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Record W2106413384 · doi:10.1101/gr.293102

Genomes in Motion

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

Bibliographic record

VenueGenome Research · 2002
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Phylogenetic Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsBiologyGenomeComputational biologyEvolutionary biologyGeneticsGene

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.246
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.074
GPT teacher head0.323
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2002
Admission routes1
Has abstractyes

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