Evidence map›Paper›PMID 21668981›Full record

ArticleBMC plant biology2011

Transcriptional regulatory programs underlying barley germination and regulatory functions of Gibberellin and abscisic acid.

Yong-Qiang An, Li Lin

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
7.0field-weighted citation impact, top 4% of its field
1 · What the graph read from it

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.

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

33 citing papers in PubMed, 79 citations in OpenAlex.

  1. Article
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  4. Article
  5. A Travel through Landscapes of Seed Dormancy.Plants (Basel, Switzerland) · 2023
    Review
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  7. Article
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  9. Article
  10. Review
  11. Dynamic Transcriptomic and Metabolomic Analyses ofFrontiers in plant science · 2021
    Article
  12. Article
  13. Article
  14. Genes · 2020
    Article
  15. Article
  16. Analysis of the Barley Malt Rootlet Proteome.International journal of molecular sciences · 2019
    Article
  17. Article
  18. Review
  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

2 authors at 2 institutions in 1 country.

Yong-Qiang AnUS Department of Agriculture, Agriculture Research Service, Midwest Area, Plant Genetics Research at Donald Danforth Plant Sciences Center, 975 N Warson Road, St, Louis, MO 63132, USA. yong-qiang.an@ars.usda.gov
Li Lin
Donald Danforth Plant Science Center · USUniversity of Massachusetts Amherst · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeed germination is a complex multi-stage developmental process, and mainly accomplished through concerted activities of many gene products and biological pathways that are often subjected to strict developmental regulation. Gibberellins (GA) and abscisic acid (ABA) are two key phytohormones regulating seed germination and seedling growth. However, transcriptional regulatory networks underlying seed germination and its associated biological pathways are largely unknown.

resultsThe studies examined transcriptomes of barley representing six distinct and well characterized germination stages and revealed that the transcriptional regulatory program underlying barley germination was composed of early, late, and post-germination phases. Each phase was accompanied with transcriptional up-regulation of distinct biological pathways. Cell wall synthesis and regulatory components including transcription factors, signaling and post-translational modification components were specifically and transiently up-regulated in early germination phase while histone families and many metabolic pathways were up-regulated in late germination phase. Photosynthesis and seed reserve mobilization pathways were up-regulated in post-germination phase. However, stress related pathways and seed storage proteins were suppressed through the entire course of germination. A set of genes were transiently up-regulated within three hours of imbibition, and might play roles in initiating biological pathways involved in seed germination. However, highly abundant transcripts in dry barley and Arabidopsis seeds were significantly conserved. Comparison with transcriptomes of barley aleurone in response to GA and ABA identified three sets of germination responsive genes that were regulated coordinately by GA, antagonistically by ABA, and coordinately by GA but antagonistically by ABA. Major CHO metabolism, cell wall degradation and protein degradation pathways were up-regulated by both GA and seed germination. Those genes and metabolic pathways are likely to be important parts of transcriptional regulatory networks underlying GA and ABA regulation of seed germination and seedling growth.

conclusionsThe studies developed a model depicting transcriptional regulatory programs underlying barley germination and GA and ABA regulation of germination at gene, pathway and systems levels, and established a standard transcriptome reference for further integration with various -omics and biological data to illustrate biological networks underlying seed germination. The studies also generated a great amount of systems biological evidence for previously proposed hypotheses, and developed a number of new hypotheses on transcriptional regulation of seed germination for further experimental validation.

Indexed as

GerminationAbscisic Acidalpha-AmylasesArabidopsisCell WallGene Expression ProfilingGene Expression Regulation, DevelopmentalGene Expression Regulation, PlantGenes, PlantGibberellinsHordeumOligonucleotide Array Sequence AnalysisPhotosynthesisRNA, PlantSeedlingsSeedsAbscisic Acidalpha-AmylasesGibberellinsRNA, PlantWater

Identifiers

PMID21668981
PMCPMC3130657
OpenAlexW2043721103

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.