Metabolite Profiling of Hydroponic Lettuce Roots Affected by Nutrient Solution Flow: Insights from Comprehensive Analysis Using Widely Targeted Metabolomics and MALDI Mass Spectrometry Imaging Approaches.


Journal

International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791

Informations de publication

Date de publication:
21 Sep 2024
Historique:
received: 12 08 2024
revised: 10 09 2024
accepted: 19 09 2024
medline: 29 9 2024
pubmed: 28 9 2024
entrez: 28 9 2024
Statut: epublish

Résumé

Root morphology, an important determinant of nutrient absorption and plant growth, can adapt to various growth environments to promote survival. Solution flow under hydroponic conditions provides a mechanical stimulus, triggering adaptive biological responses, including altered root morphology and enhanced root growth and surface area to facilitate nutrient absorption. To clarify these mechanisms, we applied untargeted metabolomics technology, detecting 1737 substances in lettuce root samples under different flow rates, including 17 common differential metabolites. The abscisic acid metabolic pathway product dihydrophaseic acid and the amino and nucleotide sugar metabolism factor N-acetyl-d-mannosamine suggest that nutrient solution flow rate affects root organic acid and sugar metabolism to regulate root growth. Spatial metabolomics analysis of the most stressed root bases revealed significantly enriched Kyoto Encyclopedia of Genes and Genomes pathways: "biosynthesis of cofactors" and "amino sugar and nucleotide sugar metabolism". Colocalization analysis of pathway metabolites revealed a flow-dependent spatial distribution, with higher flavin mononucleotide, adenosine-5'-diphosphate, hydrogenobyrinic acid, and D-glucosamine 6-phosphate under flow conditions, the latter two showing downstream-side enrichment. In contrast, phosphoenolpyruvate, 1-phospho-alpha-D-galacturonic acid, 3-hydroxyanthranilic acid, and N-acetyl-D-galactosamine were more abundant under no-flow conditions, with the latter two concentrated on the upstream side. As metabolite distribution is associated with function, observing their spatial distribution in the basal roots will provide a more comprehensive understanding of how metabolites influence plant morphology and response to environmental changes than what is currently available in the literature.

Identifiants

pubmed: 39337645
pii: ijms251810155
doi: 10.3390/ijms251810155
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Agricultural Science and Technology Innovation Program
ID : (ASTIP-CAAS)
Organisme : Central Public-interest Scientific Institution Basal Research Fund
ID : (No. S2024001)
Organisme : National Key Research and Development Program of China
ID : (2023YFF1001500)

Auteurs

Bateer Baiyin (B)

Research Center for Smart Horticulture Engineering, Institute of Urban Agriculture, Chinese Academy of Agricultural Sciences, Chengdu National Agricultural Science & Technology Center, Chengdu 610213, China.

Yue Xiang (Y)

Research Center for Smart Horticulture Engineering, Institute of Urban Agriculture, Chinese Academy of Agricultural Sciences, Chengdu National Agricultural Science & Technology Center, Chengdu 610213, China.

Yang Shao (Y)

National Key Laboratory of Crop Genetic Improvement, College of Plant Science & Technology, Huazhong Agricultural University, Wuhan 430070, China.

Jung Eek Son (JE)

Department of Agriculture, Forestry and Bioresources, Seoul National University, Seoul 08826, Republic of Korea.

Kotaro Tagawa (K)

Faculty of Agriculture, Tottori University, Tottori 680-8553, Japan.

Satoshi Yamada (S)

Faculty of Agriculture, Tottori University, Tottori 680-8553, Japan.

Mina Yamada (M)

Faculty of Agriculture, Tottori University, Tottori 680-8553, Japan.

Qichang Yang (Q)

Research Center for Smart Horticulture Engineering, Institute of Urban Agriculture, Chinese Academy of Agricultural Sciences, Chengdu National Agricultural Science & Technology Center, Chengdu 610213, China.

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Classifications MeSH