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Identification of quantitative trait loci controlling acute virulence in Toxoplasma gondii

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Su, Chunlei, Howe, Daniel K., Dubey, J. P., Ajioka, James W., Sibley, L. David·2002·Proceedings of the National Academy of Sciences

Abstract

Strains of Toxoplasma gondii can be grouped into three predominant clonal lineages with members of the type I group being uniformly lethal in mice. To elucidate the basis of this extreme virulence, a genetic cross was performed between a highly virulent type I strain (GT-1) and a less-virulent type III strain (CTG), and the phenotypes of resulting progeny were analyzed by genetic linkage mapping. Analysis of independent recombinant progeny identified several quantitative trait loci that contributed to acute virulence. A major quantitative trait locus located on chromosome VII accounted for ≈50% of the virulence phenotype, whereas a minor locus on chromosome IV, linked to the ROP1 gene, accounted for ≈10%. These loci are conserved in other type I strains, indicating that acute virulence is controlled by discrete genes common to the type I lineage.

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Metadata

Authors
Su, C., Howe, D. K., Dubey, J. P., Ajioka, J. W., & Sibley, L. D.
Venue
Proceedings of the National Academy of Sciences
Published
2002-07-29
Volume
99
Issue
16
Pages
10753-10758
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1986854221
Cited by
198
References
0
FWCI
8.48
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Identification of quantitative trait loci controlling acute virulence in Toxoplasma gondii. https://app.cochat.ai/papers/10.1073/pnas.172117099
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Su, C., Howe, D. K., Dubey, J. P., Ajioka, J. W., & Sibley, L. D. (2002). Identification of quantitative trait loci controlling acute virulence in Toxoplasma gondii. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.172117099

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.