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ABSTRACT: The R2R3-MYB Transcription Factor OsTT13 Regulates Anthocyanin Biosynthesis and Grain Size in Rice

PROVIDER: PRJNA1242003 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR32859718_1.fastq.gz	Fastqsanger.gz
	SRR32859718_2.fastq.gz	Fastqsanger.gz
	SRR32859719_1.fastq.gz	Fastqsanger.gz
	SRR32859719_2.fastq.gz	Fastqsanger.gz
	SRR32859720_1.fastq.gz	Fastqsanger.gz

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Project description:The profiling was conducted with the Rice 3'-Tiling 135k Microarray designed from 31,439 genes deposited at IRGSP, RAP2 database (http://rapdb.lab.nig.ac.jp). In this research, we have searched for genes responsible for over-expression of OsMYB14, an R2R3-MYB transcription factor in rice, Oryza sativa cv IlMi

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Project description:Plant height is a major trait affecting yield potential in rice. Using a large-scale hybrid transcription factor approach, we identified the novel MYB-like transcription factor OsMPH1 (MYB-like gene of Plant Height 1), which is involved in the regulation of plant height in rice.Overexpression of OsMPH1 leads to increases of plant height and grain yield in rice, while knockdown of OsMPH1 leads to the opposite phenotypes. RNA-seq is used for exploring differences between OsMPH1 transgenic rice and wild-type plants.

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Comparative gene expression profiling analysis of RNA-seq data for WT (Nipponbare) and OsEXPA7 overexpression.

Project description:Yield and quality are the two most important traits in crop breeding. Exploring the regulatory mechanisms that affect both yield and quality traits is of great significance for understanding the molecular genetic networks controlling these key crop attributes. Expansins are cell wall loosening proteins that play important roles in regulating rice grain size. We investigated the effect of OsEXPA7, encoding an expansin, on rice grain size and quality. OsEXPA7 overexpression resulted in increased plant height, panicle length, grain length, and thousand-grain weight in rice. OsEXPA7 overexpression also affected gel consistency and amylose content in rice grains, thus affecting rice quality. Subcellular localization and tissue expression analyses showed that OsEXPA7 is localized on the cell wall and is highly expressed in the panicle. Hormone treatment experiments revealed that OsEXPA7 expression mainly responds to methyl jasmonate, brassinolide, and gibberellin. Transcriptome analysis and RT-qPCR experiments showed that overexpression of OsEXPA7 affects the expression of OsJAZs in the jasmonic acid pathway and BZR1 and GE in the brassinosteroid pathway. In addition, OsEXPA7 regulates the expression of key quantitative trait loci related to yield traits, as well as regulates the expression levels of BIP1 and bZIP50 involved in the seed storage protein biosynthesis pathway. These results reveal that OsEXPA7 positively regulates rice yield traits and negatively regulates grain quality traits by involving plant hormone pathways and other trait-related pathway genes. These findings increase our understanding of the potential mechanism of expansins in regulating rice yield and quality traits and will be useful for breeding high-yielding and high-quality rice cultivars.

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Project description:Colored-leaf plants are increasingly popular and have been attracting more and more attentions. However, studies about the anthocyanin components and molecular mechanisms of anthocyanin biosynthesis in QHP and ZSY was still unclear. In present study, an integrated metabolite and transcriptome profiling analysis was performed to explore the anthocyanin compositions and the specific regulatory network of anthocyanin biosynthesis in purple leaves of QHP and ZSY. A total of 39 anthocyanin compounds were detected based on the LC-MS/MS analysis. Of these, 12 cyanidins, 7 pelargonidins, 5 delphindins, and 5 procyanidins are the major anthocyanin compounds, which were significantly differentially accumulated in purple leaves of QHP and ZSY. The major genes associated with anthocyanin biosynthesis, including structural genes and TFs, were differentially expressed in the purple leaves of QHP and ZSY through RNA-seq data analysis, some of which were further assessed by qRT-PCR. Correlation between RNA-seq analysis and metabolite profiling showed that the expression pattern of some differentially expressed genes in anthocyanin biosynthes pathway were closely correlated with the differential accumulation of anthocyanins. In addition, one member of SG5 subgroup of R2R3-MYB TFs, Podel.04G021100, shows a similar expression pattern to some structure genes and closely correlates with sixteen anthocyanin compounds, indicating that the MBY TF (Podel.04G021100) may be involved in the regulation of anthocyanin biosynthesis. The above results not only make us systematic and comprehensive understand the anthocyanin components and corresponding molecular mechanisms of anthocyanin biosynthesis in purple leaves of QHP and ZSY, but also contribute to the promotion and application of anthocyanins in colored-leaf poplars.

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Project description:Purple-grain wheat are caused by anthocyanin accumulation in the seed coat. The anthocyanin biosynthesis and accumulation were affected by light in purple-grain wheat. The spikes of purple-grain wheat Luozhen No.1 were bagged with four-layer Kraft paper bags after pollination. To identify genes involved in the anthocyanin biosynthesis, we sequenced two pericarp cDNA libraries, D20 (20 DAP) of shading treatment, and L20 (20 DAP) of untreated control using an Illumina HiSeqTM 2000.

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The identification and characterization of a plant height and grain length related gene hfr131 in rice

Project description:Plant height and grain size are important agronomic traits affecting rice yield. Various plant hormones participate in the regulation of plant height and grain size in rice. However, how these hormones cooperate to regulate plant height and grain size is poorly understood. In this study, we identified a brassinosteroid-related gene, hfr131, from an introgression line constructed using Oryza longistaminata, that caused brassinosteroid insensitivity and reduced plant height and grain length in rice. Further study showed that hfr131 is a new allele of OsBRI1 with a single-nucleotide polymorphism (G to A) in the coding region, leading to a T988I conversion at a conserved site of the kinase domain. An auxin response factor, OsARF17, could bind to the promoter region of HFR131 and positively regulated HFR131 expression, thereby regulating the plant height and grain length, and influencing brassinosteroid sensitivity. Haplotype analysis showed that the consociation of OsAFR17Hap1/HFR131Hap6 conferred an increase in grain length. Overall, this study identified hfr131 as a new allele of OsBRI1 that regulates plant height and grain length in rice, revealed that brassinosteroid and auxin might coordinate through OsARF17–HFR131 interaction, and provided a potential breeding target for improvement of rice yield.

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RNA-seq of pericarp of purple-grain wheat Luozhen No.1 of 15 days (D15) and 20 days (D20) shading treatment after pollination, against 15 DAP, 20 DAP untreated controls. The purple-grain wheat were grown under natural field conditions at Shandong Agricultural University Experimental Station (36169 N, 117169 E), Taian, China during Octubor, 2015 to June, 2016.

Project description:Purple-grain wheat are caused by anthocyanin accumulation in the seed coat. But little is known about molecular mechanism of anthocyanin biosynthesis. The anthocyanin biosynthesis and accumulation were affected by light in purple-grain wheat. The spikes of purple-grain wheat Luozhen No.1 were bagged with four-layer Kraft paper bags after pollination. To identify genes involved in the anthocyanin biosynthesis, we sequenced four pericarp cDNA libraries, D15 (15 DAP), D20 (20 DAP) of shading treatment, and L15 (15 DAP), L20 (20 DAP) of untreated control using an Illumina HiSeqTM 2000. After quality control, raw reads are filtered into clean reads which will be aligned to the reference sequences. The alignment data is utilized to calculate distribution of reads on reference genes and mapping ratio, and proceed with downstream analysis including gene and isoform expression, deep analysis based on gene expression (PCA/correlation/screening differentially expressed genes and so on),exon expression, gene structure refinement, alternative splicing, novel transcript prediction and annotation, SNP detection, Indel detection. Further, we also perform deep analysis based on different expression genes, including Gene Ontology (GO) enrichment analysis, Pathway enrichment analysis, cluster analysis, and finding transcriptor factor.

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