Jianguo Wang
Jian-Rong Yang
Feng Wang
Xionglei He
aState Key Laboratory of Bio-control, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China
bZhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
More InformationCorresponding 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 (ST) by gauging the number (N) of expression states that underlie the same trait abnormality, with large ST corresponding to large N. By analyzing over 200 yeast morphological traits, we show that ST predicts the tractability of an expression-trait relationship. We further show thatST is ultimately determined by natural selection, which builds co-regulated gene modules to minimize possible expression states.Keywords: Natural selection,
Tractability,
Expression state,
Complex trait
PDF全文下载地址:
http://www.jgenetgenomics.org/article/exportPdf?id=38aae986-430c-4964-b157-ab68c511f94a&language=en
