Evidence map›Paper›PMID 32606328›Full record

ArticleScientific reports2020

A novel Borrelia species, intermediate between Lyme disease and relapsing fever groups, in neotropical passerine-associated ticks.

Florian Binetruy, Stéphane Garnier, Nathalie Boulanger, Émilie Talagrand-Reboul, Etienne Loire, Bruno Faivre, Valérie Noël, Marie Buysse, Olivier Duron

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
5.4field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 47 citations in OpenAlex.

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  14. Veterinary sciences · 2023
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  18. Molecular evidence ofFrontiers in veterinary science · 2023
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  19. Article
  20. IsTropical medicine and infectious disease · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Florian BinetruyMIVEGEC (Maladies Infectieuses et Vecteurs: Ecologie, Génétique, Evolution et Contrôle), Centre National de la Recherche Scientifique (CNRS) - Institut pour la Recherche et le Développement (IRD) - Université de Montpellier (UM), Montpellier, France.
Stéphane GarnierUMR 6282 Biogéosciences, CNRS - Université Bourgogne Franche-Comté, Dijon, France.
Nathalie BoulangerEA7290, Virulence bactérienne précoce, groupe Borréliose de Lyme, Facultés de Médecine et de Pharmacie, Fédération de Médecine Translationnelle de Strasbourg, Université de Strasbourg, Strasbourg, France.
Émilie Talagrand-ReboulEA7290, Virulence bactérienne précoce, groupe Borréliose de Lyme, Facultés de Médecine et de Pharmacie, Fédération de Médecine Translationnelle de Strasbourg, Université de Strasbourg, Strasbourg, France.
Etienne LoireUnité ASTRE, Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), Institut National de la Recherche Agronomique (INRA), UM, Montferriez-sur-Lez, France.
Bruno FaivreUMR 6282 Biogéosciences, CNRS - Université Bourgogne Franche-Comté, Dijon, France.
Valérie NoëlMIVEGEC (Maladies Infectieuses et Vecteurs: Ecologie, Génétique, Evolution et Contrôle), Centre National de la Recherche Scientifique (CNRS) - Institut pour la Recherche et le Développement (IRD) - Université de Montpellier (UM), Montpellier, France.
Marie BuysseMIVEGEC (Maladies Infectieuses et Vecteurs: Ecologie, Génétique, Evolution et Contrôle), Centre National de la Recherche Scientifique (CNRS) - Institut pour la Recherche et le Développement (IRD) - Université de Montpellier (UM), Montpellier, France.
Olivier DuronMIVEGEC (Maladies Infectieuses et Vecteurs: Ecologie, Génétique, Evolution et Contrôle), Centre National de la Recherche Scientifique (CNRS) - Institut pour la Recherche et le Développement (IRD) - Université de Montpellier (UM), Montpellier, France. olivier.duron@ird.fr.
Centre National de la Recherche Scientifique · FRLaboratoire National de Référence · MACentre de Coopération Internationale en Recherche Agronomique pour le Développement · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lyme disease (LD) and relapsing fevers (RF) are vector-borne diseases caused by bacteria of the Borrelia genus. Here, we report on the widespread infection by a non-described Borrelia species in passerine-associated ticks in tropical rainforests of French Guiana, South America. This novel Borrelia species is common in two tick species, Amblyomma longirostre and A. geayi, which feed on a broad variety of neotropical mammal and bird species, including migratory species moving to North America. The novel Borrelia species is divergent from the LD and RF species, and is more closely related to the reptile- and echidna-associated Borrelia group that was recently described. Genome sequencing showed that this novel Borrelia sp. has a relatively small genome consisting of a 0.9-Mb-large chromosome and an additional 0.3 Mb dispersed on plasmids. It harbors an RF-like genomic organization but with a unique mixture of LD- and RF-specific genes, including genes used by RF Borrelia for the multiphasic antigen-switching system and a number of immune-reactive protein genes used for the diagnosis of LD. Overall, our data indicate that this novel Borrelia is an intermediate taxon between the LD and RF species that may impact a large host spectrum, including American mammals. The designation "Candidatus Borrelia mahuryensis" is proposed for this species.

Indexed as

Genome, BacterialAnimalsBorreliaDNA, BacterialLyme DiseaseRelapsing FeverRNA, Ribosomal, 16STicksWhole Genome SequencingDNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID32606328
PMCPMC7327063
OpenAlexW3038998461

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.