Mapping quantitative trait loci for seminal root angle in a selected durum wheat population

Author:

Kang Yichen1ORCID,Alahmad Samir1ORCID,Haeften Shanice V.1,Akinlade Oluwaseun1,Tong Jingyang1,Dinglasan Eric1,Voss‐Fels Kai P.2ORCID,Potgieter Andries B.3,Borrell Andrew K.4,Makhoul Manar5,Obermeier Christian5,Snowdon Rod5ORCID,Mace Emma4,Jordan David R.4,Hickey Lee T.1ORCID

Affiliation:

1. Centre for Crop Science, Queensland Alliance for Agriculture and Food Innovation The University of Queensland Brisbane Queensland Australia

2. Department of Grapevine Breeding Geisenheim University Geisenheim Germany

3. Centre for Crop Science, Queensland Alliance for Agriculture and Food Innovation The University of Queensland Gatton Queensland Australia

4. Centre for Crop Science, Queensland Alliance for Agriculture and Food Innovation The University of Queensland, Hermitage Research Facility Warwick Queensland Australia

5. Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition Justus Liebig University Gießen Germany

Abstract

AbstractSeminal root angle (SRA) is an important root architectural trait associated with drought adaptation in cereal crops. To date, all attempts to dissect the genetic architecture of SRA in durum wheat (Triticum durum Desf.) have used large association panels or structured mapping populations. Identifying changes in allele frequency generated by selection provides an alternative genetic mapping approach that can increase the power and precision of QTL detection. This study aimed to map quantitative trait loci (QTL) for SRA by genotyping durum lines created through divergent selection using a combination of marker‐assisted selection (MAS) for the major SRA QTL (qSRA‐6A) and phenotypic selection for SRA over multiple generations. The created 11 lines (BC1F2:5) were genotyped with genome‐wide single‐nucleotide polymorphism (SNP) markers to map QTL by identifying markers that displayed segregation distortion significantly different from the Mendelian expectation. QTL regions were further assessed in an independent validation population to confirm their associations with SRA. The experiment revealed 14 genomic regions under selection, 12 of which have not previously been reported for SRA. Five regions, including qSRA‐6A, were confirmed in the validation population. The genomic regions identified in this study indicate that the genetic control of SRA is more complex than previously anticipated. Our study demonstrates that selection mapping is a powerful approach to complement genome‐wide association studies for QTL detection. Moreover, the verification of qSRA‐6A in an elite genetic background highlights the potential for MAS, although it is necessary to combine additional QTL to develop new cultivars with extreme SRA phenotypes.

Funder

Grain Research and Development Corporation

Publisher

Wiley

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