Methodological strategies for transgene copy number quantification in goats (Capra hircus) using real-time PCR.

Taking into account the importance of goats as transgenic models, as well as the rarity of copy number (CN) studies in farm animals, the present work aimed to evaluate methodological strategies for accurate and precise transgene CN quantification in goats using quantitative polymerase chain reaction (qPCR). Mouse and goat lines transgenic for human granulocyte-colony stimulating factor were used. After selecting the best genomic DNA extraction method to be applied in mouse and goat samples, intra-assay variations, accuracy and precision of CN quantifications were assessed. The optimized conditions were submitted to mathematical strategies and used to quantify CN in goat lines. The findings were as follows: validation of qPCR conditions is required, and amplification efficiency is the most important. Absolute and relative quantifications are able to produce similar results. For normalized absolute quantification, the same plasmid fragment used to generate goat lines must be mixed with wild-type goat genomic DNA, allowing the choice of an endogenous reference gene for data normalization. For relative quantifications, a resin-based genomic DNA extraction method is strongly recommended when using mouse tail tips as calibrators to avoid tissue-specific inhibitors. Efficient qPCR amplifications (≥95%) allow reliable CN measurements with SYBR technology. TaqMan must be used with caution in goats if the nucleotide sequence of the endogenous reference gene is not yet well understood. Adhering to these general guidelines can result in more exact CN determination in goats. Even when working under nonoptimal circumstances, if assays are performed that respect the minimum qPCR requirements, good estimations of transgene CN can be achieved.

Real-time PCR to assess the Leishmania load in Lutzomyia longipalpis sand flies: screening of target genes and assessment of quantitative methods.

Visceral Leishmaniasis is an endemic disease in Brazil caused by Leishmania infantum chagasi and its main vector species is the sand fly Lutzomyia longipalpis. Epidemiological studies have used conventional PCR techniques to measure the rate of infection of sand flies collected in the field. However, real-time PCR can detect lower parasite burdens, reducing the number of false negatives and improving the quantification of Leishmania parasites in the sand fly. This study compared genes with various copy numbers to detect and quantify L. infantum chagasi in L. longipalpis specimens by real-time PCR. We mixed pools of 1, 10 and 30 male sand flies with various amounts of L. infantum chagasi, forming groups with 50, 500, 5000 and 50,000 Leishmania parasites. For the amplification of L. infantum chagasi DNA, primers targeting kDNA, polymerase α and the 18S ribosome subunit were employed. Parasites were measured by absolute and relative quantification. PCR detection using the amplification of kDNA exhibited the greatest sensitivity among the genes tested, showing the capacity to detect the DNA equivalent of 0.004 parasites. Additionally, the relative quantification using these primers was more accurate and precise. In general, the number of sand flies used for DNA extraction did not influence Leishmania quantification. However, for low-copy targets, such as the polymerase α gene, lower parasite numbers in the sample produced inaccurate quantifications. Thus, qPCR measurement of L. infantum chagasi in L. longipalpis was improved by targeting high copy-number genes; amplification of high copy-number targets increased the sensitivity, accuracy and precision of DNA-based parasite enumeration.