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This protocol describes a quantitative approach to measure microbial autoaggregation using imaging flow cytometry.
Beneficial and probiotic bacteria play essential roles in their hosts, providing various health benefits, including immunity to infectious diseases. The Lactobacillaceae family consists of Gram-positive bacteria with confirmed probiotic properties. This study utilizes Lactobacillaceae species as a model to demonstrate the effectiveness of single-cell high throughput analysis in studying cellular aggregation. The focus is on analyzing the response of these beneficial species to simple carbohydrates from the diet.
The study showcases how Imaging Flow Cytometry (IFC) can overcome the fundamental differences in the assembly of probiotic bacteria in the presence and absence of carbohydrates. IFC combines the power and speed of conventional flow cytometry with the spatial resolution of microscopy, enabling high-rate complex morphometric measurements in a phenotypically defined manner across a library of beneficial bacterial strains and conditions. This protocol provides insights into the autoaggregation of Lactobacillaceae species and sheds light on their response to dietary carbohydrates, contributing to understanding the mechanisms behind the beneficial effects of these probiotic bacteria.
Bacterial autoaggregation is considered a primary step in biofilm formation. In this process (sometimes also called autoagglutination or flocculation), bacteria of the same type form multicellular clumps that eventually settle at the bottom of culture tubes or attach to their target tissue or surface1.
Autoaggregation is a widely observed phenomenon and has been shown so far in Gram-negative pathogens such as the opportunistic pathogen Acinetobacter baumannii2, the dental pathogen Aggregobacter actinomycetemcomitans3, and the emerging pathogen Burk....
The .ast file, with the template for Lacticaseibacillus rhamnosus GG (LGG) as an example, is provided in Supplementary Coding File 1.
1. Media preparation
The results demonstrate that this method can easily measure the differences in autoaggregation in response to dietary sugars in LAB bacteria. By separating individuals from aggregates, the method allows calculating the percentage of the population of the aggregation events out of all events in response to fermentable or non-fermentable sugars from the diet. Additionally, it was possible to measure if there are differences in the mean size of the aggregate's population between treatments.
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Flow cytometry is a widely used method for quantifying fluorescence intensities in eukaryotic cells, but it may not provide accurate measurements for bacterial cells due to their larger size or small aggregates. These factors can significantly impact the precise quantification of autoaggregation and the basal level of aggregate formation in different conditions. To address this, imaging flow cytometry (IFC) was employed to gain a better resolution of how carbohydrates affect the aggregation of probiotic bacteria
This work was supported by the Israeli Science Foundation (Grant 119/16) and IMoh grant (3-15656) to IKG. R.S. supported by the Kreitman fellowship.Â
....Name | Company | Catalog Number | Comments |
14 mL culture tubes | Falcon | 352051 | |
15 mL centrifuge tube | Falcon | 352096 | |
Bacto Agar | Baeton,Dickinson and Company | 214010 | |
Bacto Typtic Soy Broth | Baeton,Dickinson and Company | 211825 | |
D-(+)-Glucose | Sigma | G7021-1KG | |
D-(+)-Raffinose pentahydrate | Sigma | 83400-25G | |
Difco Lactobacilli MRS broth | Baeton,Dickinson and Company | 288130 | |
EASY-LOCK MICROPR. 1.5 mL (Eppendorf) | FL medical | 23053 | |
IDEAS Software | Amnis/EMD Millipore | N/A | Â Details available at: https://www.merckmillipore.com/INTL/en/20150212_144049?ReferrerURL=https%3A%2F%2Fwww.google.com%2F&bd=1 |
ImageStream X Mark II | Amnis/EMD Millipore | N/A | Â Details available at: https://www.merckmillipore.com/INTL/en/20150121_205948?ReferrerURL=https%3A%2F%2Fwww.google.com%2F |
MOPS, 3-(N-morpholino)propanesulfonic acid | Fisher bioreagents | BP308-500 | |
Potassium phosphate dibasic | Fisher Scientific, 174.18 g/mol | BP363-1 | |
Potassium phosphate monobasic | Sigma, 136.09 g/mol | P0662-500G |
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