The MYB family transcription factor TuODORANT1 from Triticum urartu and the homolog TaODORANT1 from Triticum aestivum inhibit seed storage protein synthesis in wheat

Luo, Guangbin; Shen, Lisha; Song, Yuan‐Zong; Yu, Kun; Ji, Jingjing; Zhang, Chi; Yang, Wenlong; Li, Xin; Sun, Jiazhu; Zhan, Kai; Cui, Dangqun; Wang, Yanpeng; Gao, Caixia; Liu, Dongcheng; Zhang, Aimin

doi:10.1111/pbi.13604

Cited by 17 publications

(14 citation statements)

References 71 publications

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“…The multinucleate endosperm stage is associated with endosperm proliferation and cell differentiation, and the early and maximum grain filling stages corresponding to storage accumulation. According to the similar grain morphology, endosperm at 1–5 DPA of T. urartu were in the multinucleate endosperm stage; endosperm at 6–10 DPA, 11–15 DPA and 16–20 DPA were in the early, maximum and late grain filling stages, respectively; and endosperm at 21–25 DPA were in the desiccation stage (Luo et al., 2021).…”

Section: Resultsmentioning

confidence: 97%

“…To investigate transcriptome dynamics in endosperm development, endosperm samples (with the embryo, aleurone, seed coat and pericarp removed) from the genome‐sequenced T. urartu accession PI 428198 at 5, 10, 15, 20 and 25 days post‐anthesis (DPAs) were used in the RNA‐Seq analysis (Luo et al., 2021). Grain development in common wheat includes five main stages: fertilization (0 DPA); multinucleate endosperm (1–5 DPA); cellularization and early grain filling (6–13 DPA); maximum grain filling (14–28 DPA); and desiccation (25–38 DPA; Kaushik et al., 2020; Shewry, 2009).…”

Section: Resultsmentioning

confidence: 99%

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Genome‐wide identification of seed storage protein gene regulators in wheat through coexpression analysis

et al. 2021

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Summary Only a few transcriptional regulators of seed storage protein (SSP) genes have been identified in common wheat (Triticum aestivum L.). Coexpression analysis could be an efficient approach to characterize novel transcriptional regulators at the genome‐scale considering the correlated expression between transcriptional regulators and target genes. As the A genome donor of common wheat, Triticum urartu is more suitable for coexpression analysis than common wheat considering the diploid genome and single gene copy. In this work, the transcriptome dynamics in endosperm of T. urartu throughout grain filling were revealed by RNA‐Seq analysis. In the coexpression analysis, a total of 71 transcription factors (TFs) from 23 families were found to be coexpressed with SSP genes. Among these TFs, TuNAC77 enhanced the transcription of SSP genes by binding to cis‐elements distributed in promoters. The homolog of TuNAC77 in common wheat, TaNAC77, shared an identical function, and the total SSPs were reduced by about 24% in common wheat when TaNAC77 was knocked down. This is the first genome‐wide identification of transcriptional regulators of SSP genes in wheat, and the newly characterized transcriptional regulators will undoubtedly expand our knowledge of the transcriptional regulation of SSP synthesis.

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Section: Resultsmentioning

confidence: 97%

Section: Resultsmentioning

confidence: 99%

Genome‐wide identification of seed storage protein gene regulators in wheat through coexpression analysis

et al. 2021

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“…4 B, Table S 4 ). A previous study showed that TaODORANT1 participates in seed storage protein synthesis in wheat [ 44 ]. Our results showed that its promoter has several SNPs in Zhou8425B compared to CS (Figs.…”

Section: Discussionmentioning

confidence: 99%

Combining QTL mapping and gene co-expression network analysis for prediction of candidate genes and molecular network related to yield in wheat

Wei

Jiang

et al. 2022

BMC Plant Biol

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Background Wheat (Triticum aestivum L.) is an important cereal crop. Increasing grain yield for wheat is always a priority. Due to the complex genome of hexaploid wheat with 21 chromosomes, it is difficult to identify underlying genes by traditional genetic approach. The combination of genetics and omics analysis has displayed the powerful capability to identify candidate genes for major quantitative trait loci (QTLs), but such studies have rarely been carried out in wheat. In this study, candidate genes related to yield were predicted by a combined use of linkage mapping and weighted gene co-expression network analysis (WGCNA) in a recombinant inbred line population. Results QTL mapping was performed for plant height (PH), spike length (SL) and seed traits. A total of 68 QTLs were identified for them, among which, 12 QTLs were stably identified across different environments. Using RNA sequencing, we scanned the 99,168 genes expression patterns of the whole spike for the recombinant inbred line population. By the combined use of QTL mapping and WGCNA, 29, 47, 20, 26, 54, 46 and 22 candidate genes were predicted for PH, SL, kernel length (KL), kernel width, thousand kernel weight, seed dormancy, and seed vigor, respectively. Candidate genes for different traits had distinct preferences. The known PH regulation genes Rht-B and Rht-D, and the known seed dormancy regulation genes TaMFT can be selected as candidate gene. Moreover, further experiment revealed that there was a SL regulatory QTL located in an interval of about 7 Mbp on chromosome 7A, named TaSL1, which also involved in the regulation of KL. Conclusions A combination of QTL mapping and WGCNA was applied to predicted wheat candidate genes for PH, SL and seed traits. This strategy will facilitate the identification of candidate genes for related QTLs in wheat. In addition, the QTL TaSL1 that had multi-effect regulation of KL and SL was identified, which can be used for wheat improvement. These results provided valuable molecular marker and gene information for fine mapping and cloning of the yield-related trait loci in the future.

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“…Moreover, TaGAMyb regulates glutenin gene expression by directly binding to a 5′-C/TAACAAA/C-3′-like motif in the promoter of HMW-GS genes and by recruiting GCN5 to modulate histone acetylation [ 20 ]. Additionally, the MYB TFs TuODORANT1 and TaODORANT1 are suppressors of SSP synthesis [ 21 ]. An NAC family TF (i.e., storage protein repressor; SPR) binds to the cis -element 5′-CANNTG-3′ to suppress the accumulation of SSPs [ 22 ].…”

Section: Introductionmentioning

confidence: 99%

The Qc5 Allele Increases Wheat Bread-Making Quality by Regulating SPA and SPR

Guo

Chen

Zhu

et al. 2022

IJMS

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Common wheat (Triticum aestivum L.) is an important food crop with a unique processing quality. The Q gene positively regulates the processing quality of wheat, but the underlying mechanism remains unclear. Here, a new Q allele (Qc5) responsible for compact spikes and good bread performance was identified. Compared with the Q allele widely distributed in modern common wheat cultivars, Qc5 had a missense mutation outside the miRNA172-binding site. This missense mutation led to a more compact messenger RNA (mRNA) secondary structure around the miRNA172-binding region, resulting in increased Qc5 expression during the spike development stage and a consequent increase in spike density. Furthermore, this missense mutation weakened the physical interaction between Qc5 and storage protein activator (SPA) in seeds and suppressed the expression of storage protein repressor (SPR). These changes increased the grain protein content and improved the bread-making quality of wheat. In conclusion, a missense mutation increases Q expression because of the resulting highly folded mRNA secondary structure around the miRNA172-binding site. Furthermore, this mutation improves the bread-making quality of wheat by repressing the expression of SPR and influencing the physical interaction between Q and SPA. These findings provide new insights into the miRNA172-directed regulation of gene expression, with implications for wheat breeding.

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The MYB family transcription factor TuODORANT1 from Triticum urartu and the homolog TaODORANT1 from Triticum aestivum inhibit seed storage protein synthesis in wheat

Cited by 17 publications

References 71 publications

Genome‐wide identification of seed storage protein gene regulators in wheat through coexpression analysis

Genome‐wide identification of seed storage protein gene regulators in wheat through coexpression analysis

Combining QTL mapping and gene co-expression network analysis for prediction of candidate genes and molecular network related to yield in wheat

The Qc5 Allele Increases Wheat Bread-Making Quality by Regulating SPA and SPR

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