Dataset Information


Divergence and adaptive evolution of the gibberellin oxidase genes in plants.

ABSTRACT: The important phytohormone gibberellins (GAs) play key roles in various developmental processes. GA oxidases (GAoxs) are critical enzymes in GA synthesis pathway, but their classification, evolutionary history and the forces driving the evolution of plant GAox genes remain poorly understood.This study provides the first large-scale evolutionary analysis of GAox genes in plants by using an extensive whole-genome dataset of 41 species, representing green algae, bryophytes, pteridophyte, and seed plants. We defined eight subfamilies under the GAox family, namely C19-GA2ox, C20-GA2ox, GA20ox,GA3ox, GAox-A, GAox-B, GAox-C and GAox-D. Of these, subfamilies GAox-A, GAox-B, GAox-C and GAox-D are described for the first time. On the basis of phylogenetic analyses and characteristic motifs of GAox genes, we demonstrated a rapid expansion and functional divergence of the GAox genes during the diversification of land plants. We also detected the subfamily-specific motifs and potential sites of some GAox genes, which might have evolved under positive selection.GAox genes originated very early-before the divergence of bryophytes and the vascular plants and the diversification of GAox genes is associated with the functional divergence and could be driven by positive selection. Our study not only provides information on the classification of GAox genes, but also facilitates the further functional characterization and analysis of GA oxidases.


PROVIDER: S-EPMC4587577 | BioStudies | 2015-01-01

REPOSITORIES: biostudies

Similar Datasets

2018-01-01 | S-EPMC6213227 | BioStudies
2017-01-01 | S-EPMC5615368 | BioStudies
2021-01-01 | S-EPMC7928363 | BioStudies
2016-01-01 | S-EPMC4824067 | BioStudies
2013-01-01 | S-EPMC3808322 | BioStudies
2015-01-01 | S-EPMC4566981 | BioStudies
2020-01-01 | S-EPMC7432023 | BioStudies
2014-01-01 | S-EPMC3896445 | BioStudies
2019-01-01 | S-EPMC6491603 | BioStudies
2014-01-01 | S-EPMC4072752 | BioStudies