@article {ferrieux_comparative_2022, title = {Comparative Thermophysiology of Marine Synechococcus CRD1 Strains Isolated From Different Thermal Niches in Iron-Depleted Areas}, journal = {Frontiers in Microbiology}, volume = {13}, year = {2022}, abstract = {Marine Synechococcus cyanobacteria are ubiquitous in the ocean, a feature likely related to their extensive genetic diversity. Amongst the major lineages, clades I and IV preferentially thrive in temperate and cold, nutrient-rich waters, whilst clades II and III prefer warm, nitrogen or phosphorus-depleted waters. The existence of such cold (I/IV) and warm (II/III) thermotypes is corroborated by physiological characterization of representative strains. A fifth clade, CRD1, was recently shown to dominate the Synechococcus community in iron-depleted areas of the world ocean and to encompass three distinct ecologically significant taxonomic units (ESTUs CRD1A-C) occupying different thermal niches, suggesting that distinct thermotypes could also occur within this clade. Here, using comparative thermophysiology of strains representative of these three CRD1 ESTUs we show that the CRD1A strain MITS9220 is a warm thermotype, the CRD1B strain BIOS-U3-1 a cold temperate thermotype, and the CRD1C strain BIOS-E4-1 a warm temperate stenotherm. Curiously, the CRD1B thermotype lacks traits and/or genomic features typical of cold thermotypes. In contrast, we found specific physiological traits of the CRD1 strains compared to their clade I, II, III, and IV counterparts, including a lower growth rate and photosystem II maximal quantum yield at most temperatures and a higher turnover rate of the D1 protein. Together, our data suggests that the CRD1 clade prioritizes adaptation to low-iron conditions over temperature adaptation, even though the occurrence of several CRD1 thermotypes likely explains why the CRD1 clade as a whole occupies most iron-limited waters.}, keywords = {RCC2374, RCC2385, RCC2533, RCC2534, RCC2571, RCC515, rcc539, rcc791}, issn = {1664-302X}, doi = {10.3389/fmicb.2022.893413}, url = {https://www.frontiersin.org/article/10.3389/fmicb.2022.893413}, author = {Ferrieux, Mathilde and Dufour, Louison and Dor{\'e}, Hugo and Ratin, Morgane and Gu{\'e}neugu{\`e}s, Audrey and Chasselin, L{\'e}o and Marie, Dominique and Rigaut-jalabert, Fabienne and Le Gall, Florence and Sciandra, Th{\'e}o and Monier, Garance and Hoebeke, Mark and Corre, Erwan and Xia, Xiaomin and Liu, Hongbin and Scanlan, David J. and Partensky, Fr{\'e}d{\'e}ric and Garczarek, Laurence} } @article {jimenez_no_2021, title = {No evidence of Phago-mixotropy in Micromonas polaris (Mamiellophyceae), the Dominant Picophytoplankton Species in the Arctic}, journal = {Journal of Phycology}, volume = {57}, number = {2}, year = {2021}, note = {_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/jpy.13125}, pages = {435{\textendash}446}, abstract = {In the Arctic Ocean, the small green alga Micromonas polaris dominates picophytoplankton during the summer months but is also present in winter. It has been previously hypothesized to be phago-mixotrophic (capable of bacteria ingestion) based on laboratory and field experiments. Prey uptake was analyzed in several M. polaris strains isolated from different regions and depths of the Arctic Ocean and in Ochromonas triangulata, a known phago-mixotroph used as a control. Measuring ingestion of either fluorescent beads or fluorescently labeled bacteria by flow cytometry, we found no evidence of phago-mixotrophy in any M. polaris strain while O. triangulata was ingesting both beads and bacteria. In addition, in silico predictions revealed that members of the genus Micromonas lack a genetic signature of phagocytotic capacity.}, keywords = {Arctic, Micromonas, phago-mixotrophy, phytoplankton, rcc, RCC21, RCC2288, RCC2306, RCC4298}, issn = {1529-8817}, doi = {10.1111/jpy.13125}, url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/jpy.13125}, author = {Jimenez, Valeria and Burns, John A. and Le Gall, Florence and Not, Fabrice and Vaulot, Daniel} } @article {Ribeiro2020, title = {Culturable diversity of Arctic phytoplankton during pack ice melting}, journal = {Elementa: Science of the Anthropocene}, volume = {8}, number = {1}, year = {2020}, note = {tex.mendeley-tags: RCC5197,RCC5198,RCC5199,RCC5200,RCC5201,RCC5202,RCC5203,RCC5204,RCC5205,RCC5206,RCC5207,RCC5208,RCC5209,RCC5210,RCC5211,RCC5212,RCC5213,RCC5214,RCC5215,RCC5216,RCC5217,RCC5218,RCC5219,RCC5220,RCC5221,RCC5222,RCC5223,RCC5224,RCC5225,RCC5226,RCC5227,RCC5228,RCC5229,RCC5230,RCC5231,RCC5232,RCC5233,RCC5234,RCC5235,RCC5236,RCC5237,RCC5238,RCC5239,RCC5240,RCC5241,RCC5242,RCC5243,RCC5244,RCC5245,RCC5246,RCC5247,RCC5248,RCC5249,RCC5250,RCC5251,RCC5252,RCC5253,RCC5254,RCC5255,RCC5256,RCC5257,RCC5258,RCC5259,RCC5260,RCC5261,RCC5262,RCC5263,RCC5264,RCC5265,RCC5266,RCC5267,RCC5268,RCC5269,RCC5270,RCC5271,RCC5272,RCC5273,RCC5274,RCC5275,RCC5276,RCC5277,RCC5278,RCC5279,RCC5280,RCC5281,RCC5282,RCC5283,RCC5284,RCC5285,RCC5286,RCC5287,RCC5288,RCC5289,RCC5290,RCC5291,RCC5292,RCC5293,RCC5294,RCC5295,RCC5296,RCC5297,RCC5298,RCC5299,RCC5300,RCC5301,RCC5302,RCC5303,RCC5304,RCC5305,RCC5306,RCC5307,RCC5308,RCC5309,RCC5310,RCC5311,RCC5312,RCC5313,RCC5314,RCC5315,RCC5316,RCC5317,RCC5318,RCC5319,RCC5320,RCC5321,RCC5322,RCC5323,RCC5324,RCC5325,RCC5326,RCC5327,RCC5328,RCC5329,RCC5330,RCC5331,RCC5332,RCC5333,RCC5334,RCC5335,RCC5336,RCC5337,RCC5338,RCC5339,RCC5340,RCC5341,RCC5342,RCC5343,RCC5344,RCC5345,RCC5346,RCC5347,RCC5348,RCC5349,RCC5350,RCC5351,RCC5352,RCC5353,RCC5354,RCC5355,RCC5356,RCC5357,RCC5358,RCC5359,RCC5360,RCC5361,RCC5362,RCC5363,RCC5364,RCC5365,RCC5366,RCC5367,RCC5368,RCC5369,RCC5370,RCC5371,RCC5372,RCC5373,RCC5374,RCC5375,RCC5376,RCC5377,RCC5378,RCC5379,RCC5380,RCC5381,RCC5382,RCC5383,RCC5384,RCC5385,RCC5386,RCC5387,RCC5388,RCC5389,RCC5390,RCC5391,RCC5392,RCC5393,RCC5394,RCC5395,RCC5396,RCC5397,RCC5398,RCC5399,RCC5400,RCC5401,RCC5402,RCC5403,RCC5404,RCC5405,RCC5406,RCC5407,RCC5408,RCC5409,RCC5410,RCC5411,RCC5412,RCC5413,RCC5414,RCC5415,RCC5416,RCC5417,RCC5418,RCC5419,RCC5420,RCC5421,RCC5422,RCC5423,RCC5424,RCC5425,RCC5426,RCC5427,RCC5428,RCC5429,RCC5430,RCC5431,RCC5432,RCC5433,RCC5434,RCC5435,RCC5436,RCC5437,RCC5438,RCC5439,RCC5440,RCC5441,RCC5442,RCC5443,RCC5444,RCC5445,RCC5446,RCC5447,RCC5448,RCC5449,RCC5450,RCC5451,RCC5452,RCC5453,RCC5454,RCC5455,RCC5456,RCC5457,RCC5458,RCC5459,RCC5460,RCC5461,RCC5462,RCC5463,RCC5464,RCC5465,RCC5466,RCC5467,RCC5468,RCC5469,RCC5470,RCC5471,RCC5472,RCC5473,RCC5474,RCC5475,RCC5476,RCC5477,RCC5478,RCC5479,RCC5480,RCC5481,RCC5482,RCC5483,RCC5484,RCC5485,RCC5486,RCC5487,RCC5488,RCC5489,RCC5490,RCC5491,RCC5492,RCC5493,RCC5494,RCC5495,RCC5496,RCC5497,RCC5498,RCC5499,RCC5500,RCC5501,RCC5502,RCC5503,RCC5504,RCC5505,RCC5506,RCC5507,RCC5508,RCC5509,RCC5510,RCC5511,RCC5512,RCC5513,RCC5514,RCC5515,RCC5516,RCC5517,RCC5518,RCC5519,RCC5520,RCC5521,RCC5522,RCC5523,RCC5524,RCC5525,RCC5526,RCC5527,RCC5528,RCC5529,RCC5530,RCC5531,RCC5532,RCC5533,RCC5534,RCC5535,RCC5536,RCC5537,RCC5538,RCC5539,RCC5540,RCC5541,RCC5542,RCC5543,RCC5544,RCC5545,RCC5546,RCC5547,RCC5548,RCC5549,RCC5550,RCC5551,RCC5552,RCC5553,RCC5554,RCC5555,RCC5556,RCC5557,RCC5558,RCC5559,RCC5560,RCC5561,RCC5562,RCC5563,RCC5564,RCC5565,RCC5566,RCC5567,RCC5568,RCC5569,RCC5570,RCC5571,RCC5572,RCC5573,RCC5574,RCC5575,RCC5576,RCC5577,RCC5578,RCC5579,RCC5580,RCC5581,RCC5582,RCC5583,RCC5584,RCC5585,RCC5586,RCC5587,RCC5588,RCC5589,RCC5590,RCC5591,RCC5592,RCC5593,RCC5594,RCC5595,RCC5596,RCC5597,RCC5598,RCC5599,RCC5600,RCC5601,RCC5602,RCC5603,RCC5604,RCC5605,RCC5606,RCC5607,RCC5608,RCC5609,RCC5610,RCC5611,RCC5612}, month = {feb}, pages = {6}, abstract = {Massive phytoplankton blooms develop at the Arctic ice edge, sometimes extending far under the pack ice. An extensive culturing effort was conducted before and during a phytoplankton bloom in Baffin Bay between April and July 2016. Different isolation strategies were applied, including flow cytometry cell sorting, manual single cell pipetting and serial dilution. Although all three techniques yielded the most common organisms, each technique retrieved specific taxa, highlighting the importance of using several methods to maximize the number and diversity of isolated strains. More than 1,000 cultures were obtained, characterized by 18S rRNA sequencing and optical microscopy and de-replicated to a subset of 276 strains presented in this work. Strains grouped into 57 genotypes defined by 100\% 18S rRNA sequence similarity. These genotypes spread across five divisions: Heterokontophyta, Chlorophyta, Cryptophyta, Haptophyta and Dinophyta. Diatoms were the most abundant group (193 strains), mostly represented by the genera Chaetoceros and Attheya. The genera Rhodomonas and Pyramimonas were the most abundant non-diatom nanoplankton strains, while Micromonas polaris dominated the picoplankton. Diversity at the class level was higher during the peak of the bloom. Potentially new species were isolated, in particular within the genera Navicula, Nitzschia, Coscinodiscus, Thalassiosira, Pyramimonas, Mantoniella and Isochrysis.}, keywords = {RCC5197, RCC5198, RCC5199, RCC5200, RCC5201, RCC5202, RCC5203, RCC5204, RCC5205, RCC5206, RCC5207, RCC5208, RCC5209, RCC5210, RCC5211, RCC5212, RCC5213, RCC5214, RCC5215, RCC5216, RCC5217, RCC5218, RCC5219, RCC5220, RCC5221, RCC5222, RCC5223, RCC5224, RCC5225, RCC5226, RCC5227, RCC5228, RCC5229, RCC5230, RCC5231, RCC5232, RCC5233, RCC5234, RCC5235, RCC5236, RCC5237, RCC5238, RCC5239, RCC5240, RCC5241, RCC5242, RCC5243, RCC5244, RCC5245, RCC5246, RCC5247, RCC5248, RCC5249, RCC5250, RCC5251, RCC5252, RCC5253, RCC5254, RCC5255, RCC5256, RCC5257, RCC5258, RCC5259, RCC5260, RCC5261, RCC5262, RCC5263, RCC5264, RCC5265, RCC5266, RCC5267, RCC5268, RCC5269, RCC5270, RCC5271, RCC5272, RCC5273, RCC5274, RCC5275, RCC5276, RCC5277, RCC5278, RCC5279, RCC5280, RCC5281, RCC5282, RCC5283, RCC5284, RCC5285, RCC5286, RCC5287, RCC5288, RCC5289, RCC5290, RCC5291, RCC5292, RCC5293, RCC5294, RCC5295, RCC5296, RCC5297, RCC5298, RCC5299, RCC5300, RCC5301, RCC5302, RCC5303, RCC5304, RCC5305, RCC5306, RCC5307, RCC5308, RCC5309, RCC5310, RCC5311, RCC5312, RCC5313, RCC5314, RCC5315, RCC5316, RCC5317, RCC5318, RCC5319, RCC5320, RCC5321, RCC5322, RCC5323, RCC5324, RCC5325, RCC5326, RCC5327, RCC5328, RCC5329, RCC5330, RCC5331, RCC5332, RCC5333, RCC5334, RCC5335, RCC5336, RCC5337, RCC5338, RCC5339, RCC5340, RCC5341, RCC5342, RCC5343, RCC5344, RCC5345, RCC5346, RCC5347, RCC5348, RCC5349, RCC5350, RCC5351, RCC5352, RCC5353, RCC5354, RCC5355, RCC5356, RCC5357, RCC5358, RCC5359, RCC5360, RCC5361, RCC5362, RCC5363, RCC5364, RCC5365, RCC5366, RCC5367, RCC5368, RCC5369, RCC5370, RCC5371, RCC5372, RCC5373, RCC5374, RCC5375, RCC5376, RCC5377, RCC5378, RCC5379, RCC5380, RCC5381, RCC5382, RCC5383, RCC5384, RCC5385, RCC5386, RCC5387, RCC5388, RCC5389, RCC5390, RCC5391, RCC5392, RCC5393, RCC5394, RCC5395, RCC5396, RCC5397, RCC5398, RCC5399, RCC5400, RCC5401, RCC5402, RCC5403, RCC5404, RCC5405, RCC5406, RCC5407, RCC5408, RCC5409, RCC5410, RCC5411, RCC5412, RCC5413, RCC5414, RCC5415, RCC5416, RCC5417, RCC5418, RCC5419, RCC5420, RCC5421, RCC5422, RCC5423, RCC5424, RCC5425, RCC5426, RCC5427, RCC5428, RCC5429, RCC5430, RCC5431, RCC5432, RCC5433, RCC5434, RCC5435, RCC5436, RCC5437, RCC5438, RCC5439, RCC5440, RCC5441, RCC5442, RCC5443, RCC5444, RCC5445, RCC5446, RCC5447, RCC5448, RCC5449, RCC5450, RCC5451, RCC5452, RCC5453, RCC5454, RCC5455, RCC5456, RCC5457, RCC5458, RCC5459, RCC5460, RCC5461, RCC5462, RCC5463, RCC5464, RCC5465, RCC5466, RCC5467, RCC5468, RCC5469, RCC5470, RCC5471, RCC5472, RCC5473, RCC5474, RCC5475, RCC5476, RCC5477, RCC5478, RCC5479, RCC5480, RCC5481, RCC5482, RCC5483, RCC5484, RCC5485, RCC5486, RCC5487, RCC5488, RCC5489, RCC5490, RCC5491, RCC5492, RCC5493, RCC5494, RCC5495, RCC5496, RCC5497, RCC5498, RCC5499, RCC5500, RCC5501, RCC5502, RCC5503, RCC5504, RCC5505, RCC5506, RCC5507, RCC5508, RCC5509, RCC5510, RCC5511, RCC5512, RCC5513, RCC5514, RCC5515, RCC5516, RCC5517, RCC5518, RCC5519, RCC5520, RCC5521, RCC5522, RCC5523, RCC5524, RCC5525, RCC5526, RCC5527, RCC5528, RCC5529, RCC5530, RCC5531, RCC5532, RCC5533, RCC5534, RCC5535, RCC5536, RCC5537, RCC5538, RCC5539, RCC5540, RCC5541, RCC5542, RCC5543, RCC5544, RCC5545, RCC5546, RCC5547, RCC5548, RCC5549, RCC5550, RCC5551, RCC5552, RCC5553, RCC5554, RCC5555, RCC5556, RCC5557, RCC5558, RCC5559, RCC5560, RCC5561, RCC5562, RCC5563, RCC5564, RCC5565, RCC5566, RCC5567, RCC5568, RCC5569, RCC5570, RCC5571, RCC5572, RCC5573, RCC5574, RCC5575, RCC5576, RCC5577, RCC5578, RCC5579, RCC5580, RCC5581, RCC5582, RCC5583, RCC5584, RCC5585, RCC5586, RCC5587, RCC5588, RCC5589, RCC5590, RCC5591, RCC5592, RCC5593, RCC5594, RCC5595, RCC5596, RCC5597, RCC5598, RCC5599, RCC5600, RCC5601, RCC5602, RCC5603, RCC5604, RCC5605, RCC5606, RCC5607, RCC5608, RCC5609, RCC5610, RCC5611, RCC5612}, issn = {2325-1026}, doi = {10.1525/elementa.401}, url = {https://www.biorxiv.org/content/10.1101/642264v1 https://www.elementascience.org/article/10.1525/elementa.401/}, author = {Ribeiro, Catherine G{\'e}rikas and dos Santos, Adriana Lopes and Gourvil, Priscillia and Le Gall, Florence and Marie, Dominique and Tragin, Margot and Probert, Ian and Vaulot, Daniel} } @article {Arsenieff2020, title = {Diversity and dynamics of relevant nanoplanktonic diatoms in the Western English Channel}, journal = {The ISME Journal}, year = {2020}, note = {Publisher: Springer US tex.mendeley-tags: RCC4657,RCC4658,RCC4659,RCC4660,RCC4661,RCC4662,RCC4663,RCC4664,RCC4665,RCC4666,RCC5154,RCC5839,RCC5840,RCC5841,RCC5842,RCC5843,RCC5844,RCC5845,RCC5846,RCC5847,RCC5848,RCC5849,RCC5850,RCC5851,RCC5852,RCC5853,RCC5854,RCC5855,RCC5856,RCC5857,RCC5859,RCC5860,RCC5861,RCC5862,RCC5863,RCC5864,RCC5865,RCC5866,RCC5867,RCC5868,RCC5869,RCC5870,RCC5871,RCC5872,RCC5873,RCC5875,RCC5876,RCC5877,RCC5878,RCC5879,RCC5880,RCC5881,RCC5882,RCC5883,RCC5884,RCC5885,RCC5886,RCC5887,RCC5921}, month = {apr}, keywords = {RCC4657, RCC4658, RCC4659, RCC4660, RCC4661, RCC4662, RCC4663, RCC4664, RCC4665, RCC4666, RCC5154, RCC5839, RCC5840, RCC5841, RCC5842, RCC5843, RCC5844, RCC5845, RCC5846, RCC5847, RCC5848, RCC5849, RCC5850, RCC5851, RCC5852, RCC5853, RCC5854, RCC5855, RCC5856, RCC5857, RCC5859, RCC5860, RCC5861, RCC5862, RCC5863, RCC5864, RCC5865, RCC5866, RCC5867, RCC5868, RCC5869, RCC5870, RCC5871, RCC5872, RCC5873, RCC5875, RCC5876, RCC5877, RCC5878, RCC5879, RCC5880, RCC5881, RCC5882, RCC5883, RCC5884, RCC5885, RCC5886, RCC5887, RCC5921}, issn = {1751-7362}, doi = {10.1038/s41396-020-0659-6}, url = {http://dx.doi.org/10.1038/s41396-020-0659-6 http://www.nature.com/articles/s41396-020-0659-6}, author = {Arsenieff, Laure and Le Gall, Florence and Rigaut-jalabert, Fabienne and Mah{\'e}, Fr{\'e}d{\'e}ric and Sarno, Diana and Gouhier, L{\'e}na and Baudoux, Anne-claire and Simon, Nathalie} } @article {Arsenieff2019, title = {First viruses infecting the marine diatom guinardia delicatula}, journal = {Frontiers in Microbiology}, volume = {9}, number = {January}, year = {2019}, note = {tex.mendeley-tags: RCC1000,RCC2023,RCC3046,RCC3083,RCC3093,RCC3101,RCC4657,RCC4659,RCC4660,RCC4667,RCC4834,RCC5154,RCC5777,RCC5778,RCC5779,RCC5780,RCC5781,RCC5782,RCC5783,RCC5784,RCC5785,RCC5787,RCC5788,RCC5789,RCC5790,RCC5792,RCC5793,RCC5794,RCC80}, month = {jan}, keywords = {diatoms, genomics, host-virus dynamics, RCC1000, RCC2023, RCC3046, RCC3083, RCC3093, RCC3101, RCC4657, RCC4659, RCC4660, RCC4667, RCC4834, RCC5154, RCC5777, RCC5778, RCC5779, RCC5780, RCC5781, RCC5782, RCC5783, RCC5784, RCC5785, RCC5787, RCC5788, RCC5789, RCC5790, RCC5792, RCC5793, RCC5794, RCC80, single-stranded RNA viruses, Western English Channel}, issn = {1664-302X}, doi = {10.3389/fmicb.2018.03235}, url = {https://www.frontiersin.org/article/10.3389/fmicb.2018.03235/full}, author = {Arsenieff, Laure and Simon, Nathalie and Rigaut-jalabert, Fabienne and Le Gall, Florence and Chaffron, Samuel and Corre, Erwan and Com, Emmanuelle and Bigeard, Estelle and Baudoux, Anne-claire} } @article {Marie2017, title = {Improvement of phytoplankton culture isolation using single cell sorting by flow cytometry}, journal = {Journal of Phycology}, volume = {53}, number = {2}, year = {2017}, note = {tex.mendeley-tags: 2016,RCC1008,RCC299,RCC350,RCC4108,RCC4548,RCC4549,RCC4550,RCC4551,RCC4552,RCC4553,RCC4554,RCC4555,RCC4556,RCC4557,RCC4558,RCC4559,RCC4560,RCC4561,RCC4562,RCC4563,RCC4564,RCC4565,RCC4566,RCC4567,RCC4568,RCC4569,RCC4570,RCC4571,RCC4572,RCC4573,RCC4574,RCC4575,RCC4576,RCC4577,RCC4578,RCC4579,RCC4657,RCC4658,RCC4659,RCC4660,RCC4661,RCC4662,RCC4663,RCC4664,RCC4665,RCC4666,RCC90}, month = {apr}, pages = {271{\textendash}282}, keywords = {2016, RCC1008, RCC299, RCC350, RCC4108, RCC4548, RCC4549, RCC4550, RCC4551, RCC4552, RCC4553, RCC4554, RCC4555, RCC4556, RCC4557, RCC4558, RCC4559, RCC4560, RCC4561, RCC4562, RCC4563, RCC4564, RCC4565, RCC4566, RCC4567, RCC4568, RCC4569, RCC4570, RCC4571, RCC4572, RCC4573, RCC4574, RCC4575, RCC4576, RCC4577, RCC4578, RCC4579, RCC4657, RCC4658, RCC4659, RCC4660, RCC4661, RCC4662, RCC4663, RCC4664, RCC4665, RCC4666, RCC90}, issn = {00223646}, doi = {10.1111/jpy.12495}, url = {http://doi.wiley.com/10.1111/jpy.12495}, author = {Marie, Dominique and Le Gall, Florence and Edern, Roseline and Gourvil, Priscillia and Vaulot, Daniel}, editor = {Valentin, K.} } @article {Simon2017, title = {Revision of the genus micromonas manton et parke (chlorophyta, mamiellophyceae), of the type species m. pusilla (butcher) manton \& parke and of the species m. commoda van baren, bachy and worden and description of two new species based on the genetic}, journal = {Protist}, volume = {168}, number = {5}, year = {2017}, note = {tex.mendeley-tags: 2017,RCC1109,RCC114,RCC2306,RCC2308,RCC299,RCC372,RCC373,RCC418,RCC434,RCC447,RCC448,RCC449,RCC450,RCC451,RCC461,RCC465,RCC472,RCC497,RCC498,RCC570,RCC629,RCC647,RCC658,RCC676,RCC692,RCC746,RCC803,RCC804,RCC805,RCC806,RCC807,RCC808,RCC828,RCC829,RCC830,RCC831,RCC833,RCC834,RCC835,RCC836,sbr?hyto$_\textrmd$ipo}, month = {nov}, pages = {612{\textendash}635}, keywords = {2017, ASSEMBLE, rcc, RCC1109, RCC114, RCC2306, RCC2308, RCC299, RCC372, RCC373, RCC418, RCC434, RCC447, RCC448, RCC449, RCC450, RCC451, RCC461, RCC465, RCC472, RCC497, RCC498, RCC570, RCC629, RCC647, RCC658, RCC676, RCC692, RCC746, RCC803, RCC804, RCC805, RCC806, RCC807, RCC808, RCC828, RCC829, RCC830, RCC831, RCC833, RCC834, RCC835, RCC836, SBR$_\textrmP$hyto$_\textrmD$IPO, SBR$_\textrmP$hyto$_\textrmP$PM, sbr?hyto$_\textrmd$ipo}, issn = {14344610}, doi = {10.1016/j.protis.2017.09.002}, url = {http://linkinghub.elsevier.com/retrieve/pii/S1434461017300780}, author = {Simon, Nathalie and Foulon, Elodie and Grulois, Daphne and Six, Christophe and Desdevises, Yves and Latimier, Marie and Le Gall, Florence and Tragin, Margot and Houdan, Aude and Derelle, Evelyne and Jouenne, Fabien and Marie, Dominique and Le Panse, Sophie and Vaulot, Daniel and Marin, Birger} } @article {Decelle2015, title = {PhytoREF: a reference database of the plastidial 16S rRNA gene of photosynthetic eukaryotes with curated taxonomy}, journal = {Molecular Ecology Resources}, volume = {15}, number = {6}, year = {2015}, note = {tex.mendeley-tags: 2015,macumba,rcc,sbr?hyto$_\textrmd$ipo,sbr?hyto?ppo}, pages = {1435{\textendash}1445}, abstract = {Photosynthetic eukaryotes have a critical role as the main producers in most ecosystems of the biosphere. The ongo- ing environmental metabarcoding revolution opens the perspective for holistic ecosystems biological studies of these organisms, in particular the unicellular microalgae that often lack distinctive morphological characters and have complex life cycles. To interpret environmental sequences, metabarcoding necessarily relies on taxonomically curated databases containing reference sequences of the targeted gene (or barcode) from identified organisms. To date, no such reference framework exists for photosynthetic eukaryotes. In this study, we built the PhytoREF data- base that contains 6490 plastidial 16S rDNA reference sequences that originate from a large diversity of eukaryotes representing all known major photosynthetic lineages. We compiled 3333 amplicon sequences available from public databases and 879 sequences extracted from plastidial genomes, and generated 411 novel sequences from cultured marine microalgal strains belonging to different eukaryotic lineages. A total of 1867 environmental Sanger 16S rDNA sequences were also included in the database. Stringent quality filtering and a phylogeny-based taxonomic classifica- tion were applied for each 16S rDNA sequence. The database mainly focuses on marine microalgae, but sequences from land plants (representing half of the PhytoREF sequences) and freshwater taxa were also included to broaden the applicability of PhytoREF to different aquatic and terrestrial habitats. PhytoREF, accessible via a web interface (http://phytoref.fr), is a new resource in molecular ecology to foster the discovery, assessment and monitoring of the diversity of photosynthetic eukaryotes using high-throughput sequencing.}, keywords = {2015, MACUMBA, rcc, RCC?o?dd, SBR$_\textrmP$hyto$_\textrmD$IPO, SBR$_\textrmP$hyto$_\textrmE$PPO, sbr?hyto$_\textrmd$ipo, sbr?hyto?ppo}, issn = {1755098X}, doi = {10.1111/1755-0998.12401}, url = {http://doi.wiley.com/10.1111/1755-0998.12401}, author = {Decelle, Johan and Romac, Sarah and Stern, Rowena F. and Bendif, El Mahdi and Zingone, Adriana and Audic, St{\'e}phane and Guiry, Michael D. and Guillou, Laure and Tessier, D{\'e}sir{\'e} and Le Gall, Florence and Gourvil, Priscillia and dos Santos, Adriana Lopes and Probert, Ian and Vaulot, Daniel and de Vargas, Colomban and Christen, Richard} }