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  • Open Access

    ARTICLE

    Genome-Wide Identification of ABCC Gene Subfamily Members and Functional Analysis of CsABCC11 in Camellia sinensis

    Mingyuan Luo1, Shiyu Tian1, Xinzhuan Yao2, Yue Wan4, Zhouzhuoer Chen1, Zifan Yang4, Huagen Hao4, Fei Liu3, Hu Tang1,2,*, Litang Lu1,2,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.8, pp. 2019-2036, 2024, DOI:10.32604/phyton.2024.052938 - 30 August 2024

    Abstract The ATP-binding cassette (ABC) transporter is a gene superfamily in plants. ATP-binding cassette subfamily C (ABCC) protein is a multidrug resistance-associated (MRP) transporter. They play various roles in plant growth, development, and secondary metabolite transport. However, there are few studies on ABCC transporters in tea plants. In this study, genome-wide association study (GWAS) analysis of epigallocatechin gallate (EGCG) content in 108 strains of Kingbird revealed that CsABCCs may be involved in EGCG transport. We identified 25 CsABCC genes at the genomic level of the tea plant, their phylogenetic tree, gene structure, targeted miRNA and other bioinformatics… More >

  • Open Access

    ARTICLE

    Genome-Wide Identification and Expression Analysis of the GSK3 Gene Family in Sunflower under Various Abiotic Stresses

    Xianwen Ji#, Ziying Jiang#, Jichao Wang, Lili Dong, Xinyi Deng*

    Phyton-International Journal of Experimental Botany, Vol.93, No.8, pp. 1839-1850, 2024, DOI:10.32604/phyton.2024.052809 - 30 August 2024

    Abstract Genes in the glycogen synthase kinase 3 (GSK3) family are essential in regulating plant response to stressful conditions. This study employed bioinformatics to uncover the GSK3 gene family from the sunflower genome database. The expressions of GSK3 genes in different tissues and stress treatments, such as salt, drought, and cold, were assessed using transcriptome sequencing and quantitative real-time PCR (qRT-PCR). The study results revealed that the 12 GSK3 genes of sunflower, belonging to four classes (Classes I–IV), contained the GSK3 kinase domain and 11–13 exons. The majority of GSK3 genes were highly expressed in the leaf axil and… More >

  • Open Access

    REVIEW

    Application of Transgenic Technology in Identification for Gene Function on Grasses

    Lijun Zhang, Ying Liu*, Yushou Ma*, Xinyou Wang

    Phyton-International Journal of Experimental Botany, Vol.93, No.8, pp. 1913-1941, 2024, DOI:10.32604/phyton.2024.052621 - 30 August 2024

    Abstract Perennial grasses have developed intricate mechanisms to adapt to diverse environments, enabling their resistance to various biotic and abiotic stressors. These mechanisms arise from strong natural selection that contributes to enhancing the adaptation of forage plants to various stress conditions. Methods such as antisense RNA technology, CRISPR/Cas9 screening, virus-induced gene silencing, and transgenic technology, are commonly utilized for investigating the stress response functionalities of grass genes in both warm-season and cool-season varieties. This review focuses on the functional identification of stress-resistance genes and regulatory elements in grasses. It synthesizes recent studies on mining functional genes, regulatory More >

  • Open Access

    ARTICLE

    Identification of Mulberry Bacterial Blight Caused by Klebsiella oxytoca in Bazhong, Sichuan, China

    Yuan Huang1, Jia Wei2, Peigang Liu2, Yan Zhu2, Tianbao Lin2, Zhiqiang Lv2, Yijun Li3, Mei Zong3, Yun Zhou3, Junshan Gao1,*, Zilong Xu2,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.8, pp. 1995-2008, 2024, DOI:10.32604/phyton.2024.052353 - 30 August 2024

    Abstract To provide a scientific basis for controlling mulberry bacterial blight in Bazhong, Sichuan, China (BSC), this study aimed to isolate and purify pathogenic bacteria from diseased branches of mulberry trees in the region and to clarify their taxonomic status using morphological observation, physiological and biochemical detection, molecular-level identification, and the construction of a phylogenetic tree. A total of 218 bacterial strains were isolated from samples of diseased mulberry branches. Of these, 7 strains were identified as pathogenic bacteria based on pathogenicity tests conducted in accordance with Koch’s postulates. Preliminary findings from the analysis of the More >

  • Open Access

    ARTICLE

    Identification and Analysis of the WRKY Transcription Factor Gene Family in Verbena bonariensis

    Dandan Yuan, Ju Cai, Tao Zhang, Sisi Wang, Xiuliu Yang, Yan Li*

    Phyton-International Journal of Experimental Botany, Vol.93, No.8, pp. 1875-1896, 2024, DOI:10.32604/phyton.2024.052190 - 30 August 2024

    Abstract The WRKY transcription factor gene family is one of the unique gene families in plants. It plays an important role in response to abiotic stresses such as cold and drought, hormone signal transduction, regulation of biosynthesis, leaf senescence seed germination, etc. However, little information is available about WRKY transcription factors in Verbena bonariensis. In this study, 70 VbWRKY genes were identified from the whole genome. The phylogenetic analysis of the WRKY gene family in V. bonariensis and Arabidopsis shows that the WRKY genes in V. bonariensis can be divided into three groups: I, II, and III, which contain 13, 47, and… More >

  • Open Access

    ARTICLE

    Source Camera Identification Algorithm Based on Multi-Scale Feature Fusion

    Jianfeng Lu1,2, Caijin Li1, Xiangye Huang1, Chen Cui3, Mahmoud Emam1,2,4,*

    CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 3047-3065, 2024, DOI:10.32604/cmc.2024.053680 - 15 August 2024

    Abstract The widespread availability of digital multimedia data has led to a new challenge in digital forensics. Traditional source camera identification algorithms usually rely on various traces in the capturing process. However, these traces have become increasingly difficult to extract due to wide availability of various image processing algorithms. Convolutional Neural Networks (CNN)-based algorithms have demonstrated good discriminative capabilities for different brands and even different models of camera devices. However, their performances is not ideal in case of distinguishing between individual devices of the same model, because cameras of the same model typically use the same… More >

  • Open Access

    ARTICLE

    HybridGAD: Identification of AI-Generated Radiology Abstracts Based on a Novel Hybrid Model with Attention Mechanism

    Tuğba Çelikten1, Aytuğ Onan2,*

    CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 3351-3377, 2024, DOI:10.32604/cmc.2024.051574 - 15 August 2024

    Abstract The purpose of this study is to develop a reliable method for distinguishing between AI-generated, paraphrased, and human-written texts, which is crucial for maintaining the integrity of research and ensuring accurate information flow in critical fields such as healthcare. To achieve this, we propose HybridGAD, a novel hybrid model that combines Long Short-Term Memory (LSTM), Bidirectional LSTM (Bi-LSTM), and Bidirectional Gated Recurrent Unit (Bi-GRU) architectures with an attention mechanism. Our methodology involves training this hybrid model on a dataset of radiology abstracts, encompassing texts generated by AI, paraphrased by AI, and written by humans. The… More >

  • Open Access

    ARTICLE

    Leveraging Pre-Trained Word Embedding Models for Fake Review Identification

    Glody Muka1,*, Patrick Mukala1,2,*

    Journal on Artificial Intelligence, Vol.6, pp. 211-223, 2024, DOI:10.32604/jai.2024.049685 - 07 August 2024

    Abstract Reviews have a significant impact on online businesses. Nowadays, online consumers rely heavily on other people's reviews before purchasing a product, instead of looking at the product description. With the emergence of technology, malicious online actors are using techniques such as Natural Language Processing (NLP) and others to generate a large number of fake reviews to destroy their competitors’ markets. To remedy this situation, several researches have been conducted in the last few years. Most of them have applied NLP techniques to preprocess the text before building Machine Learning (ML) or Deep Learning (DL) models… More >

  • Open Access

    ARTICLE

    Identification of TMEM159 as a biomarker of glioblastoma progression based on immune characteristics

    JI SHI1,2, YE ZHANG2, YI CHEN2, TANGJUN GUO3,*, HAOZHE PIAO2,*

    BIOCELL, Vol.48, No.8, pp. 1241-1263, 2024, DOI:10.32604/biocell.2024.051049 - 02 August 2024

    Abstract Background: Glioblastoma multiforme (GBM) is the most general malignancy of the primary central nervous system that is characterized by high aggressiveness and lethality. Transmembrane protein 159 (TMEM159) is an endoplasmic reticulum protein that can form oligomers with seipin. The TMEM159-seipin complex decides the site of lipid droplet (LD) formation, and the formation of LDs is a marker of GBM. However, the role of TMEM159 in the progression of GBM has not been investigated to date. Methods: In this study, we examined the genes that may be associated with patient prognosis in GBM by bioinformatics analyses,… More >

  • Open Access

    ARTICLE

    Genome-Wide Discovery and Expression Profiling of the SWEET Sugar Transporter Gene Family in Woodland Strawberry (Fragaria vesca) under Developmental and Stress Conditions: Structural and Evolutionary Analysis

    Shoukai Lin1,3,4,*, Yifan Xiong2, Shichang Xu1,2, Manegdebwaoaga Arthur Fabrice Kabore2, Fan Lin5, Fuxiang Qiu1,2,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.7, pp. 1485-1502, 2024, DOI:10.32604/phyton.2024.050990 - 30 July 2024

    Abstract The SWEET (sugar will eventually be exported transporter) family proteins are a recently identified class of sugar transporters that are essential for various physiological processes. Although the functions of the SWEET proteins have been identified in a number of species, to date, there have been no reports of the functions of the SWEET genes in woodland strawberries (Fragaria vesca). In this study, we identified 15 genes that were highly homologous to the A. thaliana AtSWEET genes and designated them as FvSWEET1FvSWEET15. We then conducted a structural and evolutionary analysis of these 15 FvSWEET genes. The phylogenetic analysis enabled us… More >

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