Evidence map›Paper›PMID 21343415›Full record

ArticleThe Plant cell2011

Network quantitative trait loci mapping of circadian clock outputs identifies metabolic pathway-to-clock linkages in Arabidopsis.

Rachel E Kerwin, Jose M Jimenez-Gomez, Daniel Fulop, Stacey L Harmer, Julin N Maloof, Daniel J Kliebenstein

Open access · bronzeAbstract read
In one paragraph

Article in The Plant cell, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

69 citing papers in PubMed, 142 citations in OpenAlex.

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9 more citing papers are in PubMed but not listed here.

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

6 authors at 1 institution in 2 countries.

Rachel E KerwinDepartment of Plant Sciences, University of California, Davis, California 95616, USA.
Jose M Jimenez-Gomez
Daniel Fulop
Stacey L Harmer
Julin N Maloof
Daniel J Kliebenstein
University of California, Davis · US

Funding

Molecular analysis of circadian regulation in ArabidopsisR01GM069418 · NIGMS · UNIVERSITY OF CALIFORNIA DAVIS · PI HARMER, STACEY L. · 2004 to 2016
$3.3M
NIGMS NIH HHS R01 GM06418NIGMS NIH HHS R01 GM069418
6 · The paper itself

Abstract

Modern systems biology permits the study of complex networks, such as circadian clocks, and the use of complex methodologies, such as quantitative genetics. However, it is difficult to combine these approaches due to factorial expansion in experiments when networks are examined using complex methods. We developed a genomic quantitative genetic approach to overcome this problem, allowing us to examine the function(s) of the plant circadian clock in different populations derived from natural accessions. Using existing microarray data, we defined 24 circadian time phase groups (i.e., groups of genes with peak phases of expression at particular times of day). These groups were used to examine natural variation in circadian clock function using existing single time point microarray experiments from a recombinant inbred line population. We identified naturally variable loci that altered circadian clock outputs and linked these circadian quantitative trait loci to preexisting metabolomics quantitative trait loci, thereby identifying possible links between clock function and metabolism. Using single-gene isogenic lines, we found that circadian clock output was altered by natural variation in Arabidopsis thaliana secondary metabolism. Specifically, genetic manipulation of a secondary metabolic enzyme led to altered free-running rhythms. This represents a unique and valuable approach to the study of complex networks using quantitative genetics.

Indexed as

Circadian ClocksQuantitative Trait LociArabidopsisChromosome MappingEpistasis, GeneticGene Expression Regulation, PlantGlucosinolatesMetabolomeOligonucleotide Array Sequence AnalysisGlucosinolates

Identifiers

PMID21343415
PMCPMC3077772
OpenAlexW2161545623

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.