叶片解剖结构、生理学和代谢组的综合分析揭示了丹顶鹤在幼苗期对干旱胁迫的反应。

IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Phytochemical Analysis Pub Date : 2024-07-01 Epub Date: 2024-03-29 DOI:10.1002/pca.3351
Yuheng Yao, Lili Nan, Kun Wang, Jing Xia, Biao Ma, Jiao Cheng
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引用次数: 0

摘要

简介:紫花苜蓿(Onobrychis viciaefolia)是一种重要的豆科牧草,干旱是阻碍紫花苜蓿生长的主要因素:用聚乙二醇-6000(PEG-6000)分析了抗旱品系 P1(DRL)和对干旱敏感的材料 2049(DSM)在干旱(-1.0 兆帕)条件下的叶片解剖结构、生理指标和代谢产物:方法:采用石蜡切片法研究叶片解剖结构。采用羟胺氧化法、硫酸钛比色法、硫代巴比妥酸法、酸性茚三酮比色法和库马西亮蓝法测定相关生理指标。代谢组学分析由液相色谱串联高分辨质谱(LC-MS/MS)组成:结果:结果表明,DRL 的表皮、栅栏组织和海绵组织的厚度明显大于 DSM。与DSM相比,DRL叶片的超氧阴离子(O2--)产生率、过氧化氢(H2O2)含量和丙二醛(MDA)含量较低,而脯氨酸(Pro)含量和可溶性蛋白(SP)含量则明显高于DSM。两个样本中共鉴定出 391 种不同的代谢物。京都基因组百科全书》(KEGG)富集显示,主要差异代谢物集中在酪氨酸代谢;异喹啉生物碱生物合成;泛醌和其他萜类醌生物合成;新霉素、卡那霉素和庆大霉素生物合成;花青素生物合成等代谢途径:结论:与DSM相比,DRL具有更完整的解剖结构、更低的活性氧含量和更高的抗氧化水平。结论:与 DSM 相比,DRL 的解剖结构更完整,活性氧含量更低,抗氧化水平更高,这些结果提高了我们对丹顶鹤抗旱机制的认识。
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Integrative leaf anatomy structure, physiology, and metabolome analyses revealed the response to drought stress in sainfoin at the seedling stage.

Introduction: Sainfoin (Onobrychis viciaefolia) is a vital legume forage, and drought is the primary element impeding sainfoin growth.

Objective: The anatomical structure, physiological indexes, and metabolites of the leaves of sainfoin seedlings with a drought-resistant line of P1 (DRL) and a drought-sensitive material of 2049 (DSM) were analyzed under drought (-1.0 MPa) with polyethylene glycol-6000 (PEG-6000).

Methods: The leaf anatomy was studied by the paraffin section method. The related physiological indexes were measured by the hydroxylamine oxidation method, titanium sulfate colorimetric method, thiobarbituric acid method, acidic ninhydrin colorimetric method, and Coomassie brilliant blue method. The metabolomics analysis was composed of liquid chromatography tandem high-resolution mass spectrometry (LC-MS/MS).

Results: The results revealed that the thickness of the epidermis, palisade tissue, and sponge tissue of DRL were significantly greater than those of DSM. The leaves of DRL exhibited lower levels of superoxide anion (O2 •-) production rate, hydrogen peroxide (H2O2) content, and malondialdehyde (MDA) content compared with DSM, while proline (Pro) content and soluble protein (SP) content were significantly higher than those of DSM. A total of 391 differential metabolites were identified in two samples. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment showed that the primary differential metabolites were concentrated into the tyrosine metabolism; isoquinoline alkaloid biosynthesis; ubiquinone and other terpenoid quinone biosynthesis; neomycin, kanamycin, and gentamicin biosynthesis; and anthocyanin biosynthesis metabolic pathways.

Conclusion: Compared with DSM, DRL had more complete anatomical structure, lower active oxygen content, and higher antioxidant level. The results improved our insights into the drought-resistant mechanisms in sainfoin.

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来源期刊
Phytochemical Analysis
Phytochemical Analysis 生物-分析化学
CiteScore
6.00
自引率
6.10%
发文量
88
审稿时长
1.7 months
期刊介绍: Phytochemical Analysis is devoted to the publication of original articles concerning the development, improvement, validation and/or extension of application of analytical methodology in the plant sciences. The spectrum of coverage is broad, encompassing methods and techniques relevant to the detection (including bio-screening), extraction, separation, purification, identification and quantification of compounds in plant biochemistry, plant cellular and molecular biology, plant biotechnology, the food sciences, agriculture and horticulture. The Journal publishes papers describing significant novelty in the analysis of whole plants (including algae), plant cells, tissues and organs, plant-derived extracts and plant products (including those which have been partially or completely refined for use in the food, agrochemical, pharmaceutical and related industries). All forms of physical, chemical, biochemical, spectroscopic, radiometric, electrometric, chromatographic, metabolomic and chemometric investigations of plant products (monomeric species as well as polymeric molecules such as nucleic acids, proteins, lipids and carbohydrates) are included within the remit of the Journal. Papers dealing with novel methods relating to areas such as data handling/ data mining in plant sciences will also be welcomed.
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