@article {Gaignard2019,
	title = {Screening of marine microalgae: Investigation of new exopolysaccharide producers},
	journal = {Algal Research},
	volume = {44},
	year = {2019},
	note = {tex.ids= Gaignard2019a tex.mendeley-tags: RCC1084,RCC1196,RCC1504,RCC1714,RCC1774,RCC1786,RCC1863,RCC1978,RCC1983,RCC2035,RCC232,RCC2350,RCC2352,RCC2368,RCC2380,RCC2381,RCC2383,RCC2436,RCC2558,RCC2598,RCC2608,RCC2614,RCC2624,RCC2638,RCC269,RCC2696,RCC2703,RCC2932,RCC3069,RCC3072,RCC3092,RCC3093,RCC3436,RCC3649,RCC377,RCC4094,RCC4438,RCC4555,RCC4621,RCC4631,RCC4657,RCC76,RCC775,RCC821,RCC97 publisher: Elsevier},
	month = {dec},
	pages = {101711},
	abstract = {Biopolymers, such as exopolysaccharides are widely exploited by industry as hydrocolloids (gelling, thickening agents) and biological agents (anti-inflammatory, anti-parasitic, antioxidant, etc.). In this study, 166 marine microalgae and cyanobacteria species have been screened in order to identify strains producing original exopolysaccharides. This screening allowed the highlighting of 45 positive strains. In a second time, the monosaccharide compositions from 20 EPS of them were determined by GC/MS and HPAEC-PAD. The results led to a discovery of 8 new genera of microalgae producing EPS, including polymers with a very original composition like richness in GlcA. Finally, a phylogenic tree has been contructed in order to assess the link between the phylogeny of microalgae and the global composition of their exopolymers, based on data obtained in this study and from the literature.},
	keywords = {rcc1084, RCC1196, RCC1504, RCC1714, RCC1774, RCC1786, RCC1863, RCC1978, RCC1983, RCC2035, RCC232, RCC2350, RCC2352, RCC2368, rcc2380, RCC2381, RCC2383, RCC2436, RCC2558, RCC2598, RCC2608, RCC2614, RCC2624, RCC2638, RCC269, RCC2696, RCC2703, RCC2932, RCC3069, RCC3072, RCC3092, RCC3093, RCC3436, RCC3649, RCC377, RCC4094, RCC4438, RCC4555, RCC4621, RCC4631, RCC4657, RCC76, RCC775, RCC821, RCC97},
	issn = {22119264},
	doi = {10.1016/j.algal.2019.101711},
	url = {https://www.sciencedirect.com/science/article/pii/S2211926419303261 https://linkinghub.elsevier.com/retrieve/pii/S2211926419303261},
	author = {Gaignard, C. and Laroche, C. and Pierre, G. and Dubessay, P. and Delattre, C. and Gardarin, C. and Gourvil, P. and Probert, I. and Dubuffet, A. and Michaud, P.}
}
@article {Delmont2018,
	title = {Linking pangenomes and metagenomes: the Prochlorococcus metapangenome},
	journal = {PeerJ},
	volume = {6},
	year = {2018},
	note = {ISBN: 2167-8359 tex.mendeley-tags: RCC156,RCC158,RCC162,RCC269,RCC278,RCC296,RCC3377,RCC407},
	pages = {e4320},
	abstract = {Pangenomes offer detailed characterizations of core and accessory genes found in a set of closely related microbial genomes, generally by clustering genes based on sequence homology. In comparison, metagenomes facilitate highly resolved investigations of the relative distribution of microbial genomes and individual genes across environments through read recruitment analyses. Combining these complementary approaches can yield unique insights into the functional basis of microbial niche partitioning and fitness, however, advanced software solutions are lacking. Here we present an integrated analysis and visualization strategy that provides an interactive and reproducible framework to generate pangenomes and to study them in conjunction with metagenomes. To investigate its utility, we applied this strategy to a Prochlorococcus pangenome in the context of a large-scale marine metagenomic survey. The resulting Prochlorococcus metapangenome revealed remarkable differential abundance patterns between very closely related isolates that belonged to the same phylogenetic cluster and that differed by only a small number of gene clusters in the pangenome. While the relationships between these genomes based on gene clusters correlated with their environmental distribution patterns, phylogenetic analyses using marker genes or concatenated single-copy core genes did not recapitulate these patterns. The metapangenome also revealed a small set of core genes that mostly occurred in hypervariable genomic islands of the Prochlorococcus populations, which systematically lacked read recruitment from surface ocean metagenomes. Notably, these core gene clusters were all linked to sugar metabolism, suggesting potential benefits to Prochlorococcus from a high sequence diversity of sugar metabolism genes. The rapidly growing number of microbial genomes and increasing availability of environmental metagenomes provide new opportunities to investigate the functioning and the ecology of microbial populations, and metapangenomes can provide unique insights for any taxon and biome for which genomic and sufficiently deep metagenomic data are available.},
	keywords = {RCC156, RCC158, rcc162, RCC269, RCC278, rcc296, RCC3377, RCC407},
	issn = {2167-8359},
	doi = {10.7717/peerj.4320},
	url = {https://peerj.com/articles/4320},
	author = {Delmont, Tom O. and Eren, A. Murat}
}
@article {Moldovan2018,
	title = {Pangenomic definition of prokaryotic species and the phylogenetic structure of prochlorococcus spp.},
	journal = {Frontiers in Microbiology},
	volume = {9},
	number = {March},
	year = {2018},
	note = {tex.mendeley-tags: RCC158,RCC162,RCC269,RCC278,RCC3307,RCC407},
	pages = {1{\textendash}11},
	keywords = {monophyly, pangenome, paraphyly, prokaryotic species, RCC158, rcc162, RCC269, RCC278, RCC3307, RCC407, species definition, taxonomy},
	issn = {1664-302X},
	doi = {10.3389/fmicb.2018.00428},
	url = {http://journal.frontiersin.org/article/10.3389/fmicb.2018.00428/full},
	author = {Moldovan, Mikhail A. and Gelfand, Mikhail S.}
}
