Strain Data

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Strain number		NIES-487
Phylum		Heterokontophyta
Class		Bacillariophyceae
Scientific name		Nitzschia palea (Kützing) W.Smith
Synonym
Former name
Common name		Pennate diatom
Locality (Date of collection)		Miyata River, Ibaraki, Japan (1987-04-21)
Latitude / Longitude
Habitat (Isolation source)		Freshwater (River water)
History		< Kasai, Fumie
Isolator (Date of isolation)		Kasai, Fumie (1987-05-06)
Identified by		Takamura, Noriko
State of strain		Subculture; Unialgal; Non-clonal; Non-axenic
Culture condition (Preculture condition)		Medium: CSi Temperature: 15 C Light intensity: 9-11 µmol photons/m²/sec, L/D cycle: 10L:14D Duration: 2 M
Gene information		18S rRNA ( LC037443 )
Cell size (min - max)		12 - 14 μm
Organization		Unicellular
Characteristics		Test strain (Nagai, T., 2016)
Other strain no.		Other strain no. : 3st-0-57
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-4020	Nitzschia brevissima	Pennate diatom	Terrestrial (Concrete revetment)	Epilithic ; Active gliding motility
NIES-1339	Nitzschia sp.	Pennate diatom	Marine (Seawater)
NIES-1340	Nitzschia sp.	Pennate diatom	Marine (Seawater)
NIES-3581	Nitzschia sp.	Pennate diatom	Brackish water (Plant (Mangrove))	Heterotrophic ; Benthic ; Nonphotosynthetic plastids ; Genome decoded strain (Kamikawa et al. 2018)
NIES-4239	Nitzschia putrida	Pennate diatom	Brackish water (Fallen leaves)	Heterotrophic ; Attached ; Nonphotosynthetic plastids ; Genome decoded strain (Kamikawa et al. 2022)

Related strain information (Used in same reference)
Strain number	Scientific name	Common name	Habitat (Isolation source)	Characteristics
NIES-2150	Pseudochlorella pringsheimii	Green alga
NIES-540	Uronema gigas	Green alga	Freshwater (River water)
NIES-2843	Skeletonema pseudocostatum	Centric diatom	Marine (Seawater)	Red tide (Yamada et al. 2010) ; Planktonic
NIES-282	Cryptomonas tetrapyrenoidosa		Freshwater (Pond water)	Live food (Liu et al. 2016)
NIES-2325	Eutreptiella sp.		Marine (Seawater)

Reference
Takamura, N., Kasai, F., Watanabe, M. M. 1989 Effects of Cu, Cd and Zn on photosynthesis of freshwater benthic algae. J. Appl. Phycol., 1, 39-52. Keywords: heavy metal; photosynthesis; algae; tolerance Strain(s): 71, 305, 329, 407, 408, 409, 410, 411, 412, 413, 414, 416, 433, 434, 454, 461, 465, 466, 467, 479, 481, 487, 503, 504, 505, 506, 507, 509, 510, 515, 529, 530, 531, 532, 536, 537, 538, 539, 540, 620, 639, 640, 641, 642, 659, 660, 661, 662 Sato, Y., Ito, A., Tate, N., Sasaki, A., Aizawa, J., Umita, T. 2008 Impact of coexistent metal on survival of diatom in presence of polynuclear hydroxy-alminium ion. Environ. Eng. Res., 45, 139-145. Keywords: polynuclear hydroxyl-Aluminium ion; diatom; complex ecological impact of coexistent metal cations Strain(s): 487 Kimura, J. 2011 Screening for allelopathic activity on algal growth. Bull. Hiroshima Pref. Tech. Res. Inst., Publ. Health Environ. Center, 19, 37-46 (in Japanese). Keywords: Microcystis; Chlorella; Nitzschia; growth inhibition; allelopathy Strain(s): 88, 487, 642 Nagai, T., Taya, K., Annoh, H., Ishihara, S. 2013 Application of a fluorometric microplate algal toxicity assay for riverine periphytic algal species. Ecotox. Environ. Safe., 94, 37-44. Keywords: Attached algae; In-vivo fluorescence; Pesticides; Species sensitivity distribution Strain(s): 35, 71, 73, 414, 487, 512, 797 DOI: 10.1016/j.ecoenv.2013.04.020 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 Nagai, T. 2014 河川付着藻類を用いた農薬の毒性試験マニュアル Ver. 1.0 In Research Project for Environmental Risk Assessment of Nutrients and Organochemicals, NIAES, 52 pp (in Japanese). Strain(s): 71, 487, 512, 797 Nagai, T., Taya, K., Yoda, I. 2016 Comparative toxicity of 20 herbicides to 5 periphytic algae and the relationship with mode of action. Environ. Toxicol. Chem., 35, 368-375. Keywords: Attached algae; In-vivo fluorescence; Pesticides; Species sensitivity distribution Strain(s): 71, 487, 512, 797 PubMed: 26174500 DOI: 10.1002/etc.3150 Nagai, T. 2017 Predicting herbicide mixture effects on multiple algal species using mixture toxicity models. Environ. Toxicol. Chem., 36, 2624-2630. Keywords: Pesticide; Species sensitivity distribution; Mixture toxicology; Algae; Mode of action Strain(s): 71, 487, 512, 797 PubMed: 28316094 DOI: 10.1002/etc.3800 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 Nemoto, M. 2021 A comparative gene analysis reveals a diatom-specific SET domain protein family. Scientific Reports of the Faculty of Agriculture, Okayama University, 110, 1-6 (in Japanese with English summary). Keywords: Biomineralization; Diatom; Silica; Protein Strain(s): 487, 1349 Sasaki, A., Tate, N., Ito, A., Aizawa, J., Umita, T. 2006 付着藻類を指標としたアルミニウムの河川生態系への影響に関する基礎的研究 (Estimation of the effects of Al hydrolysis products on river ecosystems using attached algae as bioindicator.) Environmental engineering research, 43, 493-499 (in Japanese with English summary). Keywords: Al hydrolysis product; attached algae; decay rate; ecological effect Strain(s): 71, 487 DOI: 10.11532/proes1992.43.493

Reference

Takamura, N., Kasai, F., Watanabe, M. M. 1989 Effects of Cu, Cd and Zn on photosynthesis of freshwater benthic algae. J. Appl. Phycol., 1, 39-52.
Keywords: heavy metal; photosynthesis; algae; tolerance
Strain(s): 71, 305, 329, 407, 408, 409, 410, 411, 412, 413, 414, 416, 433, 434, 454, 461, 465, 466, 467, 479, 481, 487, 503, 504, 505, 506, 507, 509, 510, 515, 529, 530, 531, 532, 536, 537, 538, 539, 540, 620, 639, 640, 641, 642, 659, 660, 661, 662

Sato, Y., Ito, A., Tate, N., Sasaki, A., Aizawa, J., Umita, T. 2008 Impact of coexistent metal on survival of diatom in presence of polynuclear hydroxy-alminium ion. Environ. Eng. Res., 45, 139-145.
Keywords: polynuclear hydroxyl-Aluminium ion; diatom; complex ecological impact of coexistent metal cations
Strain(s): 487

Kimura, J. 2011 Screening for allelopathic activity on algal growth. Bull. Hiroshima Pref. Tech. Res. Inst., Publ. Health Environ. Center, 19, 37-46 (in Japanese).
Keywords: Microcystis; Chlorella; Nitzschia; growth inhibition; allelopathy
Strain(s): 88, 487, 642

Nagai, T., Taya, K., Annoh, H., Ishihara, S. 2013 Application of a fluorometric microplate algal toxicity assay for riverine periphytic algal species. Ecotox. Environ. Safe., 94, 37-44.
Keywords: Attached algae; In-vivo fluorescence; Pesticides; Species sensitivity distribution
Strain(s): 35, 71, 73, 414, 487, 512, 797
DOI: 10.1016/j.ecoenv.2013.04.020

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

Nagai, T. 2014 河川付着藻類を用いた農薬の毒性試験マニュアル Ver. 1.0 In Research Project for Environmental Risk Assessment of Nutrients and Organochemicals, NIAES, 52 pp (in Japanese).
Strain(s): 71, 487, 512, 797

Nagai, T., Taya, K., Yoda, I. 2016 Comparative toxicity of 20 herbicides to 5 periphytic algae and the relationship with mode of action. Environ. Toxicol. Chem., 35, 368-375.
Keywords: Attached algae; In-vivo fluorescence; Pesticides; Species sensitivity distribution
Strain(s): 71, 487, 512, 797
PubMed: 26174500
DOI: 10.1002/etc.3150

Nagai, T. 2017 Predicting herbicide mixture effects on multiple algal species using mixture toxicity models. Environ. Toxicol. Chem., 36, 2624-2630.
Keywords: Pesticide; Species sensitivity distribution; Mixture toxicology; Algae; Mode of action
Strain(s): 71, 487, 512, 797
PubMed: 28316094
DOI: 10.1002/etc.3800

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

Nemoto, M. 2021 A comparative gene analysis reveals a diatom-specific SET domain protein family. Scientific Reports of the Faculty of Agriculture, Okayama University, 110, 1-6 (in Japanese with English summary).
Keywords: Biomineralization; Diatom; Silica; Protein
Strain(s): 487, 1349

Sasaki, A., Tate, N., Ito, A., Aizawa, J., Umita, T. 2006 付着藻類を指標としたアルミニウムの河川生態系への影響に関する基礎的研究 (Estimation of the effects of Al hydrolysis products on river ecosystems using attached algae as bioindicator.) Environmental engineering research, 43, 493-499 (in Japanese with English summary).
Keywords: Al hydrolysis product; attached algae; decay rate; ecological effect
Strain(s): 71, 487
DOI: 10.11532/proes1992.43.493

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