摘要
生长调节因子(growth-regulating factor,GRF)已被证实在植物生长发育和响应非生物胁迫中具有重要的调控功能。本研究从黑麦全基因组中鉴定出14个黑麦GRF基因家族成员,并进行了理化参数、基因结构、进化以及表达等分析。结果表明黑麦GRF基因分布在第2、4、5和6条染色体上;氨基酸序列范围为214~609 aa,等电点范围为4.72~9.77;系统发育分析将黑麦、拟南芥、小麦、大麦和水稻的GRF基因分为6个亚家族;进化分析表明黑麦GRF基因种内有一对串联重复基因对,黑麦与小麦进化关系较水稻更近;磷酸化分析表明,黑麦GRF蛋白中存在大量潜在的磷酸化位点;表达分析表明,ScGRF10和ScGRF14可能在低温以及干旱胁迫的响应中发挥重要作用。该研究为进一步探索黑麦GRF基因在黑麦生长发育、低温和干旱响应中的潜在功能提供依据。
Growth-regulating factor(GRF)have been shown to have important regulatory functions in plant growth and development and in response to abiotic stresses.In this study,fourteen members of the rye GRF gene family were identified from the whole rye genome,and physicochemical parameters,gene structure,evolution and expression analysis were carried out.The results showed that the GRF genes were distributed on chromosomes 2,4,5 and 6.The amino acid sequence ranged from 214 to 609 aa and the range of isoelectric point was 4.72 to 9.77.Phylogenetic analysis divided the GRF genes of rye,Arabidopsis,wheat,barley and rice into six subfamilies.Evolutionary analysis showed that there was a pair of tandem repeats in rye GRF genes,the relationship between rye and wheat was closer than that between rye and rice.Phosphorylation analysis showed that there were a large number of potential phosphorylation sites in rye GRF proteins.Expression analysis showed that Sc GRF10 and Sc GRF14 might play important roles in response to low temperature and drought stress.This study provides a basis for further exploration of the potential functions of GRF genes in rye growth and development,low temperature and drought response.
作者
杨静
杨赟杰
汪凯旋
杨燕萍
魏莱
车永和
YANG Jing;YANG Yunjie;WANG Kaixuan;YANG Yanping;WEI Lai;CHE Yonghe(Hebei Key Laboratory of Crop Stress Biology,College of Agronomy and Biotechnology,Hebei Normal University of Science and Technology,Qinhuangdao,Hebei 066600,China)
出处
《植物生理学报》
CAS
CSCD
北大核心
2023年第10期1933-1942,共10页
Plant Physiology Journal
基金
中央引导地方科技发展资金项目(236Z6303G)
河北省科技厅重点研发项目(21326340D)
省属高校基本科研业务费(2022JK04)。
关键词
黑麦
GRF基因家族
进化分析
表达分析
rye
GRF gene family
evolutionary analysis
expression analysis