Identification and validation of quantitative trait loci for the functional stay green trait in common wheat (Triticum aestivum L.) via high-density SNP-based genotyping.

This study identified QTLs associated with the functional stay green trait by a high-density genetic map. Two large effect QTLs, QSg.sau-2B.1 and QSg.sau-6A.2, were identified in multiple years and one of them was successfully validated. The functional stay green phenotype enables wheat to acclimate to stressful environments and prolongs the effectiveness of photosynthesis during the end-of-crop season. Despite the fact that stay green mutants in wheat have been reported, our knowledge of loci for the functional stay green trait remains limited. In this study, an RIL population containing 371 lines genotyped using the Wheat55K SNP array was used to map QTLs controlling the functional stay green trait in multiple years. In total, 21 and 19 QTLs were mapped using the BIP or MET modules of the ICIM method, respectively. Among them, two QTLs, QSg.sau-2B.1 and QSg.sau-6A.2, were considered large effect QTLs for the stay green trait and explained 11.43% and 15.27% of phenotypic variation on average, respectively. Two KASP markers were developed and tightly linked to QSg.sau-2B.1 and QSg.sau-6A.2, respectively, and the genetic effects of different genotypes in the RIL population were successfully confirmed. QSg.sau-2B.1 was also validated by linked KASP marker in different genetic backgrounds. QSg.sau-2B.1 and QSg.sau-6A.2 may influence heredity of the stay green trait and also exhibited a positive effect on the grain filling content. In the interval where QSg.sau-2B.1 and QSg.sau-6A.2 were located on the Chinese Spring and T. turgidum ssp. dicoccoides reference genomes, several genes associated with the leaf senescence process were identified. Altogether, our results identified two QTLs associated with the functional stay green trait and will be useful for the fine mapping and cloning of genes for stay green in the future.