ArticleBMC plant biology2008
Transcriptomic profiling of mature embryo from an elite super-hybrid rice LYP9 and its parental lines.
Article in BMC plant biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
27 citing papers in PubMed.
- Transcriptome and weighted gene co-enrichment analysis revealed modules and candidate genes associated with barley response to low potassium stress.Frontiers in plant science · 2026Article
- Comparative Analysis of Hulless Barley Transcriptomes to Regulatory Effects of Phosphorous Deficiency.Life (Basel, Switzerland) · 2024Article
- Dynamic roles of small RNAs and DNA methylation associated with heterosis in allotetraploid cotton (Gossypium hirsutum L.).BMC plant biology · 2023Article
- Genetic Analysis for the Flag Leaf Heterosis of a Super-Hybrid Rice WFYT025 Combination Using RNA-Seq.Plants (Basel, Switzerland) · 2023Article
- Transcriptomic Analysis Reveals Panicle Heterosis in an Elite Hybrid Rice ZZY10 and Its Parental Lines.Plants (Basel, Switzerland) · 2023Article
- A Review of Integrative Omic Approaches for Understanding Rice Salt Response Mechanisms.Plants (Basel, Switzerland) · 2022Review
- Transcriptome analysis reveals the molecular mechanisms of heterosis on thermal resistance in hybrid abalone.BMC genomics · 2021Article
- Transcriptome Analysis by RNA-Seq Reveals Genes Related to Plant Height in Two Sets of Parent-hybrid Combinations in Easter lily (Lilium longiflorum).Scientific reports · 2020Article
- Differential Expression of Genes at Panicle Initiation and Grain Filling Stages Implied in Heterosis of Rice Hybrids.International journal of molecular sciences · 2020Article
- Transcriptome and Metabolite Profiling Reveal Novel Insights into Volatile Heterosis in the Tea Plant (Molecules (Basel, Switzerland) · 2019Article
- Rice Genomics: over the Past Two Decades and into the Future.Genomics, proteomics & bioinformatics · 2018Review
- Cis-regulated additively expressed genes play a fundamental role in the formation of triploid loquat (Eriobotrya japonica (Thunb.) Lindl.) Heterosis.Molecular genetics and genomics : MGG · 2018Article
- Transcriptomic analyses reveal molecular mechanisms underlying growth heterosis and weakness of rubber tree seedlings.BMC plant biology · 2018Article
- Transcriptome and functional analysis reveals hybrid vigor for oil biosynthesis in oil palm.Scientific reports · 2017Article
- Comparative transcriptome analysis of flower heterosis in two soybean F1 hybrids by RNA-seq.PloS one · 2017Article
- Transcriptome Analysis of Salt Stress Responsiveness in the Seedlings of Dongxiang Wild Rice (Oryza rufipogon Griff.).PloS one · 2016Article
- Genome-wide mapping of 5-hydroxymethylcytosine in three rice cultivars reveals its preferential localization in transcriptionally silent transposable element genes.Journal of experimental botany · 2015Article
- Plant transcriptomics and responses to environmental stress: an overview.Journal of genetics · 2015Review
- Transcriptome Analysis of Interspecific Hybrid between Brassica napus and B. rapa Reveals Heterosis for Oil Rape Improvement.International journal of genomics · 2015Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe mature embryo of rice (Oryza sativa, L.) is a synchronized and integrated tissue mass laying the foundation at molecular level for its growth, development, and differentiation toward a developing and ultimately a mature plant. We carried out an EST (expressed-sequence-tags)-based transcriptomic study, aiming at gaining molecular insights into embryonic development of a rice hybrid triad-an elite hybrid rice LYP9 and its parental lines (93-11 and PA64s)-and possible relatedness to heterosis.
resultsWe generated 27,566 high-quality ESTs from cDNA libraries made from mature rice embryos. We classified these ESTs into 7,557 unigenes (2,511 contigs and 5,046 singletons) and 7,250 (95.9%) of them were annotated. We noticed that the high-abundance genes in mature rice embryos belong to two major functional categories, stress-tolerance and preparation-for-development, and we also identified 191 differentially-expressed genes (General Chi-squared test, P-value <= 0.05) between LYP9 and its parental lines, representing typical expression patterns including over-dominance, high- and low-parent dominance, additivity, and under-dominance. In LYP9, the majority of embryo-associated genes were found not only abundantly and specifically enriched but also significantly up-regulated.
conclusionOur results suggested that massively strengthening tissue-(or stage-) characteristic functions may contribute to heterosis rather than a few simple mechanistic explanations at the individual gene level. In addition, the large collection of rice embryonic ESTs provides significant amount of data for future comparative analyses on plant development, especially for the important crops of the grass family.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.