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Enregistrement W2073773582 · doi:10.1093/biosci/biu025

An Evolutionary Primer on Pregnancy

2014· article· es· W2073773582 sur OpenAlexaff
Bryan D. Neff

Notice bibliographique

RevueBioScience · 2014
Typearticle
Languees
DomaineMedicine
ThématiqueBirth, Development, and Health
Établissements canadiensWestern University
Organismes subventionnairesnon disponible
Mots-clésPrimer (cosmetics)PregnancyEvolutionary biologyBiologyZoologyGeneticsChemistry

Résumé

récupéré en direct d'OpenAlex

Imagine scooping up your newly fertilized eggs with your mouth and swallowing them but only after shutting down your digestive system so that your stomach provides a safe and nurturing environment for the eggs to develop. Eight weeks later, you regurgitate your brood of tiny froglets, which can now simply hop away. Such is the story of reproduction in the Australian gastric-brooding frog Rheobatrachus silus. But is it an example of pregnancy? In the book Evolutionary Perspectives on Pregnancy, author John C. Avise does a wonderful job of examining the diversity of reproductive modes across many taxa, including mammals, fishes, reptiles, amphibians, and even Anthozoa (the corals). However, perhaps ironically, he is not explicit about what is and what is not ­pregnancy. Indeed, among some 400 terms in the glossary, pregnancy is not listed. In fairness, Avise does detail several defining features of true pregnancy in the opening chapter. Regardless of this point, I found the book to be an engaging general-interest treatment of how parents invest in their offspring. This volume is most likely to appeal to students with an interest in biology, teachers, scientists in fields outside of biology, natural historians, and lay persons with a penchant for learning about peculiar forms of life on Earth. The book's treatment of pregnancy (or pregnancy-like modes of reproduction) may be too introductory for scientists in the field to find useful, although as a researcher in the field of evolutionary ecology, I still found the prose engaging, easy to read, and thought provoking. The book is thoroughly illustrated; the animal drawings are credited to Trudy Nicholson. These drawings help make the text flow, and the “factoids” that accompany some of the drawings are fascinating and will enthrall the trivia buff. Avise is a distinguished professor at the University of California, Irvine, and a member of the National Academy of Sciences. He is, without a doubt, one of the most influential authors in the field of evolutionary ecology and is perhaps best known for his pioneering applications of molecular DNA techniques to systematics, phylogeography, and mating systems. Evolutionary Perspectives on Pregnancy is the last of a trilogy written by the author, in which he explores the diversity of reproductive systems in nature. The preceding two volumes were focused on clonal reproduction and hermaphroditism. This final book is divided into two sections—the first is a narrative detailing the diversity of the natural history of pregnancy. Avise's coverage is by no means exhaustive, and the examples perhaps err on the side of the most bizarre mating systems found in nature, but it is engaging and fascinating. The second section is focused on the scientific thinking around the evolution of the diversity within reproductive modes. It covers some of the fundamental developments in the field of evolutionary ecology, including Hamilton's rule and, more broadly, cooperation and kin selection, parent– offspring conflict, sibling conflict, anisogamy and Bateman's principle, and sex-role reversal with an emphasis on the pipefishes (a system that Avise has studied). In this second section, I can appreciate the simplicity and accessibility with which Avise presents what are sometimes complicated concepts. This mastery underlies his immense impact in the formal scientific literature—a literature that, otherwise, far too often seems bent on making ideas and concepts as complicated and as inaccessible as is possible. The book concludes with an appendix that provides a short primer on molecular genetic parentage analysis—a technique seemingly so simple that it is easy to forget how it has revolutionized our understanding of mating systems. A shortcoming of the book is that it provides few details on the many unanswered or controversial concepts and ideas in evolutionary biology. It also lacks a historical perspective on the proverbial battles that were fought over the decades, such as those between the ethologists and behaviorists, which helped define the field. The book does close with the enigma of multiple mating, which is a controversial topic in the scientific literature today. Why, in so many species, do females (or males) mate with more than one partner? The general adaptation hypothesis is that by mating with multiple individuals, females (or males) increase their Darwinian fitness. In contrast, Avise points out that the Poisson (or random) distribution does a pretty good job of explaining the distribution of mate numbers. All other things being equal, Ockham's razor dictates that simpler explanations—those with fewer assumptions—are more likely to be true. Indeed, I have suggested that Avise's impact stems from such simplicity in explanation. Although it is a somewhat unsatisfying conclusion to a researcher such as myself who is working to address this very question, no further explanation beyond chance may be needed to answer the enigma of multiple mating. Overall, I found the scope of the book to be broader than just perspectives on pregnancy and might, instead, have titled it Evolutionary Perspectives on Sexual Reproduction.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,006
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: Théorique ou conceptuel
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,006
Score d'incertitude au seuil0,030

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,006
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0040,018
Communication savante0,0050,006
Science ouverte0,0010,003
Intégrité de la recherche0,0050,011
Charge utile insuffisante (le modèle a refusé de juger)0,0060,001

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.

Tête enseignante Opus0,030
Tête enseignante GPT0,318
Écart entre enseignants0,288 · 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; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeThéorique ou conceptuel
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

Citations0
Publié2014
Routes d'admission1
Résumé présentnon

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