Project description:Wheat panicle development is a coordinated process of proliferation and differentiation with distinctive phase and architecture changes. However, the multiple genes involved networks controlling this process remain enigmatic. Here, we characterized and dissected common wheat panicles in the stages of vegetative stage before elongation, elongation, single ridge, double ridge, glume primodium differentiation and floret differentiation, respectively, followed by RNA-seq and bioinformatics analysis to study genome-wide mRNA transcriptome profiling in wheat early spike development. High gene expression correlations between any two stages (R2>0.97) and only 4000 Differentially Expressed Genes (DEGs) out of 49624 expressed transcripts in all stages indicated that wheat early panicle development is just controlled by an small proportion of important genes. Three subgenomes (A, B and D) contribute equally to this process. K-means clustering analysis revealed the dynamic expression patterns of DEGs and Hierarchical Clustering analysis demonstrated that single bridge stage and double bridge stage are most important for wheat panicle development. Interestingly, 306 transcription factors (TFs) with various functions from different families were identified and the spatial-temporal expression patterns of some were verified by quantitative PCR or in situ hybridization. At early stages, repressing flowering TFs combined with AP2/ERF TFs and cytokinin promote inflorescence meristem development and repress meristem differentiation. At single ridge and double ridge stages, highly expressed stress-response TFs balance the interaction between stress response and development. During reproductive stages, crosstalk between auxin and cytokinin coordinate the meristem proliferation and differentiation, and promoting flowering TFs with polarity establishment TFs and MADS-box TFs promote floral meristem generation and floral organ identity and development. This dataset provided an ideal resource for wheat panicle developmental research. Our study uncovered the regulatory network for coordinated wheat early spike development and would eventually contribute to the improvement of grain number and crop yield.

Project description:Introduction: Pre-harvest Sprouting (PHS) seriously affects wheat quality and yield. However, to date there have been limited reports. It is of great urgency to breed resistance varieties via quantitative trait nucleotides (QTNs) or genes for PHS resistance in white-grained wheat. Methods: 629 Chinese wheat varieties, including 373 local wheat varieties from 70 years ago and 256 improved wheat varieties were phenotyped for spike sprouting (SS) in two environments and genotyped by wheat 660K microarray. These phenotypes were used to associate with 314,548 SNP markers for identifying QTNs for PHS resistance using several multi-locus genome-wide association study (GWAS) methods. Their candidate genes were verified by RNA-seq, and the validated candidate genes were further exploited in wheat breeding. Results: As a result, variation coefficients of 50% and 47% for PHS in 629 wheat varieties, respectively, in 2020-2021 and 2021-2022 indicated large phenotypic variation, in particular, 38 white grain varieties appeared at least medium resistance, such as Baipimai, Fengchan 3, and Jimai 20. In GWAS, 22 significant QTNs, with the sizes of 0.06% ~ 38.11%, for PHS resistance were stably identified by multiple multi-locus methods in two environments, e.g., AX-95124645 (chr3D:571.35Mb), with the sizes of 36.390% and 45.850% in 2020-2021 and 2021-2022, respectively, was detected by several multi-locus methods in two environments. As compared with previous studies, the AX-95124645 was used to develop Kompetitive Allele-Specific PCR marker QSS.TAF9-3D (chr3D:569.17Mb~573.55Mb) for the first time, especially, it is available in white-grain wheat varieties. Around this locus, nine genes were significantly differentially expressed, and two of them (TraesCS3D01G466100 and TraesCS3D01G468500) were found by GO annotation to be related to PHS resistance and determined as candidate genes. Discussion: The QTN and two new candidate genes related to PHS resistance were identified in this study. The QTN can be used to effectively identify the PHS resistance materials, especially, all the white-grained varieties with QSS.TAF9-3D-TT haplotype are resistant to spike sprouting. Thus, this study provides candidate genes, materials, and methodological basis for breeding wheat PHS resistance in the future.

Project description:Aegilops tauschii is the donor of the wheat D subgenome and an important genetic resource for wheat. The assembly of Ae. tauschii acc. AL8/78 reference genome sequence Aet v4.0 was therefore an important milestone for wheat biology and breeding. The combination of the > 4.2 Gb size of the Ae. tauschii genome and > 84% of recently evolved repeated sequences make sequencing this genome challenging. Here, we report further advances in the development of the Ae. tauschii acc. AL8/78 genome sequence. Two new genome-wide optical maps were constructed and employed in the revision of pseudomolecules and estimations of gap lengths. Gaps were closed with contigs of single-molecule Pacific Biosciences reads. The number of gaps in Aet v5.0 decreased by 38,899 compared to Aet v4.0. Transposable elements and protein-coding genes were reannotated. The number of high-confidence genes was reduced from 38,886 in Aet v4.0 to 32,980 in Aet v5.0. A nonredundant set of 478 biologically important genes including many of known function in wheat was manually annotated. Sixty-one microRNA precursor and 60 phasiRNA loci were discovered, annotated, and their expression was characterized. Also characterized was expression of other small RNAs, such as hc-siRNAs and tRFs. This upgraded genome sequence will facilitate the use of Ae. tauschii in wheat breeding and biological research. Aegilops tauschii is the donor of the wheat D subgenome and an important genetic resource for wheat. The assembly of Ae. tauschii acc. AL8/78 reference genome sequence Aet v4.0 was therefore an important milestone for wheat biology and breeding. The combination of the > 4.2 Gb size of the Ae. tauschii genome and > 84% of recently evolved repeated sequences make sequencing this genome challenging. Here, we report further advances in the development of the Ae. tauschii acc. AL8/78 genome sequence. Two new genome-wide optical maps were constructed and employed in the revision of pseudomolecules and estimations of gap lengths. Gaps were closed with contigs of single-molecule Pacific Biosciences reads. The number of gaps in Aet v5.0 decreased by 38,899 compared to Aet v4.0. Transposable elements and protein-coding genes were reannotated. The number of high-confidence genes was reduced from 38,886 in Aet v4.0 to 32,980 in Aet v5.0. A nonredundant set of 478 biologically important genes including many of known function in wheat was manually annotated. Sixty-one microRNA precursor and 60 phasiRNA loci were discovered, annotated, and their expression was characterized. Also characterized was expression of other small RNAs, such as hc-siRNAs and tRFs. This upgraded genome sequence will facilitate the use of Ae. tauschii in wheat breeding and biological research. Aegilops tauschii is the donor of the wheat D subgenome and an important genetic resource for wheat. The assembly of Ae. tauschii acc. AL8/78 reference genome sequence Aet v4.0 was therefore an important milestone for wheat biology and breeding. The combination of the > 4.2 Gb size of the Ae. tauschii genome and > 84% of recently evolved repeated sequences make sequencing this genome challenging. Here, we report further advances in the development of the Ae. tauschii acc. AL8/78 genome sequence. Two new genome-wide optical maps were constructed and employed in the revision of pseudomolecules and estimations of gap lengths. Gaps were closed with contigs of single-molecule Pacific Biosciences reads. The number of gaps in Aet v5.0 decreased by 38,899 compared to Aet v4.0. Transposable elements and protein-coding genes were reannotated. The number of high-confidence genes was reduced from 38,886 in Aet v4.0 to 32,980 in Aet v5.0. A nonredundant set of 478 biologically important genes including many of known function in wheat was manually annotated. Sixty-one microRNA precursor and 60 phasiRNA loci were discovered, annotated, and their expression was characterized. Also characterized was expression of other small RNAs, such as hc-siRNAs and tRFs. This upgraded genome sequence will facilitate the use of Ae. tauschii in wheat breeding and biological research.

Project description:Background: MicroRNAs regulate various biological processes in plants. Considerable data are available on miRNAs involved in the development of rice, maize and barley. In contrast, little is known about miRNAs and their functions in the development of wheat. In this study, five small RNA (sRNA) libraries from wheat seedlings, flag leaves, and developing seeds were developed and sequenced to identify miRNAs and understand their functions in wheat development. Results: Twenty-four known miRNAs belonging to 15 miRNA families were identified from 18 MIRNA loci in wheat in the present study, including 15 (9 MIRNA loci) first identified in wheat, 13 miRNA families (16 MIRNA loci) being highly conserved and 2 (2 MIRNAs loci) moderately conserved. In addition, fifty-five novel miRNAs were also identified. The potential target genes for 15 known miRNAs and 37 novel miRNAs were predicted using strict criteria, and these target genes are involved in a wide range of biological functions. Four of the 15 known miRNA families and 22 of the 55 novel miRNAs were preferentially expressed in the developing seeds with logarithm of the fold change of 1.0～7.6, and half of them were seed-specific, suggesting that they participate in regulating wheat seed development and metabolism. From 5 days post-anthesis to 20 days post-anthesis, miR164 and miR160 increased in abundance in developing seeds, whereas miR169 decreased, suggesting their coordinating functions in the different developmental stages of wheat seed. Moreover, eight known miRNA families and 28 novel miRNAs exhibited tissue-biased expression in wheat flag leaves, with the logarithm of the fold changes of 0.5～5.2. The putative targets of these tissue-preferential miRNAs were involved in various metabolism and biological processes, suggesting complexity of the regulatory networks in different tissues. Our data also suggested that wheat flag leaves have more complicated regulatory networks of miRNAs than developing seeds. Conclusions: Our work identified and characterised wheat miRNAs, their targets and expression patterns. This study is the first to elucidate the regulatory networks of miRNAs involved in wheat flag leaves and developing seeds, and provided a foundation for future studies on specific functions of these miRNAs.

			Action	DRS
	SRR14116504_1.fastq.gz	Fastqsanger.gz
	SRR14116504_2.fastq.gz	Fastqsanger.gz
	SRR14116505_1.fastq.gz	Fastqsanger.gz
	SRR14116505_2.fastq.gz	Fastqsanger.gz
	SRR14116506_1.fastq.gz	Fastqsanger.gz

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