Modeling the Migration and Growth of Shewanella Oneidensis MR-1 in a Diffusion-Dominated Microfluidic Gradient Chamber Under the Influence of an Antibiotic Concentration Gradient

IF 3.6 2区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Biotechnology and Bioengineering Pub Date : 2025-04-16 DOI:10.1002/bit.28991
Somayeh G. Esfahani, Reinaldo E. Alcalde, Albert J. Valocchi, Robert A. Sanford, Charles J. Werth
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Abstract

Motility and chemotaxis allow bacteria to migrate from areas that become depleted in energy yielding substrates to more favorable locations, possibly enhancing the biodegradation of pollutants in soil and groundwater. However, in some cases substrates are co-mingled with one or more toxic solutes that inhibit pollutant degradation and/or microbial growth, and the impacts on motility and chemotaxis represent a knowledge gap. In this study, a one-dimensional diffusion reaction model is developed and used to simulate dissimilatory biological reduction of nitrate to ammonia (DNRA) presented in a previously published microfluidic gradient chamber (MGC) experiment, where spatial abundances of Shewanella oneidensis MR-1 cells were recorded over 5 days in a diffusion limited porous media domain as it degraded nitrate and lactate introduced from opposite boundaries, and at one boundary co-mixed with the antibiotic ciprofloxacin. The model considers S. oneidensis chemotaxis toward nitrate and nitrite, random motility, and growth inhibition by ciprofloxacin. Parameters were adjusted within ranges commonly reported in the literature to obtain results that agreed with the data. Simulation results indicate that motility and not chemotaxis, in combination with inhibition of cell growth by ciprofloxacin, controls the distribution of cells in the toxic region (containing ciprofloxacin) of the MGC. This suggests that cell motility may facilitate nitrate removal in soil and groundwater by enabling microorganisms to migrate toward nitrate contaminated regions with elevated antibiotic concentrations.

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在抗生素浓度梯度的影响下,在扩散为主的微流控梯度室中模拟奥氏希瓦氏菌MR-1的迁移和生长
运动性和趋化性可使细菌从能量基质枯竭的区域迁移到更有利的位置,从而可能促进土壤和地下水中污染物的生物降解。然而,在某些情况下,基质与一种或多种有毒溶质混合在一起,会抑制污染物降解和/或微生物生长,对运动性和趋化性的影响是一个知识空白。本研究建立了一个一维扩散反应模型,并将其用于模拟之前发表的微流控梯度室(MGC)实验中的硝酸盐到氨(DNRA)的异纤生物还原(Dissimilatory biological reduction of nitrate to ammonia),在该实验中,当 Shewanella oneidensis MR-1 细胞降解从相对边界引入的硝酸盐和乳酸盐,并在一个边界与抗生素环丙沙星混合时,记录了其在扩散受限多孔介质域中 5 天的空间丰度。该模型考虑了 S. oneidensis 对硝酸盐和亚硝酸盐的趋化作用、随机运动以及环丙沙星的生长抑制作用。在文献报道的常用范围内对参数进行了调整,以获得与数据一致的结果。模拟结果表明,在环丙沙星抑制细胞生长的作用下,细胞运动(而非趋化作用)控制着 MGC 有毒区域(含有环丙沙星)的细胞分布。这表明,细胞运动可使微生物迁移到抗生素浓度升高的硝酸盐污染区域,从而促进土壤和地下水中硝酸盐的去除。
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来源期刊
Biotechnology and Bioengineering
Biotechnology and Bioengineering 工程技术-生物工程与应用微生物
CiteScore
7.90
自引率
5.30%
发文量
280
审稿时长
2.1 months
期刊介绍: Biotechnology & Bioengineering publishes Perspectives, Articles, Reviews, Mini-Reviews, and Communications to the Editor that embrace all aspects of biotechnology. These include: -Enzyme systems and their applications, including enzyme reactors, purification, and applied aspects of protein engineering -Animal-cell biotechnology, including media development -Applied aspects of cellular physiology, metabolism, and energetics -Biocatalysis and applied enzymology, including enzyme reactors, protein engineering, and nanobiotechnology -Biothermodynamics -Biofuels, including biomass and renewable resource engineering -Biomaterials, including delivery systems and materials for tissue engineering -Bioprocess engineering, including kinetics and modeling of biological systems, transport phenomena in bioreactors, bioreactor design, monitoring, and control -Biosensors and instrumentation -Computational and systems biology, including bioinformatics and genomic/proteomic studies -Environmental biotechnology, including biofilms, algal systems, and bioremediation -Metabolic and cellular engineering -Plant-cell biotechnology -Spectroscopic and other analytical techniques for biotechnological applications -Synthetic biology -Tissue engineering, stem-cell bioengineering, regenerative medicine, gene therapy and delivery systems The editors will consider papers for publication based on novelty, their immediate or future impact on biotechnological processes, and their contribution to the advancement of biochemical engineering science. Submission of papers dealing with routine aspects of bioprocessing, description of established equipment, and routine applications of established methodologies (e.g., control strategies, modeling, experimental methods) is discouraged. Theoretical papers will be judged based on the novelty of the approach and their potential impact, or on their novel capability to predict and elucidate experimental observations.
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