Strain Data

Strain number		NIES-2730
Phylum		Heterokontophyta
Class		Bacillariophyceae
Scientific name		Planothidium frequentissimum (Lange-Bertalot) Round & Bukhtiyarova
Synonym
Former name
Common name		Pennate diatom
Locality (Date of collection)		Sakuragawa River, Tsukuba, Ibaraki, Japan (2005-06-27)
Latitude / Longitude		36.161917 / 140.0849
Habitat (Isolation source)		Freshwater (Stone)
History		< Mayama, Shigeki
Isolator (Date of isolation)		Ishihara, Satoru (2005-07-10)
Identified by		Mayama, Shigeki
State of strain		Subculture; Unialgal; Clonal; Non-axenic
Culture condition (Preculture condition)		Medium: CSi Temperature: 15 C Light intensity: 5-8 µmol photons/m²/sec, L/D cycle: 10L:14D Duration: 2 M
Gene information
Cell size (min - max)
Organization		Unicellular
Characteristics		Test strain for AGP etc. (Ishihara, S. et al. 2006)
Other strain no.		Other strain no. : K6-10
Remarks
Movie

Related strain information (Large number of orders and same genus or species)
Strain number	Scientific name	Common name	Habitat (Isolation source)	Characteristics
NIES-2731	Planothidium lanceolatum	Pennate diatom	Freshwater (Stone)	Test strain for AGP etc. (Ishihara, S. et al. 2006)

Related strain information (Used in same reference)
Strain number	Scientific name	Common name	Habitat (Isolation source)	Characteristics
NIES-590	Odontella longicruris	Centric diatom	Marine (Seawater)	Red tide
NIES-395	Uroglena americana		Freshwater (Lake water)	Other water bloom ; Phagotrophic
NIES-372	Achnanthidium minutissimum	Pennate diatom	Freshwater (Plant)
NIES-8	Chrysotila roscoffensis	Coccolithophore	Marine	Red tide
NIES-1046	Cylindrotheca fusiformis	Pennate diatom	Marine (Seawater)	Benthic

Reference
Ishihara, S., Horio, T., Kobara, Y., Yokoyama, A., Mayama, S. 2006 Development of a growth inhibition test method using fresh water attached diatoms. Jpn. J. Environ. Toxicol., 9, 101-113 (in Japanese with English summary). Keywords: attached diatom; growth inhibition test; herbicide; ecological risk assessment Strain(s): 71, 2717, 2718, 2719, 2720, 2721, 2722, 2724, 2725, 2726, 2727, 2728, 2729, 2730, 2731, 2732, 2733 DOI: 10.11403/jset.9.101 Ishihara, S. 2008 Development of risk assessment pocedure for evaluating effect of herbicides on primary productivity of river ecosystem. Bull. Nat. Inst. Agro-Env. Sci., 25, 1-92 (in Japanese with English summary). Strain(s): 2717, 2718, 2719, 2720, 2721, 2722, 2723, 2724, 2725, 2726, 2727, 2728, 2729, 2730, 2731, 2732, 2733 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

Reference

Ishihara, S., Horio, T., Kobara, Y., Yokoyama, A., Mayama, S. 2006 Development of a growth inhibition test method using fresh water attached diatoms. Jpn. J. Environ. Toxicol., 9, 101-113 (in Japanese with English summary).
Keywords: attached diatom; growth inhibition test; herbicide; ecological risk assessment
Strain(s): 71, 2717, 2718, 2719, 2720, 2721, 2722, 2724, 2725, 2726, 2727, 2728, 2729, 2730, 2731, 2732, 2733
DOI: 10.11403/jset.9.101

Ishihara, S. 2008 Development of risk assessment pocedure for evaluating effect of herbicides on primary productivity of river ecosystem. Bull. Nat. Inst. Agro-Env. Sci., 25, 1-92 (in Japanese with English summary).
Strain(s): 2717, 2718, 2719, 2720, 2721, 2722, 2723, 2724, 2725, 2726, 2727, 2728, 2729, 2730, 2731, 2732, 2733

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

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