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Background <p>We aimed to use whole genome sequencing (WGS) to determine species and lineage composition and drug resistance profile in a high tuberculosis (TB)-burden region of China.</p> Methods <p>We conducted WGS to 1791 acid-fast staining positive and culture-positive isolates collected from Kashgar prefecture in 2020. Bioinformatic analysis was applied to confirm species, lineage and drug resistant-related mutations. The drug susceptibility testing was performed on confirmed <i>Mycobacterium tuberculosis</i> complex (MTBC) isolates. We determined the accuracy of WGS prediction by comparing with phenotypes.</p> Results <p>95.03% (1702/1791) were identified MTBC, 3.18% (57/1791) were <i>nontuberculous mycobacteria</i> (NTM), 0.61% (11/1791) were nocardia, 0.89% (16/1791) were gordonia and 0.056% (1/1791) were rhodococcus, the rest 4 isolations were identified as mixed infection. MTBC were composed of lineage 2 (45.83%, 780/1702), lineage 3 (462/1702, 27.14%), lineage 4 (455/1702, 26.73%), lineage 1(1/1702, 0.06%) and <i>M.bovis</i> (La1, 4/1702, 0.24%). Resistance to rifampicin, ethambutol, fluoroquinolones, aminoglycosides and ethionamide were accurately predicted with sensitivity of 96.43%, 83.33%,100%, 100% and 94.74% by WGS, while resistance to isoniazid with the sensitivity of 81.62%.</p> Conclusions <p>WGS can be an important approach in assessing TB control strategy and for determining therapeutic schemes in high TB-burden regions. The drug resistance TB of Kashgar prefecture is at low level and the application of WGS may prevent the increase of resistance rate.</p>

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Whole genome sequencing for tuberculosis disease species identification, lineage determination, and drug resistance detection in Kashgar prefecture, China

  • 期刊论文

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  • 发表日期：

    2025年10月7日

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  • Dongxin Liu,
  • Gulina Badeerhan,
  • Mawlanjan Emam,
  • Mengnan Jiang,
  • Geng Hong,
  • Mengjiao Xie,
  • Yang Liu,
  • Ling Ma,
  • Lin Xu,
  • Xijiang Wang,
  • Qiang Wei

摘要

Background

We aimed to use whole genome sequencing (WGS) to determine species and lineage composition and drug resistance profile in a high tuberculosis (TB)-burden region of China.

Methods

We conducted WGS to 1791 acid-fast staining positive and culture-positive isolates collected from Kashgar prefecture in 2020. Bioinformatic analysis was applied to confirm species, lineage and drug resistant-related mutations. The drug susceptibility testing was performed on confirmed Mycobacterium tuberculosis complex (MTBC) isolates. We determined the accuracy of WGS prediction by comparing with phenotypes.

Results

95.03% (1702/1791) were identified MTBC, 3.18% (57/1791) were nontuberculous mycobacteria (NTM), 0.61% (11/1791) were nocardia, 0.89% (16/1791) were gordonia and 0.056% (1/1791) were rhodococcus, the rest 4 isolations were identified as mixed infection. MTBC were composed of lineage 2 (45.83%, 780/1702), lineage 3 (462/1702, 27.14%), lineage 4 (455/1702, 26.73%), lineage 1(1/1702, 0.06%) and M.bovis (La1, 4/1702, 0.24%). Resistance to rifampicin, ethambutol, fluoroquinolones, aminoglycosides and ethionamide were accurately predicted with sensitivity of 96.43%, 83.33%,100%, 100% and 94.74% by WGS, while resistance to isoniazid with the sensitivity of 81.62%.

Conclusions

WGS can be an important approach in assessing TB control strategy and for determining therapeutic schemes in high TB-burden regions. The drug resistance TB of Kashgar prefecture is at low level and the application of WGS may prevent the increase of resistance rate.