IS6501-anchored PCR for the detection and identification of Brucella species and strains

A new strategy was developed to analyse the polymorphism of the genome of Brucella spp. All species of the Brucella genus contain several copies (between 10 and 40) of an insertion sequence, IS6501 (known also as IS711). The position of copies of this insertion sequence appears to differ in each species and this can be used to discriminate between them. A new polymerase chain reaction test, called IS-anchored-PCR (IS-an-PCR) was developed. It was based on a combination of a primer bound on the sequence of IS6501 with a second primer chosen arbitrarily. The patterns obtained reflect the position of the insertion sequence in the genome. This method can be used to identify Brucella and to discriminate between different species, strains within a species and between the vaccine strain B19 and the corresponding 'wild-type' B. abortus A1.     

Assessing population genetic structure and variability with RAPD data: Application to Vaccinium macrocarpon (American Cranberry)

A method for estimating and comparing population genetic variation using random amplified polymorphic DNA (RAPD) profiling is presented. An analysis of molecular variance (AMOVA) is extended to accomodate phenotypic molecular data in diploid populations in Hardy-Weinberg equilibrium or with an assumed degree of selfing. We present a two step strategy: 1) Estimate RAPD site frequencies without preliminary assumptions on the unknown population structure, then perform significance testing for population substructuring. 2) If population structure is evident from the first step, use this data to calculate better estimates for RAPD site frequencies and sub-population variance components. A nonparametric test for the homogeneity of molecular variance (HOMOVA) is also presented. This test was designed to statistically test for differences in intrapopulational molecular variances (heteroscedasticity among populations). These theoretical developments are applied to a RAPD data set in Vaccinium macrocarpon (American cranberry) using small sample sizes, where a gradient of molecular diversity is found between central and marginal populations. The AMOVA and HOMOVA methods provide flexible population analysis tools when using data from RAPD or other DNA methods that provide many polymorphic markers with or without direct allelic data.