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Record W2110553304 · doi:10.1128/aem.01567-07

Fitness Variation of <i>Borrelia burgdorferi</i> Sensu Stricto Strains in Mice

2007· article· en· W2110553304 on OpenAlexaff
Klára Hanincová, Nicholas H. Ogden, Maria A. Diuk‐Wasser, Christopher J. Pappas, Radha Iyer, Durland Fish, Ira Schwartz, Klaus Kurtenbach

Bibliographic record

VenueApplied and Environmental Microbiology · 2007
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsUniversité de MontréalPublic Health Agency of Canada
FundersNational Institutes of HealthWellcome TrustNational Institute of Arthritis and Musculoskeletal and Skin DiseasesU.S. Department of Agriculture
KeywordsBorrelia burgdorferiBiologyTransmission (telecommunications)Sensu strictoLyme diseaseBorreliaMicrobiologyStrain (injury)VirologyVertebrateZoologyGeneticsGeneAnatomyAntibody

Abstract

fetched live from OpenAlex

Lyme borreliosis in North America is caused by the tick-borne spirochete Borrelia burgdorferi, a zoonotic bacterium that is able to persistently infect a wide range of vertebrate species. Given the pronounced strain structure of B. burgdorferi in the northeastern United States, we asked whether the fitness of the different genotypes varies among susceptible vertebrate hosts. The transmission dynamics of two genetically divergent human isolates of B. burgdorferi, BL206 and B348, were analyzed experimentally in white-footed mice and in C3H/HeNCrl mice over a time period of almost 3 months. We found that the initially high transmission efficiency from white-footed mice to ticks declined sharply for isolate B348 but remained considerably high for isolate BL206. In contrast, in C3H/HeNCrl mice, high transmission efficiency persisted for both isolates. Our findings provide proof-of-principle evidence for intrinsic fitness variation of B. burgdorferi strains in vertebrate host species, perhaps indicating the beginnings of adaptive radiation.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.004
GPT teacher head0.186
Teacher spread0.182 · 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 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

Citations99
Published2007
Admission routes1
Has abstractyes

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