Rapid screening mutations of first-line-drug-resistant genes in strains by allele-specific real-time quantitative PCR.

Pengpeng Yang, Yuzhu Song, Xueshan Xia, A-Mei Zhang
Author Information
  1. Pengpeng Yang: Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, China.
  2. Yuzhu Song: Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, China.
  3. Xueshan Xia: Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, China.
  4. A-Mei Zhang: Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, China.

Abstract

Tuberculosis (TB) is a worldwide health, economic, and social burden, especially in developing countries. Drug-resistant TB is the most serious type of this burden. Thus, it is necessary to screen drug-resistant mutations by using a simple and rapid detection method. A total of 32 pairs of allele-specific PCR (AS-PCR) primers were designed to screen mutation and/or wild-type alleles of 16 variations in four first-line drug-resistant genes (, , , and ) of TB strains. A pair of primers was designed to amplify 16S rRNA gene and to verify successful amplification. Subsequently, we tested the specificity and sensitivity of these AS-PCR primers. The optimized condition of these AS-PCR primers was first confirmed. All mutations could be screened in general AS-PCR, but only 13 of 16 variations were intuitively investigated by using real-time quantitative PCR (qPCR) and AS-PCR primers. The results of specificity assay suggested that the AS-PCR primers with mutation and/or wildtype alleles could successfully amplify the corresponding allele under optimized PCR conditions. The sensitivity of nine pairs of primers was 500 copy numbers, and the other seven pairs of primers could successfully amplify correct fragments with a template comprising 10 or 10 copy numbers template. An optimized AS-qPCR was established to screen drug-resistant mutations in TB strains with high specificity and sensitivity.

Keywords

References

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Word Cloud

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