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A Diffusion Gradient Chamber for Studying Microbial Behavior and Separating Microorganisms

机译:研究微生物行为和分离微生物的扩散梯度室

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摘要

The natural habitats of most microbes are dynamic and include spatial gradients of growth substrates, electron acceptors, pH, salts, and inhibitory compounds. To mimic this diffusive aspect of nature, we developed an analytical diffusion gradient chamber (DGC) that can be used to separate, enrich for, isolate, and study the behavior of microorganisms. The chamber is a polycarbonate box containing an arena (5 by 5 by 2 cm) into which is cast a semisolid growth medium. Continuously replenished solute reservoirs positioned on each side of the arena but separated from it by a porous membrane enable the formation throughout the gel of multiple, intersecting gradients of solutes in two dimensions. With glucose as the solute, a gradient which spanned a 100-fold range in concentration was established across the arena in about 4 days. The shape of the glucose gradient was accurately predicted by a mathematical model based on Fickian diffusion. The growth and migratory behavior of Escherichia coli in response to imposed gradients of attractants (aspartate, α-methyl aspartate, and serine) and a repellent (valine) were examined. Cells responded in predictable ways to such gradients by forming distinctive growth and migration patterns in the DGC. This was true for wild-type E. coli as well as specific chemotaxis and motility mutants. The patterns yielded information about the threshold concentration of chemoeffectors needed to elicit a response as well as their saturating concentration. It was also evident that the metabolism of attractants significantly affected the gradients and, hence, the movement of cells. Finally, it was possible to separate E. coli and Pseudomonas fluorescens in the DGC on the basis of their differential responses to gradients of various chemoeffectors.
机译:大多数微生物的自然栖息地是动态的,并且包括生长底物,电子受体,pH,盐和抑制性化合物的空间梯度。为了模拟自然界的这种扩散方面,我们开发了一种分析扩散梯度室(DGC),可用于分离,富集,分离和研究微生物的行为。腔室是一个聚碳酸酯容器,其中装有一个竞技场(5 x 5 x 2厘米),在其中浇铸了半固体生长培养基。连续补充的溶质储存库位于竞技场的每一侧,但通过多孔膜与之隔离,因此可以在整个凝胶中形成二维的多个相交的溶质梯度。以葡萄糖为溶质,在整个竞技场中大约4天就建立了浓度跨度为100倍的梯度。通过基于菲克扩散的数学模型准确地预测了葡萄糖梯度的形状。检查了大肠杆菌对引诱剂(天冬氨酸,α-甲基天冬氨酸和丝氨酸)和驱避剂(缬氨酸)施加的梯度的生长和迁移行为。细胞通过在DGC中形成独特的生长和迁移模式,以可预测的方式对这种梯度作出反应。对于野生型大肠杆菌以及特定的趋化性和运动性突变体,这是正确的。这些模式产生了有关引起反应所需的化学效应子的阈值浓度及其饱和浓度的信息。同样明显的是,引诱剂的代谢显着影响梯度并因此影响细胞的运动。最终,有可能基于DGC中的大肠杆菌和荧光假单胞菌对各种化学效应物梯度的不同响应而分离。

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