Dissection of genetic factors underlying grain size and fine mapping of QTgw.cau-7D in common wheat (Triticum aestivum L.)

Chen, Zhaoyan; Cheng, Xuejiao; Chai, Lingling; Wang, Zhihui; Bian, Ruolin; Jiang, Li; Zhao, Aiju; Xin, Mingming; Guo, Weilong; Hu, Zhaorong; Peng, Huiru; Yao, Yingyin; Sun, Qixin; Ni, Zhongfu

doi:10.1007/s00122-019-03447-5

Cited by 50 publications

(38 citation statements)

References 85 publications

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“…It was also reported that the major stable QTLs QTkw.cas-4A and QKl.cas-4A were in the interval AX-108738265 – AX-109416575 (Table 5 ), overlapping with the locus for TKW in the previous study [ 40 , 47 ]. The QTL QTkw.cas-7D in the interval AX-111061288 – AX-111184541 on chromosome 7D has also reported previously [ 39 , 43 , 53 , 54 ]. Therefore, these important QTLs that were not affected by genetic background are important selection targets in wheat breeding.…”

Section: Discussionsupporting

confidence: 79%

“…Abundance of diagnostic markers in wheat enables breeders to create better combinations and select favorable cultivars to meet local breeding goals [ 62 ]. To date, numerous SNP loci related to kernel traits have been identified in wheat by high-throughput SNP chips combined with bi-parental populations [ 1 , 34 , 39 ]. In the present study, a KASP marker was developed to distinguish two alleles of TaFT-D1 and verified in PG-RIL and a natural population consisted of 141 cultivar/lines (Fig.…”

Section: Discussionmentioning

confidence: 99%

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Identification and validation of quantitative trait loci for kernel traits in common wheat (Triticum aestivum L.)

Zhang

et al. 2020

BMC Plant Biol

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Background Kernel weight and morphology are important traits affecting cereal yields and quality. Dissecting the genetic basis of thousand kernel weight (TKW) and its related traits is an effective method to improve wheat yield. Results In this study, we performed quantitative trait loci (QTL) analysis using recombinant inbred lines derived from the cross ‘PuBing3228 × Gao8901’ (PG-RIL) to dissect the genetic basis of kernel traits. A total of 17 stable QTLs related to kernel traits were identified, notably, two stable QTLs QTkw.cas-1A.2 and QTkw.cas-4A explained the largest portion of the phenotypic variance for TKW and kernel length (KL), and the other two stable QTLs QTkw.cas-6A.1 and QTkw.cas-7D.2 contributed more effects on kernel width (KW). Conditional QTL analysis revealed that the stable QTLs for TKW were mainly affected by KW. The QTLs QTkw.cas-7D.2 and QKw.cas-7D.1 associated with TKW and KW were delimited to the physical interval of approximately 3.82 Mb harboring 47 candidate genes. Among them, the candidate gene TaFT-D1 had a 1 bp insertions/deletion (InDel) within the third exon, which might be the reason for diversity in TKW and KW between the two parents. A Kompetitive Allele-Specific PCR (KASP) marker of TaFT-D1 allele was developed and verified by PG-RIL and a natural population consisted of 141 cultivar/lines. It was found that the favorable TaFT-D1 (G)-allele has been positively selected during Chinese wheat breeding. Thus, these results can be used for further positional cloning and marker-assisted selection in wheat breeding programs. Conclusions Seventeen stable QTLs related to kernel traits were identified. The stable QTLs for thousand kernel weight were mainly affected by kernel width. TaFT-D1 could be the candidate gene for QTLs QTkw.cas-7D.2 and QKw.cas-7D.1.

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Section: Discussionsupporting

confidence: 79%

Section: Discussionmentioning

confidence: 99%

Identification and validation of quantitative trait loci for kernel traits in common wheat (Triticum aestivum L.)

Zhang

et al. 2020

BMC Plant Biol

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“…However, they could be different from QTkw.haaf-4BS/QGl.haaf-4BS/QGw.haaf-4BS, at a physical distance of 140 Mb away based on the Chinese Spring reference genome [45]. Chen et al delimited a QTL for TKW, GL and GW at the 245-432 Mb position of 4BS chromosome [20], which was similar to the QTkw.haaf-4BS/QGl.haaf-4BS/QGw.haaf-4BS in present study. Therefore, we speculated that the two QTLs might be the same locus.…”

Section: Comparison Of Stable Qtl For Grain-related Traits With Previous Studiesmentioning

confidence: 99%

“…Rapid and high-efficiency genotyping greatly accelerate the discovery of genetic loci for wheat. Up to now, a number of loci associated with grain weight have been identified on 21 chromosomes of wheat based on the linkage mapping approach and genome-wide associated study (GWAS) approach [5,15,[20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39]. Some major quantitative trait loci (QTLs) were developed to do fine mapping in a previous study.…”

Section: Introductionmentioning

confidence: 99%

Dissection of Genetic Basis Underpinning Kernel Weight-Related Traits in Common Wheat

Wang

Yue

et al. 2021

Plants

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Genetic dissection kernel weight-related traits is of great significance for improving wheat yield potential. As one of the three major yield components of wheat, thousand kernel weight (TKW) was mainly affected by grain length (GL) and grain width (GW). To uncover the key loci for these traits, we carried out a quantitative trait loci (QTL) analysis of an F6 recombinant inbred lines (RILs) population derived from a cross of Henong 5290 (small grain) and 06Dn23 (big grain) with a 50 K single nucleotide polymorphism (SNP) array. A total of 17 stable and big effect QTL, including 5 for TKW, 8 for GL and 4 for GW, were detected on the chromosomes 1B, 2A, 2B, 2D, 4B, 5A, 6A and 6D, respectively. Among these, there were two co-located loci for three traits that were mapped on the chromosome 4BS and 6AL. The QTL on 6AL was the most stable locus and explained 15.4–24.8%, 4.1–8.8% and 15.7–24.4% of TKW, GW and GL variance, respectively. In addition, two more major QTL of GL were located on chromosome arm 2BL and 2DL, accounting for 9.7–17.8% and 13.6–19.8% of phenotypic variance, respectively. In this study, we found one novel co-located QTL associated with GL and TKW in 2DL, QGl.haaf-2DL.2/QTkw.haaf-2DL.2, which could explain 13.6–19.8% and 9.8–10.7% phenotypic variance, respectively. Genetic regions and linked markers of these stable QTL will help to further refine mapping of the corresponding loci and marker-assisted selection (MAS) breeding for wheat grain yield potential improvement.

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“…Great progress has been made in identifying major QTLs for kernel size and shape [17][18][19][20][21][22], and several candidate genes were identified in wheat. For instance, cytokinin oxidase (encoded by TaCKX) reversibly inactivates cytokinin and increases kernel weight [23].…”

Section: Introductionmentioning

confidence: 99%

Exploitation of Tolerance of Wheat Kernel Weight and Shape-Related Traits from Aegilops tauschii under Heat and Combined Heat-Drought Stresses

Elhadi

Kamal

Gorafi

et al. 2021

IJMS

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Kernel weight and shape-related traits are inherited stably and increase wheat yield. Narrow genetic diversity limits the progress of wheat breeding. Here, we evaluated kernel weight and shape-related traits and applied genome-wide association analysis to a panel of wheat multiple synthetic derivative (MSD) lines. The MSD lines harbored genomic fragments from Aegilops tauschii. These materials were grown under optimum conditions in Japan, as well as under heat and combined heat–drought conditions in Sudan. We aimed to explore useful QTLs for kernel weight and shape-related traits under stress conditions. These can be useful for enhancing yield under stress conditions. MSD lines possessed remarkable genetic variation for all traits under all conditions, and some lines showed better performance than the background parent Norin 61. We identified 82 marker trait associations (MTAs) under the three conditions; most of them originated from the D genome. All of the favorable alleles originated from Ae. tauschii. For the first time, we identified markers on chromosome 5D associated with a candidate gene encoding a RING-type E3 ubiquitin–protein ligase and expected to have a role in regulating wheat seed size. Our study provides important knowledge for the improvement of wheat yield under optimum and stress conditions. The results emphasize the importance of Ae. tauschii as a gene reservoir for wheat breeding.

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Dissection of genetic factors underlying grain size and fine mapping of QTgw.cau-7D in common wheat (Triticum aestivum L.)

Cited by 50 publications

References 85 publications

Identification and validation of quantitative trait loci for kernel traits in common wheat (Triticum aestivum L.)

Identification and validation of quantitative trait loci for kernel traits in common wheat (Triticum aestivum L.)

Dissection of Genetic Basis Underpinning Kernel Weight-Related Traits in Common Wheat

Exploitation of Tolerance of Wheat Kernel Weight and Shape-Related Traits from Aegilops tauschii under Heat and Combined Heat-Drought Stresses

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