A naturally de novo-evolved gene contributes to rice grain shape difference between indica and japonica
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA904323 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR22381712_1.fastq.gz | Fastqsanger.gz | |||
| SRR22381712_2.fastq.gz | Fastqsanger.gz | |||
| SRR22381713_1.fastq.gz | Fastqsanger.gz | |||
| SRR22381713_2.fastq.gz | Fastqsanger.gz | |||
| SRR22381714_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 18 |
Similar Datasets
Project description:To investigate the role of OsGSE9 in grain shape, we generate its overexpressing lines, and knockout lines by CRISPR/Cas9 system. We then performed gene expression profiling analysis using data obtained from RNA-seq of the panicles of the WT and OsGSE9 transgenic lines
2023-08-20 | GSE218565 | GEO
Project description:The role of de novo evolved genes from non-coding sequences in regulating morphological differentiation between species/subspecies remains largely unknown. Here, we show that a rice de novo gene GSE9 contributes to grain shape difference between indica/xian and japonica/geng varieties. GSE9 evolves from a previous non-coding region of wild rice Oryza rufipogon through the acquisition of start codon. This gene is inherited by most japonica varieties, while the original sequence (absence of start codon, gse9) is present in majority of indica varieties. Knockout of GSE9 in japonica varieties leads to slender grains, whereas introgression to indica background results in round grains. Population evolutionary analyses reveal that gse9 and GSE9 are derived from wild rice Or-I and Or-III groups, respectively. Our findings uncover that the de novo GSE9 gene contributes to the genetic and morphological divergence between indica and japonica subspecies, and provide a target for precise manipulation of rice grain shape.
| S-EPMC10516980 | biostudies-literature
Project description:Purpose:The purpose of this study is to explore the transcriptome analysis of the heterosis of the grain type and grain weight of the super rice WFYT025 hybrid combination at the grain filling stage.
2022-11-17 | GSE189012 | GEO
Project description:We aimed to elucidate the effects of feeding condition (indoor grain-feeding vs. grazing on pasture) on c-miRNAs in Japanese Black (JB) cattle (Wagyu). The cattle at 18 months old were divided into pasture feeding and conventional indoor grain feeding for 5 months. Microarray analysis of c-miRNAs from the plasma extracellular vesicles led to the detection of a total of 202 bovine miRNAs in the plasma, including 15 miRNAs that differed between the feeding conditions.
2017-02-09 | GSE81946 | GEO
Project description:Over the past decade, evidence has accumulated that new protein-coding genes can emerge de novo from previously non-coding DNA. Most studies have focused on large scale computational predictions of de novo protein-coding genes across a wide range of organisms. In contrast, experimental data concerning the folding and function of de novo proteins are scarce. This might be due to difficulties in handling de novo proteins in vitro, as most are short and predicted to be disordered. Here, we propose a guideline for the effective expression of eukaryotic de novo proteins in Escherichia coli. We used 11 sequences from Drosophila melanogaster and 10 from Homo sapiens, that are predicted de novo proteins from former studies, for heterologous expression. The candidate de novo proteins have varying secondary structure and disorder content. Using multiple combinations of purification tags, E. coli expression strains, and chaperone systems, we were able to increase the number of solubly expressed putative de novo proteins from 30% to 62%. Our findings indicate that the best combination for expressing putative de novo proteins in E. coli is a GST-tag with T7 Express cells and co-expressed chaperones. We found that, overall, proteins with higher predicted disorder were easier to express. STATEMENT: Today, we know that proteins do not only evolve by duplication and divergence of existing proteins but also arise from previously non-coding DNA. These proteins are called de novo proteins. Their properties are still poorly understood and their experimental analysis faces major obstacles. Here, we aim to present a starting point for soluble expression of de novo proteins with the help of chaperones and thereby enable further characterization.
| S-EPMC9278007 | biostudies-literature
Project description:Small RNAs (~20 to 24 nucleotides) function as naturally occurring molecules critical in developmental pathways in plants and animals. Here we analyze small RNA populations from mature rice grain and seedlings by pyrosequencing. Using a clustering algorithm to locate regions producing small RNAs, we classified hotspots of small RNA generation within the genome. Hotspots here are defined as 1 kb regions within which small RNAs are significantly overproduced relative to the rest of the genome. Hotspots were identified to facilitate characterization of different categories of small RNA regulatory elements. Included in the hotspots, we found known members of 23 miRNA families representing 92 genes, one trans acting siRNA (ta-siRNA) gene, novel siRNA-generating coding genes and phased siRNA generating genes. Interestingly, over 20% of the small RNA population in grain came from a single foldback structure, which generated eight phased 21-nt siRNAs. This is reminiscent of a newly arising miRNA derived from duplication of progenitor genes. Our results provide data identifying distinct populations of small RNAs, including phased small RNAs, in mature grain to facilitate characterization of small regulatory RNA expression in monocot species. In an attempt to gain a broader understanding of gene expression in rice grain, we characterized small RNA populations from Oryza sativa spp. japonica cv. Nipponbare utilizing a deep sequencing approach. Small RNA libraries were constructed from three pools of mature, dormant rice grain and three-week post germination seedlings utilizing RNA-adapter mediated ligation. Each of the four libraries were independently sequenced using high-throughput pyrosequencing. We obtained a total of 679,146 sequences from the three rice grain libraries and 257,394 from one rice seedling library.
2008-11-24 | E-GEOD-13152 | biostudies-arrayexpress
Project description:Small RNAs (~20 to 24 nucleotides) function as naturally occurring molecules critical in developmental pathways in plants and animals. Here we analyze small RNA populations from mature rice grain and seedlings by pyrosequencing. Using a clustering algorithm to locate regions producing small RNAs, we classified hotspots of small RNA generation within the genome. Hotspots here are defined as 1 kb regions within which small RNAs are significantly overproduced relative to the rest of the genome. Hotspots were identified to facilitate characterization of different categories of small RNA regulatory elements. Included in the hotspots, we found known members of 23 miRNA families representing 92 genes, one trans acting siRNA (ta-siRNA) gene, novel siRNA-generating coding genes and phased siRNA generating genes. Interestingly, over 20% of the small RNA population in grain came from a single foldback structure, which generated eight phased 21-nt siRNAs. This is reminiscent of a newly arising miRNA derived from duplication of progenitor genes. Our results provide data identifying distinct populations of small RNAs, including phased small RNAs, in mature grain to facilitate characterization of small regulatory RNA expression in monocot species.
2008-11-24 | GSE13152 | GEO
Project description:A microarray analysis of wheat grain hardness Keywords: Cultivar Comparison
2006-07-25 | GSE5369 | GEO
Project description:Grain length is a prominent determinant for the grain weight and appearance quality of rice. To elucidate the genetic basis of the control of grain length, we conducted quantitative trait locus (QTL) mapping to determine a genomic interval responsible for the a long-grain phenotype observed in a japonica cultivar HD385 by using an F2:3 population and recombinant inbred line (RIL) population, which is are derived from a cross between the long-grain japonica cultivar HD385 and short-grain japonica cultivar Nipponbare (NIP). This led to the identification of a novel QTL, which is located on chromosome 3, for grain length, named qIGL1 (for Increased Grain Length 1); the HD385-derived allele showed enhancement effects on grain length, and such an allele as well as NIP-derived allele are were thus designated qigl1 HD385 and qIGL1NIP, respectively. Genetic analysis revealed that qigl1HD385 displayed semi-dominant effects on grain length. To further narrow down the qIGL1 region, we developed a few advanced backcross populations to determine the precise location of qIGL1. Eventually, qIGL1 was delimited to a 70.8-kb region containing 9 open reading frames (ORFs). A comprehensive analysis indicated that ORF6 and ORF9, separately corresponding to LOC_Os03g30530 and LOC_Os03g30550, are were found to carry base substitutions and/or deletions, which resulted in changes or losses of amino acid residues. However, these alterations in coding sequences does did not significantly change the expression levels of both ORFs. To further elucidate the mechanisms behind the increases of grain length conferred by qigl1HD385, we generated a pair of near-isogenic lines (NILs), termed NIL-qigl1HD385 and NIL-qIGL1NIP, and discovered that introduction of qigl1HD385 into the NIP background significantly lead resulted into the elevations of grain length and 1000-grain weight. Closer inspection of outer epidermal cells of grain surfaces of both lines revealed that the cell length and width in the longitudinal direction are were significantly longer in NIL-qigl1HD385 compared with in NIL-qIGL1NIP, which may might stem partly from the downregulation of several cell cycle-related genes. Hence, our study studies identify identified a new semi-dominant natural allele contributing to the increase of grain length, and further shed light on the regulatory mechanisms of grain length.
2023-08-22 | GSE241093 | GEO