2023
DOI: 10.1590/2358-2936e2023004
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Phenotypic variability in the shield morphology of wild- vs. lab-reared eumalacostracan larvae

Abstract: Morphological identification of planktic crustacean larvae is required in many scientific contexts, such as ecology or taxonomy. Due to a still low availability of genetic sequences for many ingroups of Eumalacostraca, this task is still more feasible by morphological methods. Our understanding of eumalacostracan larval morphology is challenged by phenotypic variability. We investigated four eumalacostracan ingroups: Galatheidae, Hippoidea, Raninidae and Stomatopoda. Representatives of all four groups develop … Show more

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Cited by 4 publications
(5 citation statements)
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“…However, this divergent pattern could simply be an artifact of the earlier described diversity differences between true and false crabs. In any case, these results highlight the importance of larvae for biodiversity studies, which are often still overlooked 38,40 .…”
Section: Patterns Of Divergence In the Evolution Of Meiuramentioning
confidence: 73%
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“…However, this divergent pattern could simply be an artifact of the earlier described diversity differences between true and false crabs. In any case, these results highlight the importance of larvae for biodiversity studies, which are often still overlooked 38,40 .…”
Section: Patterns Of Divergence In the Evolution Of Meiuramentioning
confidence: 73%
“…Material used for this study originated from published images and reconstruction drawings in literature, open databases, collections, and museums. Some of the material was documented and published by the authors (for documentation methods, see Eiler et al 50 ) 40 , 51 , 52 . Our material included extant and fossil species of Meiura.…”
Section: Methodsmentioning
confidence: 99%
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“…We used a Canon Rebel T3i digital camera with a MP-E 65 mm macro lens and distance rings. We used a Yongnuo YN24EX twin-flash equipped with polarization filters and a cross-polarized filter in front of the camera lens, to reduce light-reflection induced artefacts (for a detailed description see Eiler et al, 2016;Braig et al, 2023a).…”
Section: Generation Of Datamentioning
confidence: 99%
“…This decomposition involved representing the outline as a harmonic sum of trigonometric functions, with the shape described by weighted harmonic coefficients [174,175]. We aligned, centred, and scaled the harmonic coefficients and then used a principal component analysis (PCA) to extract the dimensions of the largest variation [175][176][177].…”
Section: Shape Analysismentioning
confidence: 99%