Transient Darwinian selection in Salmonella enterica serovar Paratyphi A during 450 years of global spread of enteric fever
Edited by Roy Curtiss III, Arizona State University, Tempe, AZ, and approved July 14, 2014 (received for review June 12, 2014)
Significance
The most recent common ancestor of Paratyphi A, one of the most common causes of enteric fever, existed approximately 450 y ago, centuries before that disease was clinically recognized. Subsequent changes in the genomic sequences included multiple mutations and acquisitions or losses of genes, including bacteriophages and genomic islands. Some of those evolutionary changes were reliably attributed to Darwinian selection, but that selection was only transient, and many genetic changes were subsequently lost because they rendered the bacteria less fit (purifying selection). We interpret the history of Paratyphi A as reflecting drift rather than progressive evolution and suggest that most recent increases in frequencies of bacterial diseases are due to environmental changes rather than the novel evolution of pathogenic bacteria.
Abstract
Multiple epidemic diseases have been designated as emerging or reemerging because the numbers of clinical cases have increased. Emerging diseases are often suspected to be driven by increased virulence or fitness, possibly associated with the gain of novel genes or mutations. However, the time period over which humans have been afflicted by such diseases is only known for very few bacterial pathogens, and the evidence for recently increased virulence or fitness is scanty. Has Darwinian (diversifying) selection at the genomic level recently driven microevolution within bacterial pathogens of humans? Salmonella enterica serovar Paratyphi A is a major cause of enteric fever, with a microbiological history dating to 1898. We identified seven modern lineages among 149 genomes on the basis of 4,584 SNPs in the core genome and estimated that Paratyphi A originated 450 y ago. During that time period, the effective population size has undergone expansion, reduction, and recent expansion. Mutations, some of which inactivate genes, have occurred continuously over the history of Paratyphi A, as has the gain or loss of accessory genes. We also identified 273 mutations that were under Darwinian selection. However, most genetic changes are transient, continuously being removed by purifying selection, and the genome of Paratyphi A has not changed dramatically over centuries. We conclude that Darwinian selection is not responsible for increased frequency of enteric fever and suggest that environmental changes may be more important for the frequency of disease.
Data Availability
Data deposition: The sequence data have been deposited with the European Nucleotide Archive, www.ebi.ac.uk/ena (accession nos. ERR028897–ERR028999, ERR030042–ERR030144, ERR033909–ERR034063, ERR134160–ERR134255, and ERR237537–ERR237542; individual genome assemblies have been deposited under accession nos. PRJEB5545–PRJEB5690). The accession numbers for each strain are listed in Dataset S1, tab 9.
Acknowledgments
We thank Remco R. Bouckaert for assistance and advice with Beast 2; Yajun Song, Ronan Murphy, and Del Pickard for DNA preparation; Philippe Roumagnac for assistance with logistics; and Kathryn E. Holt and Camilla Mazzoni for very early analyses at the beginning of this project. M.A. and Z.Z. were initially supported by Science Foundation of Ireland Grant 05/FE1/B882. F.-X.W. is supported by the programme des Investissements d'Avenir no. ANR-10-LABX-62-IBEID.
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References
1
Y Moodley, et al., Age of the association between Helicobacter pylori and man. PLoS Pathog 8, e1002693 (2012).
2
I Comas, et al., Out-of-Africa migration and Neolithic coexpansion of Mycobacterium tuberculosis with modern humans. Nat Genet 45, 1176–1182 (2013).
3
Y Cui, et al., Historical variations in mutation rate in an epidemic pathogen, Yersinia pestis. Proc Natl Acad Sci USA 110, 577–582 (2013).
4
VJ Schuenemann, et al., Genome-wide comparison of medieval and modern Mycobacterium leprae. Science 341, 179–183 (2013).
5
M He, et al., Emergence and global spread of epidemic healthcare-associated Clostridium difficile. Nat Genet 45, 109–113 (2013).
6
MTG Holden, et al., A genomic portrait of the emergence, evolution, and global spread of a methicillin-resistant Staphylococcus aureus pandemic. Genome Res 23, 653–664 (2013).
7
KE Holt, et al., Shigella sonnei genome sequencing and phylogenetic analysis indicate recent global dissemination from Europe. Nat Genet 44, 1056–1059 (2012).
8
M Achtman, et al., Multilocus sequence typing as a replacement for serotyping in Salmonella enterica. PLoS Pathog; S. Enterica MLST Study Group 8, e1002776 (2012).
9
JA Crump, SP Luby, ED Mintz, The global burden of typhoid fever. Bull World Health Organ 82, 346–353 (2004).
10
DC Smith, Gerhard’s distinction between typhoid and typhus and its reception in America, 1833-1860. Bull Hist Med 54, 368–385 (1980).
11
LB Gwyn, On infection with a Para-Colon bacillus in a case with all the clinical features of typhoid fever. Johns Hopkins Hospital Bulletin 9, 54–56 (1898).
12
FA Bainbridge, The Milroy lectures on paratyphoid fever and meat poisoning. Lancet 179, 705–709 (1912).
13
RL Ochiai, et al., Salmonella paratyphi A rates, Asia. Emerg Infect Dis 11, 1764–1766 (2005).
14
S Karki, P Shakya, AC Cheng, SP Dumre, K Leder, Trends of etiology and drug resistance in enteric fever in the last two decades in Nepal: A systematic review and meta-analysis. Clin Infect Dis 57, e167–e176 (2013).
15
NH Punjabi, et al., Enteric fever burden in North Jakarta, Indonesia: A prospective, community-based study. J Infect Dev Ctries 7, 781–787 (2013).
16
W Liang, et al., Pan-genomic analysis provides insights into the genomic variation and evolution of Salmonella Paratyphi A. PLoS ONE 7, e45346 (2012).
17
SK Gupta, et al., Laboratory-based surveillance of paratyphoid fever in the United States: Travel and antimicrobial resistance. Clin Infect Dis 46, 1656–1663 (2008).
18
M Tourdjman, et al., Unusual increase in reported cases of paratyphoid A fever among travellers returning from Cambodia, January to September 2013. Euro Surveill 18, 18 (2013).
19
A Mutreja, et al., Evidence for several waves of global transmission in the seventh cholera pandemic. Nature 477, 462–465 (2011).
20
M McClelland, et al., Comparison of genome degradation in Paratyphi A and Typhi, human-restricted serovars of Salmonella enterica that cause typhoid. Nat Genet 36, 1268–1274 (2004).
21
KE Holt, et al., Pseudogene accumulation in the evolutionary histories of Salmonella enterica serovars Paratyphi A and Typhi. BMC Genomics 10, 36 (2009).
22
CH Kuo, H Ochman, The extinction dynamics of bacterial pseudogenes. PLoS Genet 6, e1001050 (2010).
23
AK Hottes, et al., Bacterial adaptation through loss of function. PLoS Genet 9, e1003617 (2013).
24
Z Zhou, et al., Neutral genomic microevolution of a recently emerged pathogen, Salmonella enterica serovar Agona. PLoS Genet 9, e1003471 (2013).
25
KE Holt, et al., High-throughput sequencing provides insights into genome variation and evolution in Salmonella Typhi. Nat Genet 40, 987–993 (2008).
26
M Achtman, Insights from genomic comparisons of genetically monomorphic bacterial pathogens. Philos Trans R Soc Lond B Biol Sci 367, 860–867 (2012).
27
X Didelot, M Achtman, J Parkhill, NR Thomson, D Falush, A bimodal pattern of relatedness between the Salmonella Paratyphi A and Typhi genomes: Convergence or divergence by homologous recombination? Genome Res 17, 61–68 (2007).
28
X Didelot, D Falush, Inference of bacterial microevolution using multilocus sequence data. Genetics 175, 1251–1266 (2007).
29
AJ Drummond, MA Suchard, D Xie, A Rambaut, Bayesian phylogenetics with BEAUti and the BEAST 1.7. Mol Biol Evol 29, 1969–1973 (2012).
30
R Bouckaert, et al., BEAST 2: A software platform for Bayesian evolutionary analysis. PLOS Comput Biol 10, e1003537 (2014).
31
JM Smith, The detection and measurement of recombination from sequence data. Genetics 153, 1021–1027 (1999).
32
JR Meyer, et al., Repeatability and contingency in the evolution of a key innovation in phage lambda. Science 335, 428–432 (2012).
33
JE Barrick, et al., Genome evolution and adaptation in a long-term experiment with Escherichia coli. Nature 461, 1243–1247 (2009).
34
O Tenaillon, et al., The molecular diversity of adaptive convergence. Science 335, 457–461 (2012).
35
KE Holt, et al., High-throughput bacterial SNP typing identifies distinct clusters of Salmonella Typhi causing typhoid in Nepalese children. BMC Infect Dis 10, 144 (2010).
36
I Comas, et al., Human T cell epitopes of Mycobacterium tuberculosis are evolutionarily hyperconserved. Nat Genet 42, 498–503 (2010).
37
P Roumagnac, et al., Evolutionary history of Salmonella typhi. Science 314, 1301–1304 (2006).
38
NJ Croucher, et al., Rapid pneumococcal evolution in response to clinical interventions. Science 331, 430–434 (2011).
39
VN Kos, et al., Comparative genomics of vancomycin-resistant Staphylococcus aureus strains and their positions within the clade most commonly associated with Methicillin-resistant S. aureus hospital-acquired infection in the United States. MBio 3, e00112–e12 (2012).
40
MR Farhat, et al., Genomic analysis identifies targets of convergent positive selection in drug-resistant Mycobacterium tuberculosis. Nat Genet 45, 1183–1189 (2013).
41
KE Holt, et al., Multidrug-resistant Salmonella enterica serovar paratyphi A harbors IncHI1 plasmids similar to those found in serovar typhi. J Bacteriol 189, 4257–4264 (2007).
42
S Chattopadhyay, S Paul, DI Kisiela, EV Linardopoulou, EV Sokurenko, Convergent molecular evolution of genomic cores in Salmonella enterica and Escherichia coli. J Bacteriol 194, 5002–5011 (2012).
43
Z Yang, PAML 4: Phylogenetic analysis by maximum likelihood. Mol Biol Evol 24, 1586–1591 (2007).
44
M Achtman, Evolution, population structure, and phylogeography of genetically monomorphic bacterial pathogens. Annu Rev Microbiol 62, 53–70 (2008).
45
G Morelli, et al., Yersinia pestis genome sequencing identifies patterns of global phylogenetic diversity. Nat Genet 42, 1140–1143 (2010).
46
LI Gong, JD Bloom, Epistatically interacting substitutions are enriched during adaptive protein evolution. PLoS Genet 10, e1004328 (2014).
47
M Lynch, The frailty of adaptive hypotheses for the origins of organismal complexity. Proc Natl Acad Sci USA 104, 8597–8604 (2007).
48
M Nei, Selectionism and neutralism in molecular evolution. Mol Biol Evol 22, 2318–2342 (2005).
49
S Gagneux, et al., The competitive cost of antibiotic resistance in Mycobacterium tuberculosis. Science 312, 1944–1946 (2006).
50
DM Weinreich, NF Delaney, MA Depristo, DL Hartl, Darwinian evolution can follow only very few mutational paths to fitter proteins. Science 312, 111–114 (2006).
51
CO Buckee, et al., Role of selection in the emergence of lineages and the evolution of virulence in Neisseria meningitidis. Proc Natl Acad Sci USA 105, 15082–15087 (2008).
52
P Zhu, et al., Fit genotypes and escape variants of subgroup III Neisseria meningitidis during three pandemics of epidemic meningitis. Proc Natl Acad Sci USA 98, 5234–5239 (2001).
53
B Linz, et al., An African origin for the intimate association between humans and Helicobacter pylori. Nature 445, 915–918 (2007).
54
KE Holt, et al., Tracking the establishment of local endemic populations of an emergent enteric pathogen. Proc Natl Acad Sci USA 110, 17522–17527 (2013).
55
V Sangal, et al., Global phylogeny of Shigella sonnei strains from limited single nucleotide polymorphisms (SNPs) and development of a rapid and cost-effective SNP-typing scheme for strain identification by high-resolution melting analysis. J Clin Microbiol 51, 303–305 (2013).
56
KI Bos, et al., A draft genome of Yersinia pestis from victims of the Black Death. Nature 478, 506–510 (2011).
Information & Authors
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Copyright
Freely available online through the PNAS open access option.
Data Availability
Data deposition: The sequence data have been deposited with the European Nucleotide Archive, www.ebi.ac.uk/ena (accession nos. ERR028897–ERR028999, ERR030042–ERR030144, ERR033909–ERR034063, ERR134160–ERR134255, and ERR237537–ERR237542; individual genome assemblies have been deposited under accession nos. PRJEB5545–PRJEB5690). The accession numbers for each strain are listed in Dataset S1, tab 9.
Submission history
Published online: August 4, 2014
Published in issue: August 19, 2014
Keywords
Acknowledgments
We thank Remco R. Bouckaert for assistance and advice with Beast 2; Yajun Song, Ronan Murphy, and Del Pickard for DNA preparation; Philippe Roumagnac for assistance with logistics; and Kathryn E. Holt and Camilla Mazzoni for very early analyses at the beginning of this project. M.A. and Z.Z. were initially supported by Science Foundation of Ireland Grant 05/FE1/B882. F.-X.W. is supported by the programme des Investissements d'Avenir no. ANR-10-LABX-62-IBEID.
Notes
This article is a PNAS Direct Submission.
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Competing Interests
The authors declare no conflict of interest.
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