Entries

Nelis, J.L.L., D. Migliorelli, L. Mühlebach, S. Generelli, L. Stewart, C.T. Elliott, and K. Campbell. 2021. Highly sensitive electrochemical detection of the marine toxins okadaic acid and domoic acid with carbon black modified screen printed electrodes. Talanta 228: 22215.

Guallar, C., A. Chapelle, and C. Bacher. 2021. Realised niche and suitability index highlight spatial and temporal distribution of toxic phytoplankton species. Mar. Ecol. Prog. Ser. 662: 15-34. [includes Pseudo-nitzschia fraudulenta, P. australis]

Moore, S.K., J.B. Mickett, G.J. Doucette, N.G. Adams, C.M. Mikulski, J.M. Birch, B. Roman, N. Michel-Hart, and J.A. Newton. 2021. An autonomous platform for near real-time surveillance of harmful algae and their toxins in dynamic coastal shelf environments. J. Mar. Sci. Eng. 9: 336. [discusses domoic acid, Pseudo-nitzschia australis, P. fraudulenta, P. multiseries, P. pungens]

Houliez, E., S. Lefebvre, A. Dessier, M. Huret, E. Marquis, M. Bréret, and C. Dupuy. 2021. Spatio-temporal drivers of microphytoplankton community in the Bay of Biscay: do species ecological niches matter? Prog. Oceanogr. 194: 102558. [includes Pseudo-nitzschia spp.]

Sala, S.E., A.A. Vouilloud, C.A. Popovich, M.V. Sanchez-Puerta, G.O. Almandoz, B.M. Coy, N.G. Montoya, and P. Leonardi. 2021. Molecular, morphological, and toxinological characterizations of an Argentinean strain of Halamphora coffeaeformis with potential biotechnological applications. J. Appl. Phycol. 33: 799-806. [no domoic acid was detected in this strain of H. coffeaeformis]

Twining, B.S., O. Antipova, P.D. Chappell, N.R. Cohen, J.E. Jacquot, E.L. Mann, A. Marchetti, D.C. Ohnemus, S. Rauschenberg, and A. Tagliabue. 2021. Taxonomic and nutrient controls on phytoplankton iron quotas in the ocean. Limnol. Oceanogr. Let. 6: 96-106. [includes Pseudo-nitzschia]

Mann, D.G., R. Trobajo, S. Sato, C. Li, A. Witkowski, F. Rimet, M.P. Ashworth, R.M. Hollands, and EC. Theriot. 2021. Ripe for reassessment: a synthesis of available molecular data for the speciose diatom family Bacillariaceae. Mol. Phylogenet. Evol. 158: 106985. [includes Pseudo-nitzschia]

Aláez, F.M.B., J.M.T. Palenzuela, E. Spyrakos, and L.G. Vilas. 2021. Machine learning methods applied to the prediction of Pseudo-nitzschia spp. blooms in the Galician Rias Baixas (NW Spain). ISPRS Int. J. Geo-Inf. 10: 199.

Kelly, K.J., F.-X. Fu, X. Jiang, H. Li, D. Xu, N. Yang, M. DeMers, J.D. Kling, K. Gao, N. Ye, and D.A. Hutchins. 2021. Interactions between ultraviolet B radiation, warming, and changing nitrogen source may reduce the accumulation of toxic Pseudo-nitzschia multiseries biomass in future coastal oceans  Front. Mar. Sci. 8: 664302.

Bender, S.J., C.A. Durkin, C.T. Berthiaume, R.L. Morales, and E.V. Armbrust. 2014. Transcriptional responses of three model diatoms to nitrate limitation of growth. Front. Mar. Sci. Volume 1, Article 3, p. 1-15. [includes Pseudo-nitzschia multiseries]