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Mineralized scale patterns on the cell periphery of the chrysophyte Mallomonas determined by comparative 3D Cryo-FIB SEM data processing
Institution:1. Institute of Biomaterials and Biomolecular Systems, Biobased Materials Group, University of Stuttgart, Pfaffenwaldring 57, 70569 Stuttgart, Germany;2. AMICA – Stuttgart Research Focus (SRF), University of Stuttgart, Pfaffenwaldring 32, 70569 Stuttgart, Germany;3. Carl Zeiss Microscopy GmbH, Carl-Zeiss-Straße 22, 73447 Oberkochen, Germany;4. High Performance Computing Center Stuttgart (HLRS), Nobelstr. 19, 70569 Stuttgart, Germany;5. Materials Testing Institute (MPA), University of Stuttgart, Pfaffenwaldring 32, 70569 Stuttgart, Germany;6. Stuttgart Research Center Systems Biology (SRCSB), University of Stuttgart, Stuttgart 70569, Germany;1. School of Chemistry, University of Edinburgh, King’s Buildings, Edinburgh EH9 3FJ, United Kingdom;2. Department of Biotechnology, Akita Prefectural University, 241-438 Kaidobata-Nishi Shimoshinjo-Nakano, Akita 010-0195, Japan;3. Electron Bio-Imaging Centre, Diamond Light Source Ltd., Harwell Science & Innovation Campus, Didcot OX11 0DE, United Kingdom;1. Hierarchically Structured Materials (HSM) Laboratory, Center for Energy Science and Technology (CEST), Skolkovo Institute of Science and Technology, Moscow, 121205, Russia;2. Limnological Institute, Siberian Branch, Russian Academy of Sciences, 3 Ulan-Batorskaya St., Irkutsk, 664033, Russia;3. MBLEM, Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, United Kingdom;1. Department of Botany, National Museum of Nature and Science, Tsukuba 305–0005, Japan;2. Graduate School of Natural Science, Konan University, Kobe 658–8501, Japan;3. Institute for Integrative Neurobiology, Konan University, Kobe 658–8501, Japan;4. Graduate School of Science and Engineering, Ehime University, Matsuyama 790–8577, Japan;5. Geodynamics Research Center, Ehime University, Matsuyama 790–8577, Japan;6. Graduate School of Fisheries Sciences, Hokkaido University, Hakodate 041–0821, Japan;7. Faculty of Science and Engineering, Konan University, Kobe 658–8501, Japan;1. Hubei Key Laboratory of Critical Zone Evolution, School of Earth Sciences, China University of Geosciences, Wuhan 430074, China;2. Department of Phycology, W. Szafer Institute of Botany, Polish Academy of Sciences, Lubicz 46, PL-31-512 Kraków, Poland;3. Institute for Peat and Mire Research, State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Northeast Normal University, Changchun 130024, China;1. Department of Structural Biology, Weizmann Institute of Science, Rehovot, Israel;2. Laboratory of Materials and Interface Chemistry and Center for Multiscale Electron Microscopy, Department of Chemical Engineering and Chemistry and Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, the Netherlands;3. Carl Zeiss Microscopy GmbH, Global Applications Support, Oberkochen, Germany;4. Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel
Abstract:Unicellular protists can biomineralize spatially complex and functional shells. A typical cell of the photosynthetic synurophyte Mallomonas is covered by about 60–100 silica scales. Their geometric arrangement, the so-called scale case, mainly depends on the species and on the cell cycle. In this study, the scale case of the synurophyte Mallomonas was preserved in aqueous suspension using high-pressure freezing (HPF). From this specimen, a three-dimensional (3D) data set spanning a volume of about 25.6 μm × 19.2 μm × 4.2 μm with a voxel size of 12.5 nm × 12.5 nm × 25.0 nm was collected by Cryo-FIB SEM in 3 h and 24 min. SEM imaging using In-lens SE detection allowed to clearly differentiate between mineralized, curved scales of less than 0.2 μm thickness and organic cellular ultrastructure or vitrified ice. The three-dimensional spatial orientations and shapes of a minimum set of scales (N = 13) were identified by visual inspection, and manually segmented. Manual and automated segmentation approaches were comparatively applied to one arbitrarily selected reference scale using the differences in grey level between scales and other constituents. Computational automated routines and principal component analysis of the experimentally extracted data created a realistic mathematical model based on the Fibonacci pattern theory. A complete in silico scale case of Mallomonas was reconstructed showing an optimized scale coverage on the cell surface, similarly as it was observed experimentally. The minimum time requirements from harvesting the living cells to the final scale case determination by Cryo-FIB SEM and computational image processing are discussed.
Keywords:Cryo-FIB SEM  Fibonacci number  Scale case  Protista  Biomineralization
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