Journal of Applied Research on Medicinal and Aromatic Plants最新文献_第7页

Accurate and intelligent quantification of adulterated Angelicae Sinensis Radix by a novel ensemble method with near-infrared spectroscopy 新型近红外光谱系综法准确智能定量掺假当归

IF 3.8 2区农林科学 Q1 PLANT SCIENCES

Journal of Applied Research on Medicinal and Aromatic Plants

Pub Date : 2025-04-01 DOI: 10.1016/j.jarmap.2025.100640

Xihui Bian , Yuxia Liu , Jiaqi Xie , Chunyan Zhao , Xiaoyao Tan , Weilu Tian

The integrity and authenticity of Chinese medicinal materials are essential for ensuring the efficacy of medicines and safety of patients. Angelicae Sinensis Radix (ASR), a highly valued traditional Chinese medicine (TCM), is often substituted or mixed with lower-cost alternatives. In this study, a novel method was proposed for the quantification of adulterated ASR using near-infrared (NIR) spectroscopy combined with chemometrics. Binary and ternary adulterated ASR samples were prepared by mixing ASR with Angelicae Pubescentis Radix (APR) and Chuanxiong Rhizoma (CR), and their NIR spectra were measured in the range of 1000–1800 nm. Sample subsets were initially selected using Monte Carlo (MC) sampling, followed by the application of whale optimization algorithm (WOA) to select variables and establish an extreme learning machine (ELM) model, referred to as MC-WOA-ELM. The iteration number and percentage of training subsets for MC-WOA-ELM were optimized to further improve the predictive performance of model. The predictive ability of the proposed method was compared with partial least squares (PLS), ELM and WOA-ELM for both binary and ternary adulterated ASR samples. The results indicate that MC-WOA-ELM achieves the highest prediction accuracy. Therefore, the proposed method is rapid and intelligent for the quantification of adulterated ASR samples.

中药材的完整性和真实性对保证药品的疗效和患者的安全至关重要。当归（Angelicae Sinensis Radix， ASR）是一种价值很高的中药，经常被替代或与较低成本的替代品混合使用。本研究提出了一种利用近红外光谱与化学计量学相结合的方法来定量掺假ASR。将ASR与短毛当归（APR）和川芎（CR）混合制备二元和三元掺假ASR样品，并在1000 ~ 1800 nm范围内测定其近红外光谱。首先采用蒙特卡罗（Monte Carlo， MC）采样方法选择样本子集，然后应用鲸鱼优化算法（whale optimization algorithm， WOA）选择变量，建立极限学习机（extreme learning machine， ELM）模型，简称MC-WOA-ELM。对MC-WOA-ELM的训练子集迭代次数和百分比进行优化，进一步提高模型的预测性能。将该方法与偏最小二乘（PLS）、ELM和WOA-ELM对二元和三元掺假ASR样品的预测能力进行了比较。结果表明，MC-WOA-ELM预测精度最高。因此，该方法具有快速、智能化的特点，可用于ASR掺杂样品的定量分析。

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引用次数: 0

Heavy metal pollution in Iranian medicinal plants, a review of sources, distribution, and health implications 伊朗药用植物中的重金属污染：来源、分布和健康影响的综述

IF 3.8 2区农林科学 Q1 PLANT SCIENCES

Journal of Applied Research on Medicinal and Aromatic Plants

Pub Date : 2025-04-01 DOI: 10.1016/j.jarmap.2025.100637

Farzaneh Mirzabayati, Amir Hossein Hamidian

Environmental pollution, particularly with heavy metals, is a critical issue in assessing the quality of medicinal plants. The concentration of heavy metals in these plants depends on factors such as growth environment, species, and processing methods. Contaminants absorbed by plants can enter the human body through consumption. This review examines the impact of heavy metals—cadmium (Cd), lead (Pb), arsenic (As), copper (Cu), chromium (Cr), zinc (Zn), and nickel (Ni)—on medicinal plants in Iran. It explores how environmental contamination affects plant quality and analyzes trends in measurement techniques and metal concentrations over time. Results show that Cd has the most significant negative impact on plant growth (63 %), followed by Pb (21 %), Cr (11 %), and Zn (5 %). Cd exceeded WHO limits in 47 % of samples, while Pb and Zn exceeded limits in 26 % and 20 %, respectively. Cd and Pb also significantly reduced germination rates. Contamination with Cd and Pb poses serious health risks, including kidney damage, bone disorders, cancer, neurological issues, and reproductive harm. Strict quality control, sustainable farming, and public awareness are essential to mitigate these risks. This study highlights the need for further research, particularly in industrial regions like Tehran, Khuzestan, Isfahan, and Fars, to ensure the safety of medicinal plants.

环境污染，特别是重金属污染，是评估药用植物质量的一个关键问题。这些植物体内重金属的浓度与生长环境、种类、加工方法等因素有关。被植物吸收的污染物可以通过食用进入人体。本文综述了重金属镉（Cd）、铅（Pb）、砷（As）、铜（Cu）、铬（Cr）、锌（Zn）和镍（Ni）对伊朗药用植物的影响。它探讨了环境污染如何影响植物质量，并分析了测量技术和金属浓度随时间的变化趋势。结果表明，镉对植物生长的影响最显著（63 %），其次是Pb（21 %）、Cr（11 %）和Zn（5 %）。样品中镉超标的比例为47. %，铅和锌超标的比例分别为26. %和20. %。Cd和Pb也显著降低了发芽率。镉和铅污染会带来严重的健康风险，包括肾损伤、骨骼疾病、癌症、神经问题和生殖危害。严格的质量控制、可持续农业和公众意识对于减轻这些风险至关重要。这项研究强调需要进一步研究，特别是在德黑兰、胡泽斯坦、伊斯法罕和法尔斯等工业区，以确保药用植物的安全。

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引用次数: 0

Comparative analysis of three extraction methods for ginger leaf polysaccharide: Chemical composition, antioxidant activity, and hypolipidemic effects 姜叶多糖三种提取方法的化学成分、抗氧化活性和降血脂作用的比较分析

IF 3.8 2区农林科学 Q1 PLANT SCIENCES

Journal of Applied Research on Medicinal and Aromatic Plants

Pub Date : 2025-04-01 DOI: 10.1016/j.jarmap.2025.100639

Zhong-hao Zhang , Zhong-hua Zhao , Tian-yi Cao , Cai-rong Yang , Zi-zhong Tang , Shi-ling Feng , Shu Yuan , Sheng-lin Hu , Ming Yuan

Ginger leaves are often discarded in agriculture, exacerbating continuous cropping obstacles. Polysaccharide, due to their low toxicity and diverse bioactivities, have garnered considerable interest. To isolate ginger leaf polysaccharide (GLP), we compared three extraction methods: hot water extraction, ultrasonic-assisted hot water extraction, and ultrasonic-assisted aqueous two-phase system extraction. Response surface methodology optimization revealed ultrasonic-assisted hot water extraction as the most efficient method, achieving a yield of 9.31 % under a liquid-solid ratio of 30 mL/g and an ultrasonic power of 150 W at 65 ℃ for 22 min. Polysaccharide from different extraction methods showed difference in monosaccharide composition and molecular weight. The ginger leaf polysaccharide demonstrated strong antioxidant in vitro and hypolipidemic activities in Caenorhabditis elegans, and that from the ultrasonic-assisted hot water method showed the highest bioactivity. These findings highlight ultrasonic-assisted hot water extraction as the optimal method for efficient extraction of GLP and discover GLP’s potential for pharmaceutical and functional food applications.

姜叶在农业中经常被丢弃，加剧了连作障碍。多糖由于其低毒性和多样化的生物活性而引起了人们的广泛关注。为了分离生姜叶多糖（GLP），比较了热水提取、超声辅助热水提取和超声辅助双水相萃取三种提取方法。响应面优化结果表明，在液固比为30 mL/g、超声功率为150 W、温度为65℃、萃取时间为22 min的条件下，超声辅助热水萃取法的提取率为9.31 %。不同提取方法提取的多糖单糖组成和分子量存在差异。生姜叶多糖对秀丽隐杆线虫具有较强的体外抗氧化和降血脂活性，其中超声辅助热水法提取的活性最高。这些发现强调了超声辅助热水提取法是高效提取GLP的最佳方法，并发现了GLP在制药和功能食品中的应用潜力。

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引用次数: 0

Does the exogenous application of brassinosteroids affect the photosynthetic, morphological characteristics, and THC concentrations of Cannabis sativa L. under drought stress? 外源油菜素内酯是否影响干旱胁迫下大麻的光合作用、形态特征和四氢大麻酚浓度？

IF 3.8 2区农林科学 Q1 PLANT SCIENCES

Journal of Applied Research on Medicinal and Aromatic Plants

Pub Date : 2025-04-01 DOI: 10.1016/j.jarmap.2025.100635

Shiva Barooti , Mohsen Edalat , Mostafa Oveisi , Seyed Abdolreza Kazemeini , Ruhollah Naderi

Drought stress represents a significant constraint on the productivity of crops globally. The application of plant growth regulators, particularly brassinosteroids (BRs), has demonstrated potential in enhancing plant tolerance to drought conditions. This study aimed to examine the effects of exogenous BR application on the photosynthetic and morphological characteristics, as well as the concentrations of Delta-9-Tetrahydrocannabinol (THC), in Cannabis sativa subjected to drought stress. A split-plot experimental design was implemented over two growing seasons, with the primary factor being the planting date (May 20, June 5, June 20) and the secondary factor being the irrigation level (80–100 %, 50–60 %, and 30–40 % of field capacity). Exogenous BR treatments (0, 200, and 400 μg/L) were applied as the tertiary factor. The results indicated that drought stress significantly diminished photosynthetic efficiency, plant growth, and THC concentrations in C. sativa. Conversely, the exogenous application of BRs alleviated the adverse effects of drought, leading to enhanced photosynthetic performance, improved morphological traits, and increased THC levels compared to drought-stressed plants that did not receive BR treatment. These findings suggest that the exogenous application of BRs may serve as a promising strategy to improve drought tolerance and the medicinal properties of C. sativa. The study offers valuable insights into the role of plant growth regulators in modulating the physiological and biochemical responses of this important medicinal plant under conditions of water limitation.

干旱胁迫是全球农作物生产力的一个重大制约因素。植物生长调节剂，特别是油菜素内酯（BRs）的应用，在提高植物对干旱条件的耐受性方面具有潜力。本研究旨在研究外源BR对干旱胁迫下大麻光合特性、形态特征以及δ -9-四氢大麻酚（THC）浓度的影响。采用两个生长季节的分块试验设计，主要因子为种植日期（5月20日、6月5日、6月20日），次要因子为灌溉水平（田间容量的80-100 %、50-60 %和30-40 %）。外源BR处理（0、200和400 μg/L）作为第三因子。结果表明，干旱胁迫显著降低了苜蓿的光合效率、植株生长和THC浓度。相反，与未施用BR的干旱胁迫植物相比，外源施用BR缓解了干旱的不利影响，导致光合性能增强，形态性状改善，THC水平升高。这些结果表明，外源施用BRs可能是提高苜蓿耐旱性和药用特性的一种有希望的策略。该研究为植物生长调节剂在限制水分条件下调节这种重要药用植物的生理生化反应提供了有价值的见解。

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引用次数: 0

Morpho-molecular identification of Barioscapus cordiae (Marshall) (Coleoptera: Curculionidae): A serious pest of Cordia myxa L. 一种严重的粘蝇害虫——斑蝽的形态-分子鉴定（鞘翅目：斑蝽科）。

IF 3.8 2区农林科学 Q1 PLANT SCIENCES

Journal of Applied Research on Medicinal and Aromatic Plants

Pub Date : 2025-04-01 DOI: 10.1016/j.jarmap.2025.100638

G. Mahendiran , Y.N. Venkatesh , Anna Jose , B. Manu , M. Ashajyothi , K. Sreedevi , S.N. Sushil

The lasoda weevil, Barioscapus cordiae (Marshall) is redescribed with digital images of habitus, morphometric details and images of diagnostic characters. The monotypic weevil genus Barioscapus Pajni and Kohli is easily recognised from other genera in the tribe by the presence of very closely related proxcoxae, antennae inserted at two-third length of rostrum from base, scape remote from eyes, prosternum without a depression before coxae, and exposed pygidium. The first DNA barcode was obtained and reported for molecular identification using cytochrome oxidase I (COI). The estimated total percentage of damage to fruits and seeds caused by B. cordiae to Cordia myxa was 82.07–88.08 %.

利用生境、形态细节和诊断特征的数字图像对象鼻虫进行了重新描述。单型象鼻虫属bararioscapus Pajni和Kohli很容易从部落的其他属中识别出来，因为它们有非常密切相关的喙，触角从基部插入喙的三分之二长度，鳞片远离眼睛，在喙前没有凹陷的前胸，以及暴露的喙。利用细胞色素氧化酶I （COI）进行分子鉴定，获得了第一个DNA条形码。据估计，蓝杆菌对粘蝇果实和种子的总危害率为82.07 ~ 88.08 %。

引用次数: 0

Rapid identification of Fritillaria spp. using multi-wavebands spectroscopy and multi-source data fusion strategies 利用多波段光谱和多源数据融合技术快速鉴定贝母

IF 3.8 2区农林科学 Q1 PLANT SCIENCES

Journal of Applied Research on Medicinal and Aromatic Plants

Pub Date : 2025-04-01 DOI: 10.1016/j.jarmap.2025.100636

Yuchen Tang , Wennan Nie , Yao Zhang , Cunhao Li , Zhu Wei , Haiyang Chen , Yunfei Hu , Wenlong Li

Fritillaria spp., a kind of typical medicine food homology plant, is in growing demand for rapid identification due to its diverse types. This study aims to utilize the mid-infrared (MIR) and ultraviolet-visible-near infrared (UV–VIS–NIR) spectroscopy for the first time to identify Fritillaria spp. Two machine learning techniques of random forest (RF) and support vector machine (SVM) are employed to establish classification models based on spectral data from various Fritillaria spp. Data fusion strategies including low-level, mid-level and high-level fusions are applied to combinate MIR and UV–VIS–NIR data. The result indicates that data fusion improved the classification of Fritillaria spp. compared to using individual spectral data. The RF classifier showed superior performance over the SVM model. The high-level data fusion model achieved the highest prediction accuracy of 93.31 %. This study demonstrates that integrating MIR and UV–VIS–NIR spectroscopy with data fusion techniques offers a feasible, non-destructive, and rapid approach for classifying Fritillaria spp., highlighting the potential for the identifying related medicinal food homology products.

贝母是一种典型的药食同源植物，其种类繁多，对快速鉴定的需求日益增长。本研究首次利用中红外光谱（MIR）和紫外-可见-近红外光谱（UV-VIS-NIR）对贝母进行分类，采用随机森林（RF）和支持向量机（SVM）两种机器学习技术建立贝母光谱数据分类模型，采用低水平、中水平和高水平融合策略对MIR和紫外-可见-近红外数据进行融合。结果表明，与使用单个光谱数据相比，数据融合提高了贝母的分类精度。RF分类器表现出优于SVM模型的性能。高阶数据融合模型预测精度最高，达到93.31 %。该研究表明，将MIR和UV-VIS-NIR光谱技术与数据融合技术相结合，为贝母分类提供了一种可行的、无损的、快速的方法，突出了鉴定相关药用食品同源产品的潜力。

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引用次数: 0

Application of gas chromatography-ion mobility spectrometry in traditional Chinese medicines: A review 气相色谱离子迁移谱法在中药研究中的应用综述

IF 3.8 2区农林科学 Q1 PLANT SCIENCES

Journal of Applied Research on Medicinal and Aromatic Plants

Pub Date : 2025-03-04 DOI: 10.1016/j.jarmap.2025.100632

Li Gao , Ruiwen Yang , Liqin Li , Bing Han , Guoyin Kai

Gas chromatography-ion mobility spectrometry (GC-IMS) has emerged as a powerful analytical technique, renowned for its rapid analysis and operational simplicity, particularly in the detection of trace compounds. While its applications span various scientific domains, its potential in the field of traditional Chinese medicine (TCM) remains relatively underexplored. This review systematically examines the current applications and methodological parameters of GC-IMS in TCM research, with particular emphasis on its transformative potential in quality assessment and authentication processes. The versatility of GC-IMS has been demonstrated across multiple facets of TCM analysis, including (1) differentiation of various Pao Zhi processing techniques and their impact on TCM quality, (2) authentication of TCM specimens through parameters such as storage duration and geographical origin, (3) establishment of robust quality evaluation criteria for TCM formulations, (4) detection and profiling of volatile organic compounds (VOCs) across different growth stages, (5) taxonomic classification of TCM species, and (6) comprehensive characterization of TCM constituents. The integration of GC-IMS in TCM research offers substantial promise for advancing quality control. Its rapid analytical capabilities, coupled with high sensitivity, position it as an indispensable tool for TCM authentication and quality evaluation, with potential applications throughout various stages of TCM production and distribution.

气相色谱-离子迁移谱法（GC-IMS）已成为一种强大的分析技术，以其快速分析和操作简单而闻名，特别是在痕量化合物的检测方面。虽然它的应用跨越了各个科学领域，但它在中医领域的潜力仍然相对未被充分发掘。本文系统地考察了GC-IMS在中药研究中的应用现状和方法参数，特别强调了其在质量评估和认证过程中的变革潜力。GC-IMS的多功能性已经在中药分析的多个方面得到了证明，包括(1)不同包治工艺的区分及其对中药质量的影响，(2)通过保存时间和地理来源等参数对中药样品进行认证，(3)建立可靠的中药配方质量评价标准，(4)不同生长阶段挥发性有机化合物（VOCs）的检测和分析。(5)中药种类的分类；(6)中药成分的综合表征。GC-IMS在中药研究中的整合为推进质量控制提供了巨大的希望。它的快速分析能力，加上高灵敏度，使其成为中药认证和质量评估不可或缺的工具，在中药生产和销售的各个阶段具有潜在的应用前景。

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引用次数: 0

An integrative analysis of population genetics and species distribution modeling of Gymnema sylvestre in India 印度匙羹藤种群遗传学综合分析及物种分布模型

IF 3.8 2区农林科学 Q1 PLANT SCIENCES

Journal of Applied Research on Medicinal and Aromatic Plants

Pub Date : 2025-02-28 DOI: 10.1016/j.jarmap.2025.100631

Kanchana Vaishnav , Aakash Maurya , Anjala Durgapal , T.S. Rana

Gymnema sylvestre (Retz.) R. Br. ex Schult., is a potent anti-diabetic, tropical plant species from Africa to Australia. It has been used since centuries both in indigenous and modern medicine systems to treat diabetes, snake bite, malaria, jaundice, asthma, bronchitis, cardiopathy, leukoderma, eye problems, obesity, etc. In India, the species is significantly threatened by unsustainable harvesting practices for pharmaceutical industries and habitat destruction. Moreover, the continuing climate change may affect its distributional range. Hence, the objective of this study was to evaluate the genetic health (genetic diversity and population genetic structure) and potential geographical range of G. sylvestre under both current (1970–2000) and projected future climatic conditions (2050 and 2070 under Representative Concentration Pathway 4.5 and RCP8.5) to develop effective conservation, management, and sustainable utilization approaches. A moderate level of genetic diversity was found {Observed Heterozygosity (H_o = 0.391), Nei’s Expected Heterozygosity (H_e = 0.382), and Shannon’s information index (I = 0.656)}, with majority of the genetic variation accumulated within populations (74 %), and very high Nei’s genetic differentiation among populations (F_ST = 0.281) was noticed as the Gene flow among populations (N_m = 0.637) was medium. Various genetic clustering methods yielded two distinct (K = 2) genetic clusters in 118 G. sylvestre individuals proportionate to the geographical isolation. Compared to the present, all the future projections came pessimistically with a reduction in the high and moderate suitable areas. However, 2070 would favor the species in adaptation to the changed climate with increased suitable area compared to the year 2050.

西尔维斯特（西班牙语）r . Br。Schult交货。是一种有效的抗糖尿病植物，产于非洲到澳大利亚的热带植物。几个世纪以来，它一直被用于土著和现代医学系统中，用于治疗糖尿病、蛇咬伤、疟疾、黄疸、哮喘、支气管炎、心脏病、白癜风、眼疾、肥胖等。在印度，该物种受到不可持续的制药业采伐和栖息地破坏的严重威胁。此外，持续的气候变化可能会影响其分布范围。因此，本研究的目的是在当前（1970-2000年）和预测的未来气候条件（2050年和2070年，代表性浓度路径4.5和RCP8.5）下，评估西尔华的遗传健康（遗传多样性和种群遗传结构）和潜在地理范围，以制定有效的保护、管理和可持续利用方法。遗传多样性{Observed杂合度（Ho = 0.391）、Nei’s Expected杂合度（He = 0.382）和Shannon’s information index (I = 0.656)}为中等水平，大部分遗传变异在群体内积累（74 %），群体间基因流（Nm = 0.637）中等，群体间Nei’s遗传分化非常高（FST = 0.281）。各种遗传聚类方法在118 G中产生了两个不同的（K = 2）遗传聚类。与地理隔离程度相称的个体数量。与目前相比，所有的未来预测都是悲观的，高适宜区和中等适宜区都有所减少。然而，与2050年相比，2070年适宜面积增加，有利于物种适应气候变化。

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引用次数: 0

BpGDB: A genomic resource database of Bunium persicum for genetics and breeding BpGDB：用于遗传育种的仙桃基因组资源数据库

IF 3.8 2区农林科学 Q1 PLANT SCIENCES

Journal of Applied Research on Medicinal and Aromatic Plants

Pub Date : 2025-02-17 DOI: 10.1016/j.jarmap.2025.100630

Akshay Singh , Nancy Sharma , Sangita Bansal , Rakesh Singh , G.P. Singh

Bunium persicum or black cumin, holds significant medicinal and culinary importance within the Apiaceae family. Its seeds are prized in Persian and Indian cuisines for flavour-enhancing and preservative properties. Traditional medicine employs it for treating digestive disorders, urinary ailments, diabetes, obesity, and lactation enhancement. Despite its economic value, genomic resources for this plant species are scarce. To address this gap and foster genetic research, we introduce "BpGDB," the first comprehensive genomic resources database for B. persicum. BpGDB features 5939 EST-SSR markers derived from 88,309 non-redundant transcripts assembled de novo. Additionally, it incorporates 37,232 genomic SSR markers obtained from recent de novo genome sequencing efforts of our laboratory. It also includes B. persicum transcripts annotated using NCBI-NR and gene ontology (GO) databases, encompassing key gene families such as cytochrome P450, protein kinases, heat shock proteins (HSPs) etc. and biosynthetic enzymes for bioactive compounds of medicinal value. Moreover, BpGDB catalogues 4617 transcription factors (TFs) categorized into 57 families, along with their coding sequence (CDS), translated protein information. This database is user friendly and interactive with advanced search functionalities and multiple search options including SSR search, TF search, GO search etc. Users can directly access the desired information/data by either clicking on the interactive pie charts or through the menu given at the left side bar available on the homepage of database. It is aimed to facilitate researchers globally in understanding genetic traits related to therapeutic and culinary properties, while enhancing breeding strategies to improve crop productivity that may include marker-assisted selection, linkage mapping, genetic diversity studies, and population analyses in the species. Furthermore, it will open avenues for comparative genomics study within the Apiaceae family, facilitating the exploration and harnessing of the therapeutic potential of B. persicum.

茴香或黑孜然，持有显著的药用和烹饪重要性在Apiaceae家族。它的种子在波斯和印度菜系中具有增强风味和防腐的作用。传统医学用它来治疗消化系统疾病、泌尿系统疾病、糖尿病、肥胖和催乳。尽管具有经济价值，但该植物的基因组资源却很少。为了解决这一问题，促进基因研究，我们推出了首个全面的仙桃基因组资源数据库“BpGDB”。BpGDB具有5939个EST-SSR标记，来自88309个非冗余转录本从头组装。此外，它结合了37,232个基因组SSR标记，这些标记来自我们实验室最近的从头基因组测序工作。它还包括使用NCBI-NR和基因本体（GO）数据库注释的仙桃转录本，包括细胞色素P450、蛋白激酶、热休克蛋白（HSPs）等关键基因家族和具有药用价值的生物活性化合物的生物合成酶。此外，BpGDB将4617个转录因子（TFs）分类为57个家族，以及它们的编码序列（CDS），翻译蛋白信息。该数据库用户友好，具有高级搜索功能和多种搜索选项，包括SSR搜索，TF搜索，GO搜索等。用户可以通过点击交互式饼状图或通过数据库主页左侧栏提供的菜单直接访问所需的信息/数据。其目的是促进全球研究人员了解与治疗和烹饪特性相关的遗传性状，同时加强育种策略以提高作物生产力，其中可能包括标记辅助选择、连锁作图、遗传多样性研究和物种种群分析。此外，这将为蜂科植物的比较基因组学研究开辟新的途径，促进对仙桃治疗潜力的探索和利用。

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引用次数: 0

Enhancing germination and growth in Malania oleifera Chun & S. K. Lee seeds through gibberellic acid priming 赤霉素酸对油葵种子萌发和生长的促进作用

IF 3.8 2区农林科学 Q1 PLANT SCIENCES

Journal of Applied Research on Medicinal and Aromatic Plants

Pub Date : 2025-02-11 DOI: 10.1016/j.jarmap.2025.100629

Xuelin Su , Xuying Wang , Nan Cui , Hailing Xu , Ting Tian , Bo Wei

Malania oleifera is an economically and medicinally important endangered forest tree endemic to the karst region of southwestern China, known for the high neurotic acid content of its seed oil. However, it faces challenges of low germination and survival rates due to its dormancy characteristics and high fatty acid content (prone to mildew). This study examines the impact of gibberellic acid (GA₃) on M. oleifera seed germination and the associated physiological and biochemical responses. The results showed that the freshly harvested seeds of M. oleifera remained high (78.33 %) viability but germination was low (50 %) after 5 months of storage. 600 mg/L GA₃ significantly increased the seed germination index, but had no effect on the mildew rate, while 400 mg/L GA₃ reduced the mildew rate. Soluble sugar content was inversely related to GA₃ concentration, while soluble protein levels varied, reaching a minimum at 600 mg/L. Antioxidant (SOD, CAT, POD) and starch-degrading enzyme (α-amylase and β-amylase) activities peaked at this GA₃ concentration. The soluble protein level under 600 mg/L GA₃ treatment was lowest at early stage (S1) and soluble sugar level was lowest at late stage (S2). Antioxidant enzyme and starch-degrading enzyme activities increased with germination, peaking at the final stage (S3). In summary, under the 600 mg/L GA₃ treatment, germination parameters, antioxidant enzymes, and starch - degrading enzymes in M. oleifera seeds were all maximized. Further observation of the four germination stages revealed significant changes in nutrients and enzyme activities, accelerating nutrient consumption and enhancing antioxidant defense.

油麻属（Malania oleifera）是中国西南喀斯特地区特有的一种具有重要经济和药用价值的濒危林木，以其籽油中神经酸含量高而闻名。然而，由于其休眠特性和高脂肪酸含量（容易发霉），它面临着发芽率和成活率低的挑战。本研究探讨了赤霉素酸（GA3）对油橄榄种子萌发及相关生理生化反应的影响。结果表明，新鲜采收的油松种子在贮藏5个月后仍保持较高的活力（78.33 %），但发芽率较低（50 %）。600 mg/L GA3显著提高了种子发芽指数，但对霉变率没有影响，400 mg/L GA3降低了霉变率。可溶性糖含量与GA3浓度呈负相关，可溶性蛋白含量变化较大，最低为600 mg/L。抗氧化活性（SOD、CAT、POD）和淀粉降解酶（α-淀粉酶和β-淀粉酶）活性在该GA3浓度下达到峰值。600 mg/L GA3处理下可溶性蛋白水平在早期（S1）最低，可溶性糖水平在后期（S2）最低。抗氧化酶和淀粉降解酶活性随着萌发而增加，在最后阶段达到峰值（S3）。综上所述，600 mg/L GA3处理下，油橄榄种子的萌发参数、抗氧化酶和淀粉降解酶均达到最大值。进一步观察四个萌发阶段，发现养分和酶活性发生了显著变化，加速了养分消耗，增强了抗氧化防御。

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