Fine mapping and candidate gene prediction of a major QTL for kernel number per ear in maize

Abstract

Kernel number per ear (KNE) is a maize yield component and an important breeding target for improving grain yield. As a complex quantitative trait, KNE has been assumed to be controlled by a set of quantitative trait loci (QTLs) with minor effects. Identification and genetic evaluation of these QTLs are prerequisites for improving KNE with a molecular breeding approach. In this study, we developed the chromosome segment introgression line SL19-41, which exhibited 95.60% recovery of the Ye478 background and showed a higher KNE and grain yield. The plant architecture and flowering time of SL19-41 were not significantly different from those of Ye478. We employed introgression line (IL)-derived mapping populations and identified a major QTL, KNE4, which is partially dominant. KNE4 was validated in a backcross population and a set of sub-introgression lines and was delimited to a 440-kb genomic region in Bin4.07. An allele included in the introgression fragment had a synergistic effect, noticeably increasing KNE and showing the potential to improve KNE in Ye478. Subsequently, the association between sequence polymorphism in the QTL interval and KNE variation revealed a putative candidate gene that encoded a long-chain acyl-CoA synthetase responsible. This result provides an available locus for the molecular improvement of KNE and for the isolation of functional genes underlying this QTL.