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Record W2067890532 · doi:10.1139/w07-087

<i>Yersinia</i> genome diversity disclosed by <i>Yersinia pestis</i> genome-wide DNA microarray

2007· article· en· W2067890532 on OpenAlexvenueno aff
Xiaoyi Wang, Yanping Han, Yanjun Li, Zhaobiao Guo, Yajun Song, Yafang Tan, Zongmin Du, Alexander Rakin, Dongsheng Zhou, Ruifu Yang

Bibliographic record

VenueCanadian Journal of Microbiology · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicYersinia bacterium, plague, ectoparasites research
Canadian institutionsnot available
FundersNational Natural Science Foundation of ChinaNational Science Foundation
KeywordsBiologyYersinia pseudotuberculosisYersinia pestisGeneticsGenomeYersiniaYersinia ruckeriGeneYersinia enterocoliticagenomic DNAGenomic islandVirulenceBacteria

Abstract

fetched live from OpenAlex

The genus Yersinia includes 11 species, 3 of which (Y. pestis, Y. pseudotuberculosis, and Y. enterocolitica) are pathogenic for humans. The remaining 8 species (Y. frederiksenii, Y. intermedia, Y. kristensenii, Y. bercovieri, Y. mollaretii, Y. rohdei, Y. ruckeri, and Y. aldovae) are merely opportunistic pathogens found mostly in the environment. In this work, the genomic differences among Yersinia were determined using a Y. pestis-specific DNA microarray. The results revealed 292 chromosomal genes that were shared by all Yersinia species tested, constituting the conserved gene pool of the genus Yersinia. Hierarchical clustering analysis of the microarray data revealed the genetic relationships among all 11 species in this genus. The microarray analysis in conjunction with PCR screening greatly reduced the number of chromosomal genes (32) specific for Y. pestis to 16 genes and uncovered a high level of genomic plasticity within Y. pseudotuberculosis, indicating that its different serotypes have undergone an extensively parallel loss or acquisition of genetic content, which is likely to be important for its adaptation to changes in environmental niches.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.614
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 studies0.0000.001
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 head0.007
GPT teacher head0.215
Teacher spread0.208 · 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 designBench or experimental
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

Citations9
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of MicrobiologySame topicYersinia bacterium, plague, ectoparasites researchFrench-language works237,207