江苏农业学报2025，Vol.41Issue(6)：1063-1071,9.DOI:10.3969/j.issn.1000-4440.2025.06.003
低温胁迫下玉米根系转录组和代谢组分析
Transcriptome and metabolome analysis of maize roots under low temper-ature stress
摘要
Abstract
Cold stress is one of the primary abiotic stresses limiting the growth of maize seedlings.In order to study the effect of low temperature stress on maize roots,this study used maize inbred line B73 as the experimental material,and dynamically monitored the growth of the primary root at different time points under control(28℃day/22℃night)and low-temperature treatment(15℃day/10 ℃ night).Additionally,we determined the transcriptome and metabolome of the root tissues from both the control group and the 1-day low-temperature treatment group.Phenotypic characterization results indicated that the growth of the primary root was significantly inhibited under low-temperature stress.Metabolomic analysis identified 57 differentially accumulated metabolites,predominantly enriched in starch and sucrose metabolism pathways.A total of 2 769 differentially expressed genes were identified by transcriptome analysis,which were mainly involved in starch and sucrose metabolism and phenylalanine metabo-lism.Further integration of transcriptomic and metabolomic analyses revealed that starch and sucrose metabolism were key pathways mediating root adaptation to low-temperature stress.Under low-temperature stress,the content of soluble sugars such as fructose and glucose significantly increased.A total of 26 differentially expressed genes were identified in the starch and sucrose metabolic pathways,with 12 genes showing significant upregulation and 14 genes showing significant downregulation.This study provides a theoretical foundation and candidate genes for further investigation into the molecular mechanisms of maize root adaptation to low-temperature stress and for genetic improvement.关键词
玉米/低温胁迫/转录组学/代谢组学Key words
maize/low temperature stress/transcriptomics/metabolomics分类
农业科技引用本文复制引用
杨爱清,杨小艺,徐辰武,李鹏程,王芸芸,王后苗..低温胁迫下玉米根系转录组和代谢组分析[J].江苏农业学报,2025,41(6):1063-1071,9.基金项目
国家自然科学基金项目(32302654) （32302654）
江苏省重点研发项目(BE2022343) （BE2022343）
