The expression tractability of biological traits shaped by natural selection

Publication date: Available online 13 August 2019Source: Journal of Genetics and GenomicsAuthor(s): Li Liu, Jianguo Wang, Jianrong Yang, Feng Wang, Xionglei HeAbstractUnderstanding 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 that ST is ultimately determined by natural selection, which builds co-regulated gene modules to minimize possible expression states.
Source: Journal of Genetics and Genomics - Category: Genetics & Stem Cells Source Type: research