West Palaearctic species of Euura Newman, 1837 (Hymenoptera, Tenthredinidae)
Notice bibliographique
Résumé
Excluding 102 species of the previously revised West Palaearctic species groups of Euura Newman, 1837 (gall-making groups, 84 species; amentorum group, 8 species; bergmanni group, 8 species; and oligospila group, 2 species), we treat here the remaining 164 West Palaearctic species of the genus. 145 new synonymies are proposed (one in Platycampus, one in Nematus, two in Pristiphora, and the rest in Euura: see Table 4 for details). 153 lectotypes are designated (see Table 4). Four nominal species are reinstated (valid name in square brackets): Pteronidea fuscarima Benson, 1933 [E. fuscarima (Benson, 1933) comb. nov.], P. fuscodorsata Lindqvist, 1949 [Euura fuscodorsata (Lindqvist, 1949) comb. nov.], Pachynematus perkioemaekii Lindqvist, 1960 [E. perkioemaekii (Lindqvist, 1960) comb. nov.], and Pontania poppii Konow, 1904 [Euura poppii (Konow, 1904) comb. nov.]. Euura tiliae (Zinovjev, 1998) comb. nov. and E. wuyishanica (Wei, 2003) comb. nov. are transferred from Nematus. Euura memoriakaszabi (Haris, 2002) comb. nov. is transferred from Pristiphora. Five new species are described: Euura halo Prous, Liston & Mutanen sp. nov., E. histriato Prous, Liston & Mutanen sp. nov., E. minivittata Prous & Mutanen sp. nov., E. polepso Prous & Mutanen sp. nov., and E. serela Prous & Mutanen sp. nov. Euura telos Liston & Prous nom. nov. (an East Palaearctic species) is proposed for Amauronematus terminalis Malaise, 1931, a secondary homonym of Pontania terminalis Marlatt, 1896 [Euura terminalis (Marlatt, 1896)]. Three treated putative species based on single males (E. bergmanni and E. clitellata group) and a female (E. bipartita group) remain unidentified pending further research. An identification key is provided to separate the genus Euura from the other similar genera. Host plants are now known for 80% (132) of the treated species (88% for all West Palaearctic Euura). Genetic data (at least mitochondrial COI and nuclear NaK and POL2) are reported for 91% (151) of the treated species. The genetic data were obtained with Sanger and Nanopore sequencing. In numerous cases, identification of one sex of a species remains difficult using morphological characters but is clear when using genetic data. In a few cases, however, identification based on morphology is reliable, while support from available genetic data is weak. Often, large morphological and genetic variability makes species delimitation ambiguous. Within-species genetic diversity, as estimated from diploid females (i.e., within-individual genetic diversity, which is an underestimate of within-species diversity), is large in Euura, on average with 0.3% divergence between the haplotypes (max 1.4%), while between-species divergence for a given species group is often only slightly higher (on average varies between 0.5–2.1%). Strong mito-nuclear discordance is observed within most species groups, but in some cases even between species groups. Over 50% of the species cannot be reliably identified based on mitochondrial COI barcodes. While nuclear DNA is significantly more congruent with morphology, identification of about 15% of the species can be ambiguous due to large genetic variability. Remarkably, two or more apparently functional COI variants are frequently observed within the same individual, with variants diverging by up to 9.6% in Euura lappo (for the 658 bp barcoding region).
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) | 0,000 | 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 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 ».