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Detalle de: A dataset comprising four micro-computed tomography scans of freshly fixed and museum earthworm specimens

Title A dataset comprising four micro-computed tomography scans of freshly fixed and museum earthworm specimens
Abstract

Background Although molecular tools are increasingly employed to decipher invertebrate systematics, earthworm (Annelida: Clitellata: ‘Oligochaeta') taxonomy is still largely based on conventional dissection, resulting in data that are mostly unsuitable for dissemination through online databases. In order to evaluate if micro-computed tomography (μCT) in combination with soft tissue staining techniques could be used to expand the existing set of tools available for studying internal and external structures of earthworms, μCT scans of freshly fixed and museum specimens were gathered. Findings Scout images revealed full penetration of tissues by the staining agent. The attained isotropic voxel resolutions permit identification of internal and external structures conventionally used in earthworm taxonomy. The μCT projection and reconstruction images have been deposited in the online data repository GigaDB and are publicly available for download. Conclusions The dataset presented here shows that earthworms constitute suitable candidates for μCT scanning in combination with soft tissue staining. Not only are the data comparable to results derived from traditional dissection techniques, but due to their digital nature the data also permit computer-based interactive exploration of earthworm morphology and anatomy. The approach pursued here can be applied to freshly fixed as well as museum specimens, which is of particular importance when considering the use of rare or valuable material. Finally, a number of aspects related to the deposition of digital morphological data are briefly discussed.

Apa Reference Lenihan, J., Kvist, S., Fernández, R., Giribet, G. & Ziegler, A. (2014). A dataset comprising four micro-computed tomography scans of freshly fixed and museum earthworm specimens. Gigascience, 3(1). 10.1186/2047-217X-3-6
Doi 10.1186/2047-217X-3-6
Publication Date 16 May 2014
Publication Type Article
Researcher Rosa Fernandez García
Ontology Biological Databases, Data Repositories, Invertebrates
Research Groups
Tools

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