Go to content

References

Andersson A, Karlson B, Andersson AF, Brugel S, Latz M, Lycken J, Hedblom M, Torstensson A, Lindh M (2022). DNA extraction protocol for DNA-metabarcoding of marine phytoplankton using Zymobiomics DNA minprep kit (Zymo Research; D4300). Protocols.io. Retrieved from dx.doi.org/10.17504/protocols.io.bucjnsun
Andersson A, Karlson B, Andersson AF, Torstensson A, Brugel S, Latz MAC, Jurdzinski KT, Hedblom M, Lycken J, Lindh MV (2024). DNA-streckkodning av marina växtplankton - ett nytt verktyg i miljöövervakningen. Rapport 7143. 75 pp. Naturvårdsverket. Retrieved from: https://www.naturvardsverket.se/49e041/globalassets/media/publikationer-pdf/7100/978-91-620-7143-1.pdf
Dzhembekova N, Moncheva S, Ivanova P, Slabakova N, Nagai S (2018). Biodiversity of phytoplankton cyst assemblages in surface sediments of the Black Sea based on metabarcoding. Biotechnology and Biotechnological Equipment 32(6), 1507–1513. DOI: https://doi.org/10.1080/13102818.2018.1532816
Edler L, Elbrächter M (2010). The Utermöhl method for quantitative phytoplankton analysis, In: Karlson, B., Cusack, C., Bresnan, E. (Eds.), Microscopic and molecular methods for quantitative phytoplankton analysis. UNESCO, Paris, pp. 13-20. Retrieved from: https://unesdoc.unesco.org/ark:/48223/pf0000187824
HELCOM (2017). Manual for Marine Monitoring in the COMBINE Programme of HELCOM. Retrieved from: https://helcom.fi/wp-content/uploads/2020/02/Manual-for-Marine-Monitoring-in-the-COMBINE-Programme-of-HELCOM.pdf
HELCOM (2024), HELCOM Guidelines on monitoring of phytoplankton species composition, abundance and biomass. Retrieved from: https://helcom.fi/wp-content/uploads/2024/09/Guidelines-for-monitoring-of-phytoplankton-species-composition-abundance-and-biomass.pdf  
Jacobsen Á, Vang A, Salter I, Juul-Pedersen T, Sveinsson S, Pampoulie C, Wangensteen O, Præbel K, Mikalsen S-O, Djurhuus A, Pálsson S, Gíslason D (2023). Perspectives on implementation of eDNA methods in Northeast Atlantic marine monitoring: A basis for researchers and stakeholders to discuss challenges and ambitions. Copenhagen: Nordisk Ministeråd. DOI: https://doi.org/10.6027/temanord2023-517 [F1] 
Jerney J, Hällfors H, Oja J, Reunamo A, Suikkanen S, Lehtinen S (2022). Guidelines for using environmental DNA in Finnish marine phytoplankton monitoring. Improved biodiversity assessment through method complementation. Reports of the Finnish Environment Institute 40/2022. Retrieved from https://helda.helsinki.fi/handle/10138/351131
Jerney J, Hällfors H, Jakobsen H, et al. (2023). DNA metabarcoding: Guidelines to monitor phytoplankton diversity and distribution in marine and brackish waters. Copenhagen: Nordisk Ministerråd. DOI: https://doi.org/10.6027/temanord2023-505
Latz MAC, Andersson A, Brugel S et al. (2024). A comprehensive dataset on spatiotemporal variation of microbial plankton communities in the Baltic Sea. Sci Data 11, 18. DOI: https://doi.org/10.1038/s41597-023-02825-5
Lundholm N, Churro C, Escalera L, Fraga S, Hoppenrath M, Iwataki, M, Larsen J, Mertens K, Moestrup Ø, Murray S, Tillmann U, Zingone A (2024). IOC-UNESCO Taxonomic Reference List of Harmful Micro Algae. Retrieved from: https://www.marinespecies.org/hab/
Nagai S, Sildever S, Nishi N, Tazawa S, Basti L, Kobayashi T, Ishino Y (2022) Comparing PCR-generated artifacts of different polymerases for improved accuracy of DNA metabarcoding. Metabarcoding and Metagenomics 6: e77704. DOI: https://doi.org/10.3897/mbmg.6.77704
OSPAR, 2016. OSPAR Coordinated Environmental Monitoring Programme (CEMP). OSPAR Agreement 2016-01. Retrieved from: https://www.ospar.org/documents?v=32943
Salmaso N, Riccioni G, Pindo M, Kurmayer R, Vasselon V, Domaizon I (2021a). Metabarcoding protocol – Analysis of protists using the 18S rRNA gene and a DADA2 pipeline (Version 1). Zenodo. DOI: https://doi.org/10.5281/zenodo.5233527
Salmaso N, Riccioni G, Pindo M, Vasselon V, Domaizon I, Kurmayer R (2021b). Metabarcoding protocol – Analysis of Bacteria (including Cyanobacteria) using the 16S rRNA gene and a DADA2 pipeline (Version 1). Zenodo.  DOI: https://doi.org/10.5281/zenodo.5232772
Sildever S, Laas P, Kolesova N, Lips I, Lips U, Nagai S (2021). Plankton biodiversity and species co-occurrence based on environmental DNA – a multiple marker study. Metabarcoding and Metagenomics, 5, 175–197. DOI: https://doi.org10.3897/mbmg.5.72371
Sogin ML, Morrison HG, Huber JA, Mark Welch D, Huse SM, Neal PR, Arrieta JM, Herndl GJ (2006). Microbial diversity in the deep sea and the underexplored "rare biosphere". PNAS, 103(32),12115-20. DOI: https://doi.org/10.1073/pnas.0605127103.
Utermöhl H (1931). Neue Wege in der quantitativen Erfassung des Planktons (mit besonderer Berücksichtigung des Ultraplanktons). Verh. int. Ver. theor. angew. Limnology 5(2), 567-596.
Utermöhl H (1958). Zur Vervollkomnung der quantitativen Phytoplankton-Methodik. Mitt. int. Ver. ther. angew. Limnology 9, 1-38.
Yarimizu K, Fujiyoshi S, Kawai M, Norambuena L, Cascales E-K, Rilling JI, Vilugrón J, Cameron H, Vergara K, Morón-López J, Acuña JJ, Gajardo G, Espinoza O, Guzmán L, Jorquera MA, Nagai S, Pizarro G, Riquelme C, Ueki S, Maruyama F (2020). Protocols for monitoring harmful algal blooms for sustainable aquaculture and coastal fisheries in Chile. Int. J. Environ. Res. Public Health, 17, 7642. DOI: https://doi.org/10.3390/ijerph17207642