Document Detail


Evolutionary rate of human tissue-specific genes are related with transposable element insertions.
MedLine Citation:
PMID:  23337972     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
The influence of transposable elements (TEs) on genome evolution has been widely studied. However, it remains unclear whether TE insertions also impact on evolutionary rate of human genes. In this study, we have compared the differences in TEs and evolutionary rates between human tissue-specific genes. Our results showed that various functional categories of human tissue-specific genes contained different TE numbers and divergent values of Ka/Ks, with human nucleic acid binding transcription factor activity genes having the fewest TE density and Ka/Ks value. Interestingly, we also found that human tissue-specific genes with TEs have also undergone faster evolution than those without TEs. Therefore, TEs have significant impact on the evolutionary rates of human tissue-specific genes. Furthermore, local genomic properties such as gene length, GC content and recombination rate may reflect a true transpositional bias for the particular TEs. Our results may provide important insights for further elucidating the evolution of human tissue-specific genes.
Authors:
Ping Jin; Sheng Qin; Xi Chen; Yumei Song; Jesse Li-Ling; Xiaofeng Xu; Fei Ma
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-1-22
Journal Detail:
Title:  Genetica     Volume:  -     ISSN:  1573-6857     ISO Abbreviation:  Genetica     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2013-1-22     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0370740     Medline TA:  Genetica     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
Laboratory for Comparative Genomics and Bioinformatics & Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Science, Nanjing Normal University, Nanjing, 210046, China.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Antibody orientation on biosensor surfaces: a minireview.
Next Document:  Mechanobiology: a new frontier for human pluripotent stem cells.