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Table 2 Extreme values of structural parameters scale as power-laws of expression levels for plant genes.

From: In plants, expression breadth and expression level distinctly and non-linearly correlate with gene structure

 

Arabidopsis

Rice

Parameters

Exp tot

Exp avg

Peak

Exp tot

Exp avg

Peak

Primary transcript length

-0.32(0.88)

-0.44(0.87)

-0.35(0.84)

-0.55(0.82)

-0.52(0.87)

-0.50(0.82)

Intron number per gene

-0.36(0.84)

-0.52(0.84)

-0.34(0.79)

-0.59(0.73)

-0.51(0.74)

-0.63(0.77)

Total intron length

-0.36(0.85)

-0.51(0.86)

-0.39(0.77)

-0.64(0.72)

-0.60(0.78)

-0.76(0.78)

Average intron length

-0.23(0.66)

-0.36(0.67)

-0.22(0.42)

-0.58(0.70)

-0.56(0.79)

-0.66(0.77)

CDS length

-0.33(0.86)

-0.45(0.83)

-0.36(0.80)

-0.51(0.81)

-0.44(0.81)

-0.50(0.80)

  1. Exponents of the power-laws are shown. For each combination of structural and expression variables, the linear regression was done as follows: both variables were firstly log-transformed; the range of expression variable was then equally divided into ~100 spaces; for each space, the median expression value and the maximum structural value were selected; these maximum dependent values were fitted against the medium independent values. Numbers in parentheses show the coeffiecients of determination (r2) for the linear regressions. For all regressions, P-value < 2e-16 according to analysis of variance. Exp tot , total expression level; Exp avg , average expression level; Peak, peak expression level across tissues.
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Biology Direct

ISSN: 1745-6150

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