Evidence map›Paper›PMID 41129563›Full record

ArticlePLoS neglected tropical diseases2025

Genomic characterization of eight novel Bartonella species from bats and ectoparasites reveals phylogenetic diversity and host adaptation.

Wen-Jie Wang, Qiao Gao, Bing-Zhou Guo, Xiao Xiao, Hui-Ju Han

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

5 authors.

Wen-Jie WangSchool of Public Health, Shandong First Medical University, Jinan, Shandong, China.ORCID 0009-0007-9714-2708
Qiao GaoMicrobiological Laboratory, Yantai Center for Disease Control and Prevention, Yantai, Shandong, China.
Bing-Zhou GuoCollege of Medical Information and Artificial Intelligence, Shandong First Medical University, Jinan, Shandong, China.
Xiao XiaoHubei Shizhen Laboratory, Lab Animal Research Center, Hubei University of Chinese Medicine, Wuhan, Hubei, China.
Hui-Ju HanSchool of Public Health, Shandong First Medical University, Jinan, Shandong, China.

Funding

Hubei Provincial Natural Science Foundation Collaborative Fund ProjectShandong Provincial Natural Science Foundation
6 · The paper itself

Abstract

Bats are recognized as hosts of diverse Bartonella species, and Bartonella are known agents of human disease. Here, we reported the isolation of 26 Bartonella strains belonging to eight distinct species from two bat species (Myotis laniger and M. adversus) and their ectoparasites (bat flies and bat mites) collected from Chongming County, Hubei Province, China. We obtained whole genome sequences of the bat-borne Bartonella spp. with second and third generation sequencing. The genome size of the bat-borne Bartonella spp. ranged from 1.39 to 1.98 Mb, with the GC content from 35.30%-38.92%. Phylogenetic analysis revealed that the bat-borne Bartonella spp. were divergent from currently known Bartonella spp., and the Average Nucleotide Identity (ANI) values were all below 95%, indicating that they were all novel species. Comparative genomic analysis underscored distinct characteristics of bat-borne Bartonella spp. in cell motility, replication, recombination, and the biogenesis of the cell wall/membrane/envelope, suggesting that bat-borne Bartonella spp. exhibited unique host adaptability. Notably, the virulence factor genes of two bat-borne Bartonella spp., strains B23 and 39, were highly analogous to those of the currently known Bartonella henselae and Bartonella quintana, indicating that they might be pathogenic to humans and animals. Altogether, our findings significantly broaden the diversity of the Bartonella genus, and provide new insights into the host specificity and evolutionary relationship of bat-borne Bartonella spp..

Indexed as

BartonellaBartonella InfectionsChiropteraDipteraGenome, BacterialHost AdaptationMitesAnimalsChinaGenetic VariationPhylogeny

Identifiers

PMID41129563
PMCPMC12574864

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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.