Cargando…
Better tired than lost: Turtle ant trail networks favor coherence over short edges
Creating a routing backbone is a fundamental problem in both biology and engineering. The routing backbone of the trail networks of arboreal turtle ants (Cephalotes goniodontus) connects many nests and food sources using trail pheromone deposited by ants as they walk. Unlike species that forage on t...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8562808/ https://www.ncbi.nlm.nih.gov/pubmed/34673768 http://dx.doi.org/10.1371/journal.pcbi.1009523 |
_version_ | 1784593316883464192 |
---|---|
author | Chandrasekhar, Arjun Marshall, James A. R. Austin, Cortnea Navlakha, Saket Gordon, Deborah M. |
author_facet | Chandrasekhar, Arjun Marshall, James A. R. Austin, Cortnea Navlakha, Saket Gordon, Deborah M. |
author_sort | Chandrasekhar, Arjun |
collection | PubMed |
description | Creating a routing backbone is a fundamental problem in both biology and engineering. The routing backbone of the trail networks of arboreal turtle ants (Cephalotes goniodontus) connects many nests and food sources using trail pheromone deposited by ants as they walk. Unlike species that forage on the ground, the trail networks of arboreal ants are constrained by the vegetation. We examined what objectives the trail networks meet by comparing the observed ant trail networks with networks of random, hypothetical trail networks in the same surrounding vegetation and with trails optimized for four objectives: minimizing path length, minimizing average edge length, minimizing number of nodes, and minimizing opportunities to get lost. The ants’ trails minimized path length by minimizing the number of nodes traversed rather than choosing short edges. In addition, the ants’ trails reduced the opportunity for ants to get lost at each node, favoring nodes with 3D configurations most likely to be reinforced by pheromone. Thus, rather than finding the shortest edges, turtle ant trail networks take advantage of natural variation in the environment to favor coherence, keeping the ants together on the trails. |
format | Online Article Text |
id | pubmed-8562808 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-85628082021-11-03 Better tired than lost: Turtle ant trail networks favor coherence over short edges Chandrasekhar, Arjun Marshall, James A. R. Austin, Cortnea Navlakha, Saket Gordon, Deborah M. PLoS Comput Biol Research Article Creating a routing backbone is a fundamental problem in both biology and engineering. The routing backbone of the trail networks of arboreal turtle ants (Cephalotes goniodontus) connects many nests and food sources using trail pheromone deposited by ants as they walk. Unlike species that forage on the ground, the trail networks of arboreal ants are constrained by the vegetation. We examined what objectives the trail networks meet by comparing the observed ant trail networks with networks of random, hypothetical trail networks in the same surrounding vegetation and with trails optimized for four objectives: minimizing path length, minimizing average edge length, minimizing number of nodes, and minimizing opportunities to get lost. The ants’ trails minimized path length by minimizing the number of nodes traversed rather than choosing short edges. In addition, the ants’ trails reduced the opportunity for ants to get lost at each node, favoring nodes with 3D configurations most likely to be reinforced by pheromone. Thus, rather than finding the shortest edges, turtle ant trail networks take advantage of natural variation in the environment to favor coherence, keeping the ants together on the trails. Public Library of Science 2021-10-21 /pmc/articles/PMC8562808/ /pubmed/34673768 http://dx.doi.org/10.1371/journal.pcbi.1009523 Text en © 2021 Chandrasekhar et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Chandrasekhar, Arjun Marshall, James A. R. Austin, Cortnea Navlakha, Saket Gordon, Deborah M. Better tired than lost: Turtle ant trail networks favor coherence over short edges |
title | Better tired than lost: Turtle ant trail networks favor coherence over short edges |
title_full | Better tired than lost: Turtle ant trail networks favor coherence over short edges |
title_fullStr | Better tired than lost: Turtle ant trail networks favor coherence over short edges |
title_full_unstemmed | Better tired than lost: Turtle ant trail networks favor coherence over short edges |
title_short | Better tired than lost: Turtle ant trail networks favor coherence over short edges |
title_sort | better tired than lost: turtle ant trail networks favor coherence over short edges |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8562808/ https://www.ncbi.nlm.nih.gov/pubmed/34673768 http://dx.doi.org/10.1371/journal.pcbi.1009523 |
work_keys_str_mv | AT chandrasekhararjun bettertiredthanlostturtleanttrailnetworksfavorcoherenceovershortedges AT marshalljamesar bettertiredthanlostturtleanttrailnetworksfavorcoherenceovershortedges AT austincortnea bettertiredthanlostturtleanttrailnetworksfavorcoherenceovershortedges AT navlakhasaket bettertiredthanlostturtleanttrailnetworksfavorcoherenceovershortedges AT gordondeborahm bettertiredthanlostturtleanttrailnetworksfavorcoherenceovershortedges |