Genetic Basis of Gluten Aggregation Properties in Wheat (Triticum aestivum L.) Dissected by QTL Mapping of GlutoPeak Parameters

Abstract

Bread wheat is one of the most important crops worldwide, supplying approximately one-fifth of the daily protein and the calories for human consumption. Gluten aggregation properties play important roles in determining the processing quality of wheat (Triticum aestivum L.) products. Nevertheless, the genetic basis of gluten aggregation properties has not been reported so far. In this study, a recombinant inbred line (RIL) population derived from the cross between Luozhen No. 1 and Zhengyumai 9987 was used to identify quantitative trait loci (QTL) underlying gluten aggregation properties with GlutoPeak parameters. A linkage map was constructed based on 8,518 SNPs genotyped by specific length amplified fragment sequencing (SLAF-seq). A total of 33 additive QTLs on 14 chromosomes were detected by genome-wide composite interval mapping (GCIM), four of which accounted for more than 10% of the phenotypic variation across three environments. Two major QTL clusters were identified on chromosomes 1DS and 1DL. A premature termination of codon (PTC) mutation in the candidate gene (TraesCS1D02G009900) of the QTL cluster on 1DS was detected between Luozhen No. 1 and Zhengyumai 9987, which might be responsible for the difference in gluten aggregation properties between the two varieties. Subsequently, two KASP markers were designed based on SNPs in stringent linkage with the two major QTL clusters. Results of this study provide new insights into the genetic architecture of gluten aggregation properties in wheat, which are helpful for future improvement of the processing quality in wheat breeding.

Quantitative traits loci mapping and molecular marker development for total glutenin and glutenin fraction contents in wheat

“…The QTL on 1AS and 1DL control both HMW- and LMW-GS. The major QTL cluster 1DL-2 between markers Whass16441 and Whass16657 revealed in the present study partially overlapped the QTL cluster associated with gluten aggregation between markers Whaas16407 and Whaas16588 which we detected in an earlier study in which the Glu-D1 was considered as the most likely candidate gene for the QTL cluster [ 19 ]. However, QTL were not detected on 1AL and 1BL for HMW-GS or on 1BS for LMW-GS.…”

“…In this study, KASP markers were developed from two SNPs. Specifically, Whaas16493 was derived from the SNP which underlying the overlapping region of the QTL cluster 1DL-2 for glutenins and for gluten aggregation properties reported by our previous study) [ 19 ], whereas Whaas115399 was located in the QTL cluster regions 6AS-3 (Table S 7 ). These markers were used for evaluating the contribution of these regions to total glutenin and its fraction contents in the RIL population and in a set of 207 natural varieties (Tables S 8 -S 10 ).…”

“…The mapping population consists of 196 F 6 Recombinant Inbred Lines (RILs) derived from two common wheat cultivars, Luozhen No.1 and Zhengyumai9987, which were originally provided by the Luohe Academy of Agricultural Sciences and the Youbang Crop Breeding Institute in Zhengzhou, respectively [ 19 ]. The two parents are divergent in quality related traits, not only in composition of glutenin but also in the quantity of each fraction of storage protein.…”

Dissection of the Genetic Architecture for Quantities of Gliadins Fractions in Wheat (Triticum aestivum L.)

“…A population comprising 196 RILs was constructed via the hybridization between Luozhen No. 1 and Zhengyumai 9987 ( Zhou et al, 2020b ), which were provided by the Luohe Academy of Agricultural Sciences and the Youbang Crop Breeding Institute in Zhengzhou, respectively. The two parents varied in terms of agricultural and quality-related traits, especially the gliadin composition and content.…”

“…A genetic map constructed using 8,518 SLAF markers distributed across all 21 wheat chromosomes and covering 3,140.54 cm ( Zhou et al, 2020b ) was used for QTL mapping. The QTL mapping was conducted according to the composite interval mapping (CIM) method using the “QTL.…”