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Enregistrement W4252662422 · doi:10.1093/auk/123.3.906

Relationships of gulls—A reply to Bourne

2006· article· de· W4252662422 sur OpenAlexaff
Allan J. Baker, Andrew D. Given, James A. Mills

Notice bibliographique

RevueThe Auk · 2006
Typearticle
Languede
DomaineEarth and Planetary Sciences
ThématiqueGeology and Paleoclimatology Research
Établissements canadiensRoyal Ontario MuseumUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésBiologyGeographyZoology

Résumé

récupéré en direct d'OpenAlex

All the authors of Given et al. (2005) were trained first and foremost as field ornithologists, and collectively have logged more than 50 field seasons studying southern masked gulls. We also have encountered or collected all the other species, except Brown-headed Gull (Larus brunnicephalus). Our purpose in bringing molecular data and methods of phylogenetic inference to bear on the relationships and biogeography of these gulls is that most workers, including Bourne, have tried to infer relationships using morphological similarity as the criterion. As we pointed out, and as Bourne (2006) has acknowledged, this can be fraught with problems because of convergent and parallel acquisition of character states, as well as hybridization (Pereira and Baker 2005). Therefore, we used mitochondrial DNA (mtDNA) sequences because they are informative at this phylogenetic depth and because hybrid transfer of an mtDNA genome into another species is easy to spot, as we have demonstrated elsewhere in our studies (Given 2004). Unfortunately, we were not able to acquire DNA from L. brunnicephalus, which Bourne suggests is more closely related to the small southern gulls than to L. maculipennis, which branched basally off the “southern” masked clade in our figure 2 (Given et al. 2005). Using sequences from the control region and part of the cytochrome-b gene, Pons et al. (2005) placed L. brunnicephalus as sister to the Northern Hemisphere L. ridibundus, and this clade was nested as a sister group to the clade (L. cirrocephalus, L. hartlaubii) within the southern masked gull clade. In other words, these first two species evolved after their Southern Hemisphere common ancestor dispersed into the Northern Hemisphere and could have colonized recently into Asia, including the Tibetan plateau. Why Bourne finds this amazing is hard to understand, because these species migrate annually to these regions from more southerly wintering sites. However, we agree with Bourne that the Australasian species may be derived by a sequential colonization of a South American ancestral form through Africa to Australia and New Zealand; but this depends critically on substantiating the tree topology in figure 1 of Pons et al. (2005) with a larger sequence data set and stronger nodal support. Although Bourne believed we had ignored critical forms and, thus, had left them out of our “version of Hamlet,” it seems we were closer to Shakespeare than he could have imagined. Pons et al. (2005) showed convincingly that L. relictus, L. melanocephalus, L. ichthyaetus, and L. saundersi are grouped in a well-differentiated sister clade to the southern masked gulls, thus ruling out Bourne's speculation that they should be included in the play. Furthermore, our studies and those of Pons et al. (2005) reject Bourne's additional speculations about L. brunnicephalus moving back north to give rise to L. ridibundus, L. genei, and L. philadelphia, or that one of these species or their common ancestor gave rise to L. brunnicephalus. We agree that L. genei and L. philadelphia are descendents of a common ancestor, most likely from the Northern Hemisphere, but we do not know how Bourne deduced this from our table 2 (Given et al. 2005), which lists our polymerase chain reaction and sequencing primers. Although it is easy to propose biogeographic scenarios of how supposedly closely related birds evolved on the basis of their appearance, this is no replacement for hypothesis-testing science with phylogenetic analysis of large data sets, inference of ancestral areas and, hence, likely dispersal routes.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,055
Score d'incertitude au seuil0,998

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0030,009

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.

Tête enseignante Opus0,036
Tête enseignante GPT0,253
Écart entre enseignants0,217 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2006
Routes d'admission1
Résumé présentoui

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