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作 者:高鑫[1] 高佳荷 侯瑞虹 唐芳[1] 米福贵[1] GAO Xin;GAO Jiahe;HOU Ruihong;TANG Fang;MI Fugui(College of Grassland Science,Inner Mongolia Agricultural University/North Drought Resistant and Cold Resistant Grass Variety Breeding Engineering Technology Research Center of National Forestry and Grassland Administration/Key Laboratory of Grassland Resources,Ministry of Education/Key Laboratory of Forage Cultivation,Processing and High Efficient Utilization of Ministry of Agriculture and Rural Affairs/Inner Mongolia Key Laboratory of Grassland Management and Utilization,Hohhot 010011,China)
机构地区:[1]内蒙古农业大学草业学院/国家林业草原北方抗旱耐寒草品种育繁工程技术研究中心/草地资源教育部重点实验室/农业农村部饲草栽培、加工与高效利用重点实验室/内蒙古自治区草地管理与利用重点实验室,内蒙古呼和浩特010011
出 处:《中国草地学报》2024年第12期1-11,共11页Chinese Journal of Grassland
基 金:内蒙古自治区科技重大专项(2021ZD0031);内蒙古自治区种业科技创新重大示范工程“揭榜挂帅”项目(2022JBGS0040);内蒙古自然科学基金项目(2023MS03043)。
摘 要:为鉴定紫花苜蓿响应盐胁迫的转录因子,本研究以紫花苜蓿耐盐品种中苜1号和敏盐品种WL323为研究对象,采用200 mmol/L NaCl胁迫,分析胁迫后0、6、12、24 h紫花苜蓿根部组织转录组数据。结果表明,两个品种间响应盐胁迫差异表达的转录因子共758个,GO分析发现差异转录因子主要富集在代谢过程、结合、细胞过程,KEGG显著性富集分析发现差异转录因子富集在植物激素信号转导通路。对比植物激素信号转导通路中差异转录因子的相对表达量和表达模式,挖掘出10个调控紫花苜蓿耐盐性的关键候选转录因子。qRT-PCR分析表明,随机挑选的6个转录因子与转录组测序结果基本一致。In order to identify the transcription factors(TFs)of alfalfa in response to salt stress,salt-tolerant cultivar‘Zhongmu No.1’and salt-sensitive cultivar‘WL323’,were subjected to 200 mmol/L NaCl and the transcriptome data of alfalfa root tissues were analyzed for 0 h,6 h,12 h,and 24 h after stress.The results showed that a total of 758 TFs were differentially expressed in response to salt stress between the two cultivars.GO analysis revealed that differentially expressed TFs(DETFs)were mainly enriched in metabolic processes,binding,and cellular processes.Furthermore,while KEGG significant enrichment analysis showed that these DETFs were enriched in plant hormone signal transduction path‐ways.Ten key candidate TFs regulating salt tolerance in alfalfa were identified through comparing the rela‐tive expression levels and expression patterns of DETFs in the plant hormone signal transduction path‐ways.qRT-PCR analysis showed that the six randomly selected TFs were basically consistent with the results of transcriptome sequencing.
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