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  • Open Access

    ARTICLE

    Restructuring Tilth Layers Can Change the Microbial Community Structure and Affect the Occurrence of Verticillium Wilt in Cotton Field

    Ming Dong#, Yan Wang#, Shulin Wang, Guoyi Feng, Qian Zhang, Yongzeng Lin, Qinglong Liang, Yongqiang Wang*, Hong Qi*

    Phyton-International Journal of Experimental Botany, Vol.92, No.10, pp. 2841-2860, 2023, DOI:10.32604/phyton.2023.030465

    Abstract Restructuring tilth layers (RTL) is a tillage method that exchanges the 0–20 and 20–40 cm soil layers that can be applied during cotton cultivation to increase cotton yield, eliminate weeds and alleviate severe disease, including Verticillium wilt. However, the mechanism by which RTL inhibits Verticillium wilt is unclear. Therefore, we investigated the distribution of microbial communities after rotary tillage (CK) and RTL treatments to identify the reasons for the reduction of Verticillium wilt in cotton fields subjected to RTL. Illumina high-throughput sequencing was used to sequence the bacterial and fungal genes. The disease incidence and severity of Verticillium wilt decreased… More >

  • Open Access

    ARTICLE

    QBFO-BOMP Based Channel Estimation Algorithm for mmWave Massive MIMO Systems

    Xiaoli Jing, Xianpeng Wang*, Xiang Lan, Ting Su

    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.2, pp. 1789-1804, 2023, DOI:10.32604/cmes.2023.028477

    Abstract At present, the traditional channel estimation algorithms have the disadvantages of over-reliance on initial conditions and high complexity. The bacterial foraging optimization (BFO)-based algorithm has been applied in wireless communication and signal processing because of its simple operation and strong self-organization ability. But the BFO-based algorithm is easy to fall into local optimum. Therefore, this paper proposes the quantum bacterial foraging optimization (QBFO)-binary orthogonal matching pursuit (BOMP) channel estimation algorithm to the problem of local optimization. Firstly, the binary matrix is constructed according to whether atoms are selected or not. And the support set of the sparse signal is recovered… More >

  • Open Access

    ARTICLE

    Antibacterial Activity and Mechanisms of Ethanol Extracts from Scutellaria baicalensis Georgi and Magnolia officinalis against Phytophthora nicotianae

    Xu Gao, Ziqi Shen, Jinliang Xu, Min Fan, Qiang Li*

    Phyton-International Journal of Experimental Botany, Vol.92, No.7, pp. 1987-1999, 2023, DOI:10.32604/phyton.2023.027318

    Abstract Phytophthora nicotianae causes substantial economic losses in most countries where tobacco is produced. At present, the control of P. nicotianae mainly depends on chemical methods, with considerable environmental and health issues. We investigated the effects of ethanol extracts from Scutellaria baicalensis Georgi (SBG) and Magnolia officinalis (MO). On mycelial growth, sporangium formation, and zoospore release of P. nicotianae. Both extracts inhibited the growth of P. nicotianae, with mycelial growth inhibition rates of 88.92% and 93.92%, respectively, at 40 mg/mL, and EC50 values of 5.39 and 5.74 mg/mL, respectively. The underlying mechanisms were the inhibition of sporangium formation, the reduction of… More >

  • Open Access

    REVIEW

    Recent progress in microbial cell surface display systems and their application on biosensors

    HAIYING CHEN, YUQING WU, BAOJIAN HUANG, LEI HAN*

    BIOCELL, Vol.47, No.6, pp. 1213-1223, 2023, DOI:10.32604/biocell.2023.028035

    Abstract Microbial cell surface display technology is a recombinant technology to express target proteins on the cell membrane, which can be used to redesign the cell surface with functional proteins and peptides. Bacterial and yeast surface display systems are the most common cell surface display systems of prokaryotic and eukaryotic proteins, that are widely applied as the core elements in the field of biosensors due to their advantages, including enhanced stability, high yield, good safety, expression of larger and more complex proteins. To further promote the performance of biosensors, the biomineralized microbial surface display technology was proposed. This review summarized the… More >

  • Open Access

    ARTICLE

    Sequence-Based Predicting Bacterial Essential ncRNAs Algorithm by Machine Learning

    Yuan-Nong Ye1,2,3,*, Ding-Fa Liang2, Abraham Alemayehu Labena4, Zhu Zeng2,*

    Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 2731-2741, 2023, DOI:10.32604/iasc.2023.026761

    Abstract Essential ncRNA is a type of ncRNA which is indispensable for the survival of organisms. Although essential ncRNAs cannot encode proteins, they are as important as essential coding genes in biology. They have got wide variety of applications such as antimicrobial target discovery, minimal genome construction and evolution analysis. At present, the number of species required for the determination of essential ncRNAs in the whole genome scale is still very few due to the traditional methods are time-consuming, laborious and costly. In addition, traditional experimental methods are limited by the organisms as less than 1% of bacteria can be cultured… More >

  • Open Access

    ARTICLE

    The Antibacterial Activities of Copper Oxide Nanoparticles Synthesized Using Laser Ablation in Different Surfactants against Streptococcus mutans

    Ruaa H. Abbas1, A. Kadhim1,*, Azhar M. Haleem2

    Journal of Renewable Materials, Vol.11, No.5, pp. 2109-2123, 2023, DOI:10.32604/jrm.2023.025112

    Abstract Copper oxide nanoparticles (CuO NPs) were synthesised with laser ablation of a copper sheet immersed in deionized water (DW), cetrimonium bromide (CTAB), and sodium dodecyl sulphate (SDS), respectively. The target was irradiated with a pulsed Nd: YAG laser at 1064 nm, 600 mJ, a pulse duration of 10 ns, and a repetition rate of 5 Hz. The CuO NPs colloidal were analyzed using UV–Vis spectroscopy, the Fourier transform infrared (FTIR) spectrometer, zeta potential (ZP), X-ray diffraction (XRD), transmission electron microscope (TEM) and field emission scanning electron microscopy (FESEM). The absorption spectra of CuO NPs colloidal showed peaks at 214, 215… More >

  • Open Access

    ARTICLE

    Selection and validation of reference genes for quantitative real-time polymerase chain reaction analyses of Serratia ureilytica DW2

    FENGLIN BAI1,2,#, BIANXIA BAI1,2,#, TINGTING JIN1,2, GUIPING ZHANG1,2, JIAHONG REN1,2,*

    BIOCELL, Vol.47, No.3, pp. 647-656, 2023, DOI:10.32604/biocell.2023.024758

    Abstract Background: Serratia ureilytica DW2 is a highly efficient phosphate-solubilizing bacteria isolated from Codonopsis pilosula rhizosphere soil that can promote the growth of C. pilosula; nonetheless, until now, no validated reference genes from the genus Serratia have been reported that can be used for the normalization of quantitative real-time polymerase chain reaction (RT–qPCR) data. Methods: To screen stable reference genes of S. ureilytica DW2, the expression of its eight candidate reference genes (16S rRNA, ftsZ, ftsA, mreB, recA, slyD, thiC, and zipA) under different treatment conditions (pH, temperature, culture time, and salt content) was assayed by RT–qPCR. The expression stability of… More >

  • Open Access

    ARTICLE

    Correlations among core species corresponding to the clinical staging of periodontitis

    QIAN ZHANG1,#, MIN ZHEN2,#, PENG LI3, XIAOPEI CHI4,*, YIFEI ZHANG1,*

    BIOCELL, Vol.47, No.2, pp. 431-439, 2023, DOI:10.32604/biocell.2023.024948

    Abstract The correlation between microbiota plays a vital role in the progression of periodontal disease. This study investigated the in situ interaction networks between periodontal pathogens in periodontal and peri-implant disease. We used quantitative real-time polymerase chain reaction and Pearson’s correlation coefficients to quantify the copy numbers and correlations of four oral core species—Fusobacterium nucleatum, Porphyromonas gingivalis, Prevotella intermedia, and Streptococcus gordonii—from 80 subgingival sites (healthy and with periodontitis or gingivitis) in patients with periodontitis, and 68 subgingival sites (healthy and with periodontitis, gingivitis, peri-implantitis, or peri-implant mucositis) in patients with implants. The highest bacterial counts were observed for Porphyromonas gingivalisMore >

  • Open Access

    ARTICLE

    Smart Lung Tumor Prediction Using Dual Graph Convolutional Neural Network

    Abdalla Alameen*

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 369-383, 2023, DOI:10.32604/iasc.2023.031039

    Abstract A significant advantage of medical image processing is that it allows non-invasive exploration of internal anatomy in great detail. It is possible to create and study 3D models of anatomical structures to improve treatment outcomes, develop more effective medical devices, or arrive at a more accurate diagnosis. This paper aims to present a fused evolutionary algorithm that takes advantage of both whale optimization and bacterial foraging optimization to optimize feature extraction. The classification process was conducted with the aid of a convolutional neural network (CNN) with dual graphs. Evaluation of the performance of the fused model is carried out with… More >

  • Open Access

    REVIEW

    Bacterial endotoxins in periodontal health and diseases

    FARIHA NUSRAT1, MOHAMMAD TARIQUR RAHMAN2, MUHAMMAD MANJURUL KARIM3,*

    BIOCELL, Vol.47, No.1, pp. 81-89, 2023, DOI:10.32604/biocell.2023.024635

    Abstract Bacterial endotoxins are a major concern in periodontal health and diseases owing to their structure and biological activity. With up-to-date knowledge of endotoxins and the recent findings about the influence of endotoxins in dental health, their probable mode of pathogenesis, and standard detection methods, this review analyzes the potential efficacy and benefits of probiotics in combination with conventional and contemporary treatment measures. In the oral cavity, Gram-negative bacteria are documented to predominate in the pulpal lesions with radiolucent areas and in the root canal with pulp necrosis, where they pose an absolute threat by promoting a series of inflammatory reactions.… More >

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