ArticleParasites & vectors2016
Genomic resources for a unique, low-virulence Babesia taxon from China.
Article in Parasites & vectors, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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Who cites it
15 citing papers in PubMed, 26 citations in OpenAlex.
- Furamidine, a methyltransferase inhibitor, is a potential anti-Babesia spp. chemotherapeutic.Parasitology research · 2025Article
- ves1α genes expression is the major determinant of Babesia bovis-infected erythrocytes cytoadhesion to endothelial cells.PLoS pathogens · 2025Article
- Chromosome-level genome assembly of Babesia caballi reveals diversity of multigene families among Babesia species.BMC genomics · 2023Article
- Small Ruminant Piroplasmosis: High Prevalence ofPathogens (Basel, Switzerland) · 2023Article
- Whole genome sequence and diversity in multigene families ofFrontiers in cellular and infection microbiology · 2023Article
- Comparative single-cell transcriptional atlases of Babesia species reveal conserved and species-specific expression profiles.PLoS biology · 2022Article
- Phylogenetic analyses of the mitochondrial, plastid, and nuclear genes of Babesia sp. Mymensingh and its naming as Babesia naoakii n. sp.Parasites & vectors · 2022Article
- Article
- The Piroplasmida Babesia, Cytauxzoon, and Theileria in farm and companion animals: species compilation, molecular phylogeny, and evolutionary insights.Parasitology research · 2022Review
- Recent Advances in Molecular Genetic Tools forVeterinary sciences · 2021Review
- Stable transfection system for Babesia sp. Xinjiang.Parasites & vectors · 2021Article
- Article
- Systematic Comparison of the Performances ofFrontiers in cellular and infection microbiology · 2021Article
- Novel Babesia bovis exported proteins that modify properties of infected red blood cells.PLoS pathogens · 2020Article
- A Historical Overview of Research onFrontiers in microbiology · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBabesiosis is a socioeconomically important tick-borne disease of animals (including humans) caused by haemoprotozoan parasites. The severity of babesiosis relates to host and parasite factors, particularly virulence/pathogenicity. Although Babesia bovis is a particularly pathogenic species of cattle, there are species of Babesia of ruminants that have limited pathogenicity. For instance, the operational taxonomic unit Babesia sp. Xinjiang (abbreviated here as Bx) of sheep from China is substantially less virulent/pathogenic than B. bovis is in cattle. Although the reason for this distinctiveness is presently unknown, it is possible that Bx has a reduced ability to adhere to cells or evade/suppress immune responses, which might relate to particular proteins, such as the variant erythrocyte surface antigens (VESAs).
resultsWe sequenced and annotated the 8.4 Mb nuclear draft genome of Bx and compared it with those of B. bovis and B. bigemina by synteny analysis; we also investigated the genetic relationship of Bx with selected Babesia species and related apicomplexans for which genomic datasets are available, and explored the VESA complement in Bx.
conclusionsThe availability of the Bx genome now provides unique opportunities to elucidate aspects of the molecular biology, biochemistry and physiology of Bx, and to explore the reason(s) for its limited virulence and/or apparent ability to evade immune attack by the host animal. Moreover, the present genomic resource and an in vitro culture system for Bx raises the prospect of establishing a functional genomic platform to explore essential genes as new intervention targets against babesiosis.
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Registered trials
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.