今天是:
       
发表论文

Transcriptome profiling of cold resistant genes in Liriodendron chinense(Hemsl.) Sarg.

作   者:Bin Li, Chang Lu,Yongqi Zheng*(通讯作者)
期刊名称:Bangladesh J. Bot.
影响因子:0.214
卷 期 号:47(3)
页     码:737-749
关键词:Liriodendron chinense, Transcriptome, Digital gene expression profiling, Differentially expressed genes, Cold resistance, Low temperature stress, QRT-PCR
论文摘要:
Transcriptome sequencing technology was used to analyze differential transcript expressions of
Liriodendron chinense of two provenances in different temperature, and a lot of unigenes were obtained.
Digital gene expression profiling technology was used to select differentially expressed genes. A number of
differentially expressed genes were annotated on GO classification and pathway enrichment analysis
metabolic pathways. Some metabolic pathways are associated with cold resistance including plant hormone
signaling, unsaturated fatty acid biosynthesis, carbohydrate metabolism etc. A group of differentially
expressed unigenes related to plant cold resistance were found including calcium signaling pathway,
cold-response transcription factors, and genes maintaining membrane stability and adjusting osmotic balance.
Low temperature stress experiment was carried on L. chinense and digital gene expression profiling
technology was used to select differentially expressed cold resistant genes. Twenty six unigenes were obtained
including cold-response transcription factors HSP, NAC etc., and genes maintaining membrane stability and
adjusting osmotic balance, for example, β-amylase. Real time PCR technology was used to verify the
expression characters of differentially expressed genes. This research provides basis for study cold resistance
mechanism of Liriodendron at gene level, and also provides theoretical basis for molecular breeding.

上一条:Bin Li, Furong Lin, Chang Lu, Qifei Cai, Yongqi Zheng*(通讯作者), Ru Liu.. Propagatioan method for soft cuttings of Liriodendron. Bangladesh J. Bot.. 2018, 47(3): 769-778. 下一条:孙 圣,张劲松,孟 平,汪贵斌,黄 辉,尹昌君,王鑫梅. 基于热红外图像核桃园土壤水分预测模型的建立及应用. 农业工程学报. 2018, 34(16): 89-95.

关闭