@booklet {barton_novel_2023,
	title = {A novel fluoro-electrochemical technique for classifying diverse marine nanophytoplankton},
	year = {2023},
	month = {apr},
	publisher = {Life Sciences},
	type = {preprint},
	abstract = {<p>To broaden our understanding of pelagic ecosystem responses to environmental change, it is essential that we improve the spatio-temporal resolution of in situ monitoring of phytoplankton communities. A key challenge for existing methods is in classifying and quantifying cells within the nanophytoplankton size range (2-20{\textmu}m). This is particularly difficult when there are similarities in morphology, making visual differentiation difficult for both trained taxonomists and machine learning based approaches. Here we present a rapid fluoro-electrochemical technique for classifying nanophytoplankton, and using a library of 52 diverse strains of nanophytoplankton we assess the accuracy of this technique based on two measurements at the individual level: charge required to reduce per cell chlorophyll a fluorescence by 50\%, and cell radius. We demonstrate a high degree of accuracy overall (\&gt;90\%) in categorising cells belonging to widely recognised key functional groups, however this is reduced when we consider the broader diversity of {\textquotedblleft}nano-phytoflagellates{\textquotedblright}. Notably, we observe that some groups, for example calcifying Isochrysidales, have much greater resilience to electrochemically driven oxidative conditions relative to others of a similar size, making them more easily categorised by the technique. The findings of this study present a promising step forward in advancing our toolkit for monitoring phytoplankton communities. We highlight that, for improved categorisation accuracy, future iterations of the method can be enhanced by measuring additional predictor variables with minimal adjustments to the set-up. In doing so, we foresee this technique being highly applicable, and potentially invaluable, for in situ classification and enumeration of the nanophytoplankton size fraction.</p>
},
	keywords = {RCC1, rcc1084, RCC1130, RCC1150, RCC1178, RCC1185, RCC1198, RCC1216, rcc1217, RCC1242, RCC1314, RCC1346, RCC1489, RCC1511, RCC1546, RCC1557, RCC1614, rcc1731, RCC191, RCC2570, RCC3598, RCC3696, RCC3776, RCC3780, RCC4207, RCC4221, RCC4273, RCC4657, RCC4660, RCC6, RCC623, RCC6516, RCC656, RCC678, RCC69, RCC74, RCC76, RCC8, RCC80, RCC81, RCC88, RCC911, RCC950},
	doi = {10.1002/lom3.10572},
	url = {https://aslopubs.onlinelibrary.wiley.com/doi/10.1002/lom3.10572},
	author = {Barton, Samuel and Yang, Minjun and Chen, Haotian and Batchelor-McAuley, Christopher and Compton, Richard and Bouman, Heather and Rickaby, Rosalind}
}
@article {fenizia_cysteinolic_2021,
	title = {Cysteinolic Acid Is a Widely Distributed Compatible Solute of Marine Microalgae},
	journal = {Marine Drugs},
	volume = {19},
	number = {12},
	year = {2021},
	note = {Number: 12 Publisher: Multidisciplinary Digital Publishing Institute},
	month = {dec},
	pages = {683},
	abstract = {Phytoplankton rely on bioactive zwitterionic and highly polar small metabolites with osmoregulatory properties to compensate changes in the salinity of the surrounding seawater. Dimethylsulfoniopropionate (DMSP) is a main representative of this class of metabolites. Salinity-dependent DMSP biosynthesis and turnover contribute significantly to the global sulfur cycle. Using advanced chromatographic and mass spectrometric techniques that enable the detection of highly polar metabolites, we identified cysteinolic acid as an additional widely distributed polar metabolite in phytoplankton. Cysteinolic acid belongs to the class of marine sulfonates, metabolites that are commonly produced by algae and consumed by bacteria. It was detected in all dinoflagellates, haptophytes, diatoms and prymnesiophytes that were surveyed. We quantified the metabolite in different phytoplankton taxa and revealed that the cellular content can reach even higher concentrations than the ubiquitous DMSP. The cysteinolic acid concentration in the cells of the diatom Thalassiosira weissflogii increases significantly when grown in a medium with elevated salinity. In contrast to the compatible solute ectoine, cysteinolic acid is also found in high concentrations in axenic algae, indicating biosynthesis by the algae and not the associated bacteria. Therefore, we add this metabolite to the family of highly polar metabolites with osmoregulatory characteristics produced by phytoplankton.},
	keywords = {cysteinolic acid, diatoms, DMSP, ectoine, LC/MS analysis, osmoadaptation, osmoregulation, phytoplankton, RCC76, salinity},
	doi = {10.3390/md19120683},
	url = {https://www.mdpi.com/1660-3397/19/12/683},
	author = {Fenizia, Simona and Weissflog, Jerrit and Pohnert, Georg}
}
@article {Gebser2020,
	title = {Phytoplankton-derived zwitterionic gonyol and dimethylsulfonioacetate interfere with microbial dimethylsulfoniopropionate sulfur cycling},
	journal = {MicrobiologyOpen},
	number = {February},
	year = {2020},
	note = {tex.mendeley-tags: RCC1731,RCC75,RCC76RCC1217,RCC841},
	month = {feb},
	pages = {e1014},
	keywords = {rcc1217, rcc1731, RCC75, RCC76, RCC841, school of life sciences, university of essex},
	issn = {20458827},
	doi = {10.1002/mbo3.1014},
	url = {http://doi.wiley.com/10.1002/mbo3.1014},
	author = {Gebser, Bj{\"o}rn and Thume, Kathleen and Steinke, Michael and Pohnert, Georg}
}
@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.}
}
