Genome-wide identification and evolutionary analysis of the SBP-box gene family in castor bean.
Ontology highlight
ABSTRACT: Genes in the SQUAMOSA promoter-binding-protein (SBP-box) gene family encode transcriptional regulators and perform a variety of regulatory functions that involved in the developmental and physiological processes of plants. In this study, a comprehensive computational analysis identified 15 candidates of the SBP-box gene family in the castor bean (Ricinus communis). The phylogenetic and domain analysis indicated that these genes were divided into two groups (group I and II). The group II was a big branch and was further classified into three subgroups (subgroup II-1 to 3) based on the phylogeny, gene structures and conserved motifs. It was observed that the genes of subgroup II-1 had distinct evolutionary features from those of the other two subgroups, however, were more similar to those of group I. Therefore, we inferred that group I and subgroup II-1 might retain ancient signals, whereas the subgroup II-2 and 3 exhibited the divergence during evolutionary process. Estimation of evolutionary parameters (dN and dN/dS) further supported our hypothesis. At first, the group I was more constrained by strong purifying selection and evolved slowly with a lower substitution rate than group II. As regards the three subgroups, subgroup II-1 had the lowest rate of substitution and was under strong purifying selection. By contrast, subgroups II-2 and 3 evolved more rapidly and experienced less purifying selection. These results indicated that the different evolutionary rates and selection strength caused the different evolutionary patterns of the members of SBP-box genes in castor bean. Taken together, these results provide better insights into understanding evolutionary divergence of the members of SBP-box gene family in castor bean and provide a guide for future functional diverse analyses of this gene family.
SUBMITTER: Zhang SD
PROVIDER: S-EPMC3899293 | biostudies-literature | 2014
REPOSITORIES: biostudies-literature
ACCESS DATA