Open Access
Int. J. Lim.
Volume 59, 2023
Article Number 8
Number of page(s) 15
Published online 18 September 2023
  • Adl SM, Bass D, Lane CE, Lukeš J, Schoch CL, Smirnov A, Agatha S, Berney C, Brown MW, Burki F, Cárdenas P, Čepička I, Chistyakova L, Campo J del, Dunthorn M, Edvardsen B, Eglit Y, Guillou L,Hampl V, Heiss AA, Hoppenrath M, James TY, Karnkowska A, Karpov S,Kim E, Kolisko M, Kudryavtsev A, Lahr DJG, Lara E, Gall LL, Lynn DH,Mann DG, Massana R, Mitchell EAD, Morrow C, Park JS, Pawlowski JW,Powell MJ, Richter DJ, Rueckert S, Shadwick L, Shimano S, Spiegel FW,Torruella G, Youssef N, Zlatogursky V, Zhang Q. 2019. Revisions to the classification, nomenclature, and diversity of eukaryotes. J Eukary Microbiol 66: 4–119. [CrossRef] [PubMed] [Google Scholar]
  • Altschul SF, Gertz EM, Agarwala R, Schäffer AA, Yu YK. 2009. PSI-BLAST pseudocounts and the minimum description length principle. Nucleic Acids Res 37: 815–824. [CrossRef] [PubMed] [Google Scholar]
  • Baričević A, Chardon C, Kahlert M, Karjalainen SM, Maric Pfannkuchen D, Pfannkuchen M, Rimet F, Smodlaka Tankovic M,Trobajo R, Vasselon V, Zimmermann J, Bouchez A. 2022. Best practice recommendations for sample preservation in metabarcoding studies: a case study on diatom environmental samples. Metabarcod Metagenom 6: 349–365. [Google Scholar]
  • Bennke CM, Pollehne F, Müller A, Hansen R, Kreikemeyer B, Labrenz M. 2018. The distribution of phytoplankton in the Baltic Sea assessed by a prokaryotic 16S rRNA gene primer system. J Plankton Res 40: 244–254. [CrossRef] [Google Scholar]
  • Blancher P, Lefrançois E, Rimet F, Vasselon V, Argillier C, Arle J, Beja P, Boets P, Boughaba J, Chauvin C, Deacon M, Duncan W, Ejdung G, Erba S, Ferrari B, Fischer H, Hänfling B, Haldin M, Hering D, Hette-Tronquart N, Hiley A, Järvinen M, Jeannot B, Kahlert M, Kelly M, Kleinteich J, Koyuncuoğlu S, Krenek S, Langhein-Winther S, Leese F, Mann D, Marcel R, Marcheggiani S, Meissner K, Mergen P, Monnier O, Narendja F, Neu D, Pinto VO, Pawlowska A, Pawlowski J, Petersen M, Poikane S, Pont D, Renevier MS, Sandoy S, Svensson J, Trobajo R, Zagyva AT, Tziortzis I, van der Hoorn F B, Vasquez MI, Walsh K, Weigand A, Bouchez A. 2022. A strategy for successful integration of DNA-based methods in aquatic monitoring. Metabarcod Metagenom 6: 215–226. [Google Scholar]
  • Bodenhofer U, Bonatesta E, Horejš-Kainrath C, Hochreiter S. 2015. MSA: an R package for multiple sequence alignment. Bioinformatics 31: 3997–3999. [CrossRef] [PubMed] [Google Scholar]
  • Brown PD, Craine JM, Richards D, Chapman A, Marden B. 2022. DNA metabarcoding of the phytoplankton of Great Salt Lake's Gilbert Bay: spatiotemporal assemblage changes and comparisons to microscopy. J Great Lakes Res 48: 110–124. [CrossRef] [Google Scholar]
  • Bruce K, Blackman R, Bourlat SJ, Hellström AM, Bakker J, Bista I, Bohmann K, Bouchez A, Brys R, Clark K, Elbrecht V, Fazi S, Fonseca V, Hänfling B, Leese F, Mächler E, Mahon AR, Meissner K, Panksep K, Pawlowski J, Schmidt Yáñez P, Seymour M, Thalinger B,Valentini A, Woodcock P, Traugott M, Vasselon V, Deiner K. 2021. A practical guide to DNA-based methods for biodiversity assessment. Adv Books. [Google Scholar]
  • Cardinale BJ, Duffy JE, Gonzalez A, Hooper DU, Perrings C, Venail P, Narwani A, Mace GM, Tilman D, Wardle DA, Kinzig AP, Daily GC, et al., 2012. Biodiversity loss and its impact on humanity. Nature 486:59–67. [CrossRef] [PubMed] [Google Scholar]
  • Callahan BJ, McMurdie PJ, Rosen MJ, Han AW, Johnson AJA, Holmes SP. 2016. DAD A2: high-resolution sample inference from Illumina amplicon data. Nat Methods 13: 581–583. [CrossRef] [PubMed] [Google Scholar]
  • Canino A, Bouchez A, Laplace-Treyture C, Domaizon I, Rimet F. 2021. Phytool, a ShinyApp to homogenise taxonomy of freshwater microalgae from DNA barcodes and microscopic observations. Metabarcod Metagenom 5: 199. [Google Scholar]
  • Capo E, Domaizon I, Maier D, Debroas D, Bigler C. 2017. To what extent is the DNA of microbial eukaryotes modified during burying into lake sediments? A repeat-coring approach on annually laminated sediments. J Paleolimnol 58: 479–495. [Google Scholar]
  • Caporaso JG, Lauber CL, Walters WA, Berg-Lyons D, Lozupone CA, Turnbaugh PJ, Fierer N, Knight R. 2011. Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample. Proc Natl Acad Sci 108: 4516–4522. [CrossRef] [PubMed] [Google Scholar]
  • CEN. 2006. Water quality − E N15204: 2006–Guidance standard on the enumeration of phytoplankton using inverted microscopy (Utermöhl technique), 1–42. [Google Scholar]
  • CEN. 2018a. Water quality − CEN/TR 17244-Technical report for the management of diatom barcodes, 1–11. [Google Scholar]
  • CEN. 2018b. Water quality − CEN/TR 17245-Technical report for the routine sampling of benthic diatoms from rivers and lakes adapted for metabarcoding analyses. CEN/TC 230/WG23, Aquatic Macrophytes and Algae, 1–8. [Google Scholar]
  • Cock PJ, Antao T, Chang JT, Chapman BA, Cox CJ, Dalke A, Friedberg I, Hamelryck T, Kauff F, Wilczynski B, de Hoon MJ. 2009. Biopython: freely available Python tools for computational molecular biology and bioinformatics. Bioinformatics 25: 1422–3. [CrossRef] [PubMed] [Google Scholar]
  • Cole JR, Wang Q, Fish JA, Chai B, McGarrell DM, Sun Y, Brown CT, Porras-Alfaro A, Kuske CR, Tiedje JM. 2014. Ribosomal database project: data and tools for high throughput rRNA analysis. Nucl Acids Res 42: 633–642. [Google Scholar]
  • Costa NB, Kolman MA, Giani A. 2016. Cyanobacteria diversity in alkaline saline lakes in the Brazilian Pantanal wetland: a polyphasic approach. J Plankton Res 38: 1389–1403. [Google Scholar]
  • Craine JM, Henson MW, Cameron Thrash J, Hanssen J, Spooner G, Fleming P, Pukonen M, Stahr F, Spaulding S, Fierer N. 2018. Environmental DNA reveals the structure of phytoplankton assemblages along a 2900-km transect in the Mississippi River. bioRxiv 261727. [Google Scholar]
  • Debroas D, Hugoni M, Domaizon I. 2015. Evidence for an active rare biosphere within freshwater protists community. Mol Ecol 24: 1236–1247. [CrossRef] [PubMed] [Google Scholar]
  • Decelle J, Romac S, Stern RF, Bendif EM, Zingone A, Audic S, Guiry MD, Guillou L, Tessier D, Le Gall F, Gourvil P, Dos Santos AL, Probert I, Vaulot D, de Vargas C, Christen R. 2015. PhytoREF: a reference database of the plastidial 16S rRNA gene of photosynthetic eukaryotes with curated taxonomy. Mol Ecol Resour 15: 1435–1445. [CrossRef] [PubMed] [Google Scholar]
  • Del Campo J, Kolisko M, Boscaro V, Santoferrara LF, Nenarokov S, Massana R, Guillou L, Simpson A, Berney C, de Vargas C, Brown MW, Keeling PJ, Wegener Parfrey L. 2018. EukRef: Phylogenetic curation of ribosomal RNA to enhance understanding of eukaryotic diversity and distribution. PLoS Biol 16: e2005849. [CrossRef] [PubMed] [Google Scholar]
  • Djemiel C, Plassard D, Terrat S, Crouzet O, Sauze J, Mondy S, Nowak V, Wingate L, Ogée J, Maron PA. 2020. μgreen-db: a reference database for the 23S rRNA gene of eukaryotic plastids and cyanobacteria. Sci Rep 10: 5915. [CrossRef] [PubMed] [Google Scholar]
  • Djurhuus A, Mikalsen SO, Giebel HA, Rogers AD. 2017 Cutting through the smoke: the diversity of microorganisms in deep-sea hydrothermal plumes. Royal Soc Open Sci 4: 160829. [CrossRef] [Google Scholar]
  • Dokulil M, Teubner K, Greisberger S. 2005. Typenspezifische Referenzbedingungen für die integrierende Bewertung des okologischen Zustandes stehender Gewasser Österreichs gemss der EU-Wasserrahmenrichtlinie. Modul 1: Die Bewertung der Phytoplankton struktur nach dem Brettum-Index. Projektstudie Phase 3, Abschlussbericht. Im Auftrag des Bundesministeriums für Land- und Forstwirtschaft, Umwelt und Wasserwirtschaft, Wien.xx [Google Scholar]
  • Edgar RC. 2004 MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucl Acids Res 32: 1792–1797. [CrossRef] [Google Scholar]
  • Eiler A, Drakare S, Bertilsson S, Pernthaler J, Peura S, Rofner C, Simek K, Yang Y, Znachor P, Lindström ES. 2013. Unveiling distribution patterns of freshwater phytoplankton by a next generation sequencing based approach. PLoS ONE 8: e53516. [CrossRef] [PubMed] [Google Scholar]
  • European Commission. 2000 The European parliament and of the council. Water Framework Directive. Off. J. L 327: 1–73. [Google Scholar]
  • Filker S, Kühner S, Heckwolf M, Dierking J, Stoeck T. 2019. A fundamental difference between macrobiota and microbial eukaryotes: Protistan plankton has a species maximum in the freshwater-marine transition zone of the Baltic Sea. Environ Microbiol 21: 603–617. [CrossRef] [PubMed] [Google Scholar]
  • Füller NJ, Campbell C, Allen DJ, Pitt FD, Zwirglmaier K, Le Gall F, Vaulot D, Scanlan DJ. 2006. Analysis of photosynthetic picoeukaryote diversity at open ocean sites in the Arabian Sea using a PCR biased towards marine algal plastids. Aquat Microb Ecol 43: 79–93. [CrossRef] [Google Scholar]
  • Gold Z, Wall AR, Schweizer TM, Pentcheff ND, Curd EE, Barber PH, Meyer RS, Wayne R, Stolzenbach K, Prickett K, Luedy J, Wetzer R. 2022. A manager's guide to using eDNA metabarcoding in marine ecosystems. PeerJ 10: e14071. [CrossRef] [PubMed] [Google Scholar]
  • Guillou L, Bachar D, Audic S, Bass D, Berney C, Bittner L, Boutte C, Burgaud G, de Vargas C, Decelle J, del Campo J, Dolan JR, Dunthorn M, Edvardsen B, Holzmann M, Kooistra WHCF, Lara E, Le Bescot N, Logares R, Mahé F, Massana R, Montresor M, Morard R, Not F, Pawlowski J, Probert I, Sauvadet AL, Siano R, Stoeck T, Vaulot D, Zimmermann P, Christen R. 2013. The Protist Ribosomal Reference database (PR2): a catalog of unicellular eukaryote Small Sub-Unit rRNA sequences with curated taxonomy. Nucl Acids Res 41: D597– D604. [Google Scholar]
  • Hebert PD, Cywinska A, Ball SL, deWaard JR. 2003. Biological identifications through DNA barcodes. Proc Royal Soc B 270: 313–321. [CrossRef] [PubMed] [Google Scholar]
  • Herlemann DP, Labrenz M, Jürgens K, Bertilsson S, Waniek JJ, Andersson AF. 2011. Transitions in bacterial communities along the 2000 km salinity gradient of the Baltic Sea. ISME J 5: 1571–1579. [CrossRef] [PubMed] [Google Scholar]
  • Hug LA, Baker BJ, Anantharaman K, Brown CT, Probst AJ, Castelle CJ, Butterfield CN, Hernsdorf AW, Amano Y, Ise K, Suzuki Y, Dudek N, Relman DA, Finstad KM, Amundson R, Thomas BC, Banfield JF. 2016. A new view of the tree of life. Nat Microbiol 1: 16048. [CrossRef] [PubMed] [Google Scholar]
  • Ivanova NV, Watson LC, Comte J, Bessonov K, Abrahamyan A, Davis TW, Bullerjahn GS, Watson SB. 2019. Rapid assessment of phytoplankton assemblages using Next Generation Sequencing-Barcode of Life database: a widely applicable toolkit to monitor biodiversity and harmful algal blooms (HABs). bioRxiv 873034. [Google Scholar]
  • Jerney J, Hällfors H, Oja J, Reunamo A, Suikkanen S, Lehtinen S. 2022. Guidelines for using environmental DNA in Finnish marine phytoplankton. Reports of the Finnish Environment Institute 40. [Google Scholar]
  • Keck F, Millet L, Debroas D, Etienne D, Galop D, Rius D, Domaizon I. 2020. Assessing the response of micro-eukaryotic diversity to the Great Acceleration using lake sedimentary DNA. Nat Commun 11: 3831. [CrossRef] [PubMed] [Google Scholar]
  • Kermarrec L, Franc A, Rimet F, Chaumeil P, Humbert J.F, Bouchez A. 2013. Next Generation Sequencing to inventory taxonomic diversity in eukaryotic communities: a test for freshwater diatoms. Mol Ecol Resources 13: 607–619. [CrossRef] [PubMed] [Google Scholar]
  • Klindworth A, Pruesse E, Schweer T, Peplies J, Quast C, Horn M, Glöckner FO. 2013. Evaluation of general 16S ribosomal RNA gene PCR primers for classical and next-generation sequencing-based diversity studies. Nucl Acids Res 41: e1. [CrossRef] [PubMed] [Google Scholar]
  • Laplace-Treyture C, Feret T. 2016. Performance of the Phytoplankton Index for Lakes (IPLAC): a multimetric phytoplankton index to assess the ecological status of water bodies in France. Ecol Indic 69: 686–698. [CrossRef] [Google Scholar]
  • Martin M. 2011. Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet J 17: 10–12. [CrossRef] [Google Scholar]
  • Needham D, Fuhrman J. 2016. Pronounced daily succession of phytoplankton, archaea and bacteria following a spring bloom. Nat Microbiol 1: 16005. [CrossRef] [PubMed] [Google Scholar]
  • Nossa CW, Oberdorf WE, Yang L, Aas JA, Paster BJ, Desantis TZ, Brodie EL, Malamud D, Poles MA, Pei Z. 2010. Design of 16S rRNA gene primers for 454 pyrosequencing of the human foregut microbiome. World J Gastroenterol 16: 4135–4444. [CrossRef] [PubMed] [Google Scholar]
  • Nowinski B, Smith CB, Thomas CM, Esson R, Marin K, Preston CM et al. 2019. Microbial metagenomes and metatranscriptomes during a coastal phytoplankton bloom. Sci Data 6: 129. [CrossRef] [PubMed] [Google Scholar]
  • Nübel U, Garcia-Pichel F, Muyzer G. 1997. PCR primers to amplify 16S rRNA genes from cyanobacteria. Appl Environ Microbiol 63: 3327–3332. [CrossRef] [PubMed] [Google Scholar]
  • Parada AE, Needham DM, Fuhrman JA, 2016. Every base matters: assessing small subunit rRNA primers for marine microbiomes with mock communities, time series and global field samples. Environmental Microbiology 18:1403–1414. [CrossRef] [PubMed] [Google Scholar]
  • Pawlowski J, Kelly-Quinn M, Altermatt F, Apothéloz-Perret-Gentil L, Beja P, Boggero A, Borja A, Bouchez A, Cordier T, Domaizon I, Feio MJ, Filipe AF, et al., 2018. The future of biotic indices in the ecogenomic era: Integrating (e)DNA metabarcoding in biological assessment of aquatic ecosystems. Science of The Total Environment 637–638:1295–1310. [CrossRef] [Google Scholar]
  • Quast C, Pruesse E, Yilmaz P, Gerken J, Schweer T, Yarza P, Peplies J, Glöckner FO. 2013. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucl Acids Res 41: D590–596. [Google Scholar]
  • R Core Team. 2018. R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. [Google Scholar]
  • Reysenbach AL, Pace NR. 1995. Archaea: a laboratory manual—thermophiles. Robb FT, Place AR (Eds.), New York: Cold Spring Harbour Laboratory Press, pp. 101–107. [Google Scholar]
  • Rimet F, Chardon, C, Lainé L, Bouchez, A, Jacquet S, Domaizon, I, Guillard J. 2018a. Thonon Culture Collection −TCC- a freshwater microalgae collection. [Google Scholar]
  • Rimet F, Abarca N, Bouchez A, Kusber W, Jahn R, Kahlert M, Keck F, Kelly M, Mann DG, Piuz A, Trobajo R, Tapolczai K, Vasselon V, Zimmermann J. 2018b. The potential of High-Throughput Sequencing (HTS) of natural samples as a source of primary taxonomic information for reference libraries of diatom barcodes. Fottea 18: 37–54. [CrossRef] [Google Scholar]
  • Rimet F, Aylagas E, Borja A, Bouchez A, Canino A, Chauvin C, Chonova T, Čiampor FJr, Costa FO, Ferrari BJD, Gastineau R, Goulon C, Gugger M, Holzman M, Jahn R, Kahlert M, Kusber WH, Laplace-Treyture C, Leese F, Leliaert F, Mann DG, Marchand F, Méléder V, Pawlowski J, Rasconi S, Rougerie R, Schweizer M, Trobajo R, Vivien R, Weigand A, Witkowski A, Zimmermann J, Ekrem T. 2021. Metadata standards and practical guidelines for specimen and DNA curation when building DNA barcode reference libraries for aquatic life. Metabarcod Metagenom 5: e58056. [CrossRef] [Google Scholar]
  • Rudi K, Skulberg OM, Larsen F, Jakobsen KS. 1997. Strain characterization and classification of oxyphotobacteria in clone cultures on the basis of 16S rRNA sequences from the variable regions V6, V7, and V8. Appl Environ Microbiol 63: 2593–2599. [CrossRef] [PubMed] [Google Scholar]
  • Schirmer M, Ijaz UZ, D'Amore R, Hall N, Sloan WT, Quince C. 2015. Insight into biases and sequencing errors for amplicon sequencing with the Illumina MiSeq platform. Nucl Acids Res 43: e37. [CrossRef] [PubMed] [Google Scholar]
  • Schloss PD, Westcott SL, Ryabin T, Hall JR, Hartmann M, Hollister EB, Lesniewski RA, Oakley BB, Parks DH, Robinson CJ, Sahl JW, Stres B, Thallinger GG, Van Horn DJ, Weber CF. 2009. Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl Environ Microbiol 75: 7537–7541. [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  • Sherwood AR, Presting GG. 2007. Universal primers amplify a 23S rDNA plastid marker in eukaryotic algae and cyanobacteria. J Phycol 43: 605–608. [CrossRef] [Google Scholar]
  • Sildever S, Nishi N, Inaba N, Asakura T, Kikuchi J, Asano Y, Kobayashi T, Gojobori T, Nagai S. 2022. Monitoring harmful microalgal species and their appearance in Tokyo Bay, Japan, using metabarcoding. Metabarcod Metagenom 6: e 79471. [CrossRef] [Google Scholar]
  • Stern RF, Andersen RA, Jameson I, Küpper FC, Coffroth MA, Vaulot D, Gall FL, Véron B, Brand JJ, Skelton H, Kasai F, Lilly EL, Keeling PJ. 2012. Evaluating the Ribosomal Internal Transcribed Spacer (ITS) as a Candidate Dinoflagellate Barcode Marker. PLOS ONE 7:e42780. [CrossRef] [PubMed] [Google Scholar]
  • United States. 1972. Federal Water Pollution Control Act Amendments of 1972. Pub.L. 92–500. [Google Scholar]
  • Utermohl H. 1958 Zur Vervollkommung der quantitativen phytoplankton-methodik. Mitt Int Ver Limnol 9: 38. [Google Scholar]
  • Vasselon V, Rimet F, Domaizon I, Monnier O, Reyjol Y, Bouchez A. 2019. Assessing pollution of aquatic environments with diatoms' DNA metabarcoding: experience and developments from France water framework directive networks. Metabarcod Metagenom 3: 101–115. [Google Scholar]
  • Vasselon V, Ács É, Almeida S, Andree K, Apothéloz-Perret-Gentil L, Bailet B, Baricevic A, Beentjes K, Bettig J, Bouchez A, Capelli C, Chardon C, Duleba M, Elersek T, Genthon C, Hurtz M, Jacas L, Kahlert M, Kelly M, Lewis M, Macher JN, Mauri F, Moletta-Denat M, Mortágua A, Pawlowski J, Pérez Burillo J, Pfannkuchen M, Pilgrim E,Pissaridou P, Porter J, Rimet F, Stanic K, Tapolczai K, Theroux S,Trobajo R, van der Hoorn B, Vasquez Hadjilyra MI, Walsh K, Wanless D, Warren J,Zimmermann J, Zupančič M. 2021. The Fellowship of the Ring Test: DNAqua-Net WG2 initiative to compare diatom metabarcoding protocols used in routine freshwater biomonitoring for standardisation. ARPHA Conference Abstracts 4: e65142. [CrossRef] [Google Scholar]
  • Wang Q, Garrity GM, Tiedje JM, Cole JR. 2007. Naïve Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl Environ Microbiol 73: 5261–5267. [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  • Wang Z, Liu L, Tang Y, Li A, Liu C, Xie C, Xiao L, Lu S. 2022. Phytoplankton community and HAB species in the South China Sea detected by morphological and metabarcoding approaches. Harmful Algae 118: 102297. [CrossRef] [PubMed] [Google Scholar]
  • Watanabe K, Kodama Y, Harayama S. 2001. Design and evaluation of PCR primers to amplify bacterial 16S ribosomal DNA fragments used for community fingerprinting. J Microbiolog Methods 44: 253–262. [CrossRef] [Google Scholar]
  • Weigand H, Beermann AJ, Čiampor F, Costa FO, Csabai Z, Duarte S, Geiger MF, Grabowski M, Rimet F, Rulik B, Strand M, Szucsich N, Weigand AM, Willassen E, Wyler SA, Bouchez A, Borja A, Čiamporová-Zatovičová Z, Ferreira S, Dijkstra KD, Eisendle U, Freyhof J, Gadawski P, Graf W, Haegerbaeumer A, B van der Hoorn BB, Japoshvili B,Keresztes L, Keskin E, Leese F, Macher J, Mamos T, Paz G, Pešić V,Pfannkuchen DM, Pfannkuchen MA, Price BW, Rinkevich B, Teixeira MAL, Várbíró G, Ekrem T. 2019. DNA barcode reference libraries for the monitoring of aquatic biota in Europe: Gap-analysis and recommendations for future work. Sci Total Environ 678: 499–524. [CrossRef] [PubMed] [Google Scholar]
  • West NJ, Schönhuber WA, Fuller NJ, Amann RI, Rippka R, Post AF, Scanlan DJ. 2001. Closely related Prochlorococcus genotypes show remarkably different depth distributions in two oceanic regions as revealed by in situ hybridization using 16S rRNA-targeted oligonucleotides. Microbiology 147: 1731–1744. [CrossRef] [PubMed] [Google Scholar]
  • Yarimizu K, Fujiyoshi S, Kawai M, Norambuena-Subiabre L, Cascales EK, Rilling JI, Vilugrón J, Cameron H, Vergara K, Morón-López J, Acuña JJ, Gajardo G, Espinoza-González 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. [CrossRef] [PubMed] [Google Scholar]
  • Yoon TH, Kang HE, Kang CK, Lee SH, Ahn DH, Park H, Kim HW. 2016. Development of a cost-effective metabarcoding strategy for analysis of the marine phytoplankton community. PeerJ 4: e2115. [CrossRef] [PubMed] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.