Multi-omics analysis of the effects of hydroponic nutrient flow environment on lignin biosynthesis in lettuce root
文献类型: 外文期刊
第一作者: Baiyin, Bateer
作者: Baiyin, Bateer;Xiang, Yue;Yang, Qichang;Shao, Yang;Son, Jung Eek;Tagawa, Kotaro;Yamada, Satoshi;Yamada, Mina
作者机构:
关键词: Multi-omics analysis; Nutrient solution flow environment; Phenylpropanoid metabolism; Root cell wall; Lignin biosynthesis; Hydroponics; Growth enhancement
期刊名称:SCIENTIA HORTICULTURAE ( 影响因子:4.2; 五年影响因子:4.6 )
ISSN: 0304-4238
年卷期: 2024 年 338 卷
页码:
收录情况: SCI
摘要: The flow of nutrient solutions in hydroponics markedly affects plant growth and development. Suitable flow rates can improve root morphology, facilitating nutrient absorption. Altered cell wall composition upon sensing external stimuli can promote environmental adaptation. Lignin, an important plant cell wall component, enhances structural strength; however, the effects of nutrient solution flow on lignin synthesis remain unexplored. Here, we applied high-throughput metabolomic, transcriptomic, and proteomic techniques to systematically study hydroponically grown lettuce (Lactuca sativa), revealing significant regulatory effects of nutrient solution flow on lignin metabolism in lettuce roots. Gene and protein expression differed in lettuce roots under different flow rates, consistent with the underlying molecular mechanisms elucidated by metabolomic analyses. Specifically, under no-flow conditions, the contents of p-coumaryl alcohols (H-lignin) and coniferyl alcohols (G-lignin) were elevated, whereas high-flow conditions upregulated sinapyl alcohols synthesizing S-lignin. Moreover, lignin synthesis-related HCT, CAD, and PER gene families were highly expressed under no-flow and high-flow conditions, with coordinate changes in lignin content, indicating that nutrient flow influenced their expression; thereby affecting root cell lignin content. This study enhances our understanding of plant growth and secondary metabolic regulatory mechanisms in hydroponic environments and lays a theoretical foundation for optimizing plant growth conditions in hydroponic systems.
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