@article {gomez_molecular_2022,
	title = {Molecular phylogeny of the spiny-surfaced species of the dinoflagellate Prorocentrum with the description of P. Thermophilum sp. nov. and P. criophilum sp. nov. (Prorocentrales, Dinophyceae)},
	journal = {Journal of Phycology},
	volume = {n/a},
	number = {n/a},
	year = {2022},
	note = {_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/jpy.13298},
	abstract = {Spiny-surfaced species of Prorocentrum forms harmful algal blooms, and its taxonomic identity is obscure due to the size and shape variability. Molecular phylogenies reveal two major clades: one for P. cordatum with sequences mainly retrieved as P. minimum, and other for P. shikokuense with sequences also retrieved as P. dentatum and P. donghaiense. Several closely related clades still need to be characterized. Here, we provide SSU- and LSU rRNA, and ITS gene sequences of the strain CCMP3122 isolated from Florida (initially named P. donghaiense) and strains Prorocentrum sp. RCC6871{\textendash}2 from the Ross Sea, Antarctica. We describe Prorocentrum thermophilum sp. nov. based on the strain CCMP3122, a species also distributed in the open waters of Gulf of Mexico, New Zealand and the Arabian Gulf; and Prorocentrum criophilum sp. nov. based on the strain RCC6872, which is distributed in the Antarctic Ocean and the Arctic Sea. Prorocentrum thermophilum is roundish ( 14 μm long, 12 μm wide), with an inconspicuous anterior spine-like prolongation under light microscopy, valves with tiny, short knobs (5{\textendash}7 per μm2), and several (<7) large trichocyst pores ( 0.3 μm) in the right valve, as well as smaller pores ( 0.15 μm). Prorocentrum criophilum is round in valve view ( 11 μm long, 10 μm wide) and asymmetrically roundish in lateral view, the periflagellar area was not discernible under light microscopy, valves with very tiny, short knobs (6{\textendash}10 per μm2), and at least twelve large pores in the right valve. Other potentially undescribed species of spiny-surfaced Prorocentrum are discussed},
	keywords = {Dinophyta, HABs, harmful algae blooms, molecular phylogenetics, new species, Prorocentraceae, RCC6871, RCC6872, taxonomy},
	issn = {1529-8817},
	doi = {10.1111/jpy.13298},
	url = {http://onlinelibrary.wiley.com/doi/abs/10.1111/jpy.13298},
	author = {G{\'o}mez, Fernando and Gourvil, Priscillia and Li, Tangcheng and Huang, Yulin and Zhang, Huan and Courcot, Lucie and Artigas, Luis F. and Soler On{\'\i}s, Emilio and Gutierrez-Rodriguez, Andres and Lin, Senjie}
}
@article {Moutier2017,
	title = {Evolution of the scattering properties of phytoplankton cells from flow cytometry measurements},
	journal = {PLoS ONE},
	volume = {12},
	number = {7},
	year = {2017},
	note = {ISBN: 1111111111 tex.mendeley-tags: RCC1,RCC950},
	abstract = {Combining a modern, data-analytic perspective with a focus on applications in the social sciences, the Second Edition of Applied Regression Analysis and Generalized Linear Models provides in-depth coverage of regression analysis, generalized linear models, and closely related methods. Although the text is largely accessible to readers with a modest background in statistics and mathematics, author John Fox also presents more advanced material throughout the book. Key Updates to the Second Edition:Provides greatly enhanced coverage of generalized linear models, with an emphasis on models for categorical and count data Offers new chapters on missing data in regression models and on methods of model selection Includes expanded treatment of robust regression, time-series regression, nonlinear regression, and nonparametric regression Incorporates new examples using larger data sets Includes an extensive Web site at http://www.sagepub.com/fox that presents appendixes, data sets used in the book and for data-analytic exercises, and the data-analytic exercises themselves Intended Audience: This core text will be a valuable resource for graduate students and researchers in the social sciences (particularly sociology, political science, and psychology) and other disciplines that employ linear and related models for data analysis. High Praise for the First Edition: Even though the book is written with social scientists as the target audience, the depth of material and how it is conveyed give it far broader appeal. Indeed, I recommend it as a useful learning text and resource for researchers and students in any field that applies regression or linear models (that is, most everyone), including courses for undergraduate statistics majors.... The author is to be commended for giving us this book, which I trust will find a wide and enduring readership.-JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION [T]his wonderfully comprehensive book focuses on regression analysis and linear models.... We enthusiastically recommend this book {\textemdash} having used it in class, we know that it is thorough and well liked by students. -CHANCE},
	keywords = {RCC1, RCC950},
	issn = {19326203},
	doi = {10.1371/journal.pone.0181180},
	author = {Moutier, William and Dufor{\^e}t-Gaurier, Lucile and Thyssen, M{\'e}lilotus and Loisel, Hubert and M{\'e}riaux, Xavier and Courcot, Lucie and Dessailly, David and R{\^e}ve, Anne H{\'e}l{\`e}ne and Gr{\'e}gori, Gerald and Alvain, S{\'e}verine and Barani, Aude and Brutier, Laurent and Dugenne, Mathilde}
}
