ArticleBMC infectious diseases2020
The geno-spatio analysis of Mycobacterium tuberculosis complex in hot and cold spots of Guangxi, China.
Article in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 14 citations in OpenAlex.
- Integrating genomic and spatial analyses to describe tuberculosis transmission: a scoping review.The Lancet. Microbe · 2025Article
- High incidence of TB at a psychiatric hospital.IJTLD open · 2025Article
- Clinical and Mycobacterium tuberculosis strain characteristics of tuberculosis patients with diabetes mellitus in Changping District, Beijing, China.BMC infectious diseases · 2025Article
- Spatio-temporal pattern and associate factors study on intestinal infectious diseases based on panel model in Zhejiang Province.BMC public health · 2024Article
- Parallel signatures of Mycobacterium tuberculosis and human Y-chromosome phylogeography support the Two Layer model of East Asian population history.Communications biology · 2023Article
- Whole Genomic Analysis Revealed High Genetic Diversity and Drug-Resistant Characteristics ofInfection and drug resistance · 2023Article
- Genomic characteristics ofFrontiers in microbiology · 2023Article
- How to establishing an indicators framework for evaluating the performances in primary TB control institutions under the new TB control model? Based on a Delphi study conducted in Guangxi, China.BMC public health · 2022Article
- Whole Genome Sequencing LinksFrontiers in veterinary science · 2021Article
- Spatial analysis of COVID-19 spread in Iran: Insights into geographical and structural transmission determinants at a province level.PLoS neglected tropical diseases · 2020Article
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Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundAt present, there are few studies on polymorphism of Mycobacterium tuberculosis (Mtb) gene and how it affects the TB epidemic. This study aimed to document the differences of polymorphisms between tuberculosis hot and cold spot areas of Guangxi Zhuang Autonomous Region, China.
methodsThe cold and hot spot areas, each with 3 counties, had been pre-identified by TB incidence for 5 years from the surveillance database. Whole genome sequencing analysis was performed on all sputum Mtb isolates from the detected cases during January and June 2018. Single nucleotide polymorphism (SNP) of each isolate compared to the H37Rv strain were called and used for lineage and sub-lineage identification. Pairwise SNP differences between every pair of isolates were computed. Analyses of Molecular Variance (AMOVA) across counties of the same hot or cold spot area and between the two areas were performed.
resultsAs a whole, 59.8% (57.7% sub-lineage 2.2 and 2.1% sub-lineage 2.1) and 39.8% (17.8% sub-lineage 4.4, 6.5% sub-lineage 4.2 and 15.5% sub-lineage 4.5) of the Mtb strains were Lineage 2 and Lineage 4 respectively. The percentages of sub-lineage 2.2 (Beijing family strains) are significantly higher in hot spots. Through the MDS dimension reduction, the genomic population structure in the three hot spot counties is significantly different from those three cold spot counties (T-test p = 0.05). The median of SNPs distances among Mtb isolates in cold spots was greater than that in hot spots (897 vs 746, Rank-sum test p < 0.001). Three genomic clusters, each with genomic distance ≤12 SNPs, were identified with 2, 3 and 4 consanguineous strains. Two clusters were from hot spots and one was from cold spots.
conclusionNarrower genotype diversity in the hot area may indicate higher transmissibility of the Mtb strains in the area compared to those in the cold spot area.
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