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Enregistrement W2143090251 · doi:10.1086/bblv214n3p203

<i>Biological Bulletin</i> Virtual Symposium: Genomics of Large Marine Metazoans

2008· editorial· en· W2143090251 sur OpenAlexaffabout
R. Andrew Cameron, Jonathan P. Rast

Notice bibliographique

RevueBiological Bulletin · 2008
Typeeditorial
Langueen
DomaineEnvironmental Science
ThématiqueEnvironmental DNA in Biodiversity Studies
Établissements canadiensUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésBiologyGenomicsTree of life (biology)Library scienceEvolutionary biologyDiversity (politics)Phylogenetic treeData scienceEnvironmental ethicsGenomeGeneticsAnthropologySociologyComputer scienceGene

Résumé

récupéré en direct d'OpenAlex

Previous articleNext article FreeGenomics of Large Marine MetazoansBiological Bulletin Virtual Symposium: Genomics of Large Marine MetazoansR. Andrew Cameron and Jonathan P. RastR. Andrew Cameron1. Beckman Institute, California Institute of Technology, 1200 E. California Blvd., Pasadena, California 91125 Search for more articles by this author and Jonathan P. Rast2. Department of Medical Biophysics, University of Toronto, 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada Search for more articles by this author Received 8 April 2008; accepted 14 April 2008.PDFPDF PLUSFull Text Add to favoritesDownload CitationTrack CitationsPermissionsReprints Share onFacebookTwitterLinked InRedditEmailQR Code SectionsMoreThe phrase “genomics of large marine metazoans” is an ungainly mouthful. So are the animals themselves, in most cases. The species addressed in this virtual symposium circumscribe a great catalog of morphological, ecological, and phylogenetic diversity that has fascinated marine scientists for many years. Genome sequences and expressed sequence tag projects provide a means to understand this diversity from a different and in some ways more comprehensive viewpoint. Collectively the animals that are the subject of these papers differ significantly from the standard genetic models that dominate our current understanding of the breadth of animal molecular biology. These differences are reflected in their life history and larger genomes (though by no means unusually large). Their longer life spans may correlate with their often greater genetic complexity. Finally, the marine environment compasses extreme ranges of physical conditions, and understanding the unique genetic features of extremophiles will be helped tremendously by genomic approaches (see Nyholm et al., this issue).In the end, all of the adaptations that make each marine animal unique can be traced in some manner or other to variations in its genomes. For the developmental biologist, changes in developmental programs are the mechanism by which morphology becomes altered. The gene regulatory networks that compose these programs are hard-wired in the genome (see papers by Magie and Martindale; Materna and Cameron; Sauka-Spengler and Bronner-Fraser; Fahey et al.; this issue). For the physiologist and other scientists interested in the relationship of the organism with its surroundings, the questions may be refocused on genetic programs that regulate the flow of information from the environment through molecular sensors and to biochemical responses (see Reitzel et al., this issue). Much of biology can be viewed as a question of how function is encoded in biological programs and how the programs are maintained in the genome sequence. While this is anything but a trivial problem, genome sequences have the immediate advantage of putting very different animals on relatively equal footing for comparative analysis.It is certainly true that many of the secrets of an animal remain undecipherable even with a genome sequence in hand, but the often heard lament that genome sequences per se are merely a steppingstone could not be further from the truth. Especially as the knowledge-base of protein structure and function expands, genome sequence data can almost immediately be transformed into often unexpected knowledge about virtually every aspect of the organism. Put another way: all genomics is functional genomics.The obvious values of genome sequences fall into a few categories: ) The genome provides a complete gene catalog for an organism. From such a catalog emerge differences in gene number or diversity of gene families that can directly inform the biological mechanisms that operate in that organism (see Freeman et al., this issue). Indeed the sensitivity allowed by sequence information is far beyond that which can be achieved by standard molecular approaches and is critical to studying quickly evolving genetic systems such as immunity (see Rast and Messier-Solek, this issue). For many classes of genes, a comprehensive parts list immediately emerges, and the nature of this list may set boundaries on the biology of the organisms.) Genome sequences also provide a solid framework on which to base exploration of complex genetic phenomena. This will be especially critical to understanding subjects like immunity and sensory systems in which genes are often divergent, polymorphic, and expanded as multigene families. Subtle anomalies in the processing of these genes might go unnoticed in the absence of a genomic reference. And thus undiscovered immune diversification mechanisms or other noncanonical molecular mechanisms may be overlooked.) Whole-genome sequences lend huge amounts of data to the study of phylogeny. Although more data per se may not solve some of the more pressing systematic problems, genome sequences increase the chances of identifying useful discrete characters that are less susceptible to homoplasy.) Genomes have revolutionized our view of the relationship between phylogenetic position and genetic complexity—especially notable in the genome of the sea anemone Nematostella, but also emerging in lophotrochozoan genomes. Many genes that were thought to be restricted to vertebrates or deuterostomes were likely present early in eumetazoan phylogeny.A welcome revolution in speed and cost of nucleic acid sequencing technology has begun in the last few years. News stories of $1000 human genome sequences abound. While this dazzling goal is still some distance in the future, sequencing projects that were very recently possible only in large government-run facilities will soon be routine at the core facility level and eventually even within the individual laboratory. Of course, this momentum stems from human biomedical goals. Nevertheless, the cost of entire bilaterian genome sequences will move into the realm of individual research grant budgets, and a new genome sequence will be seen as experimental data. The most important outcome of this futurism is the contribution, mentioned above, that genomes make to providing a scientific understanding how an animal works.It is particularly appropriate that this virtual symposium and its introduction of blatant propaganda in support of genome sequencing be published in The Biological Bulletin, for the home institution of the journal, the Marine Biological Laboratory, has been one of the places where mechanistic biology of marine animals first flourished and where it continues today.Literature CitedFahey, B., C. Larroux, B. Woodcroft, and B. M. Degnan. 2008. Does the high gene density in the sponge NK homeobox gene cluster reflect limited regulatory capacity? Biol. Bull. 214: 205–217.First citation in articleLinkGoogle ScholarFreeman, R. M., Jr., M. Wu, M-M. Cordonnier-Pratt, L. H. Pratt, C. E. Gruber, M. Smith, E. S. Lander, N. Stange-Thomann, C. J. Lowe, J. Gerhart, and M. Kirschner. 2008. cDNA sequences for transcription factors and signaling proteins of the hemichordate Saccoglossus kowalevskii: efficacy of the expressed sequence tag (EST) approach for evolutionary and developmental studies of a new organism. Biol. Bull. 214: 284–302.First citation in articleLinkGoogle ScholarMagie, C. R., and M. Q. Martindale. 2008. Cell-cell adhesion in the Cnidaria: insights into the evolution of tissue morphogenesis. Biol. Bull. 214: 218–232.First citation in articleLinkGoogle ScholarMaterna, S. C., and R. A. Cameron. 2008. The sea urchin genome as a window on function. Biol. Bull. 214: 266–273.First citation in articleLinkGoogle ScholarNyholm, S. V., J. Robidart, and P. R. Girguis. 2008. Coupling metabolite flux to transcriptomics: insights into the molecular mechanisms underlying primary productivity by the hydrothermal vent tubeworm Ridgeia piscesae. Biol. Bull. 214: 255–265.First citation in articleLinkGoogle ScholarRast, J. P., and C. Messier-Solek. 2008. Marine invertebrate genome sequences and our evolving understanding of animal immunity. Biol. Bull. 214: 274–283.First citation in articleLinkGoogle ScholarReitzel, A. M., J. C. Sullivan, N. Traylor-Knowles, and J. R. Finnerty. 2008. Genomic survey of candidate stress-response genes in the estuarine anemone Nematostella vectensis. Biol. Bull. 214: 233–254.First citation in articleLinkGoogle ScholarSauka-Spengler, T., and M. Bronner-Fraser. 2008. Insights from a sea lamprey into the evolution of neural crest gene regulatory network. Biol. Bull. 214: 303–314.First citation in articleLinkGoogle Scholar Previous articleNext article DetailsFiguresReferencesCited by The Biological Bulletin Volume 214, Number 3June 2008 Published in association with the Marine Biological Laboratory Article DOIhttps://doi.org/10.1086/BBLv214n3p203 Views: 225Total views on this site PDF download Crossref reports no articles citing this article.

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)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche, Charge 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: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,225
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,002
Communication savante0,0000,000
Science ouverte0,0020,006
Intégrité de la recherche0,0020,001
Charge utile insuffisante (le modèle a refusé de juger)0,0280,011

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 Opus0,013
Tête enseignante GPT0,205
Écart entre enseignants0,192 · 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'étudeSans objet
Domainenon disponible
GenreÉditorial

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
Publié2008
Routes d'admission2
Résumé présentoui

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