Evidence map›Paper›PMID 19225455›Full record

ArticleMolecular systems biology2009

Comprehensive analysis of Arabidopsis expression level polymorphisms with simple inheritance.

Stephanie Plantegenet, Johann Weber, Darlene R Goldstein, Georg Zeller, Cindy Nussbaumer, Jérôme Thomas, Detlef Weigel, Keith Harshman, Christian S Hardtke

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.5field-weighted citation impact, top 5% of its field
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

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Systems genetics in "-omics" era: current and future development.Theory in biosciences = Theorie in den Biowissenschaften · 2013
    Review
  5. Article
  6. Review
  7. Article
  8. Reference-guided assembly of four diverse Arabidopsis thaliana genomes.Proceedings of the National Academy of Sciences of the United States of America · 2011
    Article
  9. Article
  10. Article
  11. A hyperactive quantitative trait locus allele of Arabidopsis BRX contributes to natural variation in root growth vigor.Proceedings of the National Academy of Sciences of the United States of America · 2010
    Article
  12. Article
  13. 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

9 authors at 3 institutions in 2 countries.

Stephanie PlantegenetDepartment of Plant Molecular Biology, University of Lausanne, Biophore Building, Lausanne, Switzerland.
Johann Weber
Darlene R Goldstein
Georg Zeller
Cindy Nussbaumer
Jérôme Thomas
Detlef Weigel
Keith Harshman
Christian S Hardtke
University of Lausanne · CHMax Planck Institute for Developmental Biology · DESIB Swiss Institute of Bioinformatics · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Arabidopsis thaliana, gene expression level polymorphisms (ELPs) between natural accessions that exhibit simple, single locus inheritance are promising quantitative trait locus (QTL) candidates to explain phenotypic variability. It is assumed that such ELPs overwhelmingly represent regulatory element polymorphisms. However, comprehensive genome-wide analyses linking expression level, regulatory sequence and gene structure variation are missing, preventing definite verification of this assumption. Here, we analyzed ELPs observed between the Eil-0 and Lc-0 accessions. Compared with non-variable controls, 5' regulatory sequence variation in the corresponding genes is indeed increased. However, approximately 42% of all the ELP genes also carry major transcription unit deletions in one parent as revealed by genome tiling arrays, representing a >4-fold enrichment over controls. Within the subset of ELPs with simple inheritance, this proportion is even higher and deletions are generally more severe. Similar results were obtained from analyses of the Bay-0 and Sha accessions, using alternative technical approaches. Collectively, our results suggest that drastic structural changes are a major cause for ELPs with simple inheritance, corroborating experimentally observed indel preponderance in cloned Arabidopsis QTL.

Indexed as

Gene Expression Regulation, PlantPolymorphism, GeneticArabidopsisBase SequenceGene Expression ProfilingGenetic VariationQuantitative Trait LociRegulatory Sequences, Nucleic Acid

Identifiers

PMID19225455
PMCPMC2657532
OpenAlexW2027374000

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.