Notice bibliographique
Résumé
Human activities that burn fuel for energy are driving more carbon dioxide (CO2) into the atmosphere than the earth can handle. Consequently, the CO2 is being absorbed by the ocean's waters, making them more acidic and interfering with the behaviour and senses of many marine animals. Crabs have poor eyesight and rely primarily on their sense of smell to find food and avoid predators, and unfortunately acidic waters are wreaking havoc with this. Scientists are unsure exactly how higher acid levels in the ocean are changing crabs’ smelling skills, so Andrea Durant, Elissa Khodikian and Cosima Porteus of the University of Toronto Scarborough, Canada, set off to investigate the mechanics of a bad sniffer.Crabs sniff by flicking their antennae and flicking them faster when there's a good (or bad) smell around. To test how this sniffing behaviour changes, the scientists first put Dungeness crabs (Metacarcinus magister) into slightly acidic seawater for 10 days and then measured their response to either a ‘good’ or ‘bad’ smell at different strengths. Because some aquatic animals release ammonia-laden urine when they're startled, ammonia was chosen as the bad smell. But this ‘alarm cue’ didn't bother the crabs at all, whether they were in normal seawater or acidic seawater. Instead, they ‘sniffed’ the bad smell just as they would any other scent. For the good smell, the scientists used a scent called cadaverine, which is released when animals are decomposing and apparently smells delicious to hungry crabs. Normally, crabs would flick their antennae enthusiastically when they sniff this alluring aroma. Unfortunately, the crabs from acidic seawater had a hard time detecting this enticing smell. In fact, they needed a cue that was 10 times stronger than normal to set their antennae flicking, suggesting it was harder for the crabs to ‘sniff out’ their food.To understand why crabs in acidic waters have a poorer sense of smell, the scientists turned to the olfactory (smell-sensing) nerves. The team tested how sensitive these smell-sensing nerves of the crabs’ antennae were to cadaverine. As expected, the nerves of the crabs in acidic seawater reacted poorly to the feeding cue, barely responding to the delicious scent no matter how strong the dose of cadaverine was. The scientists then examined the structure of the nerves and assessed which proteins were present because the smell-sensing nerves in crabs rely on particular proteins to sense and process smells. Interestingly, the crabs in acidic seawater had smaller nerve cells and fewer receptors for scents. Unexpectedly, they also had more ammonia-transporting proteins, even though ammonia didn't affect their sniffing abilities or nerve function. What these ammonia transporters are doing in these nerves remains a mystery.This work by Durant and colleagues adds to the growing body of evidence that crabs are incredibly vulnerable to the increased acidity of the ocean resulting from climate change. Dungeness crabs in particular are one of the most economically important species in Northwest America and Canada and already experience periods of more acidic seawater, which will only intensify in the future. If only 10 days in acidic seawater makes it harder for crabs to smell food, well, that stinks.
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 | 0,001 |
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 ».