Challenging the genetically homogeneous individual
Notice bibliographique
Résumé
A growing number of empirical and theoretical studies suggest that naturally occurring intraorganismal genetic heterogeneity (IGH) may be more common than previously believed (for review see Pineda‐Krch & Lehtilä, 2004). That the occurrence of genetically heterogeneous organisms in nature is of deep biological significance was recognized by Williams (1966) in his seminal Adaptation and Natural Selection. Nevertheless, the matter has received little attention in ecological and evolutionary research, and issues such as the frequency, the mechanisms and the potential significance of IGH remain largely unexplored. There seem to be two reasons for this omission and the general lines of argument can be summarized as follows: (i) it is important to maintain genetic homogeneity of an organism in order to avoid intraorganismal conflicts, hence IGH will be rare because there is strong selection against it and (ii) genetically heterogeneous organisms do not qualify as true gene vehicles and do not adhere to the predominantly accepted definition of individuality. Although the potential for IGH is acknowledged its significance is dismissed either because of its assumed rarity or the perceived difficulties in accommodating the idea within contemporary biological concepts. This line of reasoning is at least partially justified. That IGHs will often entail costs at the organism level is probably true, but currently we know little about the true distribution of effect, and as several of the commentaries show there is more to the story than what the statement suggests (Rinkevich, 2004; Santelices, 2004; Strassmann & Queller, 2004). It is also true that it would be difficult to accommodate IGH into the contemporary concept of individuality as, ever since Weismann, individuality has implied genetic homogeneity (Santelices, 1999). While several of the commentaries discuss the need for a revised individuality concept to accommodate situations such as IGH, Hutchings & Booth (2004) also appropriately point out that it is unlikely that any given definition will ever be applicable to all types of organisms. Indeed, the complexity of defining the individuality concept has been addressed on several occasions (Tuomi & Vuorisalo, 1989; Santelices, 1999). Nevertheless, a widely accepted conceptual revision has not yet occurred. Incorporating IGH into a revised concept of individuality will pose interesting challenges to theoretical and empirical research alike.
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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 ».