Symbiosis in Digital Evolution: Past, Present, and Future

Symbiosis, the living together of unlike organisms as symbionts, is ubiquitous in the natural world. Symbioses occur within and across all scales of life, from microbial to macro-faunal systems. Further, the interactions between symbionts are multimodal in both strength and type, can span from paras...

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Autores principales: Anya E. Vostinar, Katherine G. Skocelas, Alexander Lalejini, Luis Zaman
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Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
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Acceso en línea:https://doaj.org/article/c23707a4c7da47048aef4283e6879c15
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spelling oai:doaj.org-article:c23707a4c7da47048aef4283e6879c152021-11-05T15:16:33ZSymbiosis in Digital Evolution: Past, Present, and Future2296-701X10.3389/fevo.2021.739047https://doaj.org/article/c23707a4c7da47048aef4283e6879c152021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fevo.2021.739047/fullhttps://doaj.org/toc/2296-701XSymbiosis, the living together of unlike organisms as symbionts, is ubiquitous in the natural world. Symbioses occur within and across all scales of life, from microbial to macro-faunal systems. Further, the interactions between symbionts are multimodal in both strength and type, can span from parasitic to mutualistic within one partnership, and persist over generations. Studying the ecological and evolutionary dynamics of symbiosis in natural or laboratory systems poses a wide range of challenges, including the long time scales at which symbioses evolve de novo, the limited capacity to experimentally control symbiotic interactions, the weak resolution at which we can quantify interactions, and the idiosyncrasies of current model systems. These issues are especially challenging when seeking to understand the ecological effects and evolutionary pressures on and of a symbiosis, such as how a symbiosis may shift between parasitic and mutualistic modes and how that shift impacts the dynamics of the partner population. In digital evolution, populations of computational organisms compete, mutate, and evolve in a virtual environment. Digital evolution features perfect data tracking and allows for experimental manipulations that are impractical or impossible in natural systems. Furthermore, modern computational power allows experimenters to observe thousands of generations of evolution in minutes (as opposed to several months or years), which greatly expands the range of possible studies. As such, digital evolution is poised to become a keystone technique in our methodological repertoire for studying the ecological and evolutionary dynamics of symbioses. Here, we review how digital evolution has been used to study symbiosis, and we propose a series of open questions that digital evolution is well-positioned to answer.Anya E. VostinarKatherine G. SkocelasAlexander LalejiniLuis ZamanFrontiers Media S.A.articlesymbiosisdigital evolutionparasitismmutualismartificial lifeexperimental evolutionEvolutionQH359-425EcologyQH540-549.5ENFrontiers in Ecology and Evolution, Vol 9 (2021)
institution DOAJ
collection DOAJ
language EN
topic symbiosis
digital evolution
parasitism
mutualism
artificial life
experimental evolution
Evolution
QH359-425
Ecology
QH540-549.5
spellingShingle symbiosis
digital evolution
parasitism
mutualism
artificial life
experimental evolution
Evolution
QH359-425
Ecology
QH540-549.5
Anya E. Vostinar
Katherine G. Skocelas
Alexander Lalejini
Luis Zaman
Symbiosis in Digital Evolution: Past, Present, and Future
description Symbiosis, the living together of unlike organisms as symbionts, is ubiquitous in the natural world. Symbioses occur within and across all scales of life, from microbial to macro-faunal systems. Further, the interactions between symbionts are multimodal in both strength and type, can span from parasitic to mutualistic within one partnership, and persist over generations. Studying the ecological and evolutionary dynamics of symbiosis in natural or laboratory systems poses a wide range of challenges, including the long time scales at which symbioses evolve de novo, the limited capacity to experimentally control symbiotic interactions, the weak resolution at which we can quantify interactions, and the idiosyncrasies of current model systems. These issues are especially challenging when seeking to understand the ecological effects and evolutionary pressures on and of a symbiosis, such as how a symbiosis may shift between parasitic and mutualistic modes and how that shift impacts the dynamics of the partner population. In digital evolution, populations of computational organisms compete, mutate, and evolve in a virtual environment. Digital evolution features perfect data tracking and allows for experimental manipulations that are impractical or impossible in natural systems. Furthermore, modern computational power allows experimenters to observe thousands of generations of evolution in minutes (as opposed to several months or years), which greatly expands the range of possible studies. As such, digital evolution is poised to become a keystone technique in our methodological repertoire for studying the ecological and evolutionary dynamics of symbioses. Here, we review how digital evolution has been used to study symbiosis, and we propose a series of open questions that digital evolution is well-positioned to answer.
format article
author Anya E. Vostinar
Katherine G. Skocelas
Alexander Lalejini
Luis Zaman
author_facet Anya E. Vostinar
Katherine G. Skocelas
Alexander Lalejini
Luis Zaman
author_sort Anya E. Vostinar
title Symbiosis in Digital Evolution: Past, Present, and Future
title_short Symbiosis in Digital Evolution: Past, Present, and Future
title_full Symbiosis in Digital Evolution: Past, Present, and Future
title_fullStr Symbiosis in Digital Evolution: Past, Present, and Future
title_full_unstemmed Symbiosis in Digital Evolution: Past, Present, and Future
title_sort symbiosis in digital evolution: past, present, and future
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/c23707a4c7da47048aef4283e6879c15
work_keys_str_mv AT anyaevostinar symbiosisindigitalevolutionpastpresentandfuture
AT katherinegskocelas symbiosisindigitalevolutionpastpresentandfuture
AT alexanderlalejini symbiosisindigitalevolutionpastpresentandfuture
AT luiszaman symbiosisindigitalevolutionpastpresentandfuture
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