Research Article

Whole Genome-wide Identification of Homologous Candidate Genes in Legume Related to the Regulation of Circadian clock  

Zongfei Li1,2,3,4 , Fang Wei1,2, , Mengdie Cai1,2 , Jie Zhang1,2 , Zhenpeng Liu1 , Xuanjun Fang1,2,3,4
1 Institute of Life Science, Jiyang College of Zhejiang A&F University, Zhuji, 311800,China
2 Cuixi Academy of Biotechnology, Zhuji, 311800,China
3 Hainan Institute of Tropical Agricultural Resources, Sanya, 572025,China
4 College of Life Sciences and Technology, Guangxi University, Nanning, 530005,China

Author    Correspondence author
Plant Gene and Trait, 2017, Vol. 8, No. 4   
Received: 01 Mar., 2017    Accepted: 21 Mar., 2017    Published: 31 Mar., 2017
© 2017 BioPublisher Publishing Platform
This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
In this study, we employed comparative genomics and gene ontology theory, and used genome database of Glycine max and its legume model plants Medicago truncatula, Lotus Japonicus, Glycine max to identify 11 candidate genes, ELF3/ELF4, CCR2, CRB, LWD1/LWD2, FIO1, LUX, ZIK4, LIP1, SFR6, ARR3/ARR4 and TEJ, related to circadian clock regulation pathway. We analyzed the functions and evolutionary trends of these candidate clock-related genes by building molecular evolution trees, protein conserved domain and sequence alignment of orthologs genes. The research showed that there are varying degrees of differentiation in the clock-control pathway between Arabidopsis thaliana and legume species, the differentiation between Lotus japonicas, Medicago truncatula and Arabidopsis in clock regulatory networks is greater than between Glycine max and Arabidopsis, this may due to more genomic evolutional events such as duplication and reorganization happened in Glycine max.

 

Keywords
Biological clock; Legume; Lotus Japonicus; Medicago truncatula; Homologous candidate genes; Whole genome-wide identification

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