MétaCan
Menu
Back to cohort
Record W4313236350 · doi:10.3201/eid2901.220930

Genomic Confirmation of <i>Borrelia garinii</i>, United States

2023· article· en· W4313236350 on OpenAlexaboutno aff
Maryna Golovchenko, Aleš Horák, Libor Grubhoffer, Emmanuel F. Mongodin, Claire M. Fraser, Weigang Qiu, Benjamin J. Luft, R. Garrett Morgan, Sherwood Casjens, Steven E. Schutzer

Bibliographic record

VenueEmerging infectious diseases · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsnot available
FundersBiologické Centrum, Akademie Věd České RepublikyNational Institutes of HealthNational Institute of Allergy and Infectious DiseasesSteven and Alexandra Cohen FoundationAkademie Věd České RepublikyMinisterstvo Zdravotnictví Ceské RepublikyGlobal Lyme Alliance
KeywordsBorrelia gariniiBorreliaLyme diseaseBorrelia burgdorferiBiologySensuGeneticsVirologyZoology

Abstract

fetched live from OpenAlex

L yme disease is a multisystem disorder caused by infection with bacteria of the Borrelia burgdorferi sensu lato species complex.Three members of this complex, B. burgdorferi sensu stricto, B. garinii, and B. afzelii, are responsible for most cases of Lyme disease worldwide (1,2).B. burgdorferi s.l. is the only one of these 3 species that is found widely in North America, although B. garinii has been identified on islands off the coast of Newfoundland and Labrador, Canada (3-5).We describe the isolation and genome sequencing characterization of a South Carolina B. garinii isolate from a repository of strains from rodent hosts and tick vectors in the southeastern United States that had been identified as B. burgdorferi s.l.A second B. garinii isolate from the same B. burgdorferi s.l.strain repository was identified on the basis of multilocus sequence typing (MLST).Phylogenetic analysis showed that these 2 strains from the southeastern United States were most closely related to a group of B. garinii isolates from Europe but were not derived from strains from Canada, or vice versa (3). Methods Sources, Cultivation, and Analyses of Borrelia spp.The 2 Borrelia isolates described were isolated from ear biopsy specimens from a cotton mouse (Peromyscus gossypinus) (SCCH-7) trapped in Charleston County, South Carolina, in 1995 and from an eastern woodrat (Neotoma floridana) (SCGH-19) trapped in Georgetown County, South Carolina, in 1996 (Appendix, https://wwwnc.cdc.gov/EID/article/29/1/22-0930-App1.pdf)(6).We performed Borrelia culture in Barbour-Stoenner-Kelly H medium, DNA purification, and PCR analyses as described (7).We detected B. burgdorferi s.l. in samples by amplification of the 5S-23S intergenic region (8) (Appendix) by using species-specific PCR and primers designed on the basis of the ospA gene, which confirmed the presence of multiple spirochete species (9).Cultures in which B. garinii was confirmed were plated on solid medium, and clonal single colonies were isolated according to a modified protocol (10) (Appendix). Whole-Genome Sequencing and Genome AssemblyWe performed whole-genome sequencing by using the Pacific Biosciences Sequel II system (https:// www.pacb.com).We performed genome assembly by using the Genome Assembly tool in PacBio SMRTLink version 10.2 and 150 Mb of the HiFi reads >5 kb (Appendix).

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)0.001
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 score0.090
Threshold uncertainty score0.180

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.244
Teacher spread0.235 · 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

Citations10
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueEmerging infectious diseasesSame topicVector-borne infectious diseasesFrench-language works237,207