Evidence map›Paper›PMID 24350948›Full record

ArticleThe New phytologist2014

Metabolism and development - integration of micro computed tomography data and metabolite profiling reveals metabolic reprogramming from floral initiation to silique development.

Anke Bellaire, Till Ischebeck, Yannick Staedler, Isabell Weinhaeuser, Andrea Mair, Sriram Parameswaran, Toshiro Ito, Jürg Schönenberger, Wolfram Weckwerth

Abstract read
In one paragraph

Article in The New phytologist, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

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  15. Linking metabolomics data to underlying metabolic regulation.Frontiers in molecular biosciences · 2014
    Review
  16. 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.

Anke BellaireDepartment of Structural and Functional Botany, Faculty of Life Sciences, University of Vienna, Rennweg 14, Vienna, Austria.
Till IschebeckDepartment of Ecogenomics and Systems Biology, Faculty of Life Sciences, University of Vienna, Althanstrasse 14, Vienna, Austria.
Yannick StaedlerDepartment of Structural and Functional Botany, Faculty of Life Sciences, University of Vienna, Rennweg 14, Vienna, Austria.
Isabell WeinhaeuserDepartment of Ecogenomics and Systems Biology, Faculty of Life Sciences, University of Vienna, Althanstrasse 14, Vienna, Austria.
Andrea MairDepartment of Ecogenomics and Systems Biology, Faculty of Life Sciences, University of Vienna, Althanstrasse 14, Vienna, Austria.
Sriram ParameswaranTemasek Life Sciences Laboratory, National University of Singapore, Singapore, Singapore.
Toshiro ItoTemasek Life Sciences Laboratory, National University of Singapore, Singapore, Singapore.
Jürg SchönenbergerDepartment of Structural and Functional Botany, Faculty of Life Sciences, University of Vienna, Rennweg 14, Vienna, Austria.
Wolfram WeckwerthDepartment of Ecogenomics and Systems Biology, Faculty of Life Sciences, University of Vienna, Althanstrasse 14, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The interrelationship of morphogenesis and metabolism is a poorly studied phenomenon. The main paradigm is that development is controlled by gene expression. The aim of the present study was to correlate metabolism to early and late stages of flower and fruit development in order to provide the basis for the identification of metabolic adjustment and limitations. A highly detailed picture of morphogenesis is achieved using nondestructive micro computed tomography. This technique was used to quantify morphometric parameters of early and late flower development in an Arabidopsis thaliana mutant with synchronized flower initiation. The synchronized flower phenotype made it possible to sample enough early floral tissue otherwise not accessible for metabolomic analysis. The integration of metabolomic and morphometric data enabled the correlation of metabolic signatures with the process of flower morphogenesis. These signatures changed significantly during development, indicating a pronounced metabolic reprogramming in the tissue. Distinct sets of metabolites involved in these processes were identified and were linked to the findings of previous gene expression studies of flower development. High correlations with basic leucine zipper (bZIP) transcription factors and nitrogen metabolism genes involved in the control of metabolic carbon : nitrogen partitioning were revealed. Based on these observations a model for metabolic adjustment during flower development is proposed.

Indexed as

MetabolomeMetabolomicsArabidopsisCarbonCluster AnalysisFlowersMultivariate AnalysisNitrogenPlants, Genetically ModifiedPrincipal Component AnalysisSeedsX-Ray MicrotomographyCarbonNitrogenArabidopsis thalianabasic leucine zipper (bZIP) transcription factorsflower developmentmetabolomicsmorphometrymultivariate statisticsontogenetic trajectorysucrose sensing

Identifiers

PMID24350948
PMCPMC4283998

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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.