Notice bibliographique
Résumé
For most creatures, urea is a nasty toxin best got rid of, but for many elasmobranchs, it keeps them in balance with their salty environment. Yet despite this apparently amicable relationship, high tissue levels of urea still have nasty side effects on proteins. Jason Treberg in William Driedzic's Newfoundland Lab knew from George Somero and Paul Yancey's work that proteins become stable when the ratio of urea to methylamines is 2:1, but there were only a few measurements of this ratio in marine elasmobranchs. Was this ratio wide spread amongst elasmobranchs, and if so, were methylamines alone responsible for balancing their high urea levels? Treberg began measuring tissue levels of methylamines in a range of fish from the marine shark Chiloscyllium punctatum to the freshwater Brazilian stingray to find out whether the ratio held up to closer scrutiny(p. 860).Treberg admits that obtaining samples from a wide range of species was probably the most daunting aspect of this project. James Ballantyne, Ben Speers-Roesch and Alex Ip supplied Treberg with samples from a marine stingray, a shark and two freshwater stingrays (one that retains some urea while the other does not), while Peter Piermarini had access to a euryhaline stingray (able to tolerate marine and freshwater environnments) to add to the marine skate that Treberg could obtain himself.Sure enough, the methylamine levels behaved as Treberg had expected, with the highest detected in the marine species while the freshwater species had virtually none, and the euryhaline species carrying intermediate levels. And when Treberg calculated the ratio of urea to a methylamine trimethylamine N-oxide (TMAO), alone, it was approximately 2:1 in the marine species, while some of freshwater species' had a higher ratio and others lower. Were the freshwater adapted species turning to other osmolytes to stay in equilibrium with their environment?Turning to HPLC methods to discover which osmolytes these species carried,Treberg found that both freshwater species accumulated more β-amino acids than methylamines. When he calculated the urea to total osmolyte ratio and plotted the relationship on a graph, it was close to 2:1. Treberg explains that the urea levels in freshwater adapted species are so low that the ratio in the Brazilian stingray is only very approximate. Also, he suspects that the ratio isn't always driven by the need to counterbalance urea's detrimental effects, but to maintain the fishes' delicate osmotic equilibria with their aquatic environment.Curious to know whether the activities of the enzymes responsible for synthesising TMAO and betaine varied in line with the elasmobranch's methylamine levels, Treberg measured TMAoxidase levels from all seven species'and was surprised that only the shark possessed the enzyme; the rest probably derive TMAO from their diet. However, all of the elasmobranchs were capable of synthesising betaine. Treberg explains one possibility: that the shark is the only fish in this study to have retained TMAoxidase, while the rest may have lost the enzyme, deriving TMAO from their diet and supplementing with betaine when TMAO is scarce. But he adds that it is also possible that several species evolved TMAO synthesis independently, and it's impossible to be sure which is most likely.
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 | 0,000 | 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 | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,002 |
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 ».