Introduction to the themed section “Mixotrophs and mixoplankton: conceptual integration into aquatic research”
Notice bibliographique
Résumé
Early observers of ocean plankton had difficulty assigning trophic roles to the myriad forms they encountered. C.G. Ehrenberg, for example, was convinced that diatoms belonged in the animal kingdom, and the motility and lack of grass-green plastids made many assume that most flagellates were also “animalcules” (Karlusich et al., 2020). However, Victor Hensen’s coining of the term “plankton” in 1887 was quickly followed by the use of Phyto- and Zooplankton to delineate the organisms at the base of the ocean’s food web (Dolan, 2021). Although it was recognized by mid-19th century that large oceanic protists (e.g. Radiolaria) contained photosynthetic symbionts and early in the 20th century that some photosynthetic protists are capable of ingesting microbial prey (Biecheler, 1936), the phytoplankton/zooplankton dichotomy remained the dominant paradigm until late in the 20th century. In the 1980s, several groups more or less simultaneously discovered that certain ciliate microzooplankters could retain functional chloroplasts from ingested food (Laval-Peuto and Febvre, 1986; McManus and Fuhrman, 1986; Stoecker et al., 1987). At around the same time, other groups were documenting bacterivory in plastidic nanoflagellates in lakes (Bird and Kalff, 1987), a phenomenon that is also important in the ocean (Zubkov and Tarran, 2008; Hartmann et al., 2012). Thus the prevalence of dual metabolic modes (phago-and phototrophy) in the same organism became well established. Flynn et al. (2019) coined the term “mixoplankton” for these forms. It is interesting to note that although earlier microscopists had observed phagotrophy in “phytoplankton”, especially dinoflagellates, it was not until the latter part of the 20th century, at a time when the trophic importance of nano- and microzooplankton was becoming better appreciated, that plankton ecologists were prepared to accept that many of their subjects were neither phyto- nor zooplankton, but rather a combination of the two. This special section of the Journal of Plankton Research arose from two special sessions on mixoplankton hosted at a meeting of the Association for the Sciences of Limnology and Oceanography in Mallorca, Spain, in 2023. The broad range of topics covered there, from experimental approaches to modeling and monitoring, indicates that mixoplankton research has entered a mature phase in which the implications of this dual trophic mode can be explored at all scales, from test tube to global oceans. This range of exploration is covered in the five contributions to the special section. Grzywacz et al. used fluorescence induction and relaxation kinetics to quantify the photosynthetic performance of retained chloroplasts within a ciliate that had obtained them from two different foods, and documented the effects of the photosystem II inhibitor DCMU on ciliate growth (Grzywacz et al., 2024). Honig et al. studied predator/prey dynamics in a model system under thermal adaptation with a flagellate mixoplankter and phagotrophic grazer (Honig et al., 2024). Their results have implications for trophic interactions in a future, warmer ocean. Princiotta et al. explore the ability of a mixotrophic nanoflagellate (Ochromonas) to affect toxic Microcystis biomass and toxicity under experimentally manipulated nutrient limitation conditions (Princiotta et al., 2024). Le Noac’h and Beisner leverage results of extensive surveys to document the prevalence of mixoplankton in North American lakes (Le Noac'h and Beisner, 2024). Mena et al. report on the impact of resource limitation on mixotrophy and the advantage conferred by phagotrophic capability during short periods of light or nutrient limitation in harmful bloom-forming dinoflagellates (Mena et al., 2024). Cagle and Diehl used a process driven plankton model to examine interactions between mixoplankton and other components of the plankton along resource gradients (Cagle and Diehl, 2024). With the mixoplankton paradigm now firmly established many questions remain about implications for ecosystem processes (Millette et al., 2023). We look forward to more significant contributions to our understanding of the role of mixotrophy in aquatic food webs in coming years. We thank John Wehr and John Dolan for helpful discussions and our co-chairs Aditee Mitra, Sarah Princiotta, Suzana Leles, and Sebastiaan Koppelle for their contribution to organizing the sessions at the ASLO-meeting in Palma de Mallorca, Spain, in 2023. US National Science Foundation; the Scientific Committee on Oceanic Research; and the Dutch Research Council.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,009 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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 tête enseignante, 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 ».