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Surf and turf vision: Patterns and predictors of visual acuity in compound eye evolution.

Authors :
Feller KD
Sharkey CR
McDuffee-Altekruse A
Bracken-Grissom HD
Lord NP
Porter ML
Schweikert LE
Source :
Arthropod structure & development [Arthropod Struct Dev] 2021 Jan; Vol. 60, pp. 101002. Date of Electronic Publication: 2020 Nov 13.
Publication Year :
2021

Abstract

Eyes have the flexibility to evolve to meet the ecological demands of their users. Relative to camera-type eyes, the fundamental limits of optical diffraction in arthropod compound eyes restrict the ability to resolve fine detail (visual acuity) to much lower degrees. We tested the capacity of several ecological factors to predict arthropod visual acuity, while simultaneously controlling for shared phylogenetic history. In this study, we have generated the most comprehensive review of compound eye visual acuity measurements to date, containing 385 species that span six of the major arthropod classes. An arthropod phylogeny, made custom to this database, was used to develop a phylogenetically-corrected generalized least squares (PGLS) linear model to evaluate four ecological factors predicted to underlie compound eye visual acuity: environmental light intensity, foraging strategy (predator vs. non-predator), horizontal structure of the visual scene, and environmental medium (air vs. water). To account for optical constraints on acuity related to animal size, body length was also included, but this did not show a significant effect in any of our models. Rather, the PGLS analysis revealed that the strongest predictors of compound eye acuity are described by a combination of environmental medium, foraging strategy, and environmental light intensity.<br /> (Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Details

Language :
English
ISSN :
1873-5495
Volume :
60
Database :
MEDLINE
Journal :
Arthropod structure & development
Publication Type :
Academic Journal
Accession number :
33191145
Full Text :
https://doi.org/10.1016/j.asd.2020.101002