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  • Open Access

    ARTICLE

    Selenium: A Game Changer in Plant Development, Growth, and Stress Tolerance, via the Modulation in Gene Expression and Secondary Metabolite Biosynthesis

    Ali Bandehagh1,*, Zahra Dehghanian2, Vahideh Gougerdchi1, Mohammad Anwar Hossain3,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.8, pp. 2301-2324, 2023, DOI:10.32604/phyton.2023.028586

    Abstract The presence of selenium (Se) is not widely established as crucial for crops, although it is commonly recognized as an important nutrient for animals as well as humans. Even so, it is inevitably accepted that Se usually contributes positively to the life cycle of plants. Previous findings suggested that small amounts of Se seem to have a productive role in growth and production. As a result, Se is assumed to function in multiple ways, primarily by influencing a variety of biochemical and physiological functions. Also, Se also acts as a plant antioxidant and pro-oxidant and… More >

  • Open Access

    ARTICLE

    Identification and Expression Analysis of Abscisic Acid Signal Transduction Genes in Hemp Seeds

    Cong Hou1, Kang Ning1, Xiuye Wei1, Yufei Cheng1, Huatao Yu1, Haibin Yu2, Xia Liu1,*, Linlin Dong1,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.7, pp. 2087-2103, 2023, DOI:10.32604/phyton.2023.029041

    Abstract Abscisic acid (ABA) is involved in regulating diverse biological processes, but its signal transduction genes and roles in hemp seed germination are not well known. Here, the ABA signaling pathway members, PYL, PP2C and SnRK2 gene families, were identified from the hemp reference genome, including 7 CsPYL (pyrab-actin resistance1-like, ABA receptor), 8 CsPP2CA (group A protein phosphatase 2c), and 7 CsSnRK2 (sucrose nonfermenting1-related protein kinase 2). The content of ABA in hemp seeds in germination stage is lower than that in non-germination stage. Exogenous ABA (1 or 10 μM) treatment had a significant regulatory effect on the selected PYL,… More >

  • Open Access

    ARTICLE

    Insecticidal Potential of α-Pinene and β-Caryophyllene against Myzus persicae and Their Impacts on Gene Expression

    Talha Ali Chohan1,*, Tahir Ali Chohan2,*, Muhammad Zahid Mumtaz1, Muhammad Waqar Alam3, Salah ud Din4, Iqra Naseer5, Ayesha Riaz1, Tayyeba Naseem1, Areeba Iftikhar6, Dur E. Najaf Ali1, Mubashir Hassan7, Hayssam M. Ali8

    Phyton-International Journal of Experimental Botany, Vol.92, No.7, pp. 1943-1954, 2023, DOI:10.32604/phyton.2023.026945

    Abstract Myzus persicae (M. persicae) is now considered a threat to agricultural crops due to economic losses. Numerous synthetic insecticides applied every year against M. persicae, are reported to be unsafe for environment, humans, and beneficial insects. Furthermore, several species of Myzus have been found to develop resistance due to over application of these insecticides. Therefore, it is required to find some novel insecticide that would be safe for the environment as well as for humans. In the current study, two major pure constituents α-pinene and β-caryophyllene were evaluated for their insecticidal potential against M. persicae using a fumigant toxicity assay.… More >

  • Open Access

    ARTICLE

    Genome-Wide Identification and Expression Analysis of the Phytocyanin Gene Family in Nicotiana tabacum

    Peiling Wang1,#, Xiaohong Xu2,#, Yong Li2, Hecui Zhang1, Xuejie Zhang3, Siru Zhou1, Yimei Liu1, Yunyan Feng1, Tonghong Zuo1, Liquan Zhu1,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.5, pp. 1469-1492, 2023, DOI:10.32604/phyton.2023.027133

    Abstract Phytocyanin (PC) is a class of plant-specific blue copper proteins involved in electron transport, plant growth, development, and stress resistance. However, PC proteins have not been systematically evaluated in tobacco plants. We determined the whole-genome sequences of the PC family in the tobacco cultivar ‘K326.’ The transcriptome data were used to analyze the expression of the NtPC family at different development stages and tissue-specific genes. Real-time fluorescence quantitative analysis was used to analyze the expression of the NtPC gene family under low temperature and methyl jasmonate stress. The tobacco NtPC family contained 110 members and was divided… More >

  • Open Access

    ARTICLE

    Rules Mining-Based Gene Expression Programming for the Multi-Skill Resource Constrained Project Scheduling Problem

    Min Hu1,2,3, Zhimin Chen4, Yuan Xia4, Liping Zhang1,2,3,*, Qiuhua Tang1,2,3

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.3, pp. 2815-2840, 2023, DOI:10.32604/cmes.2023.027146

    Abstract The multi-skill resource-constrained project scheduling problem (MS-RCPSP) is a significant management science problem that extends from the resource-constrained project scheduling problem (RCPSP) and is integrated with a real project and production environment. To solve MS-RCPSP, it is an efficient method to use dispatching rules combined with a parallel scheduling mechanism to generate a scheduling scheme. This paper proposes an improved gene expression programming (IGEP) approach to explore newly dispatching rules that can broadly solve MS-RCPSP. A new backward traversal decoding mechanism, and several neighborhood operators are applied in IGEP. The backward traversal decoding mechanism dramatically More > Graphic Abstract

    Rules Mining-Based Gene Expression Programming for the Multi-Skill Resource Constrained Project Scheduling Problem

  • Open Access

    ARTICLE

    Selection and Validation of Reference Genes for Normalization of RT-qPCR Analysis in Developing or Abiotic-Stressed Tissues of Loquat (Eriobotrya japonica)

    Shoukai Lin1,2,#, Shichang Xu1,#, Liyan Huang1, Fuxiang Qiu1, Yihong Zheng1, Qionghao Liu1, Shiwei Ma1,2, Bisha Wu1,2, Jincheng Wu1,2,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.4, pp. 1185-1201, 2023, DOI:10.32604/phyton.2023.026752

    Abstract Loquat (Eriobotrya japonica Lindl.) is a subtropical evergreen fruit tree that produces fruits with abundant nutrients and medicinal components. Confirming suitable reference genes for a set of loquat samples before qRT-PCR experiments is essential for the accurate quantification of gene expression. In this study, eight candidate reference genes were selected from our previously published RNA-seq data, and primers for each candidate reference gene were designed and evaluated. The Cq values of the candidate reference genes were calculated by RT-qPCR in 31 different loquat samples, including 12 subgroups of developing or abiotic-stressed tissues. Different combinations of stable… More >

  • Open Access

    ARTICLE

    A developed ant colony algorithm for cancer molecular subtype classification to reveal the predictive biomarker in the renal cell carcinoma

    ZEKUN XIN1,#, YUDAN MA2,#, WEIQIANG SONG3, HAO GAO3, LIJUN DONG3, BAO ZHANG1,*, ZHILONG REN3,*

    BIOCELL, Vol.47, No.3, pp. 555-567, 2023, DOI:10.32604/biocell.2023.026254

    Abstract Background: Recently, researchers have been attracted in identifying the crucial genes related to cancer, which plays important role in cancer diagnosis and treatment. However, in performing the cancer molecular subtype classification task from cancer gene expression data, it is challenging to obtain those significant genes due to the high dimensionality and high noise of data. Moreover, the existing methods always suffer from some issues such as premature convergence. Methods: To address those problems, we propose a new ant colony optimization (ACO) algorithm called DACO to classify the cancer gene expression datasets, identifying the essential genes of… More >

  • Open Access

    ARTICLE

    Hybrid Feature Selection Method for Predicting Alzheimer’s Disease Using Gene Expression Data

    Aliaa El-Gawady1,*, BenBella S. Tawfik1, Mohamed A. Makhlouf1,2

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 5559-5572, 2023, DOI:10.32604/cmc.2023.034734

    Abstract Gene expression (GE) classification is a research trend as it has been used to diagnose and prognosis many diseases. Employing machine learning (ML) in the prediction of many diseases based on GE data has been a flourishing research area. However, some diseases, like Alzheimer’s disease (AD), have not received considerable attention, probably owing to data scarcity obstacles. In this work, we shed light on the prediction of AD from GE data accurately using ML. Our approach consists of four phases: preprocessing, gene selection (GS), classification, and performance validation. In the preprocessing phase, gene columns are… More >

  • Open Access

    ARTICLE

    Salt Stress Affects the Growth and Yield of Wheat (Triticum aestivum L.) by Altering the Antioxidant Machinery and Expression of Hormones and Stress-Specific Genes

    Shahid Hussain1, Rui Zhang1, Shuli Liu1, Yang Wang1, Irshad Ahmad2, Yinglong Chen1, Hongyan Hou3, Qigen Dai1,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.3, pp. 861-881, 2023, DOI:10.32604/phyton.2023.025487

    Abstract

    Understanding physiological responses in saline agriculture may facilitate wheat breeding programs. Based on a screening test, the Ningmai-14 (NM-14) and Yangmai-23 (YM-23) wheat cultivars were selected for further experiments to understand the underlying salinity tolerance mechanism. This study investigated the effects of five salinity levels such as Control (CK) = 0 (without NaCl stress), S1 = 0.20%, S2 = 0.25%, S3 = 0.30% and S4 = 0.35% of NaCl concentrations of soil on wheat plants. The results showed that increased salinity concentration reduced the growth and yield of wheat cultivars (NM-14 and YM-23). However, YM-23 (12.7%)

    More >

  • Open Access

    ARTICLE

    Regulatory Genes Through Robust-SNR for Binary Classification Within Functional Genomics Experiments

    Muhammad Hamraz1, Dost Muhammad Khan1, Naz Gul1, Amjad Ali1, Zardad Khan1, Shafiq Ahmad2, Mejdal Alqahtani2, Akber Abid Gardezi3, Muhammad Shafiq4,*

    CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 3663-3677, 2023, DOI:10.32604/cmc.2023.030064

    Abstract The current study proposes a novel technique for feature selection by inculcating robustness in the conventional Signal to noise Ratio (SNR). The proposed method utilizes the robust measures of location i.e., the “Median” as well as the measures of variation i.e., “Median absolute deviation (MAD) and Interquartile range (IQR)” in the SNR. By this way, two independent robust signal-to-noise ratios have been proposed. The proposed method selects the most informative genes/features by combining the minimum subset of genes or features obtained via the greedy search approach with top-ranked genes selected through the robust signal-to-noise ratio (RSNR).… More >

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