Abstract
Gene expression varies stochastically even in both heterogenous and homogeneous cell populations. This variation is not simply useless noise; rather, it is important for many biological processes. Unicellular organisms or cultured cell lines are useful for analyzing the variation in gene expression between cells; however, owing to technical challenges, the biological relevance of this variation in multicellular organisms such as higher plants remain unclear. Here, we addressed the biological relevance of this variation between cells by examining the genetic basis of trichome distribution patterns in Arabidopsis thaliana. The distribution pattern of a trichome on a leaf is stochastic and can be mathematically represented using Turing’s reaction-diffusion (RD) model. We analyzed simulations based on the RD model and found that the variability in the trichome distribution pattern increased with the increase in stochastic variation in a particular gene expression. Moreover, differences in heat-dependent variability of the trichome distribution pattern between the accessions showed a strong correlation with environmental factors to which each accession was adapted. Taken together, we successfully visualized variations in gene expression by quantifying the variability in the Arabidopsis trichome distribution pattern. Thus, our data provide evidence for the biological importance of variations in gene expression for environmental adaptation.
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Claims 4
Claim · model-written summary
The Arabidopsis leaf trichome distribution is stochastic and can be represented by a reaction-diffusion model.
- Taxon
- Arabidopsis
Arabidopsist0 - Organ / stage
- leafe0
- Outcome
- distribution pattern of a trichome on a leafe0
- Value
- stochastice0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The distribution pattern of a trichome on a leaf is stochastic and can be mathematically represented using Turing’s reaction-diffusion (RD) model”
t0“Arabidopsis”
Claim · model-written summary
Simulated trichome distribution variability increased with stochastic variation in gene expression.
- Taxon
- ArabidopsisArabidopsist0
- Gene
- a particular genee0
- Outcome
- variability in the trichome distribution patterne0
- Direction
- increasede0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the variability in the trichome distribution pattern increased with the increase in stochastic variation in a particular gene expression”
t0“Arabidopsis”
Claim · model-written summary
Heat-dependent variability of trichome patterns across accessions was strongly correlated with their adaptation environments.
- Taxon
- ArabidopsisArabidopsist0
- Material
- accessionse0
- Outcome
- heat-dependent variability of the trichome distribution patterne0
- Comparator
- environmental factorse0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“differences in heat-dependent variability of the trichome distribution pattern between the accessions showed a strong correlation with environmental factors to which each accession was adapted”
t0“Arabidopsis”
Claim · model-written summary
Quantifying Arabidopsis trichome distribution variability visualized variation in gene expression.
- Taxon
- ArabidopsisArabidopsise0
- Outcome
- variations in gene expressione0
- Value
- variabilitye0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“we successfully visualized variations in gene expression by quantifying the variability in the Arabidopsis trichome distribution pattern”