Real-time polymerase chain reaction for the qualitative and quantitative detection ofMycoplasma gallisepticum

Quantitative Real-time Polymerase Chain Reaction (qRT-PCR). Fatemeh Mehrpooyan*

Polymerase Chain Reaction of Mgc2 and 16S rRNA Genes for Detection of Mycoplasma gallisepticum

Mycoplasmas are very small bacteria lacking cell walls that belong to various genera within the class Mollicutes, and also the smallest organisms that can live independently. They are able to cause serious and chronic disease because of some unique characteristics. Mycoplasma gallisepticum (MG) is an important avian pathogen causing significant economical losses within the poultry industry. The...

Development and Evaluation of Real-Time Reverse Transcription Polymerase Chain Reaction Test for Quantitative and Qualitative Recognition of H5 Subtype of Avian Influenza Viruses

Avian influenza viruses (AIV) affect a wide range of birds and mammals, cause severe economic damage to the poultry industry, and pose a serious threat to humans. Highly pathogenic avian influenza viruses (HPAI) H5N1 were first identified in Southeast Asia in 1996 and spread to four continents over the following years. The viruses have caused high mortality in chickens and various bird species ...

Detection of Nocardia Asteroides Complex in Clinical Isolates by Real-Time Polymerase Chain Reaction

Background and Aims: Nocardia asteroides complex is the most common cause of infectious diseases due to nocardiosis. Interspecies differentiation of Nocardia genera is essential for prognosis and timely proper treatment, as well as for epidemiological studies. Since each genus has its own antibiotic resistance, precise careful diagnosis is of prime importance. As compared to biochemical and phe...

Comprehensive Algorithm for Quantitative Real-Time Polymerase Chain Reaction

Quantitative real-time polymerase chain reactions (qRT-PCR) have become the method of choice for rapid, sensitive, quantitative comparison of RNA transcript abundance. Useful data from this method depend on fitting data to theoretical curves that allow computation of mRNA levels. Calculating accurate mRNA levels requires important parameters such as reaction efficiency and the fractional cycle ...