Biology Faculty Articles

Title

A Potential Tradeoff Between Feeding Rate and Aversive Learning Determines Intoxication in a Caenorhabditis elegans Host-Pathogen System

Document Type

Article

Publication Date

1-31-2020

Publication Title

Microbes and Infection

Keywords

Evolutionary tradeoff, Acylhomoserine lactone, Avoidance, Crystal toxin protein, Feeding rate, Learning deficient

ISSN

1286-4579

First Page

1

Last Page

9

Abstract

Despite being the first line of defense against infection, little is known about how host-pathogen interactions determine avoidance. Caenorhabditis elegans can become infected by chemoattractant-producing bacteria through ingestion. The worms can learn to associate these chemoattractants with harm through aversive learning. As a result, the worms will avoid the pathogen. Evolutionary constraints have likely shaped the attraction, intoxication and learning dynamics between bacteria and C. elegans, but these have not been explored. Using bacteria engineered to express an acylhomoserine lactone chemoattractant and a nematicidal protein, we explored how manipulating the amount of attractant produced by the bacteria affects learning and intoxication in mixed stage populations of C. elegans. We found that increasing the production rate of the chemoattractant increased the feeding rate in C. elegans, but decreased the time required for C. elegans to learn to avoid the chemoattractant. Learning generally coincided with a decreased feeding rate. We also observed that the percentage of intoxicated worms was maximized at intermediate production rates of the attractant. We propose that interactions between attractant driven feeding rate and aversive learning are likely responsible for this trend. Our results increase our understanding of behavioral avoidance in C. elegans and have implications in understanding host-pathogen dynamics that shape avoidance.

Comments

©2020 Institut Pasteur. Published by Elsevier Masson SAS. All rights reserved.

Additional Comments

President's Faculty Research and Development grant #: 335318; NIH Office of Research Infrastructure program #: P40 OD010440

ORCID ID

0000-0002-4900-3099

DOI

10.1016/j.micinf.2020.01.002

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