Data generated from screening for T. parva DNA using p104 nPCR and genotyping using satellite markers (SSR) were entered and cleaned using Microsoft Excel. Descriptive statistics were computed at 95% confidence interval. Data from screening were analysed using Chi-square test to determine the association between outcome variable (T. parva positivity) and categorical variable (vaccination status) at statistical significance p < 0.05.
Data from genotyping were analysed using GenALEX software version 5 [24 (link)], which was used to calculate genetic diversity parameters. This included determining the mean number of alleles (Na), number of effective alleles (Ne) and expected heterozygosity (He). These parameters were used to determine parasite diversity (overall and within the parasite populations from vaccinated and non-vaccinated cattle). Principal Component Analysis (PCA) was used to determine the genetic relationships among T. parva isolates from Muguga cocktail vaccine, vaccinated and non-vaccinated cattle. Analysis of molecular variance (AMOVA) was also used to determine T. parva diversity by estimating the percentage variation within the individual population and between the two populations (vaccinated and non-vaccinated).
The detection of T. parva DNA in the vaccinated or non-vaccinated cattle blood was referred to as ‘carrier’ status since clinical ECF was not observed in the study animals. The appearance of parasite strain/genotype in the vaccinated cattle that was not similar to vaccine strains was considered as ‘breakthrough’.
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