Genetic complexity in the marine environment:\nPopulation genomics of saithe (Pollachius virens), Greenland halibut (Reinhardtius hippoglossoides), beaked and golden redfish (Sebastes mentella and S. norvegicus) in the North Atlantic
Notice bibliographique
Résumé
In this work, I investigated genetic complexity in four commercially exploited species from the North Atlantic: saithe (Pollachius virens L.), Greenland halibut (Reinhardtius hippoglossoides), and beaked and golden redfish (Sebastes mentella and S. norvegicus). The results were used 1) to assess the consistency between current management units and units identified by results based on genetic data for each species, and 2) to assess the efficiency of SNP data compared to conventional markers in studying population genomics. Panels of nuclear genomic markers, including single nucleotide polymorphisms (SNPs) and microsatellites, derived from modern genomic approaches, and data on species life history traits, were analyzed to explore genetic complexity within these highly migratory and continuously distributed species.\n\nThe investigation reveals biologically distinct populations within each of these species. Four genetic clusters of saithe and two clusters of Greenland halibut were found in the North Atlantic. For beaked redfish, results using both the genome-wide SNP and microsatellite data supported one group (‘shallow’) throughout the North Atlantic and a second group (‘deep’) in the central North Atlantic and Canadian waters. A localized group (‘slope’) of beaked redfish was identified in Greenland and Icelandic waters. Microsatellite DNA supported three unrecognized cryptic species of golden redfish in Greenland and nearby waters. Genetic isolation in golden and beaked redfish was greater than in saithe and Greenland halibut, which is possibly associated with unique life history features of redfishes. The results indicate a correlation between genetic differentiation and life history differences in the studied species. These findings imply that distinct genetic heterogeneity can exist in different marine species and may be influenced by different biotic and abiotic factors. The results highlight that in most cases the current management units of these species are comprised of multiple biological populations. The new definition of gene pools may serve to define biologically meaningful management units to ensure their sustainable exploitation and preserve evolutionary legacies.\n\nThis study provides the first SNP-based population genomic investigation in saithe, Greenland halibut and beaked redfish. Comparative analyses of SNP and conventional marker systems demonstrate a higher resolution for SNP markers. Results from genome-wide SNP data identified the three genetic groups of beaked redfish from a much smaller sample set, and the estimated genetic differentiation was much greater than that found by other marker. Both in beaked redfish and Greenland halibut a sub-set of outlier SNPs were identified, implying possible signals of selection in these loci or nearby genomic sites. These outliers may provide increased power in population assignment of the species. The present work illustrates outstanding opportunities of SNP marker system for investigating population genomics of non-model organisms.
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 | 0,000 | 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) | 0,000 | 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 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 ».