JOURNAL ARTICLE

Effect of Nutrient Solution Flow on Lettuce Root Morphology in Hydroponics: A Multi‐Omics Analysis of Hormone Synthesis and Signal Transduction.

  • Published In: Physiologia Plantarum, 2024, v. 176, n. 4. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Baiyin, Bateer; Xiang, Yue; Shao, Yang; Son, Jung Eek; Yamada, Satoshi; Tagawa, Kotaro; Yang, Qichang 3 of 3

Abstract

This study examined how the nutrient flow environment affects lettuce root morphology in hydroponics using multi‐omics analysis. The results indicate that increasing the nutrient flow rate initially increased indicators such as fresh root weight, root length, surface area, volume, and average diameter before declining, which mirrors the trend observed for shoot fresh weight. Furthermore, a high‐flow environment significantly increased root tissue density. Further analysis using Weighted Gene Co‐expression Network Analysis (WGCNA) and Weighted Protein Co‐expression Network Analysis (WPCNA) identified modules that were highly correlated with phenotypes and hormones. The analysis revealed a significant enrichment of hormone signal transduction pathways. Differences in the expression of genes and proteins related to hormone synthesis and transduction pathways were observed among the different flow conditions. These findings suggest that nutrient flow may regulate hormone levels and signal transmission by modulating the genes and proteins associated with hormone biosynthesis and signaling pathways, thereby influencing root morphology. These findings should support the development of effective methods for regulating the flow of nutrients in hydroponic contexts. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Physiologia Plantarum. 2024/07, Vol. 176, Issue 4, p1
  • Document Type:Article
  • Subject Area:Agriculture and Agribusiness
  • Publication Date:2024
  • ISSN:0031-9317
  • DOI:10.1111/ppl.14435
  • Accession Number:179297978
  • Copyright Statement:Copyright of Physiologia Plantarum is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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