Abstract

Key messageA novel TaGW2-A1 allele was identified from a stable, robust QTL region, which is pleiotropic for thousand grain weight, grain number per spike, and grain morphometric parameters in wheat.Thousand grain weight (TGW) and grain number per spike (GNS) are two crucial determinants of wheat spike yield, and genetic dissection of their relationships can help to fine-tune these two components and maximize grain yield. By evaluating 191 recombinant inbred lines in 11 field trials, we identified five genomic regions on chromosomes 1B, 3A, 3B, 5B, or 7A that solely influenced either TGW or GNS, and a further region on chromosome 6A that concurrently affected TGW and GNS. The QTL of interest on chromosome 6A, which was flanked by wsnp_BE490604A_Ta_2_1 and wsnp_RFL_Contig1340_448996 and designated as QTgw/Gns.cau-6A, was finely mapped to a genetic interval shorter than 0.538 cM using near isogenic lines (NILs). The elite NILs of QTgw/Gns.cau-6A increased TGW by 8.33%, but decreased GNS by 3.05% in six field trials. Grain Weight 2 (TaGW2-A1), a well-characterized gene that negatively regulates TGW and grain width in wheat, was located within the finely mapped interval of QTgw/Gns.cau-6A. A novel and rare TaGW2-A1 allele with a 114-bp deletion in the 5′ flanking region was identified in the parent with higher TGW, and it reduced TaGW2-A1 promoter activity and expression. In conclusion, these results expand our knowledge of the genetic and molecular basis of TGW-GNS trade-offs in wheat. The QTLs and the novel TaGW2-A1 allele are likely useful for the development of cultivars with higher TGW and/or higher GNS.

Highlights

  • Wheat provides approximately 20% of the calories consumed by humankind (Simmonds et al 2016)

  • Wheat yield is controlled by polygenes and affected by environmental factors, and it mainly relies on three components: thousand grain weight (TGW), grain number per spike (GNS), and spike number per hectare (Simmonds et al 2014)

  • TGW displayed an obvious shift towards higher values in the Yumai 8679 (Y8679)/ Jing 411 (J411) recombinant inbred lines (RILs) population, whereas the other six traits exhibited normal distributions (Supplementary Fig. S5)

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Summary

Introduction

Wheat provides approximately 20% of the calories consumed by humankind (Simmonds et al 2016). Using a homology-based approach, several wheat genes have been isolated and suggested to be associated with TGW These include TaCwi (Jiang et al 2015b; Ma et al 2012), TaTGW6 (Hanif et al 2016; Hu et al 2016), TaGW2-A1 (Simmonds et al 2016; Su et al 2011; Yang et al 2012), TaGS1a (Guo et al 2013), TaGS5-3A (Ma et al 2016), TaGASR7-A1 (Dong et al 2014; Ling et al 2013) and TaCYP78A3 (Ma et al 2015). Research on these genes has enhanced our understanding on grain weight determination in wheat and has provided functional markers useful for selecting higher TGW through marker-assisted breeding

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