Strain Data

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Strain number		NIES-333
Phylum		Heterokontophyta
Class		Bacillariophyceae
Scientific name		Aulacoseira granulata (Ehrenberg) Simonsen
Synonym		Gaillonella granulata Ehrenberg 1843; Melosira granulata (Ehrenberg) Ralfs 1861; Melosira punctata var. granulata (Ehrenberg) Cleve & Möller 1879; Lysigonium granulatum (Ehrenberg) Kuntze 1891; Orthoseira granulata (Ehrenberg) Schonfeldt 1907; Melosira polymorpha subsp. granulata (Ehrenberg) H.Bethge 1925
Former name		Melosira granulata (Ehrenberg) Ralfs var. angustissima O.Müller f. spiralis O.Müller
Common name		Centric diatom
Locality (Date of collection)		Lake Kasumigaura, Ibaraki, Japan (1983-05-09)
Latitude / Longitude		36.0428477398 / 140.373233439
Habitat (Isolation source)		Freshwater (Lake water)
History		< Hiwatari, Takehiko
Isolator (Date of isolation)		Hiwatari, Takehiko (1983-05-10)
Identified by		Mizuno, Makoto; Kawachi, Masanobu (Reidentify)
State of strain		Subculture; Unialgal; Clonal; Axenic[2017 Dec]
Culture condition (Preculture condition)		Medium: CSi Temperature: 15 (20) C Light intensity: 12 (10-17) µmol photons/m²/sec, L/D cycle: 10L:14D Duration: 1 M (10 D)
Gene information		18S rRNA ( LC143217 )
Cell size (min - max)		3 - 12 μm
Organization		Unicellular
Characteristics
Other strain no.		Other strain no. : K-Melo
Remarks		Unstable; Axenic
Movie

Related strain information (Large number of orders and same genus or species)
Strain number	Scientific name	Common name	Habitat (Isolation source)	Characteristics
NIES-3852	Aulacoseira pusilla	Centric diatom	Freshwater (Lake water)
NIES-3948	Aulacoseira ambigua	Centric diatom	Freshwater (Lake water)
NIES-3951	Aulacoseira granulata	Centric diatom	Freshwater (Lake water)

Related strain information (Used in same reference)
Strain number	Scientific name	Common name	Habitat (Isolation source)	Characteristics
NIES-707	Chroomonas nordstedtii		Freshwater (Pond water)
NIES-589	Odontella aurita	Centric diatom	Marine (Seawater)	Red tide
NIES-1956	Scytonema javanicum	Blue-green alga ; Cyanobacteria	Terrestrial	Nitrogen fixation　 (aerobic condition, Modified BG-11₀ medium, N-Free medium)
NIES-1031	Chroogloeocystis siderophila	Blue-green alga ; Cyanobacteria	Hot spring (Bottom mud)	Biofilm process ; Thermophilic ; Gram negative, Iron tolerance (Brown et al. 2005) ; Genome decoded strain (Zhu et al. 2017)
NIES-553	Chaetoceros socialis	Centric diatom	Marine (Seawater)	Red tide

Reference
Soma, Y., Imaizumi, T., Yagi, K., Kasuga, S. 1993 Estimation of algal succession in lake water using HPLC analysis of pigments. Can. J. Fish. Aquat. Sci., 50, 1142-1146. Strain(s): 44, 73, 81, 88, 104, 111, 233, 234, 333, 351 Hamana, K. 2008 Cellular polyamines of phototrophs and beterotrophs belonging to the lower eukaryotic phyla Cercozoa, Euglenozoa, Heterokonta and Metamonada. J. Gen. Appl. Microbiol., 54, 135-140. Keywords: cyanobacteria; homospermidine; polyamine; spermine; thermospermine Strain(s): 9, 15, 71, 86, 118, 253, 323, 330, 333, 548, 603, 622, 1002, 1003, 1011, 1044, 1303, 1380, 1440, 1443, 1444 PubMed: 18497488 DOI: 10.2323/jgam.54.135 Naito, K., Suzuki, M., Mito, S., Hasegawa, H., Matsui, M., Imai, I. 2006 Effects of the substances secreted from Closterium aciculare (Charophyceae, Chlorophyta) on the growth of freshwater phytoplankton under iron-deﬁcient conditions. Plankton Benthos Res., 1, 191-199. Keywords: Closterium aciculare; freshwater phytoplankton; growth; iron-complexing ligand; iron-deﬁcient conditions Strain(s): 104, 215, 248, 333, 528 DOI: 10.3800/pbr.1.191 Fukuda, S., Iwamoto, K., Atsumi, M., Yokoyama, A., Nakayama, T., Ishida, K-I., Inouye, I., Shiraiwa, Y. 2014 Global searches for microalgae and aquatic plants that can eliminate radioactive cesium, iodine and strontium from the radio-polluted aquatic environment: a bioremediation strategy. J. Plant Res., 127, 79-89. Keywords: Algal phytoremediation; Bioaccumulation; Radiopollution; Radionuclide elimination; Radioactive cesium; The Fukushima 1 Nuclear Power Plant accident Strain(s): 24, 36, 71, 155, 160, 203, 233, 246, 329, 333, 391, 405, 417, 440, 487, 503, 529, 531, 538, 548, 553, 587, 597, 678, 727, 805, 843, 859, 931, 995, 1003, 1012, 1015, 1017, 1031, 1044, 1045, 1259, 1326, 1331, 1377, 1382, 1388, 1411, 1435, 1439, 1440, 1441, 1442, 1458, 1728, 1826, 1831, 1833, 1840, 1846, 1862, 1865, 1956, 2131, 2144, 2146, 2147, 2150, 2175, 2176, 2185, 2268, 2325, 2341, 2352, 2377, 2412, 2437, 2854, 2855, 2856, 2858, 2859, 2860 PubMed: 24346654 DOI: 10.1007/s10265-013-0596-9 Mitani, E., Nakayama, F., Matsuwaki, I., Ichi, I., Kawabata, A., Kawachi, M., Kato, M. 2017 Fatty acid composition profiles of 235 strains of three microalgal divisions within the NIES Microbial Culture Collection. Microb. Resour. Syst., 33, 19-29. Keywords: Cryptophyta; docosahexaenoic acid; eicosapentaenoic acid; fatty acid; Haptophyta; Heterokontophyta; microalgae Strain(s): 1, 8, 9, 14, 15, 17, 71, 115, 223, 225, 233, 234, 265, 274, 275, 276, 277, 278, 279, 280, 281, 282, 284, 293, 323, 324, 330, 333, 345, 347, 348, 350, 353, 372, 377, 388, 391, 395, 407, 408, 409, 413, 414, 417, 461, 462, 466, 487, 534, 548, 553, 556, 557, 558, 559, 560, 562, 587, 588, 589, 590, 603, 605, 622, 623, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 710, 711, 712, 713, 714, 715, 716, 741, 765, 766, 805, 837, 997, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1009, 1011, 1016, 1017, 1044, 1045, 1046, 1047, 1302, 1303, 1324, 1330, 1339, 1340, 1349, 1353, 1370, 1375, 1376, 1379, 1383, 1384, 1385, 1386, 1387, 1391, 1392, 1393, 1395, 1398, 1399, 1400, 1401, 1699, 1700, 1730, 1813, 1815, 1816, 1826, 1827, 1831, 1862, 1863, 1864, 1865, 1874, 1963, 1964, 1965, 1974, 1975, 1976, 2142, 2143, 2144, 2145, 2147, 2148, 2300, 2331, 2332, 2351, 2363, 2364, 2365, 2369, 2370, 2376, 2506, 2533, 2534, 2535, 2536, 2537, 2590, 2633, 2668, 2689, 2690, 2691, 2693, 2694, 2696, 2697, 2707, 2716, 2717, 2718, 2720, 2722, 2723, 2725, 2726, 2729, 2730, 2731, 2732, 2770, 2771, 2772, 2773, 2839, 2840, 2841, 2842, 2843, 2844, 2859, 2872, 2878, 2890, 2899, 3391, 3689, 3690, 3691 DOI: 10.60369/microresys.33.1_19 Strain(s): 75, 333, 512, 805, 1642, 1666, 1677, 1696, 1723 DOI: 10.34566/jwwa.88.12_3 Jiang, M. & Nakano, S. 2021 Application of image analysis for algal biomass quantification: a low‑cost and non‑destructive method based on HSI color space. J. Appl. Phycol., 33, 3709–3717. Keywords: Algal biomass; Quantitative methods; Image analysis; HSI color space; Lambert–Beer law Strain(s): 333, 2172 DOI: 10.1007/s10811-021-02571-4

Reference

Soma, Y., Imaizumi, T., Yagi, K., Kasuga, S. 1993 Estimation of algal succession in lake water using HPLC analysis of pigments. Can. J. Fish. Aquat. Sci., 50, 1142-1146.
Strain(s): 44, 73, 81, 88, 104, 111, 233, 234, 333, 351

Hamana, K. 2008 Cellular polyamines of phototrophs and beterotrophs belonging to the lower eukaryotic phyla Cercozoa, Euglenozoa, Heterokonta and Metamonada. J. Gen. Appl. Microbiol., 54, 135-140.
Keywords: cyanobacteria; homospermidine; polyamine; spermine; thermospermine
Strain(s): 9, 15, 71, 86, 118, 253, 323, 330, 333, 548, 603, 622, 1002, 1003, 1011, 1044, 1303, 1380, 1440, 1443, 1444
PubMed: 18497488
DOI: 10.2323/jgam.54.135

Naito, K., Suzuki, M., Mito, S., Hasegawa, H., Matsui, M., Imai, I. 2006 Effects of the substances secreted from Closterium aciculare (Charophyceae, Chlorophyta) on the growth of freshwater phytoplankton under iron-deﬁcient conditions. Plankton Benthos Res., 1, 191-199.
Keywords: Closterium aciculare; freshwater phytoplankton; growth; iron-complexing ligand; iron-deﬁcient conditions
Strain(s): 104, 215, 248, 333, 528
DOI: 10.3800/pbr.1.191

Fukuda, S., Iwamoto, K., Atsumi, M., Yokoyama, A., Nakayama, T., Ishida, K-I., Inouye, I., Shiraiwa, Y. 2014 Global searches for microalgae and aquatic plants that can eliminate radioactive cesium, iodine and strontium from the radio-polluted aquatic environment: a bioremediation strategy. J. Plant Res., 127, 79-89.
Keywords: Algal phytoremediation; Bioaccumulation; Radiopollution; Radionuclide elimination; Radioactive cesium; The Fukushima 1 Nuclear Power Plant accident
Strain(s): 24, 36, 71, 155, 160, 203, 233, 246, 329, 333, 391, 405, 417, 440, 487, 503, 529, 531, 538, 548, 553, 587, 597, 678, 727, 805, 843, 859, 931, 995, 1003, 1012, 1015, 1017, 1031, 1044, 1045, 1259, 1326, 1331, 1377, 1382, 1388, 1411, 1435, 1439, 1440, 1441, 1442, 1458, 1728, 1826, 1831, 1833, 1840, 1846, 1862, 1865, 1956, 2131, 2144, 2146, 2147, 2150, 2175, 2176, 2185, 2268, 2325, 2341, 2352, 2377, 2412, 2437, 2854, 2855, 2856, 2858, 2859, 2860
PubMed: 24346654
DOI: 10.1007/s10265-013-0596-9

Mitani, E., Nakayama, F., Matsuwaki, I., Ichi, I., Kawabata, A., Kawachi, M., Kato, M. 2017 Fatty acid composition profiles of 235 strains of three microalgal divisions within the NIES Microbial Culture Collection. Microb. Resour. Syst., 33, 19-29.
Keywords: Cryptophyta; docosahexaenoic acid; eicosapentaenoic acid; fatty acid; Haptophyta; Heterokontophyta; microalgae
Strain(s): 1, 8, 9, 14, 15, 17, 71, 115, 223, 225, 233, 234, 265, 274, 275, 276, 277, 278, 279, 280, 281, 282, 284, 293, 323, 324, 330, 333, 345, 347, 348, 350, 353, 372, 377, 388, 391, 395, 407, 408, 409, 413, 414, 417, 461, 462, 466, 487, 534, 548, 553, 556, 557, 558, 559, 560, 562, 587, 588, 589, 590, 603, 605, 622, 623, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 710, 711, 712, 713, 714, 715, 716, 741, 765, 766, 805, 837, 997, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1009, 1011, 1016, 1017, 1044, 1045, 1046, 1047, 1302, 1303, 1324, 1330, 1339, 1340, 1349, 1353, 1370, 1375, 1376, 1379, 1383, 1384, 1385, 1386, 1387, 1391, 1392, 1393, 1395, 1398, 1399, 1400, 1401, 1699, 1700, 1730, 1813, 1815, 1816, 1826, 1827, 1831, 1862, 1863, 1864, 1865, 1874, 1963, 1964, 1965, 1974, 1975, 1976, 2142, 2143, 2144, 2145, 2147, 2148, 2300, 2331, 2332, 2351, 2363, 2364, 2365, 2369, 2370, 2376, 2506, 2533, 2534, 2535, 2536, 2537, 2590, 2633, 2668, 2689, 2690, 2691, 2693, 2694, 2696, 2697, 2707, 2716, 2717, 2718, 2720, 2722, 2723, 2725, 2726, 2729, 2730, 2731, 2732, 2770, 2771, 2772, 2773, 2839, 2840, 2841, 2842, 2843, 2844, 2859, 2872, 2878, 2890, 2899, 3391, 3689, 3690, 3691
DOI: 10.60369/microresys.33.1_19

Strain(s): 75, 333, 512, 805, 1642, 1666, 1677, 1696, 1723
DOI: 10.34566/jwwa.88.12_3

Jiang, M. & Nakano, S. 2021 Application of image analysis for algal biomass quantification: a low‑cost and non‑destructive method based on HSI color space. J. Appl. Phycol., 33, 3709–3717.
Keywords: Algal biomass; Quantitative methods; Image analysis; HSI color space; Lambert–Beer law
Strain(s): 333, 2172
DOI: 10.1007/s10811-021-02571-4

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