Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Letter
  • Published:

Emergence of host-adapted Salmonella Enteritidis through rapid evolution in an immunocompromised host

Abstract

Host adaptation is a key factor contributing to the emergence of new bacterial, viral and parasitic pathogens. Many pathogens are considered promiscuous because they cause disease across a range of host species, while others are host-adapted, infecting particular hosts1. Host adaptation can potentially progress to host restriction, where the pathogen is strictly limited to a single host species and is frequently associated with more severe symptoms. Host-adapted and host-restricted bacterial clades evolve from within a broader host-promiscuous species and sometimes target different niches within their specialist hosts, such as adapting from a mucosal to a systemic lifestyle. Genome degradation, marked by gene inactivation and deletion, is a key feature of host adaptation, although the triggers initiating genome degradation are not well understood. Here, we show that a chronic systemic non-typhoidal Salmonella infection in an immunocompromised human patient resulted in genome degradation targeting genes that are expendable for a systemic lifestyle. We present a genome-based investigation of a recurrent blood-borne Salmonella enterica serotype Enteritidis (S. Enteritidis) infection covering 15 years in an interleukin-12 β1 receptor-deficient individual that developed into an asymptomatic chronic infection. The infecting S. Enteritidis harboured a mutation in the mismatch repair gene mutS that accelerated the genomic mutation rate. Phylogenetic analysis and phenotyping of multiple patient isolates provides evidence for a remarkable level of within-host evolution that parallels genome changes present in successful host-restricted bacterial pathogens but never before observed on this timescale. Our analysis identifies common pathways of host adaptation and demonstrates the role that immunocompromised individuals can play in this process.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1: Phylogeny of S. Enteritidis gastroenteritis isolates and blood isolates from the IL-12 β1 receptor-deficient patient.
Figure 2: Patient isolates have acquired a large number of pseudogenes.
Figure 3: Colonization of the murine host and interaction with epithelial-like cells by patient isolates.

Similar content being viewed by others

References

  1. Baumler, A. & Fang, F. C. Host specificity of bacterial pathogens. Cold Spring Harb. Perspect. Med. 3, a010041 (2013).

    Article  Google Scholar 

  2. Parkhill, J. et al. Complete genome sequence of a multiple drug resistant Salmonella enterica serovar Typhi CT18. Nature 413, 848–852 (2001).

    Article  Google Scholar 

  3. McClelland, M. et al. Comparison of genome degradation in Paratyphi A and Typhi, human-restricted serovars of Salmonella enterica that cause typhoid. Nature Genet. 36, 1268–1274 (2004).

    Article  Google Scholar 

  4. Zhou, Z. et al. Transient Darwinian selection in Salmonella enterica serovar Paratyphi A during 450 years of global spread of enteric fever. Proc. Natl Acad. Sci. USA 111, 12199–12204 (2014).

    Article  Google Scholar 

  5. Holt, K. E. et al. Pseudogene accumulation in the evolutionary histories of Salmonella enterica serovars Paratyphi A and Typhi. BMC Genomics 10, 36 (2009).

    Article  Google Scholar 

  6. Celum, C. L., Chaisson, R. E., Rutherford, G. W., Barnhart, J. L. & Echenberg, D. F. Incidence of salmonellosis in patients with AIDS. J. Infect. Dis. 156, 998–1002 (1987).

    Article  Google Scholar 

  7. De Beaucoudrey, L. et al. Revisiting human IL-12Rβ1 deficiency: a survey of 141 patients from 30 countries. Medicine 89, 381–402 (2010).

    Article  Google Scholar 

  8. MacLennan, C. et al. Interleukin (IL)-12 and IL-23 are key cytokines for immunity against Salmonella in humans. J. Infect. Dis. 190, 1755–1757 (2004).

    Article  Google Scholar 

  9. Altare, F. et al. Impairment of mycobacterial immunity in human interleukin-12 receptor deficiency. Science 280, 1432–1435 (1998).

    Article  Google Scholar 

  10. Okoro, C. K. et al. Intracontinental spread of human invasive Salmonella Typhimurium pathovariants in sub-Saharan Africa. Nature Genet. 44, 1215–1221 (2012).

    Article  Google Scholar 

  11. Mather, A. E. et al. Distinguishable epidemics of multidrug-resistant Salmonella Typhimurium DT104 in different hosts. Science 341, 1514–1517 (2013).

    Article  Google Scholar 

  12. Schaaper, R. M. Base selection, proofreading, and mismatch repair during DNA replication in Escherichia coli. J. Biol. Chem. 268, 23762–23765 (1993).

    Google Scholar 

  13. Denamur, E. & Matic, I. Evolution of mutation rates in bacteria. Mol. Microbiol. 60, 820–827 (2006).

    Article  Google Scholar 

  14. Funchain, P. et al. The consequences of growth of a mutator strain of Escherichia coli as measured by loss of function among multiple gene targets and loss of fitness. Genetics 154, 959–970 (2000).

    Google Scholar 

  15. Rocha, E. P. C. et al. Comparisons of dN/dS are time dependent for closely related bacterial genomes. J. Theor. Biol. 239, 226–235 (2006).

    Article  Google Scholar 

  16. Kingsley, R. A. et al. Genome and transcriptome adaptation accompanying emergence of the definitive type 2 host-restricted Salmonella enterica serovar Typhimurium pathovar. mBio 4, e00565-13 (2013).

    Article  Google Scholar 

  17. Nuccio, S. P. & Baumler, A. J. Comparative analysis of Salmonella genomes identifies a metabolic network for escalating growth in the inflamed gut. mBio 5, e00929-14 (2014).

    Article  Google Scholar 

  18. Kingsley, R. A. et al. Epidemic multiple drug resistant Salmonella Typhimurium causing invasive disease in sub-Saharan Africa have a distinct genotype. Genome Res. 19, 2279–2287 (2009).

    Article  Google Scholar 

  19. Gong, J. et al. Spontaneous conversion between mutL and 6 bpΔmutL in Salmonella typhimurium LT7: association with genome diversification and possible roles in bacterial adaptation. Genomics 90, 542–549 (2007).

    Article  Google Scholar 

  20. Thomson, N. R. et al. Comparative genome analysis of Salmonella Enteritidis PT4 and Salmonella Gallinarum 287/91 provides insights into evolutionary and host adaptation pathways. Genome Res. 18, 1624–1637 (2008).

    Article  Google Scholar 

  21. SMALT v.0.7.4 (The Wellcome Trust Sanger Institute); http://www.sanger.ac.uk/science/tools/smalt-0

  22. Kurtz, S. et al. Versatile and open software for comparing large genomes. Genome Biol. 5, R12 (2004).

    Article  Google Scholar 

  23. Kurtz, S. et al. REPuter: the manifold applications of repeat analysis on a genomic scale. Nucleic Acids Res. 29, 4633–4642 (2001).

    Article  Google Scholar 

  24. Holt, K. E. et al. High-throughput sequencing provides insights into genome variation and evolution in Salmonella Typhi. Nature Genet. 40, 987–993 (2008).

    Article  Google Scholar 

  25. He, M. et al. Evolutionary dynamics of Clostridium difficile over short and long time scales. Proc. Natl Acad. Sci. USA 107, 7527–7532 (2010).

    Article  Google Scholar 

  26. Stamatakis, A. RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models. Bioinformatics 22, 2688–2690 (2006).

    Article  Google Scholar 

  27. Zerbino, D. & Birney, E. Velvet: algorithms for de novo short read assembly using de Bruijn graphs. Genome Res. 18, 821–829 (2008).

    Article  Google Scholar 

  28. BEAST v.1.7.5 (University of Edinburgh); http://beast.bio.ed.ac.uk/

  29. BEAGLE v.4 (University of Washington); https://faculty.washington.edu/browning/beagle/b3.html

  30. HGAP v.3.0 (PacBio); https://github.com/PacificBiosciences/Bioinformatics-Training/wiki/HGAP

  31. Otto, T. D., Dillon, G. P., Degrave, W. S. & Berriman, M. RATT: rapid annotation transfer tool. Nucleic Acids Res. 39, e57 (2011).

    Article  Google Scholar 

  32. Carver, T. J. et al. ACT: the Artemis comparison tool. Bioinformatics 21, 3422–3423 (2005).

    Article  Google Scholar 

  33. Alexa, A. & Rahnenfuhrer, J. R package version 2.20.0, topGO: Enrichment analysis for Gene Ontology (2010).

  34. Huntley, R. P. et al. The GOA database: Gene Ontology annotation updates for 2015. Nucleic Acids Res. 43, D1057–D1063 (2015).

    Article  Google Scholar 

  35. Tsai, C. M. & Frasch, C. E. A sensitive silver stain for detecting lipopolysaccharides in polyacrylamide gels. Anal. Biochem. 119, 115–119 (1982).

    Article  Google Scholar 

Download references

Acknowledgements

The authors thank D. Harris, G. Langridge and the Pathogen Informatics team for help with sequencing and bioinformatics and the Sanger Institute Research Support Facility for help with the animal studies. This work was funded by the Wellcome Trust through core funding for the Sanger Institute Pathogen Variation Group.

Author information

Authors and Affiliations

Authors

Contributions

R.A.K. and G.D. designed the study. E.J.K., D.K., R.D., A.C., A.M.L.L., J.H., R.A.K., E.G.K., J.H., J.F., S.C., L.K., S.K., D.G., T.W., C.H. and F.J.C. collected the data. E.J.K., R.A.K., T.D.O., J.F., J.P., S.H. and C.M. analysed the data. E.J.K., R.A.K., G.D., E.G.K. and J.P. wrote the manuscript.

Corresponding author

Correspondence to Robert A. Kingsley.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Supplementary information

Supplementary information

Supplementary Figures 1–10, Tables I–V, Discussion and References (PDF 3741 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Klemm, E., Gkrania-Klotsas, E., Hadfield, J. et al. Emergence of host-adapted Salmonella Enteritidis through rapid evolution in an immunocompromised host. Nat Microbiol 1, 15023 (2016). https://doi.org/10.1038/nmicrobiol.2015.23

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1038/nmicrobiol.2015.23

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing