Nutrient composition and functional constituents of daylily from different producing areas based on widely targeted metabolomics

Haizhen Wang; Mengying Zhao; Zhen Zhen Wu; Nannan Qin; Yongxia Fu; Shang Guo

doi:10.1016/j.fochx.2024.101239

Nutrient composition and functional constituents of daylily from different producing areas based on widely targeted metabolomics

Food Chem X. 2024 Feb 19:21:101239. doi: 10.1016/j.fochx.2024.101239. eCollection 2024 Mar 30.

Authors

Haizhen Wang^{1

2}, Mengying Zhao^{1

2}, Zhen Zhen Wu², Nannan Qin³, Yongxia Fu², Shang Guo^{1

2

4}

Affiliations

¹ College of Horticulture, Shanxi Agricultural University, Taigu, China.
² Shanxi Institute for Functional Food, Shanxi Agricultural University, Taiyuan, China.
³ Department of Development Planning and Cooperation, Shanxi Agricultural University, Taiyuan, China.
⁴ College of Veterinary Medicine, Hunan Agricultural University, Changsha, China.

Abstract

Daylily is a functional food with high nutritional value in China. Datong (DT) in Shanxi Province is one of the four main production areas of daylily. Therefore, Linfen (LF), Lvliang (LL), and Yangquan (YQ) in Shanxi Province have also introduced daylily from DT. However, geographical and climatic conditions and producing patterns cause variations in the daylily quality. In the present study, we found that the nutrient composition of daylilies from different producing areas of Shanxi Province varied. The key environmental factors affecting the nutrition of daylily in different regions were altitude and temperature. The widely targeted metabolomics results showed that 1642 metabolites were found in daylily. The differential metabolites between DT and YQ, LL and LF were 557, 667, and 359, respectively. Notably, 9 metabolic pathways and 59 metabolite markers were associated with daylily from different areas. This study provides a theoretical basis for the quality maintenance and health efficacy research of daylily.

Keywords: Daylily; Metabolite; Nutritional quality; Producing areas; Widely targeted metabolomics.