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Record W2038746272 · doi:10.1089/vbz.2011.0657

Identification of Bacteria Infecting <i>Ixodes ricinus</i> Ticks by 16S rDNA Amplification and Denaturing Gradient Gel Electrophoresis

2011· article· en· W2038746272 on OpenAlexaff
Ann‐Kristin Tveten, Knut K. Sjåstad

Bibliographic record

VenueVector-Borne and Zoonotic Diseases · 2011
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsTyndale University
Fundersnot available
KeywordsBiologyTemperature gradient gel electrophoresisIxodes ricinusTickIxodidaeMicrobiologyPopulation16S ribosomal RNASpiroplasmaBacteriaIxodesEhrlichiaBartonellaBorreliaRicinusBorrelia burgdorferiVirologyGeneticsBotanyMollicutesMycoplasma

Abstract

fetched live from OpenAlex

Ticks harbor a complex microbial population, which they acquire while feeding on a variety of mammalians and birds. Zoonotic diseases transferred by ticks are an increasing problem and have become a burden to the community. 16S rDNA amplification and denaturing gradient gel electrophoresis (DGGE) enables detection of the broad spectrum of bacteria that settles in the ticks. Profiling the complete microbial population in ticks may provide a better understanding of the ticks' potential to harbor and disperse pathogens. Separation of pathogenic species by DGGE is based on variation in %GC content within the 16S rDNA genetic region. Sequencing of these fragments allows identification of bacterial species. Present study identified some well-known tick-infecting bacteria, such as members of genus Borrelia, Rickettsiales, and Pseudomonas, but also less described tick-infecting bacteria such as Rhodococcus erythropolis, Spiroplasma spp., and an endosymbiont of the microarthropod Folsomia candida. This is the first report of Segniliparus rugosus-infected Ixodes ricinus ticks. Also, it is the first report of several of these pathogens in the Norwegian tick population.

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)0.000
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 score0.621
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.009
GPT teacher head0.209
Teacher spread0.201 · 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

Citations18
Published2011
Admission routes1
Has abstractyes

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