详细信息
Characterization of Glycolytic Pathway Genes Using RNA-Seq in Developing Kernels of Eucommia ulmoides ( SCI-EXPANDED收录) 被引量:18
文献类型:期刊文献
英文题名:Characterization of Glycolytic Pathway Genes Using RNA-Seq in Developing Kernels of Eucommia ulmoides
作者:Feng, Yanzhi[1,2] Zhang, Lin[2] Fu, Jianmin[1] Li, Fangdong[1] Wang, Lu[1] Tan, Xiaofeng[2] Mo, Wenjuan[3] Cao, Heping[4]
第一作者:Feng, Yanzhi
通信作者:Zhang, L[1];Cao, HP[2]
机构:[1]State Forestry Adm, Paulownia Res & Dev Ctr, Zhengzhou 450003, Henan, Peoples R China;[2]Cent South Univ Forestry & Technol, Key Lab Cultivat & Protect Nonwood Forest Trees, Minist Educ, Changsha 410004, Hunan, Peoples R China;[3]Chinese Acad Forestry, Forestry Expt Ctr North China, Beijing 102300, Peoples R China;[4]USDA ARS, So Reg Res Ctr, POB 19687, New Orleans, LA 70124 USA
年份:2016
卷号:64
期号:18
起止页码:3712-3731
外文期刊名:JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
收录:;WOS:【SCI-EXPANDED(收录号:WOS:000375969100028)】;
基金:This work was supported by the National Natural Science Foundation of China (31370682) and USDA-ARS Quality and Utilization of Agricultural Products Research Program 306 through CRIS 6435-41000-102-00D. Mention of trade names or commercial products in this publication is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the U.S. Department of Agriculture. The RAW data are accessible at NCBI under bioproject (PRJNA314294), biosample for Huazhong No_6 (SAMN04531657): S1 (SRR3203265) and S2 (SRR3203241); biosample for Huazhong No_10 (SAMN04531658): S3 (SRR3203266) and S4 (SRR3203268).
语种:英文
外文关键词:Eucommia ulmoides; glycolytic pathway; a-linolenic acid; quantitative real-time PCR (qPCR); RNA-seq; transcriptome; unigene
摘要:Eucommia ulmoides Oliver, the only member of the Eucommiaceae family, is a rare and valuable tree used to produce a highly valued traditional Chinese medicine and contains a-linolenic acid (ALA) up to 60% of the total fatty acids in the kernels (embryos). Glycolysis provides both cellular energy and the intermediates for other biosynthetic processes. However, nothing was known about the molecular basis of the glycolytic pathway in E. ulmoides kernels. The purposes of this study were to identify novel genes of E. ulmoides related to glycolytic metabolism and to analyze the expression patterns of selected genes in the kernels. Transcriptome sequencing based on the Illumina platform generated 96,469 unigenes in four cDNA libraries constructed using RNAs from 70 and 160 days after flowering kernels of both low- and high-ALA varieties. We identified and characterized the digital expression of 120 unigenes coding for 24 protein families involved in kernel glycolytic pathway. The expression levels of glycolytic genes were generally higher in younger kernels than in more mature kernels. Importantly, several unigenes from kernels of the high-ALA variety were expressed more than those from the low-ALA variety. The expression of 10 unigenes encoding key enzymes in the glycolytic pathway was validated by qPCR using RNAs from six kernel stages of each variety. The qPCR data were well consistent with their digital expression in transcriptomic analyses. This study identified a comprehensive set of genes for glycolytic metabolism and suggests that several glycolytic genes may play key roles in ALA accumulation in the kernels of E. ulmoides.
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