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Enregistrement W2106413384 · doi:10.1101/gr.293102

Genomes in Motion

2002· letter· en· W2106413384 sur OpenAlexaff
David L. Baillie

Notice bibliographique

RevueGenome Research · 2002
Typeletter
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueGenomics and Phylogenetic Studies
Établissements canadiensSimon Fraser University
Organismes subventionnairesnon disponible
Mots-clésBiologyGenomeComputational biologyEvolutionary biologyGeneticsGene

Résumé

récupéré en direct d'OpenAlex

The examination of a sequenced genome produces many fascinating insights into how genes function, as well as tantalizing hints about the importance of gene orders and orientation. Indeed a static view of any single genome leads to a number of hypotheses regarding the history of its organization. Since the genome projects began, it has been clear that many of the questions arising from the examination of any single genome might well be resolved by having other genomes with which to compare. We now have a small collection of fairly complete eukaryotic genome sequences to examine (two distantly related yeasts, a nematode, an insect, and a higher plant). Although other sequences are near completion, they are not yet of sufficiently high quality that they can be confidently used in this type of comparison. Existing genome sequences are evolutionarily widely separated and the organisms are morphologically very different. Thus they are not yet very helpful when one wants to consider the forces and mechanisms that have lead to the present state. Recognition of this by the genome community has resulted in efforts to sequence genomes that will fill in the phylogenetic gaps and that are evolutionarily close to existing sequenced genomes. A prominent example is the mouse genome as a complement to the human genome. Efforts are also underway to produce genome sequences of close relatives of some of the more tractable model organism genomes (worm, fly, and yeast). In the case of the worm Caenorhabditis elegans, a sister species with very similar morphology has been selected, Caenorhabditis briggsae. The sequencing effort thus far has produced ∼15 million bases of genome sequence (∼15%– 18% of the total). This sequence is available at the Genome Sequencing Center, Washington University School of Medicine (http:// genome.wush.edu./gsc/). There is a concerted effort between the Washington University Genome Center and the Sanger Centre to complete the C. briggsae genome. The availability of these two high-quality data sets has proved irresistible to bioinformatics researchers. Kent and Zahler (2000) and Webb et al. (2002) have used this data to show the usefulness of newly developed tools for teasing information out of genomic sequence data from these closely related species. In this issue of Genome Research, data from these two species has again been used in an extensive analysis of genome rearrangement. Rates of rearrangement are calculated and compared to the earlier data from Drosophila species. Coghlan and Wolfe at Trinity College have done an extensive and elegant analysis of the genomes of C. elegans and C. briggsae genomes and made some surprising discoveries and predictions for the overall rate of rearrangement in Caenorhabditis. They point out that this data set is “the largest available for any pair of congenic eukaryotes.” The extent and quality of the sequence data make this analysis possible. By first using BLASTX, Coghlan and Wolfe (2002) were able to predict the locations of 1784 orthologous genes in nearly 13 million megabases of C. briggsae genomic DNA. These were localized to 756 segments that ranged in size from 1 to 19 genes. When rearrangements were considered these segments could be reduced to 252, some containing as many as 109 genes. Using this set of ordered orthologs they analyzed the data to deduce the number of chromosomal rearrangements that would be required to give rise to the observed order. They determined that 517 chromosomal rearrangements would be needed. Transpositions are the most common event, but inversions and translocations each contributed about half as many breaks. This leads to the conclusion that the genomes have had some 4030 rearrangements occur since the separation. This is a remarkable rate of rearrangement, even when considering the 50–120 million years that the investigators estimate for the divergence of the two species. They point out that this is higher than that reported for Drosophila. However, we will have to wait for comparable sequence data to arrive for a Drosophila sister species for this to be confirmed. Indeed they calculate that the breakage rate in C. elegans is 1400–17,000 times higher than has been calculated for mammals; again we must await the comparisons based on similar highquality sequence in pairs of mammals. It is worth noting that the length of the conserved regions is increasing, Kent and Zahler (2000) claimed they averaged 8.1 kb, whereas as this paper claims they are 53 kb. This difference is largely attributed to differences in the analytic method and assumptions made in the two papers. It is clear that much is being learned about how genomes may be compared and how information from this comparison may be used. A whole C. briggsae genome assembly has been completed and is currently being analyzed (R. Waterston and R. Durbin, pers. comm.), this will allow the predictions made in the Coghlan and Wolfe paper (2002) to be confirmed.

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)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,246
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
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 ouverte0,0010,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,074
Tête enseignante GPT0,323
Écart entre enseignants0,249 · 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 tête enseignante, pas un consensus.

Devis d'étudeSans objet
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

Citations4
Publié2002
Routes d'admission1
Résumé présentoui

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