Literature DB >> 26431771

Noise-plasticity correlations of gene expression in the multicellular organism Arabidopsis thaliana.

Koudai Hirao1, Atsushi J Nagano2, Akinori Awazu3.   

Abstract

Gene expression levels exhibit stochastic variations among genetically identical organisms under the same environmental conditions (called gene expression "noise" or phenotype "fluctuation"). In yeast and Escherichia coli, positive correlations have been found between such gene expression noise and "plasticity" with environmental variations. To determine the universality of such correlations in both unicellular and multicellular organisms, we focused on the relationships between gene expression "noise" and "plasticity" in Arabidopsis thaliana, a multicellular model organism. In recent studies on yeast and E. coli, only some gene groups with specific properties of promoter architecture, average expression levels, and functions exhibited strong noise-plasticity correlations. However, we found strong noise-plasticity correlations for most gene groups in Arabidopsis; additionally, promoter architecture, functional essentiality of genes, and circadian rhythm appeared to have only a weak influence on the correlation strength. The differences in the characteristics of noise-plasticity correlations may result from three-dimensional chromosomal structures and/or circadian rhythm.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Arabidopsis thaliana; Gene expression noise; Gene expression plasticity; Multicellular organism; Noise–plasticity correlation

Mesh:

Substances:

Year:  2015        PMID: 26431771     DOI: 10.1016/j.jtbi.2015.09.017

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  3 in total

1.  Broad distribution spectrum from Gaussian to power law appears in stochastic variations in RNA-seq data.

Authors:  Akinori Awazu; Takahiro Tanabe; Mari Kamitani; Ayumi Tezuka; Atsushi J Nagano
Journal:  Sci Rep       Date:  2018-05-29       Impact factor: 4.379

2.  Widespread inter-individual gene expression variability in Arabidopsis thaliana.

Authors:  Sandra Cortijo; Zeynep Aydin; Sebastian Ahnert; James Cw Locke
Journal:  Mol Syst Biol       Date:  2019-01-24       Impact factor: 11.429

3.  Co-expression Networks From Gene Expression Variability Between Genetically Identical Seedlings Can Reveal Novel Regulatory Relationships.

Authors:  Sandra Cortijo; Marcel Bhattarai; James C W Locke; Sebastian E Ahnert
Journal:  Front Plant Sci       Date:  2020-12-15       Impact factor: 5.753

  3 in total

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