Engineered Membrane Vesicle Production via oprF or oprI Deletion Has Distinct Phenotypic Effects in Pseudomonas putida.

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
ACS Synthetic Biology Pub Date : 2025-07-18 Epub Date: 2025-07-03 DOI:10.1021/acssynbio.5c00171
Rebecca A Wilkes, Tarryn E Miller, Jacob Waldbauer, Nanqing Zhou, Lichun Zhang, Beth N DiBiase, Neha P Kamat, Ludmilla Aristilde, Gregg T Beckham, Allison Z Werner
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Abstract

Membrane vesicle (MV) production is a natural phenomenon in Gram-negative bacteria and represents an emerging synthetic biology tool for the secretion of biomolecules or bioproducts. Manipulation of membrane components has proven successful in enhancing MV production. However, the impact of membrane disruptions on strain fitness and protein composition warrants further investigation for the use of MVs in industrial bioprocesses. Here, we identify and characterize two genetic engineering strategies for inducing hypervesiculation─deletion of genes for the outer membrane porin OprF or the lipoprotein OprI─in the commonly used platform Pseudomonas putida KT2440. Deletion of oprI generated up to a 1.5-fold increase in MVs, larger MVs with a greater proportion of outer membrane proteins, and no significant impact on strain fitness compared to wild type. In contrast, deletion of oprF, relative to wild type, generated up to a 4-fold increase in MVs but diminished growth, permeabilized membranes, and increased cytosolic protein packaging. Both hypervesiculation phenotypes increased nontargeted and MV-targeted mNeonGreen extracellular signal by up to 6-fold, demonstrating vesiculation as a mechanism for protein secretion. Despite increased blebbing of MVs from gene deletions, proteins involved in membrane biosynthesis were not elevated relative to wild type. Overexpression of gpsA, which initiates glycerophospholipid biosynthesis, in the ΔoprF background improved the membrane integrity by 37% and maintained MV formation, highlighting the importance of membrane biosynthesis in restoring the membrane in hypervesiculating strains. Together, this study provides genetic engineering strategies with corresponding phenotypic outcomes toward providing a synthetic biology toolset for MV deployment in P. putida.

通过oprF或oprI缺失产生工程膜泡在恶臭假单胞菌中具有不同的表型效应。
膜囊泡(MV)的产生是革兰氏阴性菌的一种自然现象,是一种新兴的合成生物学工具,用于分泌生物分子或生物制品。操作膜成分已被证明是成功的,以提高MV的生产。然而,膜破坏对菌株适应性和蛋白质组成的影响值得进一步研究,以便在工业生物过程中使用mv。在这里,我们确定并描述了两种诱导多泡化的基因工程策略──在常用的平台恶臭假单胞菌KT2440中删除外膜孔蛋白OprF或脂蛋白OprI的基因。与野生型相比,oprI的缺失使MVs增加了1.5倍,更大的MVs和更大的外膜蛋白比例,对菌株适应度没有显著影响。相比之下,与野生型相比,oprF的缺失使MVs增加了4倍,但减少了生长,渗透膜,增加了细胞质蛋白包装。两种多泡表型均将非靶向和mv靶向的mNeonGreen细胞外信号增加高达6倍,表明多泡是蛋白质分泌的机制。尽管基因缺失增加了mv的起泡,但与野生型相比,参与膜生物合成的蛋白质并未升高。在ΔoprF背景下,gpsA的过表达,启动甘油磷脂的生物合成,使膜的完整性提高了37%,并维持了MV的形成,突出了膜生物合成在高泡菌株中恢复膜的重要性。总之,本研究提供了具有相应表型结果的基因工程策略,为恶臭假单胞菌的MV部署提供了合成生物学工具集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
8.00
自引率
10.60%
发文量
380
审稿时长
6-12 weeks
期刊介绍: The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.
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