High-Throughput Screening of Microbial Isolates with Impact on Caenorhabditis elegans Health

Ali, I. and Martin, J. and Zárate-Potes, A. and Benedetto, A. (2022) High-Throughput Screening of Microbial Isolates with Impact on Caenorhabditis elegans Health. Journal of Visualized Experiments, 2022 (182). ISSN 1940-087X

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Abstract

With its small size, short lifespan, and easy genetics, Caenorhabditis elegans offers a convenient platform to study the impact of microbial isolates on host physiology. It also fluoresces in blue when dying, providing a convenient means of pinpointing death. This property has been exploited to develop high-throughput label-free C. elegans survival assays (LFASS). These involve time-lapse fluorescence recording of worm populations set in multiwell plates, from which population median time of death can be derived. The present study adopts the LFASS approach to screen multiple microbial isolates at once for the effects on C. elegans susceptibility to severe heat and oxidative stresses. Such microbial screening pipeline, which can notably be used to prescreen probiotics, using severe stress resistance as a proxy for host health is reported here. The protocol describes how to grow both C. elegans gut microbiota isolate collections and synchronous worm populations in multiwell arrays before combining them for the assays. The example provided covers the testing of 47 bacterial isolates and one control strain on two worm strains, in two stress assays in parallel. However, the approach pipeline is readily scalable and applicable to the screening of many other modalities. Thus, it provides a versatile setup to rapidly survey a multiparametric landscape of biological and biochemical conditions that impact C. elegans health.

Item Type:
Journal Article
Journal or Publication Title:
Journal of Visualized Experiments
Additional Information:
Export Date: 26 May 2022
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2800
Subjects:
?? BIOCHEMISTRY, GENETICS AND MOLECULAR BIOLOGY(ALL)MEDICINE(ALL)IMMUNOLOGY AND MICROBIOLOGY(ALL)CHEMICAL ENGINEERING(ALL)NEUROSCIENCE(ALL) ??
ID Code:
172177
Deposited By:
Deposited On:
05 Aug 2022 11:35
Refereed?:
Yes
Published?:
Published
Last Modified:
14 Oct 2023 00:48