ArticleBMC genomics2011
Deep sequencing reveals the complex and coordinated transcriptional regulation of genes related to grain quality in rice cultivars.
Article in BMC genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed, 40 citations in OpenAlex.
- Integrative transcriptogenomic analyses reveal the regulatory network underlying rice eating and cooking quality and identify a role for alpha-globulin in modulating starch and sucrose metabolism.Plant communications · 2025Article
- Transcriptome and Metabolome Analyses Reveal New Insights into the Regulatory Mechanism of Head Milled Rice Rate.Plants (Basel, Switzerland) · 2022Article
- The Function of DNA Demethylase Gene ROS1a Null Mutant on Seed Development in Rice (International journal of molecular sciences · 2022Article
- Exploring the Relationships Between Yield and Yield-Related Traits for Rice Varieties Released in China From 1978 to 2017.Frontiers in plant science · 2019Article
- De novo analysis of transcriptome reveals genes associated with leaf abscission in sugarcane (Saccharum officinarum L.).BMC genomics · 2016Article
- An RNA-Seq-based reference transcriptome for Citrus.Plant biotechnology journal · 2016Article
- Transcriptomic and Metabolomic Studies Disclose Key Metabolism Pathways Contributing to Well-maintained Photosynthesis under the Drought and the Consequent Drought-Tolerance in Rice.Frontiers in plant science · 2016Article
- Proteomic Dissection of Endosperm Starch Granule Associated Proteins Reveals a Network Coordinating Starch Biosynthesis and Amino Acid Metabolism and Glycolysis in Rice Endosperms.Frontiers in plant science · 2016Article
- Rice grain nutritional traits and their enhancement using relevant genes and QTLs through advanced approaches.SpringerPlus · 2016Review
- Deep sequencing transcriptional fingerprinting of rice kernels for dissecting grain quality traits.BMC genomics · 2015Article
- Article
- Improvement of marker-based predictability of Apparent Amylose Content in japonica rice through GBSSI allele mining.Rice (New York, N.Y.) · 2014Article
- Identification of candidate genes associated with positive and negative heterosis in rice.PloS one · 2014Article
- WikiPathways for plants: a community pathway curation portal and a case study in rice and arabidopsis seed development networks.Rice (New York, N.Y.) · 2013Article
- Transcriptomic analysis of rice (Oryza sativa) endosperm using the RNA-Seq technique.Plant molecular biology · 2013Article
- QTL map meets population genomics: an application to rice.PloS one · 2013Article
- Genome-wide analysis of the complex transcriptional networks of rice developing seeds.PloS one · 2012Article
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Authors and funding
8 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMilling yield and eating quality are two important grain quality traits in rice. To identify the genes involved in these two traits, we performed a deep transcriptional analysis of developing seeds using both massively parallel signature sequencing (MPSS) and sequencing-by-synthesis (SBS). Five MPSS and five SBS libraries were constructed from 6-day-old developing seeds of Cypress (high milling yield), LaGrue (low milling yield), Ilpumbyeo (high eating quality), YR15965 (low eating quality), and Nipponbare (control).
resultsThe transcriptomes revealed by MPSS and SBS had a high correlation co-efficient (0.81 to 0.90), and about 70% of the transcripts were commonly identified in both types of the libraries. SBS, however, identified 30% more transcripts than MPSS. Among the highly expressed genes in Cypress and Ilpumbyeo, over 100 conserved cis regulatory elements were identified. Numerous specifically expressed transcription factor (TF) genes were identified in Cypress (282), LaGrue (312), Ilpumbyeo (363), YR15965 (260), and Nipponbare (357). Many key grain quality-related genes (i.e., genes involved in starch metabolism, aspartate amino acid metabolism, storage and allergenic protein synthesis, and seed maturation) that were expressed at high levels underwent alternative splicing and produced antisense transcripts either in Cypress or Ilpumbyeo. Further, a time course RT-PCR analysis confirmed a higher expression level of genes involved in starch metabolism such as those encoding ADP glucose pyrophosphorylase (AGPase) and granule bound starch synthase I (GBSS I) in Cypress than that in LaGrue during early seed development.
conclusionThis study represents the most comprehensive analysis of the developing seed transcriptome of rice available to date. Using two high throughput sequencing methods, we identified many differentially expressed genes that may affect milling yield or eating quality in rice. Many of the identified genes are involved in the biosynthesis of starch, aspartate family amino acids, and storage proteins. Some of the differentially expressed genes could be useful for the development of molecular markers if they are located in a known QTL region for milling yield or eating quality in the rice genome. Therefore, our comprehensive and deep survey of the developing seed transcriptome in five rice cultivars has provided a rich genomic resource for further elucidating the molecular basis of grain quality in rice.
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