Expression breadth and expression abundance behave differently in correlations with evolutionary rates.

ABSTRACT:

Background

One of the main objectives of the molecular evolution and evolutionary systems biology field is to reveal the underlying principles that dictate protein evolutionary rates. Several studies argue that expression abundance is the most critical component in determining the rate of evolution, especially in unicellular organisms. However, the expression breadth also needs to be considered for multicellular organisms.

Results

In the present paper, we analyzed the relationship between the two expression variables and rates using two different genome-scale expression datasets, microarrays and ESTs. A significant positive correlation between the expression abundance (EA) and expression breadth (EB) was revealed by Kendall's rank correlation tests. A novel random shuffling

SUBMITTER: Park SG 

PROVIDER: S-EPMC2924872 | biostudies-literature | 2010 Aug

REPOSITORIES: biostudies-literature