Evidence map›Paper›PMID 26432876›Full record

ArticlePlant physiology2015

Variability and Constancy in Cellular Growth of Arabidopsis Sepals.

Gerardo Tauriello, Heather M Meyer, Richard S Smith, Petros Koumoutsakos, Adrienne H K Roeder

Abstract read
In one paragraph

Article in Plant physiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
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  5. Review
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  11. Quantitative plant biology · 2021
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Modulation of tissue growth heterogeneity by responses to mechanical stress.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  17. 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.

Gerardo TaurielloComputational Science and Engineering Laboratory, ETH Zürich, 8092 Zurich, Switzerland (G.T., P.K.);Weill Institute for Cell and Molecular Biology (H.M.M., A.H.K.R.), Genetics, Genomics, and Development Program (H.M.M., A.H.K.R), and School of Integrative Plant Sciences, Section of Plant Biology (A.H.K.R), Cornell University, Ithaca, New York 14853; andDepartment of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, 50829 Cologne, Germany (R.S.S.).
Heather M MeyerComputational Science and Engineering Laboratory, ETH Zürich, 8092 Zurich, Switzerland (G.T., P.K.);Weill Institute for Cell and Molecular Biology (H.M.M., A.H.K.R.), Genetics, Genomics, and Development Program (H.M.M., A.H.K.R), and School of Integrative Plant Sciences, Section of Plant Biology (A.H.K.R), Cornell University, Ithaca, New York 14853; andDepartment of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, 50829 Cologne, Germany (R.S.S.).
Richard S SmithComputational Science and Engineering Laboratory, ETH Zürich, 8092 Zurich, Switzerland (G.T., P.K.);Weill Institute for Cell and Molecular Biology (H.M.M., A.H.K.R.), Genetics, Genomics, and Development Program (H.M.M., A.H.K.R), and School of Integrative Plant Sciences, Section of Plant Biology (A.H.K.R), Cornell University, Ithaca, New York 14853; andDepartment of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, 50829 Cologne, Germany (R.S.S.).
Petros KoumoutsakosComputational Science and Engineering Laboratory, ETH Zürich, 8092 Zurich, Switzerland (G.T., P.K.);Weill Institute for Cell and Molecular Biology (H.M.M., A.H.K.R.), Genetics, Genomics, and Development Program (H.M.M., A.H.K.R), and School of Integrative Plant Sciences, Section of Plant Biology (A.H.K.R), Cornell University, Ithaca, New York 14853; andDepartment of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, 50829 Cologne, Germany (R.S.S.).ORCID http://orcid.org/0000-0001-8337-2122
Adrienne H K RoederComputational Science and Engineering Laboratory, ETH Zürich, 8092 Zurich, Switzerland (G.T., P.K.);Weill Institute for Cell and Molecular Biology (H.M.M., A.H.K.R.), Genetics, Genomics, and Development Program (H.M.M., A.H.K.R), and School of Integrative Plant Sciences, Section of Plant Biology (A.H.K.R), Cornell University, Ithaca, New York 14853; andDepartment of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, 50829 Cologne, Germany (R.S.S.) ahr75@cornell.edu.ORCID http://orcid.org/0000-0001-6685-2984

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Growth of tissues is highly reproducible; yet, growth of individual cells in a tissue is highly variable, and neighboring cells can grow at different rates. We analyzed the growth of epidermal cell lineages in the Arabidopsis (Arabidopsis thaliana) sepal to determine how the growth curves of individual cell lineages relate to one another in a developing tissue. To identify underlying growth trends, we developed a continuous displacement field to predict spatially averaged growth rates. We showed that this displacement field accurately describes the growth of sepal cell lineages and reveals underlying trends within the variability of in vivo cellular growth. We found that the tissue, individual cell lineages, and cell walls all exhibit growth rates that are initially low, accelerate to a maximum, and decrease again. Accordingly, these growth curves can be represented by sigmoid functions. We examined the relationships among the cell lineage growth curves and surprisingly found that all lineages reach the same maximum growth rate relative to their size. However, the cell lineages are not synchronized; each cell lineage reaches this same maximum relative growth rate but at different times. The heterogeneity in observed growth results from shifting the same underlying sigmoid curve in time and scaling by size. Thus, despite the variability in growth observed in our study and others, individual cell lineages in the developing sepal follow similarly shaped growth curves.

Indexed as

Cell LineageArabidopsisCell DivisionCell WallFlowersModels, BiologicalPlant Epidermis

Identifiers

PMID26432876
PMCPMC4677887

What OpenQuestion holds

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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.