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ZENODO
Dataset . 2011
License: CC 0
Data sources: ZENODO
DRYAD
Dataset . 2011
License: CC 0
Data sources: Datacite
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Data from: Brain plasticity over the metamorphic boundary: carry-over effect of larval environment on froglet brain development

Authors: Trokovic, Nina; Gonda, Abigél; Herczeg, Gábor; Laurila, Anssi; Merilä, Juha;

Data from: Brain plasticity over the metamorphic boundary: carry-over effect of larval environment on froglet brain development

Abstract

metamorph brainsExperimental treatments included low and high larval density, crossed with the presence and absence of a caged predator. 100 tadpoles from each of the 12 clutches were pooled into a bucket and allocated to each tank (high density = 50 tadpoles/tank; low density = 10 tadpoles/tank). In tanks with the predator treatments, one dragonfly larva (Aeshna sp.) was placed in a cylindrical cage (diameter 8 cm; height 21 cm) made of transparent plastic film with a double net bottom (mesh size 1.5 mm) and hung 6 cm over the tank bottom. This allowed tadpoles to receive both visual and chemical cues from the predator, while the predator was unable to actually prey on tadpoles. In the no-predator treatment, the cage was left empty. During the experiment, tadpoles relied on the initial resources provided (leaves, rabbit pellets), as well as subsequent algal growth. Each treatment combination was replicated eight times, resulting in a total of 32 experimental units. 143 metamorphs (four to five per tank) were used for analyses. Formalin fixed metamorphs were weighed with a digital balance. After dissection, dorsal and right lateral views of brains were photographed with a digital camera connected to a dissecting microscope. We could only measure two dimensions for each brain part (length and width of telencephalon, diencephalon and optic tectum, and height and width of medulla oblongata) because some of the borders of the brain parts could not be identified accurately. Measurements were taken from digital photographs using tpsDig 1.37 software, and were defined as the greatest distance enclosed by the given structure in the given direction. All brains were photographed and measured three times. Repeatability of different brain measurements was high (R = 0.71 – 0.96 [mean = 0.86]).ALL metamorph brains.xlsMetamorphs body weight143 metamorphs (four to five per tank) were used for analyses. Formalin fixed metamorphs were weighed with a digital balance.bodySizeWeightMetamorphs1.xls

Brain development shows high plasticity in response to environmental heterogeneity. However, it is unknown how environmental variation during development may affect brain architecture across life history switch points in species with complex life cycles. Previously, we showed that predation and competition affect brain development in common frog (Rana temporaria) tadpoles. Here, we studied if larval environment had carry-over effects in brains of metamorphs. Tadpoles grown at high density had large optic tecta at metamorphosis, while tadpoles grown under predation risk had small diencephala. We found that larval density had a carry-over effect on froglet optic tectum size, while the effect of larval predation risk had vanished by metamorphosis. We discuss the possibility that the observed changes may be adaptive, reflecting the needs of an organism in given environmental and developmental contexts.

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Keywords

Metamorphosis, metamorphosis, Brain size, Rana temporaria, Tadpole

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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