The geno-spatio analysis of Mycobacterium tuberculosis complex in hot and cold spots of Guangxi, China.


Journal

BMC infectious diseases
ISSN: 1471-2334
Titre abrégé: BMC Infect Dis
Pays: England
ID NLM: 100968551

Informations de publication

Date de publication:
01 Jul 2020
Historique:
received: 11 02 2020
accepted: 22 06 2020
entrez: 3 7 2020
pubmed: 3 7 2020
medline: 16 7 2020
Statut: epublish

Résumé

At 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. The 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. As 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. Narrower 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.

Sections du résumé

BACKGROUND BACKGROUND
At 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.
METHODS METHODS
The 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.
RESULTS RESULTS
As 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.
CONCLUSION CONCLUSIONS
Narrower 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.

Identifiants

pubmed: 32611396
doi: 10.1186/s12879-020-05189-y
pii: 10.1186/s12879-020-05189-y
pmc: PMC7329418
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

462

Subventions

Organisme : National Natural Science Foundation of China
ID : 81760603
Organisme : Natural Science Foundation of Guangxi Province
ID : 2018GXNSFAA281018
Organisme : Guangxi Zhuang Autonomous Region Health Commission (CN)
ID : S2019067
Organisme : FIC NIH HHS
ID : D43TW009522
Pays : United States

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Auteurs

Dingwen Lin (D)

Department of Tuberculosis Control, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, 530028, Guangxi, China.

Zhezhe Cui (Z)

Department of Tuberculosis Control, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, 530028, Guangxi, China.

Virasakdi Chongsuvivatwong (V)

Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Songkhla, 90110, Thailand. cvirasak@medicine.psu.ac.th.

Prasit Palittapongarnpim (P)

Pornchai Matangkasombut Center of Microbial Genomics, Department of Microbiology, Faculty of Science, Mahidol University, Bangkok, 10700, Thailand.

Angkana Chaiprasert (A)

Office for Research and Development, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand.

Wuthiwat Ruangchai (W)

Pornchai Matangkasombut Center of Microbial Genomics, Department of Microbiology, Faculty of Science, Mahidol University, Bangkok, 10700, Thailand.

Jing Ou (J)

Department of Tuberculosis Control, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, 530028, Guangxi, China.

Liwen Huang (L)

Department of Tuberculosis Control, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, 530028, Guangxi, China.

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Classifications MeSH