Evidence map›Paper›PMID 28018409›Full record

ArticleFrontiers in plant science2016

Mechanical Behavior of Cells within a Cell-Based Model of Wheat Leaf Growth.

Ulyana Zubairova, Sergey Nikolaev, Aleksey Penenko, Nikolay Podkolodnyy, Sergey Golushko, Dmitry Afonnikov, Nikolay Kolchanov

Abstract read
In one paragraph

Article in Frontiers in plant science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. LSM-WBMC systems biology · 2019
    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

7 authors.

Ulyana ZubairovaDepartment of Systems Biology, Institute of Cytology and Genetics (ICG), Siberian Branch of Russian Academy of Science Novosibirsk, Russia.
Sergey NikolaevDepartment of Systems Biology, Institute of Cytology and Genetics (ICG), Siberian Branch of Russian Academy of ScienceNovosibirsk, Russia; Laboratory of Analysis and Optimization of Non-Linear Systems, Institute of Computational Technologies (ICG), Siberian Branch of Russian Academy of ScienceNovosibirsk, Russia.
Aleksey PenenkoLaboratory of Mathematical Modeling of Hydrodynamic Processes in the Environment, Institute of Computational Mathematics and Mathematical Geophysics (ICM & MG), Siberian Branch of Russian Academy of ScienceNovosibirsk, Russia; Chair of Mathematical Methods in Geophysics, Faculty of Mechanics and Mathematics, Novosibirsk State UniversityNovosibirsk, Russia.
Nikolay PodkolodnyyDepartment of Systems Biology, Institute of Cytology and Genetics (ICG), Siberian Branch of Russian Academy of ScienceNovosibirsk, Russia; Laboratory of Mathematical Problems of Geophysics, Institute of Computational Mathematics and Mathematical Geophysics (ICM & MG), Siberian Branch of Russian Academy of ScienceNovosibirsk, Russia; Chair of Informatics Systems, Faculty of Information Technologies, Novosibirsk State UniversityNovosibirsk, Russia.
Sergey GolushkoLaboratory of Analysis and Optimization of Non-Linear Systems, Institute of Computational Technologies (ICG), Siberian Branch of Russian Academy of ScienceNovosibirsk, Russia; Chair of Mathematical Modeling, Faculty of Mechanics and Mathematics, Novosibirsk State UniversityNovosibirsk, Russia.
Dmitry AfonnikovDepartment of Systems Biology, Institute of Cytology and Genetics (ICG), Siberian Branch of Russian Academy of ScienceNovosibirsk, Russia; Chair of Informational Biology, Faculty of Natural Sciences, Novosibirsk State UniversityNovosibirsk, Russia.
Nikolay KolchanovDepartment of Systems Biology, Institute of Cytology and Genetics (ICG), Siberian Branch of Russian Academy of ScienceNovosibirsk, Russia; Chair of Informational Biology, Faculty of Natural Sciences, Novosibirsk State UniversityNovosibirsk, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the principles and mechanisms of cell growth coordination in plant tissue remains an outstanding challenge for modern developmental biology. Cell-based modeling is a widely used technique for studying the geometric and topological features of plant tissue morphology during growth. We developed a quasi-one-dimensional model of unidirectional growth of a tissue layer in a linear leaf blade that takes cell autonomous growth mode into account. The model allows for fitting of the visible cell length using the experimental cell length distribution along the longitudinal axis of a wheat leaf epidermis. Additionally, it describes changes in turgor and osmotic pressures for each cell in the growing tissue. Our numerical experiments show that the pressures in the cell change over the cell cycle, and in symplastically growing tissue, they vary from cell to cell and strongly depend on the leaf growing zone to which the cells belong. Therefore, we believe that the mechanical signals generated by pressures are important to consider in simulations of tissue growth as possible targets for molecular genetic regulators of individual cell growth.

Indexed as

autonomous cell growthcell-based modelscell mechanicsosmotic and turgor pressuresymplastic growthwheat leaf epidermis

Identifiers

PMID28018409
PMCPMC5156783

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.