Development of PCR-based markers and whole-genome selection model for anthracnose resistance in white lupin (Lupinus albus L.)
Sandra Rychel-Bielska , Nelson Nazzicari , Piotr Plewiński , Wojciech Bielski , Paolo Annicchiarico , Michał Książkiewicz
AbstractWhite lupin (Lupinus albus L.) is a high-protein grain legume crop, grown since ancient Greece and Rome. Despite long domestication history, its cultivation remains limited, partly because of susceptibility to anthracnose. Only some late-flowering, bitter, low-yielding landraces from Ethiopian mountains displayed resistance to this devastating disease. The resistance is controlled by various genes, thereby complicating the breeding efforts. The objective of this study was developing tools for molecular tracking of Ethiopian resistance genes based on genotyping-by-sequencing (GBS) data, envisaging linkage mapping and genomic selection approaches. Twenty GBS markers from two major quantitative trait loci (QTLs), antr04_1/antr05_1 and antr04_2/antr05_2, were converted to PCR-based markers using assigned transcriptome sequences. Newly developed markers improved mapping resolution around both anthracnose resistance loci, providing more precise QTL estimation. PCR-based screening of diversified domesticated and primitive germplasm revealed the high specificity of two markers for the antr04_1/antr05_1 locus (TP222136 and TP47110) and one for the antr04_2/antr05_2 locus (TP338761), highlighted by simple matching coefficients of 0.96 and 0.89, respectively. Moreover, a genomic selection approach based on GBS data of a recombinant inbred line mapping population was assessed, providing an average predictive ability of 0.56. These tools can be used for preselection of candidate white lupin germplasm for anthracnose resistance assays.
|Journal series||Journal of Applied Genetics, ISSN 1234-1983, e-ISSN 2190-3883, (N/A 100 pkt)|
|Publication size in sheets||0.7|
|Keywords in English||White lupin; Marker-assisted selection; Genomic selection; Anthracnose resistance; Quantitative trait|
|License||Journal (articles only); published final; ; with publication|
|Score||= 100.0, 20-04-2021, ArticleFromJournal|
|Publication indicators||= 0; = 0; : 2018 = 0.689; : 2019 = 2.027 (2) - 2019=1.954 (5)|
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