Molecular characterization of a novel TaGL3-5A allele and its association with grain length in wheat (Triticum aestivum L.)

Yang, Jian; Zhou, Yanjie; Wu, Qiuhong; Chen, Yongxing; Zhang, Panpan; Zhang, Yue; Hu, Weiguo; Wang, Xicheng; Zhao, Hong; Dong, Lingli; Han, Joan C.; Liu, Zhiyong; Cao, Tingjie

doi:10.1007/s00122-019-03316-1

Cited by 64 publications

(37 citation statements)

References 53 publications

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“…This gene regulates seed size probably effects genes through cell division pathways [33, 34]. Notably, a number of grain trait-related genes (e.g., TaGW2 , TaGL3 , and TaGW8 ) were mapped in the QTL region that is likely to harbpr the causative genes [35–37].…”

Section: Introductionmentioning

confidence: 99%

Cloning, characterization of TaGS3 and identification of allelic variation associated with kernel traits in wheat (Triticum aestivum L.)

et al. 2019

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BackgroundGrain weight is an important yield component. Selection of advanced lines with heavy grains show high grain sink potentials and strong sink activity, which is an increasingly important objective in wheat breeding programs. Rice OsGS3 has been identified as a major quantitative trait locus for both grain weight and grain size. However, allelic variation of GS3 has not been characterized previously in hexaploid wheat.ResultsWe cloned 2445, 2393, and 2409 bp sequences of the homologs TaGS3-4A, TaGS3-7A, and TaGS3-7D in wheat ‘Changzhi 6406’, a cultivar that shows high grain weight. The TaGS3 genes each contained five exons and four introns, and encoded a deduced protein of 170, 169, and 169 amino acids, respectively. Phylogenetic analysis of plant GS3 protein sequences revealed GS3 to be a monocotyledon-specific gene and the GS3 proteins were resolved into three classes. The length of the atypical Gγ domain and the cysteine-rich region was conserved within each class and not conserved between classes. A single-nucleotide polymorphism in the fifth exon (at position 1907) of TaGS3-7A leads to an amino acid change (ALA/THR) and showed different frequencies in two pools of Chinese wheat accessions representing extremes in grain weight. Association analysis indicated that the TaGS3-7A-A allele was associated with higher grain weight in the natural population. The TaGS3-7A-A allele was favoured in global modern wheat cultivars but the allelic frequency varied among different wheat-production regions of China, which indicated that this allele is of potential utility to improve wheat grain weight in certain wheat-production areas of China.ConclusionsThe novel molecular information on wheat GS3 homologs and the KASP functional marker designed in this study may be useful in marker-assisted breeding for genetic improvement of wheat.

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Section: Introductionmentioning

confidence: 99%

Cloning, characterization of TaGS3 and identification of allelic variation associated with kernel traits in wheat (Triticum aestivum L.)

et al. 2019

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“…Moreover, Qtgw.ahau-6B.1 and Qgl.ahau-6B (676-679 Mb) were detected near a stable QTL for TGW (TKW-AX_109917592, 675-677 Mb) that was identified by Li et al (2019) ( Table 1). It is noteworthy that six QTL regions detected in this study contained eight reported genes for grain weight and size, including TaFlo2-A1 (2A) (Sajjad et al, 2017), TaSnRK2.9-5A (Rehman et al, 2019), TaGL3-5A (Yang et al, 2019a), TaGW2-6A (Su et al, 2012;Yang et al, 2012;Hong et al, 2014;Qin et al, 2014;Vandana et al, 2015;Wang et al, 2017), TaSus1-7A (Hou et al, 2014), TaGASR7-7A (Dong et al, 2014), and TaTGW-7A (Hu et al, 2016b). This supports the reliability of QTL mapping performed in the current study.…”

Section: Comparisons With Previous Studiessupporting

confidence: 87%

“…TaGS3-7A, a homologous gene of OsGS3, was shown to be associated with grain weight (Yang et al, 2019b). In addition, TaTGW6 (Hu et al, 2016a), Tabas1 (Zhu et al, 2016), TaCKX4 (Chang et al, 2015), TaFlo2 (Sajjad et al, 2017), TaTGW-7A (Hu et al, 2016b), TaCYP78A3 (Ma M. et al, 2015), and TaGL3 (Yang et al, 2019a) are also significantly associated with grain weight or size. All of the genes listed above are useful in genetic improvement of wheat yield.…”

Section: Introductionmentioning

confidence: 97%

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“…A panel of 96 wheat cultivars (Table S 1 ) from the South of Yellow and Huai Valleys of China were selected for the study [ 54 , 55 ]. These cultivars were cultivated across the northwest to centre-east regions of Henan province and saved in Institute of Wheat, Henan Academy of Agraicultural Sciences.…”

Section: Methodsmentioning

confidence: 99%

Unlocking the relationships among population structure, plant architecture, growing season, and environmental adaptation in Henan wheat cultivars

Yang

Zhou

et al. 2020

BMC Plant Biol

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Background Ecological environments shape plant architecture and alter the growing season, which provides the basis for wheat genetic improvement. Therefore, understanding the genetic basis of grain yield and yield-related traits in specific ecological environments is important. Results A structured panel of 96 elite wheat cultivars grown in the High-yield zone of Henan province in China was genotyped using an Illumina iSelect 90 K SNP assay. Selection pressure derived from ecological environments of mountain front and plain region provided the initial impetus for population divergence. This determined the dominant traits in two subpopulations (spike number and spike percentage were dominance in subpopulation 2:1; thousand-kernel weight, grain filling rate (GFR), maturity date (MD), and fertility period (FP) were dominance in subpopulation 2:2), which was also consistent with their inheritance from the donor parents. Genome wide association studies identified 107 significant SNPs for 12 yield-related traits and 10 regions were pleiotropic to multiple traits. Especially, GY was co-located with MD/FP, GFR and HD at QTL-ple5A, QTL-ple7A.1 and QTL-ple7B.1 region. Further selective sweep analysis revealled that regions under selection were around QTLs for these traits. Especially, grain yield (GY) is positively correlated with MD/FP and they were co-located at the VRN-1A locus. Besides, a selective sweep signal was detected at VRN-1B locus which was only significance to MD/FP. Conclusions The results indicated that extensive differential in allele frequency driven by ecological selection has shaped plant architecture and growing season during yield improvement. The QTLs for yield and yield components detected in this study probably be selectively applied in molecular breeding.

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Molecular characterization of a novel TaGL3-5A allele and its association with grain length in wheat (Triticum aestivum L.)

Cited by 64 publications

References 53 publications

Cloning, characterization of TaGS3 and identification of allelic variation associated with kernel traits in wheat (Triticum aestivum L.)

Cloning, characterization of TaGS3 and identification of allelic variation associated with kernel traits in wheat (Triticum aestivum L.)

Table_9.XLSX

Unlocking the relationships among population structure, plant architecture, growing season, and environmental adaptation in Henan wheat cultivars

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