Evidence map›Paper›PMID 16009997›Full record

ArticlePlant physiology2005

Serial analysis of gene expression study of a hybrid rice strain (LYP9) and its parental cultivars.

JingYue Bao, Sanggyu Lee, Chen Chen, XiuQing Zhang, Yu Zhang, SiQi Liu, Terry Clark, Jian Wang, MengLiang Cao, HuanMing Yang and 2 more

Abstract read
In one paragraph

Article in Plant physiology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed.

  1. Review
  2. Molecular and physiological basis of heterosis in hybrid rice performance.Molecular breeding : new strategies in plant improvement · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Engineering the lodging resistance mechanism of post-Green Revolution rice to meet future demands.Proceedings of the Japan Academy. Series B, Physical and biological sciences · 2017
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

JingYue BaoBeijing Genomics Institute, Chinese Academy of Sciences, Beijing 101300, China.
Sanggyu Lee
Chen Chen
XiuQing Zhang
Yu Zhang
SiQi Liu
Terry Clark
Jian Wang
MengLiang Cao
HuanMing Yang
San Ming Wang
Jun Yu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using the serial analysis of gene expression technique, we surveyed transcriptomes of three major tissues (panicles, leaves, and roots) of a super-hybrid rice (Oryza sativa) strain, LYP9, in comparison to its parental cultivars, 93-11 (indica) and PA64s (japonica). We acquired 465,679 tags from the serial analysis of gene expression libraries, which were consolidated into 68,483 unique tags. Focusing our initial functional analyses on a subset of the data that are supported by full-length cDNAs and the tags (genes) differentially expressed in the hybrid at a significant level (P<0.01), we identified 595 up-regulated (22 tags in panicles, 228 in leaves, and 345 in roots) and 25 down-regulated (seven tags in panicles, 15 in leaves, and three in roots) in LYP9. Most of the tag-identified and up-regulated genes were found related to enhancing carbon- and nitrogen-assimilation, including photosynthesis in leaves, nitrogen uptake in roots, and rapid growth in both roots and panicles. Among the down-regulated genes in LYP9, there is an essential enzyme in photorespiration, alanine:glyoxylate aminotransferase 1. Our study adds a new set of data crucial for the understanding of molecular mechanisms of heterosis and gene regulation networks of the cultivated rice.

Indexed as

Gene Expression Regulation, PlantChromosome MappingChromosomes, PlantExpressed Sequence TagsGene Expression ProfilingGenome, PlantHybridization, GeneticOryzaSpecies Specificity

Identifiers

PMID16009997
PMCPMC1176396

What OpenQuestion holds

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Registered trials

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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.