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  • Open Access

    ARTICLE

    Analyzing the Cytotoxic and Genetic Impact of Datura stramonium Extract on MCF7 and HT29 Cancer Cells: A Metabolite and Gene Expression Study

    Fayez Althobaiti1, Hadeer Darwish1,*, Raghad Alruqayb1, Saqer S. Alotaibi1, Fahad E. Alharthi2, Ibrahim Jafri1, Sarah Awwadh Altalhi1, Ghadi Alsharif3,4, Hussam Awwadh E Althagafi5, Hesham Noureldeen6, Sarah Alharthi7, Jawaher Albaqami2, Najla Amin T. Al Kashgry2, Ahmed Noureldeen2

    Phyton-International Journal of Experimental Botany, Vol.94, No.1, pp. 181-198, 2025, DOI:10.32604/phyton.2025.059387 - 24 January 2025

    Abstract The interest in using the Datura stramonium plant is due to its natural products, which are used in many pharmaceutical industries. The objective of the current study was to assess the therapeutic and cytotoxic effects of the D. stramonium plant on two types of human cancer cell models (MCF7 and HT29) in vitro. A soxhlet apparatus was used to obtain methanolic extract from dried plant leaves. The recovered crude, after the solvent had evaporated, was then dispersed at varied concentrations of extract 100, 50, 20, and 0.0 µg/mL and tested to see how the cells responded. Also,… More >

  • Open Access

    ARTICLE

    Impact of Seed Halopriming on Germination, Morphological Traits, and Cry1Ac Gene Expression in Bt Cotton (Gossypium hirsutum)

    Wenqi Shi1,#, Binyameen Bin Shafqat2,#, Muhammad Arif1, Ayesha Fazal Nawaz3, Muhammad Amir Zia4, Xu Ling1, Dingli Hong1, Ruhong Xu1,*, Luhua Li1,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.1, pp. 229-241, 2025, DOI:10.32604/phyton.2025.059315 - 24 January 2025

    Abstract Seed priming is an effective seed pretreatment technology that enhances germination and overall crop performance by optimizing seed hydration and metabolic processes before planting. Seed quality is a critical determinant of cotton (Gossypium hirsutum) crop performance, influencing germination, plant vigor, and yield. This study evaluates the effects of seed priming with potassium salts (1% and 2% KCl and K2SO4) on germination, morphological traits, and Cry1Ac gene expression in three Bt cotton cultivars (IUB-2013, NIAB-878B, FH-142) as Cry1Ac enhance the pest resistance in Bt cotton and reduce the plant’s dependence on chemical insecticides. Seeds were primed for six hours, air-dried,… More >

  • Open Access

    ARTICLE

    Genome-Wide Identification of ALDH Gene Family under Salt and Drought Stress in Phaseolus vulgaris

    Abdil Hakan Eren*

    Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 2883-2907, 2024, DOI:10.32604/phyton.2024.058627 - 30 November 2024

    Abstract Background: Aldehyde dehydrogenase (ALDH) genes constitute an important family of supergenes that play key roles in synthesizing various biomolecules and maintaining cellular homeostasis by catalyzing the oxidation of aldehyde products. With climate change increasing the exposure of plants to abiotic stresses such as salt and drought, ALDH genes have been identified as important contributors to stress tolerance. In particular, they help to reduce stress-induced lipid peroxidation. Objectives: This study aims to identify and characterize members of the ALDH supergene family in Phaseolus vulgaris through a genome-wide bioinformatic analysis and investigate their role in response to abiotic stressors such… More >

  • Open Access

    ARTICLE

    Genome-Wide Identification of the GST Gene Family in Loquat (Eriobotrya japonica Lindl.) and Their Expression under Cold Stress with ALA Pretreatment

    Guanpeng Huang1,#, Ti Wu1,2,#, Yinjie Zheng3, Qiyun Gu2, Qiaobin Chen2, Shoukai Lin2,*, Jincheng Wu2,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 2715-2735, 2024, DOI:10.32604/phyton.2024.056484 - 30 November 2024

    Abstract Loquat (Eriobotrya japonica Lindl.), a rare fruit native to China, has a long history of cultivation in China. Low temperature is the key factor restricting loquat growth and severely affects yield. Low temperature induces the regeneration and metabolism of reduced glutathione (GSH) to alleviate stress damage via the participation of glutathione S-transferases (GSTs) in plants. In this study, 16 GSTs were identified from the loquat genome according to their protein sequence similarity with Arabidopsis GSTs. On the basis of domain characteristics and phylogenetic analysis of AtGSTs, these EjGSTs can be divided into 4 subclasses: Phi, Theta, Tau… More >

  • Open Access

    ARTICLE

    Integrated Transcriptomics and Metabolomics Analysis for the Mechanism Underlying White-to-Pink Petal Color Transition in Hibiscus mutabilis Flowers

    Xiaodong Shi*, Tingyu Wang, Sui Ai, Jiasi Li

    Phyton-International Journal of Experimental Botany, Vol.93, No.10, pp. 2571-2581, 2024, DOI:10.32604/phyton.2024.056606 - 30 October 2024

    Abstract Cotton rose (Hibiscus mutabilis) is a well-known ornamental plant that produces large flowers of vibrant colors. However, metabolites in H. mutabilis flowers with vibrant color have not been fully understood. By performing a combined analysis of metabolomics and transcriptomics data, we here explored mechanisms for the production of primary active compounds in this plant. Multivariate statistics unveiled differences in flavonoid metabolism between white and pink flowers, with pink flowers exhibiting a greater flavonoid abundance. The white-to-pink transition of cotton rose flowers may be attributed to pelargonidin-3-O-glucoside formation. On examining the expression of genes related to the structure More > Graphic Abstract

    Integrated Transcriptomics and Metabolomics Analysis for the Mechanism Underlying White-to-Pink Petal Color Transition in <i>Hibiscus mutabilis</i> Flowers

  • Open Access

    ARTICLE

    Genome-Wide Identification of the MYB Gene Family and Screening of Potential Genes Involved in Fatty Acid Biosynthesis in Walnut

    Dongxue Su1, Jiarui Zheng1, Yuwei Yi1, Shuyuan Zhang1, Luxin Feng1, Danzeng Quzhen2, De Qiong3, Weiwei Zhang1, Qijian Wang1, Feng Xu1,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.9, pp. 2317-2337, 2024, DOI:10.32604/phyton.2024.055350 - 30 September 2024

    Abstract The multifaceted roles of MYB transcriptional regulators are pivotal in orchestrating the complex processes of secondary metabolism, stress tolerance mechanisms, and life cycle progression and development. This study extensively examined the JrMYB genes using whole genome and transcriptomic data, focusing on identifying putative MYB genes associated with fatty acid metabolism. 126 MYB genes were identified within the walnut genome, characterized by hydrophilic proteins spanning lengths ranging from 78 to 1890 base pairs. Analysis of cis-acting elements within the promoter regions of MYB genes revealed many elements linked to cell development, environmental stress, and phytohormones. Transcriptomic data was utilized… More > Graphic Abstract

    Genome-Wide Identification of the <i>MYB</i> Gene Family and Screening of Potential Genes Involved in Fatty Acid Biosynthesis in Walnut

  • Open Access

    ARTICLE

    Exosomal microRNA let-7c-5p enhances cell malignant characteristics by inhibiting TAGLN in oral cancer

    YI LI1, TIANYI WANG1, HAORAN DING1, SHIYONG ZHUANG1, XIAOBO DAI1, BING YAN1,2,*

    Oncology Research, Vol.32, No.10, pp. 1623-1635, 2024, DOI:10.32604/or.2024.048191 - 18 September 2024

    Abstract Background: Oral cancer, a malignancy that is prevalent worldwide, is often diagnosed at an advanced stage. MicroRNAs (miRNAs) in circulating exosomes have emerged as promising cancer biomarkers. The role of miRNA let-7c-5p in oral cancer remains underexplored, and its potential involvement in tumorigenesis warrants comprehensive investigation. Methods: Serum samples from 30 patients with oral cancer and 20 healthy controls were used to isolate exosomes and quantify their RNA content. Isolation of the exosomes was confirmed through transmission electron microscopy. Quantitative PCR was used to assess the miRNA profiles. The effects of let-7c-5p and TAGLN overexpression… More >

  • Open Access

    ARTICLE

    Artificial Intelligence Prediction of One-Part Geopolymer Compressive Strength for Sustainable Concrete

    Mohamed Abdel-Mongy1, Mudassir Iqbal2, M. Farag3, Ahmed. M. Yosri1,*, Fahad Alsharari1, Saif Eldeen A. S. Yousef4

    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.1, pp. 525-543, 2024, DOI:10.32604/cmes.2024.052505 - 20 August 2024

    Abstract Alkali-activated materials/geopolymer (AAMs), due to their low carbon emission content, have been the focus of recent studies on ecological concrete. In terms of performance, fly ash and slag are preferred materials for precursors for developing a one-part geopolymer. However, determining the optimum content of the input parameters to obtain adequate performance is quite challenging and scarcely reported. Therefore, in this study, machine learning methods such as artificial neural networks (ANN) and gene expression programming (GEP) models were developed using MATLAB and GeneXprotools, respectively, for the prediction of compressive strength under variable input materials and content… More >

  • Open Access

    ARTICLE

    Microarray Gene Expression Classification: An Efficient Feature Selection Using Hybrid Swarm Intelligence Algorithm

    Punam Gulande*, R. N. Awale

    Computer Systems Science and Engineering, Vol.48, No.4, pp. 937-952, 2024, DOI:10.32604/csse.2024.046123 - 17 July 2024

    Abstract The study of gene expression has emerged as a vital tool for cancer diagnosis and prognosis, particularly with the advent of microarray technology that enables the measurement of thousands of genes in a single sample. While this wealth of data offers invaluable insights for disease management, the high dimensionality poses a challenge for multiclass classification. In this context, selecting relevant features becomes essential to enhance classification model performance. Swarm Intelligence algorithms have proven effective in addressing this challenge, owing to their ability to navigate intricate, non-linear feature-class relationships. This paper introduces a novel hybrid swarm More >

  • Open Access

    ARTICLE

    Enhancing Cancer Classification through a Hybrid Bio-Inspired Evolutionary Algorithm for Biomarker Gene Selection

    Hala AlShamlan*, Halah AlMazrua*

    CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 675-694, 2024, DOI:10.32604/cmc.2024.048146 - 25 April 2024

    Abstract In this study, our aim is to address the problem of gene selection by proposing a hybrid bio-inspired evolutionary algorithm that combines Grey Wolf Optimization (GWO) with Harris Hawks Optimization (HHO) for feature selection. The motivation for utilizing GWO and HHO stems from their bio-inspired nature and their demonstrated success in optimization problems. We aim to leverage the strengths of these algorithms to enhance the effectiveness of feature selection in microarray-based cancer classification. We selected leave-one-out cross-validation (LOOCV) to evaluate the performance of both two widely used classifiers, k-nearest neighbors (KNN) and support vector machine… More >

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