third year of documentation) was used for all genotyped samples.
DNA of the selected progenies was extracted at the Austrian Institute of Technology (Tulln an der Donau, Lower Austria) using the Qiagen DNeasy 96 Plant Kit according to the manufacturer’s recommendation. DNA quality and quantity were measured using PicoGreen™ dsDNA Assay Kits (ThermoFisher). We conducted genotyping of a total of 1,107 samples, including 11 technical replicates of the same individual (ID = 32806) to control for potential plate-related technical biases. Thus, the total number of genotyped individual trees was 1,096. Genotyping was done at Thermo Fisher Scientific Inc. using the 4TREE Axiom SNP array (Guilbaud et al. 2020; Archambeau et al. 2023), which encompasses a set of 13,407 SNPs. Highest priority SNPs include 51 associated with low susceptibility to emerald ash borer (Agrilus planipennis) (Kelly et al. 2020), and 1,633 associated with tolerance to ADB (Stocks et al. 2019). Additionally, 200 SNPs are included in the array that distinguish F. angustifolia from F. excelsior based on analyses that discriminated pure individuals of F. excelsior and F. angustifolia from each other.
