2015
DOI: 10.1371/journal.pbio.1002123
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Convergent Evolution of Mechanically Optimal Locomotion in Aquatic Invertebrates and Vertebrates

Abstract: Examples of animals evolving similar traits despite the absence of that trait in the last common ancestor, such as the wing and camera-type lens eye in vertebrates and invertebrates, are called cases of convergent evolution. Instances of convergent evolution of locomotory patterns that quantitatively agree with the mechanically optimal solution are very rare. Here, we show that, with respect to a very diverse group of aquatic animals, a mechanically optimal method of swimming with elongated fins has evolved in… Show more

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Cited by 45 publications
(32 citation statements)
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“…In fact, the kinematics of how propulsors bend while moving to generate thrust are remarkably similar among most animals that swim or fly (Bale et al, 2015;Lucas et al, 2014). This suggests that the role that bending kinematics play in generating thrust is similar among swimming and flying animals.…”
Section: Introductionmentioning
confidence: 94%
“…In fact, the kinematics of how propulsors bend while moving to generate thrust are remarkably similar among most animals that swim or fly (Bale et al, 2015;Lucas et al, 2014). This suggests that the role that bending kinematics play in generating thrust is similar among swimming and flying animals.…”
Section: Introductionmentioning
confidence: 94%
“…2C) in proximity to siphonophores (Benfield et al, 2009) has provided evidence of their remarkable swimming ability, which may help them to manoeuvre when they steal food from these cnidarians, while ROV video of the dorsal fin undulations of the oarfish Regalecus glesne (Ascanius, 1772) ( Fig. 2D) has provided biomechanical insights into how these, and other species of fishes, use their fins as linear propellers (Bale et al, 2015).…”
Section: Q1 How Do Organisms Behave In Deep Water Environments?mentioning
confidence: 99%
“…This approach was further extended by Griffith et al [6] to use adaptive mesh refinement. This methodology has enabled modeling in a number of application areas, including cardiac dynamics [7,8,9,10,11,12,13,14,15], platelet adhesion [16], esophageal transport [17,18,19], heart development [20,21], insect flight [22,23], and undulatory swimming [24,25,26,27,28,29,30].…”
Section: Introduction and Overviewmentioning
confidence: 99%