Report of the ICES/IOC Workshop on New and Classic Techniques for the Determination of Numerical Abundance and Biovolume of HAB-Species - Evaluation of the Cost, Time-Efficiency and Intercalibration Methods (WKNCT)
Notice bibliographique
Résumé
A workshop with the aim to compare classical and molecular biological techniques for quantitative phytoplankton analysis took place at Kristineberg Marine Research Station, Fiskebäckskil, Sweden, 22–26 August 2005. A total of 24 participants (appendix 1) from ten countries participated in the workshop and 15 different techniques were compared. After advice from the Scientific Steering Committee (SSC, see Annex 2) and the ICES/IOC Working Group on Harmful Algal Bloom Dynamics (WGHABD) it was decided to focus on essentially one species, Alexandrium fundyense. This thecate dinoflagellate A. fundyense, strain CA 28, was maintained in unialgal cultures and used during the workshop in four different experiments. Experiment 1 was aimed at determining in which range of cell densities the methods are applicable to. Experiment 2 was designed to test the species specificity of the methods by adding a related species, Alexandrium ostenfeldii, to samples already containing A. fundyense. Experiment 3 tested the ability of the methods to detect the target organism, A. fundyense, which was added to a natural phytoplankton community from the Gullmar Fjord. A range of biomasses of natural phytoplankton was tested. Experiment 4 also tested the methods ability to enumerate A. fundyense in field samples. It was similar to Experiment 1, although, higher concentrations of the target species with background levels of other phytoplankton species were present in the samples distributed. The detailed results from the workshop will be presented elsewhere. In this report only an overview is presented. To summarise, the classical Utermöhl sedimentation chamber technique performed very well with similar results reported by the 2 participants who used different settling volumes to test this method. This method, however, was not as successful when the target organism A. fundyense was present in samples containing the morphologically similar species, A. ostendfeldii. In the experiment where discrimination with similar species was tested it appears that some of the A. ostenfeldii cells may have been misidentified as A. fundyense. The filtering techniques also produced good results but some tended to report lower cell numbers then the Utermöhl method. The filtering and calcofluor staining techniques performed well in the experiment that required the discrimination between A. ostenfeldii and A. fundyense. Sedgewick-Rafter and Palmer-Maloney chambers did not appear to work well when target cell range was between ~ 500–5 000 cells per Litre. These methods improved when cell concentrations increased to ranges between 25 000–100 000 cells per Litre. The Haemocytometer method was unsuccessful at recording the target cell numbers in question when compared to the other methods tested. This method is considered a quick and easy method for culture studies and during bloom situations when cell densities are exceptionally high. The Quantitative PCR method did not perform as well as expected during the workshop. It is thought that a more thorough calibration of this method would have given closer results to those reported by the other methods. The whole cell hybridisation assays with fluorescence microscope detection produced reasonable results, although cell numbers were often underestimated similar to the filtration methods above. These methods all used filtration to concentrate the sample. The whole cell assay with ChemScan detection both over- and underestimated the cell numbers compared to other techniques. The sandwich hybridisation assay with colourimetric detection produced good results although cell numbers were often underestimated. Only a few samples were processed using the hybridisation assay with microarray fluorescent detection and the sandwhich hybridisation assay using electrochemical detection because of technical problems during the workshop. These methods are considered to be still at a development stage. After the workshop preserved samples were transported to Canada for analysis using a type of advanced particle counter called the FlowCam. Although only a subset of samples were analysed the results reported are quite good.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,046 | 0,012 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,003 |
| Bibliométrie | 0,003 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,005 | 0,002 |
| Science ouverte | 0,004 | 0,005 |
| Intégrité de la recherche | 0,006 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,011 | 0,004 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».