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One-step melting curve analysis-based McSpoligotyping reveals genotypes of Mycobacterium tuberculosis in a coastal city, China

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A Correction to this article was published on 13 July 2021

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Abstract

A one-step 3 h melting curve analysis-based technology for spacer oligonucleotide typing (McSpoligotyping) analyzed with the SITVIT2 database was applied to detect epidemiological events of Mycobacterium tuberculosis (MTB) in a coastal city of China from 2016 to 2018. 306 MTB isolates were identified by Fuzhou tuberculosis designated hospitals between 2016 and 2018. The results showed that the MTB isolates were divided into Beijing family and non-Beijing families, accounting for 45.42% (139/306) and 54.58% (167/306), respectively. H and T families were the prevalent genotypes in non-Beijing families. Herein, the spoligotyping technology has practical application for the classification and tracing of tuberculosis in the public.

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Data availability

Original data are available upon request. Due to the potential infection of the MTB isolates to the human, it can only be shared under restricted conditions.

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Funding

This work was supported by the Fuzhou Science and Technology Plan Project (No. 2012-S-161).

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Contributions

JP designed the experiments. JX and JP performed the experiments. JP, HY, ZW, JX and JL analyzed the data. JP and JX wrote the manuscript.

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Correspondence to Jieru Pan.

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The authors declare that they no conflicts of interest.

Ethical approval

This study was approved by the Ethics Committee of the Fuzhou Center for Disease Control and Prevention, China.

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Each enrolled patient provided signed informed consent forms prior to study enrolment.

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All authors agree to publish the paper in this journal.

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Communicated by Erko Stackebrandt.

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The original online version of this article was revised due to update in Third author name.

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Pan, J., Ye, H., Wu, Z. et al. One-step melting curve analysis-based McSpoligotyping reveals genotypes of Mycobacterium tuberculosis in a coastal city, China. Arch Microbiol 203, 4579–4585 (2021). https://doi.org/10.1007/s00203-021-02441-0

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  • DOI: https://doi.org/10.1007/s00203-021-02441-0

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