Primer group for detecting mycobacteria based on nucleic acid mass spectrometry technology and application of primer group

Abstract

The invention discloses a primer group for detecting mycobacteria based on a nucleic acid mass spectrometry technology and application of the primer group, and belongs to the technical field of molecular biology. The sequence of the primer group is as shown in SEQ ID NO.1-85. A method for treating a sample by using the primer group comprises the following steps: (1) sample DNA extraction; (2) enrichment amplification; (3) digestion reaction; and (4) extension reaction. A sample can be directly used for nucleic acid mass spectrometry after being treated, and a relatively high coincidence rate can be obtained. The detection range of the primer group covers specific intervals of 26 mycobacteria and a highly conservative detection interval of one mycobacterium, and 26 mycobacteria can be detected at the same time; and in addition, the highly conservative detection interval of the mycobacteria can be used for quality control of positive results, and can also other mycobacteria except the 26 mycobacteria to prompt mycobacteria infection.

Description

technical field [0001] The invention belongs to the technical field of molecular biology, and in particular relates to a primer set for detecting mycobacteria based on nucleic acid mass spectrometry technology and an application thereof. Background technique [0002] Tuberculosis is a chronic respiratory infectious disease that seriously threatens human health. In 2017, WHO reported that in 2016, about 1.7 million people died of tuberculosis worldwide, and 10.4 million new patients were diagnosed. If TB can be diagnosed early and treated effectively, most TB patients can avoid death. Although an estimated 53 million people diagnosed with TB were cured with treatment between 2000 and 2016, this is still far from the number of TB cases detected. [0003] Tuberculosis is a common and deadly infectious disease caused by the mycobacterium Mycobacterium tuberculosis. Tuberculosis usually infects and destroys the lungs and lymphatic system, but other organs such as the brain, ce...

AI Technical Summary

Problems solved by technology

However, the traditional detection methods can no longer accurately and comprehensively judge the patient's disease information.

For example, the sensitivity is poor. For patients with tumors and blood diseases, 50% of blood cultures are negative and invasive candida infection is finally found; positive culture results only reflect the presence of fungi, and cannot distinguish between colonization and infection; the culture cycle is long; some samples are difficult to obtain, etc.

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