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Multiple rod layers increase the speed and sensitivity of vision in nocturnal reef fishes

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DataONE2023-10-03 更新2025-07-19 收录
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Most vertebrates have one layer of the dim-light active rod photoreceptors. However, multiple rod layers, known as a multibank retina, can be found in over 100 species of fish, including several deep-sea species and one family of nocturnally active reef fish, the Holocentridae. Although seemingly associated with increased photon catch, the function of multibank retinas remained unknown. We used an integrative approach, combining histology, electrophysiology, and amino acid sequence analysis, applied to three species of nocturnal reef fishes, two holocentrids with a multibank retina (Neoniphon sammara and Myripristis violacea) and an apogonid with a single rod bank (Ostorhinchus compressus), to determine the sensory advantage of multiple rod layers. Our results showed that fish with multibank retinas have both faster vision and enhanced sensitivity to bright and dim light intensities. Faster vision was indicated by higher flicker fusion frequencies during temporal resolution electroretin..., Data are derived from electroretinograms recorded from individual nocturnal coral reef fish as described in the associated preprint.  Data are either normalised to the maximal response (Vmax) or to both the maximal response and eye size. Eye diameter (in millimetres) is given in an additional file., Files are given in tsv format. No proprietary software is required to open the files or manipulate the data., This README.md file is for he dataset \"Multiple rod layers increase the speed and sensitivity of vision in nocturnal reef fishes\" The associated preprint can be accessed at: https://www.biorxiv.org/content/10.1101/2022.11.27.518067v1 Dataset Contributors: Lily Fogg, Wen-Sung Chung, N. Justin Marshall, Fabio Cortesi, Fanny de Busserolles Date Created: 2023.02.09 Date Updated: 2023.10.03 License: Use of these data is covered by the CC0 license Contact Information Name: Affiliations: Queensland Brain Institute University: University of Queensland, Brisbane, Australia ORCID ID: 0000-0002-5378-8781 Email: lily.fogg@uqconnect.edu.au Alternate Email: lily.fogg@unibas.ch Address: e-mail preferred *** ### Additional dataset metadata #### Format All data files are given as tsv or csv files (file type is indicated in the description of individual data files below). All files can be opened in Microsoft Excel or an alternative non-proprietary software. No unpacking of the data is required. Not...
创建时间:
2025-07-15
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