Abstract: Introgression predictions for wheat collections from Schulthess et al. (2022, https://doi.org/10.1038/s41588-022-01189-7) using GBS and WGS data. Introgressions were predicted based on the percentage bases covered in 1-Mb windows along the Chinese Spring version 2.1 genome assembly. Introgressions are labeled with -1 or 1, while unchanged regions are labeled with 0. The label -1 indicates an unexpected low percentage of bases covered, while the label 1 indicates an unexpected high percentage of bases covered. For more information, we refer to our paper "Finding needles in a haystack: Identification of inter-specific introgressions in wheat genebank collections using low-coverage sequencing data" (https://doi.org/10.0.13.61/fpls.2023.1166854). We also provide the R scripts that was used to label the genomic windows based on the coverage data.
License: CC BY-NC-SA 4.0 (Creative Commons Attribution-Non-Commercial-ShareAlike)
DOI: 10.5447/ipk/2023/7
Content: 0 Directories 0 Files (249.9 MB)
| CS_2.1_GBS_introgression.tsv | 228.8 MB |
| CS_2.1_WGS_introgression.tsv | 20.9 MB |
| CS_2.1_windows.txt | 217.9 KB |
| search_GBS.R | 2.6 KB |
| search_WGS.R | 3.1 KB |
| CONTRIBUTOR: | |
| CREATOR: |
Jens Keilwagen
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| PUBLISHER: | Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland OT Gatersleben, Corrensstraße 3, 06466, Germany |
| SIZE: | 249.9 MB |
| SUBJECT: | wheat, introgression, genebank |