The expression tractability of biological traits shaped by natural selection

Li Liu; Jianguo Wang; Jian-Rong Yang; Feng Wang; Xionglei He

doi:10.1016/j.jgg.2019.08.001

Volume 46 Issue 8

Aug. 2019

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The expression tractability of biological traits shaped by natural selection

doi: 10.1016/j.jgg.2019.08.001

a
State Key Laboratory of Bio-control, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China
b
Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China

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Corresponding author: E-mail address: hexiongl@mail.sysu.edu.cn (Xionglei He)
Received Date: 2019-05-29
Accepted Date: 2019-08-01
Rev Recd Date: 2019-07-31

Available Online: 2019-08-13

Publish Date: 2019-08-20

Abstract

Abstract

Understanding how gene expression is translated to phenotype is central to modern molecular biology, and the success is contingent on the intrinsic tractability of the specific traits under examination. However, an a priori estimate of trait tractability from the perspective of gene expression is unavailable. Motivated by the concept of entropy in a thermodynamic system, we here propose such an estimate (S_T) by gauging the number (N) of expression states that underlie the same trait abnormality, with large S_T corresponding to large N. By analyzing over 200 yeast morphological traits, we show that S_T predicts the tractability of an expression-trait relationship. We further show thatS_T is ultimately determined by natural selection, which builds co-regulated gene modules to minimize possible expression states.
- Natural selection,
- Tractability,
- Expression state,
- Complex trait

These authors contribute equally to this work.

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References(31)

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