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. 2019 Jun 12;5(6):eaaw3307.
doi: 10.1126/sciadv.aaw3307. eCollection 2019 Jun.

Genomic determinants of speciation and spread of the Mycobacterium tuberculosis complex

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Genomic determinants of speciation and spread of the Mycobacterium tuberculosis complex

Á Chiner-Oms et al. Sci Adv. .

Abstract

Models on how bacterial lineages differentiate increase our understanding of early bacterial speciation events and the genetic loci involved. Here, we analyze the population genomics events leading to the emergence of the tuberculosis pathogen. The emergence is characterized by a combination of recombination events involving core pathogenesis functions and purifying selection on early diverging loci. We identify the phoR gene, the sensor kinase of a two-component system involved in virulence, as a key functional player subject to pervasive positive selection after the divergence of the Mycobacterium tuberculosis complex from its ancestor. Previous evidence showed that phoR mutations played a central role in the adaptation of the pathogen to different host species. Now, we show that phoR mutations have been under selection during the early spread of human tuberculosis, during later expansions, and in ongoing transmission events. Our results show that linking pathogen evolution across evolutionary and epidemiological time scales points to past and present virulence determinants.

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Figures

Fig. 1
Fig. 1. No ongoing recombination within the MTBC.
(A) Number of homoplasies (gray) as a function of the total number of variants detected (orange) in the MTBC dataset (n = 1591). (B) Linkage disequilibrium (LD) as a function of genetic distance detected in a representative sample of MTBC strains (n = 1591). (C) Site frequency spectrum of MTBC strains using the core variant positions. bp, base pair.
Fig. 2
Fig. 2. Genome-wide variant profiles vary between MCAN, M. tuberculosis, and the MTBC ancestor.
(A) Schematic view of the phylogenetic relationships between the MCAN groups and the MTBC. In fig. S1, a maximum likelihood phylogeny of the MCAN group including the MTBC ancestor can be found. (B) Number of homoplasies (gray) as a function of the total number of variants detected (orange) in the MCAN dataset and in the branch leading to the most recent common ancestor (tMRCA) of MTBC. Black dots indicate recombination events detected in the branch leading to the most recent common ancestor (tMRCA) of the MTBC.
Fig. 3
Fig. 3. Past recombination between MCAN strains and the MTBC ancestor.
(A) Histogram distribution of the recombination fragment ages using the 5-ka (thousand year) scenario (54). A more detailed view can be found in fig. S3, with the confidence intervals plotted. (B) Gene Ontology terms overrepresented in the coding regions contained in the recombinant fragments. Adj., adjusted; BH, Benjamini-Hochberg.
Fig. 4
Fig. 4. Divergent positions between the MTBC ancestor and the MCAN clade.
(A) Average of divSNPs per 10-kb positions (green) as compared to the average of homoplastic variants (gray). The blue arrowheads above the distribution indicate genes that significantly accumulate more divSNPs. (B) Accumulation of divSNPs per gene, corrected by gene length. A small number of genes accumulate a high amount of divSNPs, while most of the genes have a low number of variants or even none. This pattern resembles those of high habitat overlap derived from overlapping habitat models (2).
Fig. 5
Fig. 5. Genes with differential selective pressures across the MTBC speciation stages.
(A) Genes changing selective pressure in the branch of the MTBC ancestor as compared to extant MTBC strains. Red lines mark those genes being outliers of the dN/dS variation distribution. (B) phoR and phoP show different selective pressure dynamics. In both cases, the accumulation of nonsynonymous (dN) or synonymous (dS) mutations through time is measured as the distance to the most common ancestor of the MTBC. The dN and dS values have been corrected by the number of branches in the phylogeny at each time point.
Fig. 6
Fig. 6. phoR is under positive selection in human-affecting strains.
(A) Genome-based phylogeny calculated from a total of 4595 clinical samples obtained from different sources. The synonymous and nonsynonymous variants found in phoR are mapped to the corresponding branch. Variants in internal branches affect complete clades, which are colored in the phylogeny. Homoplasies are marked in the outer circle of the phylogeny. The asterisk marks the G71I phoR variant common to lineages 5 and 6 previously reported by Gonzalo-Asensio et al. (23). (B) Relative age distribution of the nonsynonymous phoR variants in the reference dataset from Coll et al. (16) (left plot) and the transmission dataset from Guerra-Assunção et al. (24) (middle plot) in comparison with the rest of the nonsynonymous genomic variants. In addition, the relative ages of the phoR nonsynonymous variants exclusive of each dataset are shown (right plot). (C) Schematic view of PhoR with the amino acid (AA) changes found across the 4595-sample dataset marked on it. Amino acid changes are significantly more abundant in the sensor domain (P < 0.01). ATP, adenosine 5′-triphosphate. HAMP, Histidine kinase, adenylyl cyclase, methyl-accepting protein and phosphatase domain; DHp, dimerization and histidine phosphotransfer.

References

    1. B. J. Shapiro, What microbial population genomics has taught us about speciation, in Population Genomics, M. Polz, O. P. Rajora, Eds. (Springer, 2018).
    1. Marttinen P., Hanage W. P., Speciation trajectories in recombining bacterial species. PLOS Comput. Biol. 13, e1005640 (2017). - PMC - PubMed
    1. Shapiro B. J., Polz M. F., Microbial speciation. Cold Spring Harb. Perspect. Biol. 7, a018143 (2015). - PMC - PubMed
    1. World Health Organization, Global Tuberculosis Report 2017 (World Health Organization, 2017); www.who.int/tb/publications/global_report/en/.
    1. Comas I., Coscolla M., Luo T., Borrell S., Holt K. E., Kato-Maeda M., Parkhill J., Malla B., Berg S., Thwaites G., Yeboah-Manu D., Bothamley G., Mei J., Wei L., Bentley S., Harris S. R., Niemann S., Diel R., Aseffa A., Gao Q., Young D., Gagneux S., Out-of-Africa migration and Neolithic coexpansion of Mycobacterium tuberculosis with modern humans. Nat. Genet. 45, 1176–1182 (2013). - PMC - PubMed

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