Gene Expression of a Hybrid Rice Strain(LYP9) and Its Parental Cultivars
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ABSTRACT:
ORGANISM(S): Oryza sativa
PROVIDER: GSE8048 | GEO | 2007/06/08
SECONDARY ACCESSION(S): PRJNA100873
REPOSITORIES: GEO
Similar Datasets
Project description:Based our serial analysis of gene expression (SAGE) data from an elite Chinese super-hybrid rice (LYP9) and its parental cultivars (93-11 and PA64s) in three major tissue types at three different developmental stages, we obtained a much more comprehensive view of genes that related to rice heterosis and analyzed the potential effects of gene-expression difference on the heterosis of rice.These heterotic expression genes among different genotypes provided new avenues for exploring the molecular mechanisms underlying heterosis, including variable gene expression patterns. Keywords: Heterosis study by SAGE We constructed nine SAGE libraries parallelly, including root at the first tillering stage, leaf at the milky stage of rice grain maturation, and panicle at the pollen-maturing stage of hybrid rice (LYP9) and its paternal lines (9311, PA64s).
2007-06-07 | E-GEOD-8048 | biostudies-arrayexpress
Project description:Heterosis has long been exploited for crop breeding; however, the genetic mechanisms, particularly the initial establishment of heterosis during the early vegetative growth phase, remain elusive. The biggest challenge for that is to exclude noise genes from the identified heterosis-related candidates. Herein, we use nutrient-deficient hybrid with no measurable growth heterosis as control to filter potential background noise differentially expressed genes In this dataset, we compared the differentially expressed genes in both heterotic and non-heterotic hybrid. After filtering these irrelevant genes, only 336 differentially expressed genes (DEGs), which is significantly lower than those of previous reports, were identified as heterosis-related genes in a super hybrid rice of Liang-You-Pei-Jiu (LYP9) at early-tillering stage
2016-11-07 | GSE85765 | GEO
Project description:Heterosis is an important biological phenomenon; however, the role of small RNA (sRNA) in heterosis of hybrid rice remains poorly described. Here, we performed sRNA profiling of F1 super-hybrid rice LYP9 and its parents using high-throughput sequencing technology, and identified 355 distinct mature microRNAs and trans-acting small interfering RNAs, 69 of which were differentially expressed sRNAs (DES) between the hybrid and the mid-parental value. Among these, 34 DES were predicted to target 176 transcripts, of which 112 encoded 94 transcription factors. Further analysis showed that 67.6% of DES expression levels were negatively correlated with their target mRNAs either in flag leaves or panicles. The target genes of DES were significantly enriched in some important biological processes, including the auxin signalling pathway, in which existed a regulatory network mediated by DES and their targets, closely associated with plant growth and development. Overall, 20.8% of DES and their target genes were significantly enriched in quantitative trait loci of small intervals related to important rice agronomic traits including growth vigour, grain yield, and plant architecture, suggesting that the interaction between sRNAs and their targets contributes to the heterotic phenotypes of hybrid rice. Our findings revealed that sRNAs might play important roles in hybrid vigour of super-hybrid rice by regulating their target genes, especially in controlling the auxin signalling pathway. The above finding provides a novel insight into the molecular mechanism of heterosis. We constructed six sRNA sequencing libraries and six mRNA sequencing libraries of flag leaves and panicles of the super-hybrid rice Liangyou-pei9 (LYP9) combination at the grain-filling stage. The above hybrid rice combination includes F1 hybrid LYP9 and its parental lines including the male-sterile line Peiai64s (PA64s) and the restorer line 93-11.
2014-08-17 | E-GEOD-51468 | biostudies-arrayexpress
Project description:Heterosis is an important biological phenomenon; however, the role of small RNA (sRNA) in heterosis of hybrid rice remains poorly described. Here, we performed sRNA profiling of F1 super-hybrid rice LYP9 and its parents using high-throughput sequencing technology, and identified 355 distinct mature microRNAs and trans-acting small interfering RNAs, 69 of which were differentially expressed sRNAs (DES) between the hybrid and the mid-parental value. Among these, 34 DES were predicted to target 176 transcripts, of which 112 encoded 94 transcription factors. Further analysis showed that 67.6% of DES expression levels were negatively correlated with their target mRNAs either in flag leaves or panicles. The target genes of DES were significantly enriched in some important biological processes, including the auxin signalling pathway, in which existed a regulatory network mediated by DES and their targets, closely associated with plant growth and development. Overall, 20.8% of DES and their target genes were significantly enriched in quantitative trait loci of small intervals related to important rice agronomic traits including growth vigour, grain yield, and plant architecture, suggesting that the interaction between sRNAs and their targets contributes to the heterotic phenotypes of hybrid rice. Our findings revealed that sRNAs might play important roles in hybrid vigour of super-hybrid rice by regulating their target genes, especially in controlling the auxin signalling pathway. The above finding provides a novel insight into the molecular mechanism of heterosis.
2014-08-17 | GSE51468 | GEO
Project description:Heterosis refers to the superior performance of the hybrid compared with its parental lines. Despite several genetic models and different molecular pathways proposed to explain heterosis, it remains unclear how hybrid cells integrate complementary gene expression, metabolic accumulation and/or hormone signaling to drive heterotic growth. In this work, using integrative omics combined with biochemical analyses, we uncovered an enhanced TORC1 signaling in the elite hybrid rice Shanyou 63 (SY63) relative to the parental lines, which was associated with accumulation of growth-promoting (translation, cell division) and energy metabolic (glycolysis and TCA) proteins, enhanced energy metabolic activities, increased histone H3 and cellular protein lysine acetylation, and superior growth of the panicle meristem. Metabolism of nuclear-cytosolic acetyl-Coenzyme A was also enhanced in the hybrid, which paralleled with increases of histone H3 acetylation to selectively target growth-promoting and metabolic genes expression. Lysine acetylation of cellular proteins including TORC1, ribosomal proteins, and energy metabolic enzymes was also augmented and/or remodeled, potentially modulating their activities. The data indicate that the positive feedback loop between TOR-signaling, energy-producing metabolic activity, lysine acetylation, and growth-promoting gene expression is a mechanism underling the superior growth rate of the hybrid. The results imply that any enhanced activity within the loop would drive and sustain the TOR signaling to promote superior growth of hybrids, which may represent a general mechanistic model for heterosis.
2023-10-24 | PXD035495 | Pride
Project description:Heterosis refers to the superior performance of the hybrid compared with its parental lines. Despite several genetic models and different molecular pathways proposed to explain heterosis, it remains unclear how cells integrate complementary gene expression, metabolic accumulation and/or hormone signaling to drive heterotic growth. In this work, using multiple omics combined with biochemical analyses, we showed an enhanced TORC1 signaling of the elite hybrid rice Shanyou 63 (SY63) relative to the parental lines, which was associated with accumulation of growth-promoting (translation, cell division) and energy metabolic (glycolysis and TCA) proteins energy metabolic activities, and superior growth of panicle meristem. Metabolism of nuclear-cytosolic acetyl-Coenzyme A was also enhanced in the hybrid, which paralleled with increases of histone H3 acetylation to selectively target growth-promoting and metabolic genes expression. Lysine acetylation of cellular proteins including TORC1, ribosomal proteins, and energy metabolic enzymes was also augmented and/or remodeled, potentially modulating their activities. The data revealed that the positive feedback loop between TOR-signaling, energy-producing metabolic activity, lysine acetylation, and growth-promoting gene expression is a mechanism underling the superior growth rate of the hybrid. The results implied that an enhanced activity in hybrids would drive and sustain the TOR signaling feedback loop to promote superior growth, which may represent a general mechanistic model for heterosis.
2023-10-24 | PXD035543 | Pride
Project description:In this study, we sequenced small RNA content from three different rice cultivars employing Illumina technology. More than 15 million reads were generated using Illumina high-throughput sequencing platform. After pre-processing, distinct small RNA sequences were identified for each rice cultivars.
2015-12-31 | GSE64651 | GEO
Project description:Using a whole-genome oligonucleotide microarray designed based on known and predicted indica rice genes, we investigated transcriptome profiles in developing leaves and panicles of super hybrid rice LYP9 and its parental cultivar 93-11 and PA64s. We detected 22,266 expressed genes out of 36,926 total gene set collectively from seven tissues, including leaves at seedling and tillering stages, flag leaves at booting, heading, flowering, and filling stages, and panicle at filling stage. Clustering result showed that expression profiles between F1 and its parental lines were always more similar than that between the two parental lines. Out of the total gene set, 7,078 were shared by all sampled tissues and 3,926 (10.6%) were differentially-expressed genes (DG). As we divided DG into those between the parents (DGPP) and between the hybrid and its parents (DGHP), the comparative results showed that genes in the two categories, Energy metabolism and transport, were enriched in DGHP rather than in DGPP. The majority of genes were identified as additive expression, and non-additive expression only took a minority (0.53%-1.35%) of the total genes. In addition, we correlated the concurrence of DG and yield-related QTL, providing a potential group of genes as heterosis-related. We investigated transcriptome profiles in developing leaves and panicles of super hybrid rice LYP9 and its parental cultivar 93-11 and PA64s for seven tissues, and there are at least three independent replicates for each sample pair.
2009-04-22 | E-GEOD-14729 | biostudies-arrayexpress
Project description:In this study, we sequenced small RNA content from three different rice cultivars employing Illumina technology. More than 15 million reads were generated using Illumina high-throughput sequencing platform. After pre-processing, distinct small RNA sequences were identified for each rice cultivars. We collected seedlings of different rice cultivars and total RNA isolated was subjected to Illumina sequencing. The sequenced data was further filtered using NGS QC Toolkit to obtain high-quality reads. The filtered reads were pre-processed using modified perl script provided in the miRTools software. After quality control, the identical reads were collapsed into a unique read and read count for each sequence was recorded. All the filtered unique reads from each sample were mapped on the rice genome to find their location.
2015-12-31 | E-GEOD-64651 | biostudies-arrayexpress
Project description:The improvement of breeding efficiencies for heterotic and climate-resilient crops can mitigate the food shortage crisis from overpopulation and climate change. Thus far, diverse molecular markers have been utilized for guiding field phenotypic selections, while the accurate predictions of complex heterotic traits are rarely reported. Here we present a practical metabolome-based prediction strategy for yield heterosis in rice. The dissection of population structures based on untargeted metabolite profiles, rather than the screening of predictive variables, was proved to be the initial critical step in multivariate modeling. Then the assessment of each predictive variable's contribution to predictive models was more precise according to all latent factors compared to the conventional first one. Metabolites belonging to specific pathways were tightly connected to yield heterosis, and the up-regulation of galactose metabolism represent robust yield heterosis for hybrids across different growth conditions. Our study demonstrates that metabolome-based predictive models with correctly dissected population structures and screened predictive variables can realize accurate prediction of yield heterosis and manifest great potential for establishing molecular marker-based precision breeding programs.
2019-12-10 | MTBLS742 | MetaboLights