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Comparative analysis of differentially expressed genes in Sika deer antler at different stages

Authors :
Siming Wang
Mei Zhang
Baojin Yao
Wei Xiao
Yu Zhao
Hui Zhang
Source :
Molecular Biology Reports. 40:1665-1676
Publication Year :
2012
Publisher :
Springer Science and Business Media LLC, 2012.

Abstract

Deer antlers serve as useful models of rapid growth and mineralization in mammals. During the period of rapid growth, the antlers of many species of deer will elongate by more than 2 cm per day, after which the antlers gradually ossify. However, little is known about the genes that are involved in their development, particularly the molecular mechanisms responsible for rapid growth and ossification. In our previous studies, we have reported on the transcriptome analysis of deer antlers at rapid growth and ossification stages. With the aim to get a comprehensive understanding of gene expression patterns during antler growth, in the present study, we performed a rigorous algorithm to identify differentially expressed genes between two different stages (60 and 90 days) during antler growth. A total of 16,905 significantly changed transcripts were identified. Those sequences were mapped to 5,573 genes with 2,217 genes up-regulated and 3,356 genes down-regulated (60 days vs. 90 days), including ribosomal proteins, translation initiation and elongation factors, transcription factors, signaling molecules and extracellular matrix proteins. We also performed the gene ontology (GO) functional enrichment and pathway enrichment analysis of gene expression patterns with hypergeometric test and Bonferroni Correction. Both the two stages were enriched with members of GO categories and distinct pathways. Our data represent the most comprehensive sequence resource available for the deer antler and provide a basis for further research on deer antler molecular genetics and functional genomics.

Details

ISSN :
15734978 and 03014851
Volume :
40
Database :
OpenAIRE
Journal :
Molecular Biology Reports
Accession number :
edsair.doi.dedup.....cb87994035383412a2b941d0126fa25f
Full Text :
https://doi.org/10.1007/s11033-012-2216-5