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Record W1990977007 · doi:10.2323/jgam.51.395

Study of the heterogeneity of 16S rRNA genes in γ-proteobacteria: Implications for phylogenetic analysis

2005· article· en· W1990977007 on OpenAlexaff
Audrey Olivier, Hoon-Yong Lee, Jean‐Charles Côté

Bibliographic record

VenueThe Journal of General and Applied Microbiology · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Phylogenetic Studies
Canadian institutionsUniversité du Québec à MontréalAgriculture and Agri-Food Canada
Fundersnot available
KeywordsPhylogenetic treeBiology16S ribosomal RNAProteobacteriaGeneGeneticsEvolutionary biologyPhylogeneticsPhylogenetic relationship

Abstract

fetched live from OpenAlex

as "purple bacteria and their relatives," are a major class of bacteria (Gupta, 2000;Holt et al., 1994;Stackebrandt et al., 1988;Zinder, 1998).This group of predominantly Gram-negative bacteria contains more than 200 genera with a great diversity of phenotypic and physiological attributes.Proteobacteria have been classified based on homology of 16S ribosomal RNA or by hybridization of ribosomal RNA or DNA with 16S and 23S ribosomal RNA (Fox et al., 1980;Woese, 1987;Woese et al., 1985).The class has been divided into five major groups, a-, b-, g-, d-and e-.The g-proteobacteria include several families of utmost biological significance, several human, animal and plant pathogens, most notably the Enterobacteriaceae, Legionellaceae, Pasteurellaceae, Pseudomonadaceae, Vibrionaceae, and Xanthomonadaceae.Because of their biological importance, the genomes of more than 33 g-proteobacteria have been fully sequenced and are freely available in GenBank.The 16S ribosomal RNA, the RNA component of the ribosome small subunit, has been established as the macromolecule of choice for single-gene phylogenetic analyses (Lane et al., 1985;Woese, 1987;Woese et al., 1990).The 16S rRNA is an essential component of protein synthesis and is present in all bacteria.Because it is under highly constrained function, its gene is highly conserved throughout bacteria and even very distant bacterial species can be compared.The gene is easy to amplify and sequence using universal primers (Stackebrandt et al., 1991).It is assumed that the homology between 16S rRNA sequences from different bacteria reflects the phylogenetic relationship between these organims.However, the copy number of 16S rRNA genes per bacterial genome ranges between 1 and 15 (Klappenbach et al., 2001).Consequently, one of the premises in 16S rRNA sequenceinferred phylogenies is that a single 16S rRNA allele, any one, is representative of its taxon.It has long been assumed that the 16S rRNA allelic sequences within a bacterial isolate were nearly identical and the homology was governed by concerted evolution (Hillis et al., 1991).In the last few years, however, 16S rRNA sequence heterogeneities have been reported for some bacteria at the intraspecies or intrastrain levels.This is the case for Phormium yellow leaf phytoplasma (Lieft-

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.250
Teacher spread0.237 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations7
Published2005
Admission routes1
Has abstractyes

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