MétaCan
Menu
Back to cohort

Comparative genomics of metabolic pathways in<i>Mycobacterium</i>species: gene duplication, gene decay and lateral gene transfer

2006· review· en· W2048047523 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueFEMS Microbiology Reviews · 2006
Typereview
Languageen
FieldMedicine
TopicMycobacterium research and diagnosis
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of CanadaAgricultural Research Service
KeywordsBiologyHorizontal gene transferMycobacteriumGeneMycobacterium tuberculosisComparative genomicsMycobacterium bovisMycobacterium lepraeMicrobiologyGeneticsVirulenceGenomeGene clusterParatuberculosisGenomicsTuberculosisBacteriaLeprosy

Abstract

fetched live from OpenAlex

The genus Mycobacterium comprises significant pathogenic species that infect both humans and animals. One species within this genus, Mycobacterium tuberculosis, is the primary killer of humans resulting from bacterial infections. Five mycobacterial genomes belonging to four different species (M. tuberculosis, Mycobacterium bovis, Mycobacterium leprae and Mycobacterium avium ssp. paratuberculosis) have been sequenced to date and another 14 mycobacterial genomes are at various stages of completion. A comparative analysis of the gene products of key metabolic pathways revealed that the major differences among these species are in the gene products constituting the cell wall and the gene families encoding the acidic glycine-rich (PE/PPE/PGRS) proteins. Mycobacterium leprae has evolved by retaining a minimal gene set for most of the gene families, whereas M. avium ssp. paratuberculosis has acquired some of the virulence factors by lateral gene transfer.

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.

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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.975
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.088
GPT teacher head0.333
Teacher spread0.245 · 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