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      Inhibition of Biofilm Formation and Related Gene Expression of Listeria monocytogenes in Response to Four Natural Antimicrobial Compounds and Sodium Hypochlorite

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          Abstract

          The aim of this study was to assess the efficacy of four natural antimicrobial compounds (cinnamaldehyde, eugenol, resveratrol and thymoquinone) plus a control chemical disinfectant (sodium hypochlorite) in inhibiting biofilm formation by Listeria monocytogenes CMCC54004 (Lm 54004) at a minimum inhibitory concentration (MIC) and sub-MICs. Crystal violet staining assay and microscopic examination were employed to investigate anti-biofilm effects of the evaluated compounds, and a real-time PCR assay was used to investigate the expression of critical genes by Lm 54004 biofilm. The results showed that five antimicrobial compounds inhibited Lm 54004 biofilm formation in a dose dependent way. Specifically, cinnamaldehyde and resveratrol showed better anti-biofilm effects at 1/4 × MIC, while sodium hypochlorite exhibited the lowest inhibitory rates. A swimming assay confirmed that natural compounds at sub-MICs suppressed Lm 54004 motility to a low degree. Supporting these findings, expression analysis showed that all four natural compounds at 1/4 × MIC significantly down-regulated quorum sensing genes ( agrA, agrC, and agrD) rather than suppressing the motility- and flagella-associated genes ( degU, motB, and flaA). This study revealed that sub-MICs of natural antimicrobial compounds reduced biofilm formation by suppressing the quorum sensing system rather than by inhibiting flagella formation.

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          Most cited references42

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          Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

          The two most commonly used methods to analyze data from real-time, quantitative PCR experiments are absolute quantification and relative quantification. Absolute quantification determines the input copy number, usually by relating the PCR signal to a standard curve. Relative quantification relates the PCR signal of the target transcript in a treatment group to that of another sample such as an untreated control. The 2(-Delta Delta C(T)) method is a convenient way to analyze the relative changes in gene expression from real-time quantitative PCR experiments. The purpose of this report is to present the derivation, assumptions, and applications of the 2(-Delta Delta C(T)) method. In addition, we present the derivation and applications of two variations of the 2(-Delta Delta C(T)) method that may be useful in the analysis of real-time, quantitative PCR data. Copyright 2001 Elsevier Science (USA).
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            Biofilm dispersion and quorum sensing.

            Biofilm development and quorum sensing (QS) are closely interconnected processes. Biofilm formation is a cooperative group behaviour that involves bacterial populations living embedded in a self-produced extracellular matrix. QS is a cell-cell communication mechanism that synchronizes gene expression in response to population cell density. Intuitively, it would appear that QS might coordinate the switch to a biofilm lifestyle when the population density reaches a threshold level. However, compelling evidence obtained in different bacterial species coincides in that activation of QS occurs in the formed biofilm and activates the maturation and disassembly of the biofilm in a coordinate manner. The aim of this review is to illustrate, using four bacterial pathogens as examples, the emergent concept that QS activates the biofilm dispersion process. Copyright © 2014 Elsevier Ltd. All rights reserved.
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              Biofilm formation and food safety in food industries

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                Author and article information

                Contributors
                Journal
                Front Microbiol
                Front Microbiol
                Front. Microbiol.
                Frontiers in Microbiology
                Frontiers Media S.A.
                1664-302X
                14 January 2021
                2020
                : 11
                : 617473
                Affiliations
                [1] 1 Lab of Beef Processing and Quality Control, College of Food Science and Engineering, Shandong Agricultural University , Tai’an, China
                [2] 2 National R&D Center for Beef Processing Technology , Tai’an, China
                [3] 3 Jiangsu Synergetic Innovation Center of Meat Production and Processing Quality and Safety Control , Nanjing, China
                Author notes

                Edited by: Yang Deng, Qingdao Agricultural University, China

                Reviewed by: Abhinav Upadhyay, University of Connecticut, United States; Xiaodong Xia, Northwest A & F University, China; Arumugam Veera Ravi, Alagappa University, India

                *Correspondence: Yimin Zhang, ymzhang@ 123456sdau.edu.cn

                This article was submitted to Food Microbiology, a section of the journal Frontiers in Microbiology

                Article
                10.3389/fmicb.2020.617473
                7840700
                33519777
                00d17f16-4bf5-4cff-a196-2dd7bec2b3af
                Copyright © 2021 Liu, Wu, Han, Dong, Luo, Zhang and Zhu.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 14 October 2020
                : 18 December 2020
                Page count
                Figures: 5, Tables: 2, Equations: 0, References: 42, Pages: 12, Words: 7361
                Funding
                Funded by: China Agriculture Research System (beef)
                Award ID: CARS-37
                Funded by: Shandong Province Agricultural Innovation Team
                Award ID: SDAIT-09-09
                Funded by: A special intergovernmental project for international cooperation in Science, Technology and Innovation
                Award ID: 2019YFE0103800
                Categories
                Microbiology
                Original Research

                Microbiology & Virology
                listeria monocytogenes,anti-biofilm mechanism,gene expression,quorum sensing,microscopic examinations

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