원문정보
초록
영어
Many countries have implemented genetic evaluation for fertility traits in recent years. In particular, reproductive trait is a complex trait and need to require a system-level approach for identifying candidate genes related to the trait. To find the candidate gene associated with reproductive trait, we applied a weighted gene co-expression network analysis from expression value of bovine genes. We identified three co-expressed modules associated with reproductive trait from bovine microarray data. Hub genes (ZP4, FHL2 and EGR4) were determined in each module; they were topologically centered with statistically significant value in the gene co-expression network. We were able to find the highly co-expressed gene pairs with a correlation coefficient. Finally, the crucial functions of co-expressed modules were reported from functional enrichment analysis. We suggest that the network-based approach in livestock may an important method for analyzing the complex effects of candidate genes associated with economic traits like reproduction.
목차
INTRODUCTION
MATERIALS AND METHODS
Identification of Candidate Genes Associated with the Pregnancy Rate
Gene Co-Expression Network Construction and Net workModule Identification
Functional Enrichment Analysis
RESULTS AND DISCUSSION
Identification of the Global Co-Expression Network
Detection of Co-Expression Gene Modules Related to the Pregnancy Rate
REFERENCES