Evidence map›Paper›PMID 22744985›Full record

ArticlePlant physiology2012

Integration of bioinformatics and synthetic promoters leads to the discovery of novel elicitor-responsive cis-regulatory sequences in Arabidopsis.

Jeannette Koschmann, Fabian Machens, Marlies Becker, Julia Niemeyer, Jutta Schulze, Lorenz Bülow, Dietmar J Stahl, Reinhard Hehl

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Plant physiology, 2012. 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
8.5field-weighted citation impact, top 2% 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, 60 citations in OpenAlex.

  1. Review
  2. Web-Based Discovery of Regulatory Motifs in Non-model Plants.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Synthetic Botany.Cold Spring Harbor perspectives in biology · 2017
    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

8 authors at 1 institution in 1 country.

Jeannette KoschmannInstitut für Genetik, Technische Universität Braunschweig, 38106 Braunschweig, Germany.
Fabian Machens
Marlies Becker
Julia Niemeyer
Jutta Schulze
Lorenz Bülow
Dietmar J Stahl
Reinhard Hehl
Technische Universität Braunschweig · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A combination of bioinformatic tools, high-throughput gene expression profiles, and the use of synthetic promoters is a powerful approach to discover and evaluate novel cis-sequences in response to specific stimuli. With Arabidopsis (Arabidopsis thaliana) microarray data annotated to the PathoPlant database, 732 different queries with a focus on fungal and oomycete pathogens were performed, leading to 510 up-regulated gene groups. Using the binding site estimation suite of tools, BEST, 407 conserved sequence motifs were identified in promoter regions of these coregulated gene sets. Motif similarities were determined with STAMP, classifying the 407 sequence motifs into 37 families. A comparative analysis of these 37 families with the AthaMap, PLACE, and AGRIS databases revealed similarities to known cis-elements but also led to the discovery of cis-sequences not yet implicated in pathogen response. Using a parsley (Petroselinum crispum) protoplast system and a modified reporter gene vector with an internal transformation control, 25 elicitor-responsive cis-sequences from 10 different motif families were identified. Many of the elicitor-responsive cis-sequences also drive reporter gene expression in an Agrobacterium tumefaciens infection assay in Nicotiana benthamiana. This work significantly increases the number of known elicitor-responsive cis-sequences and demonstrates the successful integration of a diverse set of bioinformatic resources combined with synthetic promoter analysis for data mining and functional screening in plant-pathogen interaction.

Indexed as

Genes, SyntheticPromoter Regions, GeneticRegulatory Sequences, Nucleic AcidAgrobacterium tumefaciensArabidopsisBinding SitesComputational BiologyConserved SequenceDatabases, GeneticData MiningDNA, PlantGene Expression Regulation, PlantGenes, PlantGenetic VectorsHost-Pathogen InteractionsMolecular Sequence AnnotationDNA, Plant

Identifiers

PMID22744985
PMCPMC3440196
OpenAlexW2097238679

What OpenQuestion holds

Textmetadata
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.