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PMID: 16385065 Published · ppublish English Journal Article

Global phylogeny of Mycobacterium tuberculosis based on single nucleotide polymorphism (SNP) analysis: insights into tuberculosis evolution, phylogenetic accuracy of other DNA fingerprinting systems, and recommendations for a minimal standard SNP set.

Journal of bacteriology ·Vol. 188 ·No. 2 ·2006-01-00 ·Pages 759-72

Filliol I, Motiwala AS, Cavatore M, Qi W, Hazbón MH, Bobadilla del Valle M, Fyfe J, García-García L, Rastogi N, Sola C, Zozio T, Guerrero MI, León CI, Crabtree J, Angiuoli S, Eisenach KD, Durmaz R, Joloba ML, Rendón A, Sifuentes-Osornio J, Ponce de León A, Cave MD, Fleischmann R, Whittam TS, Alland D

Abstract

We analyzed a global collection of Mycobacterium tuberculosis strains using 212 single nucleotide polymorphism (SNP) markers. SNP nucleotide diversity was high (average across all SNPs, 0.19), and 96% of the SNP locus pairs were in complete linkage disequilibrium. Cluster analyses identified six deeply branching, phylogenetically distinct SNP cluster groups (SCGs) and five subgroups. The SCGs were strongly associated with the geographical origin of the M. tuberculosis samples and the birthplace of the human hosts. The most ancestral cluster (SCG-1) predominated in patients from the Indian subcontinent, while SCG-1 and another ancestral cluster (SCG-2) predominated in patients from East Asia, suggesting that M. tuberculosis first arose in the Indian subcontinent and spread worldwide through East Asia. Restricted SCG diversity and the prevalence of less ancestral SCGs in indigenous populations in Uganda and Mexico suggested a more recent introduction of M. tuberculosis into these regions. The East African Indian and Beijing spoligotypes were concordant with SCG-1 and SCG-2, respectively; X and Central Asian spoligotypes were also associated with one SCG or subgroup combination. Other clades had less consistent associations with SCGs. Mycobacterial interspersed repetitive unit (MIRU) analysis provided less robust phylogenetic information, and only 6 of the 12 MIRU microsatellite loci were highly differentiated between SCGs as measured by GST. Finally, an algorithm was devised to identify two minimal sets of either 45 or 6 SNPs that could be used in future investigations to enable global collaborations for studies on evolution, strain differentiation, and biological differences of M. tuberculosis.

MeSH Terms
Algorithms Bacterial Typing Techniques/methods Evolution, Molecular Genes, Bacterial Geography Humans Minisatellite Repeats Multigene Family Mycobacterium tuberculosis/genetics Polymorphism, Single Nucleotide Species Specificity Tuberculosis/microbiology
Authors & Affiliations
25 authors, click to expand affiliations / ORCID
Filliol Ingrid
Division of Infectious Disease, University of Medicine and Dentistry of New Jersey, 185 South Orange Ave., MSB A920C, Newark, NJ 07103. allandda@umdnj.edu.
Motiwala Alifiya S
Cavatore Magali
Qi Weihong
Hazbón Manzour Hernando
Bobadilla del Valle Miriam
Fyfe Janet
García-García Lourdes
Rastogi Nalin
Sola Christophe
Zozio Thierry
Guerrero Marta Inírida
León Clara Inés
Crabtree Jonathan
Angiuoli Sam
Eisenach Kathleen D
Durmaz Riza
Joloba Moses L
Rendón Adrian
Sifuentes-Osornio José
Ponce de León Alfredo
Cave M Donald
Fleischmann Robert
Whittam Thomas S
Alland David
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Article Info
Journal
Journal of bacteriology
Abbr.
J Bacteriol
ISSN
0021-9193
Published
2006-01-00
Pages
759-72
Language
English
Region
United States
NLM ID
2985120R
PMCID
PMC1347298
Subset
IM
Grants
NIAID NIH HHS · R01 AI046669 · United States
NIAID NIH HHS · R01 AI049352 · United States
Corrections
ErratumIn
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