» Articles » PMID: 33347499

Independent Genomic Polymorphisms in the PknH Serine Threonine Kinase Locus During Evolution of the Mycobacterium Tuberculosis Complex Affect Virulence and Host Preference

Overview
Journal PLoS Pathog
Specialty Microbiology
Date 2020 Dec 21
PMID 33347499
Citations 3
Authors
Affiliations
Soon will be listed here.
Abstract

Species belonging to the Mycobacterium tuberculosis Complex (MTBC) show more than 99% genetic identity but exhibit distinct host preference and virulence. The molecular genetic changes that underly host specificity and infection phenotype within MTBC members have not been fully elucidated. Here, we analysed RD900 genomic region across MTBC members using whole genome sequences from 60 different MTBC strains so as to determine its role in the context of MTBC evolutionary history. The RD900 region comprises two homologous genes, pknH1 and pknH2, encoding a serine/threonine protein kinase PknH flanking the tbd2 gene. Our analysis revealed that RD900 has been independently lost in different MTBC lineages and different strains, resulting in the generation of a single pknH gene. Importantly, all the analysed M. bovis and M. caprae strains carry a conserved deletion within a proline rich-region of pknH, independent of the presence or absence of RD900. We hypothesized that deletion of pknH proline rich-region in M. bovis may affect PknH function, having a potential role in its virulence and evolutionary adaptation. To explore this hypothesis, we constructed two M. bovis 'knock-in' strains containing the M. tuberculosis pknH gene. Evaluation of their virulence phenotype in mice revealed a reduced virulence of both M. bovis knock-in strains compared to the wild type, suggesting that PknH plays an important role in the differential virulence phenotype of M. bovis vs M. tuberculosis.

Citing Articles

Exploring virulence in Mycobacterium bovis: clues from comparative genomics and perspectives for the future.

Mitermite M, Elizari J, Ma R, Farrell D, Gordon S Ir Vet J. 2023; 76(Suppl 1):26.

PMID: 37770951 PMC: 10540498. DOI: 10.1186/s13620-023-00257-6.


Pathogenicity and virulence of .

Rahlwes K, Dias B, Campos P, Alvarez-Arguedas S, Shiloh M Virulence. 2022; 14(1):2150449.

PMID: 36419223 PMC: 9817126. DOI: 10.1080/21505594.2022.2150449.


Phenotypic and genotypic features of the Mycobacterium tuberculosis lineage 1 subgroup in central Vietnam.

Hang N, Hijikata M, Maeda S, Miyabayashi A, Wakabayashi K, Seto S Sci Rep. 2021; 11(1):13609.

PMID: 34193941 PMC: 8245516. DOI: 10.1038/s41598-021-92984-5.

References
1.
Liao Y, Smyth G, Shi W . featureCounts: an efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics. 2013; 30(7):923-30. DOI: 10.1093/bioinformatics/btt656. View

2.
Sharma K, Gupta M, Pathak M, Gupta N, Koul A, Sarangi S . Transcriptional control of the mycobacterial embCAB operon by PknH through a regulatory protein, EmbR, in vivo. J Bacteriol. 2006; 188(8):2936-44. PMC: 1446986. DOI: 10.1128/JB.188.8.2936-2944.2006. View

3.
Said-Salim B, Mostowy S, Kristof A, Behr M . Mutations in Mycobacterium tuberculosis Rv0444c, the gene encoding anti-SigK, explain high level expression of MPB70 and MPB83 in Mycobacterium bovis. Mol Microbiol. 2006; 62(5):1251-63. DOI: 10.1111/j.1365-2958.2006.05455.x. View

4.
Li H, Durbin R . Fast and accurate long-read alignment with Burrows-Wheeler transform. Bioinformatics. 2010; 26(5):589-95. PMC: 2828108. DOI: 10.1093/bioinformatics/btp698. View

5.
Lowe D, Redford P, Wilkinson R, OGarra A, Martineau A . Neutrophils in tuberculosis: friend or foe?. Trends Immunol. 2011; 33(1):14-25. DOI: 10.1016/j.it.2011.10.003. View