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This content will become publicly available on October 6, 2026

Title: Keep Your Friends Close and Your Enemies Distant: Partner Choice Can Enable Parasite Exclusion in Endosymbiotic Coevolution
Understanding how endosymbiont–host relationships evolve to be mutually beneficial better equips us to predict the future evolutionary course of existing and nascent mutualisms. One mechanism known to influence the evolution of mutualistic endosymbiosis is partner choice, wherein hosts preferentially accept a particular class of partner. However, the extent to which adding partner choice to a system promotes the evolution of mutualism is unknown. In this work, we investigate how partner choice selectivity affects the evolutionary stability and de novo evolution of mutualism. To do so, we implemented tag (i.e. an evolvable label) matching as a mechanism for partner choice in a host–endosymbiont coevolutionary context. We then measured the levels of endosymbiotic mutualism that evolved under a range of partner choice selectivity, tag mutation rates, and endosymbiont vertical transmission rates. Our results demonstrate that tag matching can be effective as an evolvable mechanism for partner choice, due to mutualists and hosts evolving to have more similar tags than parasites and hosts. In addition, we show that partner choice can facilitate the evolution of mutualism, but its specific influence depends on the permissiveness of hosts’ mechanism for partner choice. Specifically, we found ranges of partner selectivity and tag mutation rates that enabled the de novo evolution of exclusive mutualism (i.e. parasites went completely extinct), while other selectivity and mutation rate parameterizations led to coexistence of mutualists and parasites or prevented the evolution and maintenance of mutualisms. These findings pave the way for more precisely engineering systems to promote mutualism.  more » « less
Award ID(s):
2414125 2414126
PAR ID:
10649836
Author(s) / Creator(s):
; ; ; ;
Editor(s):
Witkowski, Olaf; Adams, Alyssa M; Sinapayen, Lana; Baltieri, Manuel; Khosravy, Mahdi
Publisher / Repository:
Artificial Life Conference Proceedings
Date Published:
Page Range / eLocation ID:
pp. 57
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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