Metabolite Profiling Approach Reveals the Interface of Primary and Secondary Metabolism in Colored Cauliflowers (Brassica oleracea L. ssp botrytis)

被引:53
作者
Park, Soo-Yun [1 ]
Lim, Sun-Hyung [1 ]
Ha, Sun-Hwa [3 ,4 ]
Yeo, Yunsoo [1 ]
Park, Woo Tae [2 ]
Kwon, Do Yeon [2 ]
Park, Sang Un [2 ]
Kim, Jae Kwang [1 ]
机构
[1] Natl Acad Agr Sci, Rural Dev Adm, Suwon 441707, South Korea
[2] Chungnam Natl Univ, Dept Crop Sci, Taejon 305764, South Korea
[3] Kyung Hee Univ, Dept Genet Engn, Yongin 446701, South Korea
[4] Kyung Hee Univ, Crop Biotech Inst, Yongin 446701, South Korea
关键词
carotenoids; cauliflower; metabolomics; partial least-squares discriminant analysis; phenolic acids; PARTIAL LEAST-SQUARES; QUALITY ASSESSMENT; PHENOLIC-ACIDS; ANTIOXIDANT; VEGETABLES;
D O I
10.1021/jf401330e
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
In the present study, carotenoids, anthocyanins, and phenolic acids of cauliflowers (Brassica oleracea L. ssp. botrytis) with various colored florets (white, yellow, green, and purple) were characterized to determine their phytochemical diversity. Additionally, 48 metabolites comprising amino acids, organic acids, sugars, and sugar alcohols were identified using gas chromatography-time-of-flight mass spectrometry (GC-TOFMS). Carotenoid content was considerably higher in green cauliflower; anthocyanins were detected only in purple cauliflower. Phenolic acids were higher in both green and purple cauliflower. Results of partial least-squares discriminant, Pearson correlation, and hierarchical clustering analyses showed that green cauliflower is distinct on the basis of the high levels of amino acids and clusters derived from common or closely related biochemical pathways. These results suggest that GC-TOFMS-based metabolite profiling, combined with chemometrics, is a useful tool for determining phenotypic variation and identifying metabolic networks connecting primary and secondary metabolism.
引用
收藏
页码:6999 / 7007
页数:9
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