登录    注册    忘记密码

详细信息

Metabolite Profiling and Classification of Developing Styrax tonkinensis Kernels  ( SCI-EXPANDED收录)   被引量:12

文献类型:期刊文献

英文题名:Metabolite Profiling and Classification of Developing Styrax tonkinensis Kernels

作者:Wu, Qikui[1] Zhao, Xue[1,2] Chen, Chen[1] Zhang, Zihan[1,3,4] Yu, Fangyuan[1]

第一作者:Wu, Qikui

通信作者:Yu, FY[1]

机构:[1]Nanjing Forestry Univ, Coll Forest Sci, Collaborat Innovat Ctr Sustainable Forestry South, Nanjing 210037, Peoples R China;[2]Mingguang Forestry Stn, Mingguang 239400, Peoples R China;[3]Chinese Acad Forestry, Res Inst Forestry, State Forestry Adm, State Key Lab Tree Genet & Breeding, Beijing 100000, Peoples R China;[4]Chinese Acad Forestry, Res Inst Forestry, State Forestry Adm, Key Lab Tree Breeding & Cultivat, Beijing 100000, Peoples R China

年份:2020

卷号:10

期号:1

外文期刊名:METABOLITES

收录:;WOS:【SCI-EXPANDED(收录号:WOS:000513017200020)】;

基金:This research was funded by "A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)", the, National Natural Science Foundation of China (3197140894) and the Doctorate Fellowship Foundation of Nanjing Forestry University.

语种:英文

外文关键词:Styrax tonkinensis; kernel development; metabolome analysis; metabolite classification

摘要:Background: Styrax tonkinensis is an economic tree species with high timber, medicine, oil, and ornamental value. Its seed, containing a particularly high oil content, are widely studied for their biodiesel properties by nutritional components and oil body ultrastructure. However, their comprehensive biochemical compositions have not been studied. Methods: During S. tonkinensis kernel development, we collected samples from four time points for metabolite profiling and classification through gas chromatography-mass spectrometry and liquid chromatography-mass spectrometry. Results: A total of 187 and 1556 metabolites were obtained, respectively. All of the metabolites were grouped into 19 and 21 classes by their chemical properties and into 8 clusters based on their change trends, respectively. Among all the metabolites, carboxylic acids and derivatives, flavonoids, fatty acyls, glycerophospholipids, organooxygen compounds, prenol lipids, and steroids and steroid derivatives were the main components. Alanine, glutamine, tryptophan, tyrosine and valine were the five most abundant amino acids. Palmitic acid, stearic acid, oleic acid and linoleic acid were the four major free fatty acids. Flavans, flavonoid glycosides and o-methylated flavonoids were the three major flavonoids. The differential metabolites distributions between different time points were identified. A pathway enrichment was performed, which was mainly focused on three groups, amino acids metabolism, carbon flow from sucrose to lipid and secondary metabolites biosynthesis. Conclusions: It's the first time to analyze the metabolite fingerprinting for developing S. tonkinensis kernels and identify varied kinds of flavonoids. We performed metabolite profiling, classification and pathway enrichment to assess the comprehensive biochemical compositions. Our results described the change in major metabolites and main metabolic processes during S. tonkinensis kernel development and provided a variety of bases for seed applications as biofuel or medicine.

参考文献:

正在载入数据...

版权所有©中国林业科学研究院 重庆维普资讯有限公司 渝B2-20050021-8 
渝公网安备 50019002500408号 违法和不良信息举报中心