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Michel, S.* ; Wagner, C.* ; Nosenko, T. ; Steiner, B.* ; Samad-Zamini, M.* ; Buerstmayr, M.* ; Mayer, K.F.X. ; Buerstmayr, H.*

Merging genomics and transcriptomics for predicting fusarium head blight resistance in wheat.

Genes 12:114 (2021)
Verlagsversion Forschungsdaten DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Genomic selection with genome-wide distributed molecular markers has evolved into a well-implemented tool in many breeding programs during the last decade. The resistance against Fusarium head blight (FHB) in wheat is probably one of the most thoroughly studied systems within this framework. Aside from the genome, other biological strata like the transcriptome have likewise shown some potential in predictive breeding strategies but have not yet been investigated for the FHB-wheat pathosystem. The aims of this study were thus to compare the potential of genomic with transcriptomic prediction, and to assess the merit of blending incomplete transcriptomic with complete genomic data by the single-step method. A substantial advantage of gene expression data over molecular markers has been observed for the prediction of FHB resistance in the studied diversity panel of breeding lines and released cultivars. An increase in prediction ability was likewise found for the single-step predictions, although this can mostly be attributed to an increased accuracy among the RNA-sequenced genotypes. The usage of transcriptomics can thus be seen as a complement to already established predictive breeding pipelines with pedigree and genomic data, particularly when more cost-efficient multiplexing techniques for RNA-sequencing will become more accessible in the future.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter Fusarium Head Blight ; Genomic Prediction ; Omics-based Prediction ; Transcriptomics ; Wheat
ISSN (print) / ISBN 2073-4425
e-ISSN 2073-4425
Zeitschrift Genes
Quellenangaben Band: 12, Heft: 1, Seiten: , Artikelnummer: 114 Supplement: ,
Verlag MDPI
Verlagsort St Alban-anlage 66, Ch-4052 Basel, Switzerland
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Research Unit Environmental Simulation (BIOP-EUS)
Research Unit Plant Genome and Systems Biology (PGSB)
Förderungen FSOV (Fonds de Soutien a l'Obtention Vegetale)
Austrian Science Funds - Special Research project