Evidence map›Paper›PMID 20833726›Full record

ArticlePlant physiology2010

Regulatory network identification by genetical genomics: signaling downstream of the Arabidopsis receptor-like kinase ERECTA.

Inez R Terpstra, L Basten Snoek, Joost J B Keurentjes, Anton J M Peeters, Guido van den Ackerveken

Open access · hybridAbstract read
In one paragraph

Article in Plant physiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

28 citing papers in PubMed, 58 citations in OpenAlex.

  1. Plasticity of maternal environment-dependent expression-QTLs of tomato seeds.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  2. Article
  3. Network Analysis PrioritizesG3 (Bethesda, Md.) · 2020
    Article
  4. Dissecting the eQTL Micro-Architecture inFrontiers in genetics · 2020
    Article
  5. WormQTL2: an interactive platform for systems genetics in Caenorhabditis elegans.Database : the journal of biological databases and curation · 2020
    Article
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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

5 authors at 2 institutions in 1 country.

Inez R TerpstraPlant-Microbe Interactions, Institute of Environmental Biology, Department of Biology, Utrecht University, Utrecht, The Netherlands.
L Basten Snoek
Joost J B Keurentjes
Anton J M Peeters
Guido van den Ackerveken
Centre for BioSystems Genomics · NLUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene expression differences between individuals within a species can be largely explained by differences in genetic background. The effect of genetic variants (alleles) of genes on expression can be studied in a multifactorial way by the application of genetical genomics or expression quantitative trait locus mapping. In this paper, we present a strategy to construct regulatory networks by the application of genetical genomics in combination with transcript profiling of mutants that are disrupted in single genes. We describe the network identification downstream of the receptor-like kinase ERECTA in Arabidopsis (Arabidopsis thaliana). Extending genetical genomics on the Landsberg erecta/Cape Verde Islands (Ler/Cvi) recombinant inbred population with expression profiling of monogenic mutants enabled the identification of regulatory networks in the so far elusive ERECTA signal transduction cascade. We provide evidence that ERECTA is the causal gene for the major hotspot for transcript regulation in the Arabidopsis Ler/Cvi recombinant inbred population. We further propose additional genetic variation between Ler and Cvi in loci of the signaling pathway downstream of ERECTA and suggest candidate genes underlying these loci. Integration of publicly available microarray expression data of other monogenic mutants allowed us to link ERECTA to a downstream mitogen-activated protein kinase signaling cascade. Our study shows that microarray data of monogenic mutants can be effectively used in combination with genetical genomics data to enhance the identification of genetic regulatory networks.

Indexed as

Signal TransductionArabidopsisArabidopsis ProteinsDNA, PlantGene Expression ProfilingGene Expression Regulation, PlantGene Regulatory NetworksGenomicsMAP Kinase Signaling SystemMutationOligonucleotide Array Sequence AnalysisProtein Serine-Threonine KinasesQuantitative Trait LociReceptors, Cell SurfaceTranscription FactorsArabidopsis ProteinsDNA, PlantER protein, ArabidopsisProtein Serine-Threonine KinasesReceptors, Cell SurfaceTranscription Factors

Identifiers

PMID20833726
PMCPMC2971588
OpenAlexW2147610191

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.