Toxoplasma gondii virulence prediction using hierarchical cluster analysis based on coding sequences (CDS) of sag1 , gra7 and rop18 .

Autor: Subekti DT; Indonesia Research Center for Veterinary Science, Bogor, West Java 16124, Indonesia. subektididik96@yahoo.com., Ekawasti F; Indonesia Research Center for Veterinary Science, Bogor, West Java 16124, Indonesia., Desem MI; Indonesia Research Center for Veterinary Science, Bogor, West Java 16124, Indonesia., Azmi Z; Goats Research Station, Sei Putih, North Sumatra 20585, Indonesia.
Jazyk: angličtina
Zdroj: Journal of veterinary science [J Vet Sci] 2021 Nov; Vol. 22 (6), pp. e88.
DOI: 10.4142/jvs.2021.22.e88
Abstrakt: Toxoplasma gondii consists of three genotypes, namely genotype I, II and III. Based on its virulence, T. gondii can be divided into virulent and avirulent strains. This study intends to evaluate an alternative method for predicting T. gondii virulence using hierarchical cluster analysis based on complete coding sequences (CDS) of sag1 , gra7 and rop18 genes. Dendrogram was constructed using UPGMA with a Kimura 80 nucleotide distance measurement. The results showed that the prediction errors of T. gondii virulence using sag1 , gra7 and rop18 were 7.41%, 6.89% and 9.1%, respectively. Analysis based on CDS of gra7 and rop18 was able to differentiate avirulent strains into genotypes II and III, whereas sag1 failed to differentiate.
Competing Interests: The authors declare no conflicts of interest.
(© 2021 The Korean Society of Veterinary Science.)
Databáze: MEDLINE