Genetic\nCharacterization of Periphyton Communities\nAssociated with Selenium Bioconcentration and Trophic Transfer in\na Simple Food Chain
Notice bibliographique
Résumé
A major source of uncertainty in\npredicting selenium (Se) distribution\nin aquatic food webs lies in the enrichment factor (EF), the ratio\nof Se bioconcentration in primary producers and microorganisms relative\nto the concentration of Se in the surrounding water. It has been well\ndemonstrated that EFs can vary dramatically among individual algal\ntaxa, but data are lacking regarding the influence of periphyton community\ncomposition on EFs for a given geochemical form of Se. Therefore,\nthe goals of this study were first to assess whether different periphyton\ncommunities could be established in aquaria with the same starting\ninoculum using different light and nutrient regimes, and second, to\ndetermine if the periphyton assemblage composition influences the\nuptake of waterborne Se (as selenite) and subsequent Se transfer to\na model macroinvertebrate primary consumer. Periphyton biofilms were\ngrown in aquaria containing filtered pond water (from Saskatoon, SK)\nspiked with approximately 20 μg Se/L (mean measured concentration\n21.0 ± 1.2 μg Se/L), added as selenite. Five different\nlight and nutrient regimes were applied to the aquaria (three replicates\nper treatment) to influence biofilm community development. After 6\nweeks of biofilm maturation, 40 to 80 immature cultured snails (Stagnicola elodes) were added to each aquarium. The\nbacterial and algal members of the periphyton community were characterized\nby targeted metagenomic analyses before and after addition of snails\nto ensure the snails themselves did not significantly alter the biofilm\ncommunity. Samples were collected for Se analysis of water, periphyton,\nand whole-body snail. The nutrient and light treatments resulted in\nsubstantially different compositions of the periphytic biofilms, with\neach being relatively consistent across replicates and throughout\nthe study. Although the aqueous concentration of dissolved Se administered\nto treatments was constant, uptake by the different periphytic biofilms\ndiffered significantly. Both the low-light (61.8 ± 12.1 μg\nSe/g d.w.) and high-light (30.5 ± 4.7 μg Se/g d.w.) biofilms,\nwhich were found to have high proportions of cyanobacteria, contained\nstatistically higher concentrations of Se relative to the other treatments.\nFurthermore, the concentration of Se in bulk periphyton was predictive\nof Se bioaccumulation in grazing snails but as an inverse relationship,\nopposite to expectations. The trophic transfer factor was inversely\ncorrelated with periphyton enrichment factor (<i>r</i> =\n−0.841). A number of different bacterial and algal taxa were\ncorrelated (either positively or negatively) with Se accumulation\nin periphyton biofilm and snails. Recent advancements in genetic methods\nmake it possible to conduct detailed characterization of periphyton\nassemblages and begin to understand the influence that periphyton\ncomposition has on Se biodynamics in aquatic systems.
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».