Choosing a suitable method for the identification of replication origins in microbial genomes.
As the replication of genomic DNA is arguably the most important task performed by a cell and given that it is controlled at the initiation stage, the events that occur at the replication origin play a central role in the cell cycle. Making sense of DNA replication origins is important for improving our capacity to study cellular processes and functions in the regulation of gene expression, genome integrity in much finer detail. Thus, clearly comprehending the positions and sequences of replication origins which are fundamental to chromosome organization and duplication is the first priority of all. In view of such important roles of replication origins, tremendous work has been aimed at identifying and testing the specificity of replication origins. A number of computational tools based on various skew types have been developed to predict replication origins. Using various in silico approaches such as Ori-Finder, and databases such as DoriC, researchers have predicted the locations of replication origins sites for thousands of bacterial chromosomes and archaeal genomes. Based on the predicted results, we should choose an effective method for identifying and confirming the interactions at origins of replication. Here we describe the main existing experimental methods that aimed to determine the replication origin regions and list some of the many the practical applications of these methods.
Department of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University Tianjin, China ; Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin University Tianjin, China ; Collaborative Innovation Center of Chemical Science and Engineering Tianjin, China.
Chengcheng
C
Song
Department of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University Tianjin, China ; Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin University Tianjin, China ; Collaborative Innovation Center of Chemical Science and Engineering Tianjin, China.
Shaocun
S
Zhang
Department of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University Tianjin, China ; Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin University Tianjin, China ; Collaborative Innovation Center of Chemical Science and Engineering Tianjin, China.
He
H
Huang
ChIP; ChIP-seq; Dnase I footprinting; EMSA; ITC; RIP mapping; SPR; replication origin