The invention relates to the technical field of molecular diagnosis technology, in particular to a method for detecting
tigecycline resistance of
klebsiella pneumoniae by
mutation detection and application of the method. The method comprises the following steps: firstly, sampling a sample, adding a
lysis solution containing a
specific lysis enhancer, incubating at 37 DEG C, and then carrying out
gradient centrifugation to take a supernatant; then extracting
nucleic acid by using special
bifunctional magnetic nanoparticles, washing and then eluting; preparing a PCR
reaction system containing primers,
enzyme and the like, and adding a novel auxiliary factor for amplification; then detecting
mutation by using a compound
nucleic acid dye through an HRM (
High Resolution Melting) technology; and finally, comparing melting curves, and combining a
machine learning
algorithm to judge whether the sample is
drug-resistant. The detection method has outstanding advantages; the innovative steps of sample treatment,
nucleic acid extraction and detection improve the detection accuracy and efficiency, and can accurately identify low-level
drug-resistant strains; meanwhile, the cost is greatly reduced, popularization in primary hospitals is facilitated, and great significance on prevention and control of
drug-
resistant bacteria is achieved.