[Development of DUS testing guidelines of Artemisia argyi].

Artemisia argyi is a perennial herbaceous herb of the Artemisia family, with leaves for medical use. However, the germplasm of A. argyi is seriously unclear and mixed during production, and it is urgent to protect new varieties of A.

[Chemical constituents from petroleum ether fraction of Artemisia stolonifera].

The chemical constituents in the petroleum ether fraction of Artemisia stolonifera were investigated. Twenty compounds(1-20) were isolated from the petroleum ether fraction of A. stolonifera by silica gel, Sephadex LH-20, and ODS chromatography and semi-preparative HPLC.

Sesquiterpene lactone from Artemisia argyi inhibited cancer proliferation by inducing apoptosis and ferroptosis via key cell metabolism enzyme NDUFA4.

Background: Artemisia argyi is a well-known medicinal plant. A. argyi has been widely used in clinical for about 3000 years, owing to its extensive pharmacological activity.

Ethyl acetate extract of Artemisia argyi improves the resistance of cotton to Verticillium dahliae by activating the immune response.

Verticillium wilt, a significant pathogen affecting cotton, has historically been challenging to control, posing a substantial threat to the sustainable development of the cotton industry. This study demonstrates that resistance to Verticillium dahliae in cotton can be enhanced by treating the roots with an ethyl acetate extract (EAAA) extracted from Artemisia argyi. The mechanisms by which EAAA activates immunity in cotton were elucidated by examining the expression levels of resistance genes post-treatment, evaluating salicylic acid (SA) and jasmonic acid (JA) levels, analyzing transcriptome data, and employing virus-induced gene silencing (VIGS) technology.

Artemisia argyi leaf powder improves soil properties and recruits Sphingobium bacteria to promote the growth and yield of Pinellia ternata.

Recent research has reported the strong herbicidal activity of Artemisia argyi leaf powder (AALP), indicating its high potential for use as an environmentally friendly weed management solution for ecological agriculture. However, AALP's impacts on soil physicochemical properties and microbial communities have remained uninvestigated. This study explores these effects through pot experiments assessing the AALP's efficacy in weed suppression and its ability to promote the growth of Pinellia ternata, a plant utilized in traditional Chinese medicine.

Comparative transcriptome analysis reveals defense responses against soft rot induced by Pectobacterium aroidearum and Pectobacterium carotovorum in Pinellia ternata.

Pectobacterium carotovorum and Pectobacterium aroidearum represent the primary pathogens causing variable soft rot disease. However, the fundamental defense responses of Pinellia ternata to pathogens remain unclear. Our investigation demonstrated that the disease produced by P.

Integrated multi-omics analysis reveals genes involved in flavonoid biosynthesis and trichome development of Artemisia argyi.

Artemisia argyi is an herbaceous plant of the genus Artemisia. Its young and mature leaves are used as food and medicine, respectively. Glandular trichomes (GTs) are distributed on the leaf surface in A.

Organic fertilizer application promotes the soil nitrogen cycle and plant starch and sucrose metabolism to improve the yield of Pinellia ternata.

Pinellia ternata (Thunb.) Breit is a traditional Chinese medicine with important pharmacological effects. However, its cultivation is challenged by soil degradation following excessive use of chemical fertilizer.

Chemical composition of Artemisia argyi essential oil and its antifungal activity against dermatophytes by inhibiting oxidative phosphorylation and causing oxidative damage.

Ethnopharmacological Relevance: Dermatophytes are notorious pathogens capable of infecting various mammals skin, posing serious threats to human health and overall life quality worldwide. Artemisia argyi has been recorded and applied for over a thousand years to treat skin itching. Although it has the potential to be developed as a plant-based antifungal agent, it's antifungal activity and action mechanism of active ingredients are still unclear.

Anti-inflammatory discovery of sesquiterpenoids and a jasmonic acid derivative from Artemisia stolonifera.

Eleven previously undescribed sesquiterpenoids (8-18), one undescribed jasmonic acid derivative (35) and 28 known compounds were isolated from the leaves of Artemisia stolonifera. Undescribed compounds with their absolute configurations were determined by extensive spectroscopic analysis, single-crystal X-ray diffraction and ECD calculation. Compound 8 was identified as a rare sesquiterpenoid featuring a rearranged 5/8 bicyclic ring system, whereas compound 17 was found to be an unprecedented monocyclic sesquiterpenoid with methyl rearrangement.

The water-soluble subfraction from Artemisia argyi alleviates LPS-induced inflammatory responses via multiple pathways and targets in vitro and in vivo.

Ethnopharmacological Relevance: As a traditional Chinese medicine, Artemisia argyi has been used medicinally and eaten for more than 2000 years in China. It is widely reported in treating inflammatory diseases such as eczema, dermatitis, arthritis, allergic asthma and colitis. Although several studies claim that its volatile oil and organic reagent extracts have certain anti-inflammatory effects, the water-soluble fractions and molecular mechanisms have not been studied.

Artemisia argyi extract subfraction exerts an antifungal effect against dermatophytes by disrupting mitochondrial morphology and function.

Artemisia argyi (A. argyi), a plant with a longstanding history as a raw material for traditional medicine and functional diets in Asia, has been used traditionally to bathe and soak feet for its disinfectant and itch-relieving properties. Despite its widespread use, scientific evidence validating the antifungal efficacy of A.

[Prediction analysis of quality markers and resource evaluation of Artemisiae Argyi Folium based on chemical composition and network pharmacology].

This study is based on ultra-high-performance liquid chromatography(UPLC), gas chromatography-mass spectrometry(GC-MS), and network pharmacology methods to analyze and predict potential quality markers(Q-markers) of Artemisiae Argyi Folium. First, UPLC and GC-MS techniques were used to analyze the content of 12 non-volatile components and 8 volatile components in the leaves of 33 Artemisia argyi germplasm resources as candidate Q-markers. Subsequently, network pharmacology was employed to construct a "component-target-pathway-efficacy" network to screen out core Q-markers, and the biological activity of the markers was validated using molecular docking.

[Corythucha marmorata affects growth and quality of Artemisia argyi].

This study aims to investigate the impact of the invasive pest Corythucha marmorata on the growth and quality of Artemi-sia argyi. The signs of insect damage at the cultivation base of A. argyi in Huanggang, Hubei were observed.

Gene Cloning and Characterization of Transcription Factor in Tartary Buckwheat ( (L.) Gaertn.).

NAC transcription factors play a significant role in plant stress responses. In this study, an NAC transcription factor, with a CDS of 792 bp encoding 263 amino acids, was cloned from (L.) Gaertn.

Mechanisms governing the impact of nitrogen stress on the formation of secondary metabolites in Artemisia argyi leaves.

Nitrogen is a key factor in various physiological and metabolic processes in plants. Providing an adequate supply of nitrogen is essential for improving the total yield and quality of the medicinal plant Artemisia argyi (A. argyi), but the underlying mechanisms of how this nutrient alters the crop remains unclear.

Effects of phosphorus stress on the growth and secondary metabolism of Artemisia argyi.

Phosphorus is essential in critical plant processes such as signaling, photosynthesis, energy metabolism, and enzyme activity during respiration. Phosphorus stress therefore has a significant impact on plant growth and metabolism. Here, we characterized the biochemical responses of Artemisia argyi Level.

[Distinguishing between Artemisia stolonifera and A. argyi by specific PCR of leaves and non-glandular trichomes].

Artemisia stolonifera is a relative of A. argyi. The two species are difficult to be distinguished due to the similarity in leaf shape and have even less distinctive features after processing.

[Effects of shading intensity on growth and quality of Artemisia stolonifera].

The purpose of this study was to analyze the effects of shading intensity on the growth, yield, and quality of Artemisia stolonifera so as to provide references for the artificial cultivation of A. stolonifera. The seedlings of A.

[Anti-inflammatory material basis and mechanism of Artemisia stolonifera based on UPLC-Q-TOF-MS combined with network pharmacology and molecular docking].

This study aimed to explore the anti-inflammatory material basis and molecular mechanism of Artemisia stolonifera based on the analysis of the chemical components in different extracted fractions of A. stolonifera and their antioxidant and anti-inflammatory effects in combination with network pharmacology and molecular docking. Thirty-two chemical components were identified from A.

[Quality of moxa from Artemisia argyi and A. stolonifera in different storage years based on simultaneous thermal analysis].

The quality of moxa is an important factor affecting moxibustion therapy, and traditionally, 3-year moxa is considered optimal, although scientific data are lacking. This study focused on 1-year and 3-year moxa from Artemisia stolonifera and A. argyi(leaf-to-moxa ratio of 10∶1) as research objects.

Data quantity governance for machine learning in materials science.

Data-driven machine learning (ML) is widely employed in the analysis of materials structure-activity relationships, performance optimization and materials design due to its superior ability to reveal latent data patterns and make accurate prediction. However, because of the laborious process of materials data acquisition, ML models encounter the issue of the mismatch between a high dimension of feature space and a small sample size (for traditional ML models) or the mismatch between model parameters and sample size (for deep-learning models), usually resulting in terrible performance. Here, we review the efforts for tackling this issue via feature reduction, sample augmentation and specific ML approaches, and show that the balance between the number of samples and features or model parameters should attract great attention during data quantity governance.

Integrative Analysis of Metabolomic and Transcriptomic Data Reveals the Mechanism of Color Formation in Corms of .

(Thunb.) Breit. () is a very important plant that is commonly used in traditional Chinese medicine.