Automatic Slide-Loader Fluorescence Microscope for Discriminative Enumeration of Subseafloor Life
The marine subsurface environment is considered the potentially largest ecosystem on Earth, harboring one-tenth of all living biota (Whitman et al., 1998) and comprising diverse microbial components (Inagaki et al., 2003, 2006; Teske, 2006; Inagaki and Nakagawa, 2008). In deep marine sediments, the...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2010-04-01
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| Series: | Scientific Drilling |
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| Online Access: | http://www.iodp.org/images/stories/downloads/sd9_10.pdf#page=32 |
| _version_ | 1828952564693991424 |
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| author | Fumio Inagaki Yuki Morono |
| author_facet | Fumio Inagaki Yuki Morono |
| author_sort | Fumio Inagaki |
| collection | DOAJ |
| description | The marine subsurface environment is considered the potentially largest ecosystem on Earth, harboring one-tenth of all living biota (Whitman et al., 1998) and comprising diverse microbial components (Inagaki et al., 2003, 2006; Teske, 2006; Inagaki and Nakagawa, 2008). In deep marine sediments, the discrimination of life is significantly more difficult than in surface sediments and terrestrial soils because buried cells generally have extremely low metabolic activities (D’Hondt et al., 2002, 2004), and a highly consolidated sediment matrix produces auto-fluorescence fromdiatomaceous spicules and other mineral particles (Kallmeyer et al., 2008). The cell abundance in marine subsurface sediments has conventionally been evaluated by acridine orange direct count (AODC; Cragg et al., 1995; Parkes et al., 2000) down to 1613 meters below the seafloor (mbsf) (Roussel et al., 2008). Since the cell-derived AOsignals often fade out in a short exposure time, recognizing and counting cells require special training. Hence, such efforts to enumerate AO-stained cells from the subseafloor on photographic images have been difficult, and a verification of counts by other methods has been impossible. In addition, providing mean statistical values from low biomass sedimentary habitats has been complicated byphysical and time limitations, yet these habitats are considered critical for understanding the Earth’s biosphere close to the limits of habitable zones (Hoehler, 2004; D’Hondt et al., 2007). |
| first_indexed | 2024-12-14T06:55:11Z |
| format | Article |
| id | doaj.art-da41a63a57f245078df792bc8c299f2f |
| institution | Directory Open Access Journal |
| issn | 1816-8957 1816-3459 |
| language | English |
| last_indexed | 2024-12-14T06:55:11Z |
| publishDate | 2010-04-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Scientific Drilling |
| spelling | doaj.art-da41a63a57f245078df792bc8c299f2f2022-12-21T23:12:43ZengCopernicus PublicationsScientific Drilling1816-89571816-34592010-04-0109323610.2204/iodp.sd.9.06.2010Automatic Slide-Loader Fluorescence Microscope for Discriminative Enumeration of Subseafloor LifeFumio InagakiYuki MoronoThe marine subsurface environment is considered the potentially largest ecosystem on Earth, harboring one-tenth of all living biota (Whitman et al., 1998) and comprising diverse microbial components (Inagaki et al., 2003, 2006; Teske, 2006; Inagaki and Nakagawa, 2008). In deep marine sediments, the discrimination of life is significantly more difficult than in surface sediments and terrestrial soils because buried cells generally have extremely low metabolic activities (D’Hondt et al., 2002, 2004), and a highly consolidated sediment matrix produces auto-fluorescence fromdiatomaceous spicules and other mineral particles (Kallmeyer et al., 2008). The cell abundance in marine subsurface sediments has conventionally been evaluated by acridine orange direct count (AODC; Cragg et al., 1995; Parkes et al., 2000) down to 1613 meters below the seafloor (mbsf) (Roussel et al., 2008). Since the cell-derived AOsignals often fade out in a short exposure time, recognizing and counting cells require special training. Hence, such efforts to enumerate AO-stained cells from the subseafloor on photographic images have been difficult, and a verification of counts by other methods has been impossible. In addition, providing mean statistical values from low biomass sedimentary habitats has been complicated byphysical and time limitations, yet these habitats are considered critical for understanding the Earth’s biosphere close to the limits of habitable zones (Hoehler, 2004; D’Hondt et al., 2007).http://www.iodp.org/images/stories/downloads/sd9_10.pdf#page=32subseafloormicroscope |
| spellingShingle | Fumio Inagaki Yuki Morono Automatic Slide-Loader Fluorescence Microscope for Discriminative Enumeration of Subseafloor Life Scientific Drilling subseafloor microscope |
| title | Automatic Slide-Loader Fluorescence Microscope for Discriminative Enumeration of Subseafloor Life |
| title_full | Automatic Slide-Loader Fluorescence Microscope for Discriminative Enumeration of Subseafloor Life |
| title_fullStr | Automatic Slide-Loader Fluorescence Microscope for Discriminative Enumeration of Subseafloor Life |
| title_full_unstemmed | Automatic Slide-Loader Fluorescence Microscope for Discriminative Enumeration of Subseafloor Life |
| title_short | Automatic Slide-Loader Fluorescence Microscope for Discriminative Enumeration of Subseafloor Life |
| title_sort | automatic slide loader fluorescence microscope for discriminative enumeration of subseafloor life |
| topic | subseafloor microscope |
| url | http://www.iodp.org/images/stories/downloads/sd9_10.pdf#page=32 |
| work_keys_str_mv | AT fumioinagaki automaticslideloaderfluorescencemicroscopefordiscriminativeenumerationofsubseafloorlife AT yukimorono automaticslideloaderfluorescencemicroscopefordiscriminativeenumerationofsubseafloorlife |