Bacterial genome-wide association study of hyper-virulent pneumococcal serotype 1 identifies genetic variation associated with neurotropism.
Adolescent
Central Nervous System
/ microbiology
Child
Child, Preschool
Genetic Variation
/ genetics
Genome-Wide Association Study
Humans
Infant
Meningitis, Pneumococcal
/ microbiology
Phylogeny
Polymorphism, Single Nucleotide
Sequence Analysis, DNA
Streptococcus pneumoniae
/ genetics
Viral Tropism
/ genetics
Journal
Communications biology
ISSN: 2399-3642
Titre abrégé: Commun Biol
Pays: England
ID NLM: 101719179
Informations de publication
Date de publication:
08 10 2020
08 10 2020
Historique:
received:
29
06
2020
accepted:
11
09
2020
entrez:
9
10
2020
pubmed:
10
10
2020
medline:
22
6
2021
Statut:
epublish
Résumé
Hyper-virulent Streptococcus pneumoniae serotype 1 strains are endemic in Sub-Saharan Africa and frequently cause lethal meningitis outbreaks. It remains unknown whether genetic variation in serotype 1 strains modulates tropism into cerebrospinal fluid to cause central nervous system (CNS) infections, particularly meningitis. Here, we address this question through a large-scale linear mixed model genome-wide association study of 909 African pneumococcal serotype 1 isolates collected from CNS and non-CNS human samples. By controlling for host age, geography, and strain population structure, we identify genome-wide statistically significant genotype-phenotype associations in surface-exposed choline-binding (P = 5.00 × 10
Identifiants
pubmed: 33033372
doi: 10.1038/s42003-020-01290-9
pii: 10.1038/s42003-020-01290-9
pmc: PMC7545184
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
559Subventions
Organisme : Medical Research Council
ID : MR/P011284/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/N023129/1
Pays : United Kingdom
Organisme : Bill & Melinda Gates Foundation
ID : OPP1023440
Pays : United States
Organisme : Medical Research Council
ID : MR/R003076/1
Pays : United Kingdom
Organisme : Bill & Melinda Gates Foundation
ID : OPP1034556
Pays : United States
Organisme : Wellcome Trust
Pays : United Kingdom
Références
Henriques-Normark, B. & Tuomanen, E. I. The Pneumococcus: epidemiology, microbiology, and pathogenesis. Cold Spring Harb. Perspect. Med. 3, https://doi.org/10.1101/cshperspect.a010215 (2013).
Wahl, B. et al. Burden of Streptococcus pneumoniae and Haemophilus influenzae type b disease in children in the era of conjugate vaccines: global, regional, and national estimates for 2000-15. Lancet Glob. Health 6, e744–e757 (2018).
pubmed: 29903376
pmcid: 6005122
doi: 10.1016/S2214-109X(18)30247-X
Brueggemann, A. B. et al. Clonal relationships between invasive and carriage Streptococcus pneumoniae and serotype- and clone-specific differences in invasive disease potential. J. Infect. Dis. 187, 1424–1432 (2003).
pubmed: 12717624
doi: 10.1086/374624
Hanage, W. P. et al. Invasiveness of serotypes and clones of Streptococcus pneumoniae among children in Finland. Infect. Immun. 73, 431–435 (2005).
pubmed: 15618181
pmcid: 538975
doi: 10.1128/IAI.73.1.431-435.2005
Hausdorff, W. P., Feikin, D. R. & Klugman, K. P. Epidemiological differences among pneumococcal serotypes. Lancet Infect. Dis. 5, 83–93 (2005).
pubmed: 15680778
doi: 10.1016/S1473-3099(05)70083-9
pmcid: 15680778
Gladstone, R. Phenotypic and Genotypic Analysis of Streptococcus Pneumoniae Diversity during the Introduction of Pneumococcal Conjugate Vaccines in the UK (University of Southampton, 2014).
Johnson, H. L. et al. Systematic evaluation of serotypes causing invasive pneumococcal disease among children under five: The Pneumococcal Global Serotype Project. PLoS Med. 7, e1000348 (2010).
pubmed: 20957191
pmcid: 2950132
doi: 10.1371/journal.pmed.1000348
Mackenzie, G. A. et al. Effect of the introduction of pneumococcal conjugate vaccination on invasive pneumococcal disease in The Gambia: a population-based surveillance study. Lancet Infect. Dis. 16, 703–711 (2016).
pubmed: 26897105
pmcid: 4909992
doi: 10.1016/S1473-3099(16)00054-2
Cohen, C. et al. Effectiveness of the 13-valent pneumococcal conjugate vaccine against invasive pneumococcal disease in South African children: a case-control study. Lancet Glob. Health, https://doi.org/10.1016/S2214-109X(17)30043-8 (2017).
Yaro, S. et al. Epidemiological and molecular characteristics of a highly lethal pneumococcal meningitis epidemic in Burkina Faso. Clin. Infect. Dis. 43, https://doi.org/10.1086/506940 (2006).
Leimkugel, J. et al. An outbreak of serotype 1 Streptococcus pneumoniae meningitis in Northern Ghana with features that are characteristic of Neisseria meningitidis meningitis epidemics. J. Infect. Dis. 192, 192–199 (2005).
pubmed: 15962213
doi: 10.1086/431151
pmcid: 15962213
Antonio, M. et al. Seasonality and outbreak of a predominant Streptococcus pneumoniae serotype 1 clone from The Gambia: expansion of ST217 hypervirulent clonal complex in West Africa. BMC Microbiol. 8, https://doi.org/10.1186/1471-2180-8-198 (2008).
Mehiri-Zghal, E. et al. Molecular epidemiology of a Streptococcus pneumoniae serotype 1 outbreak in a Tunisian jail. Diagnostic Microbiol. Infect. Dis. 66, 225–227 (2010).
doi: 10.1016/j.diagmicrobio.2009.05.008
Kwambana-Adams, B. A. et al. An outbreak of pneumococcal meningitis among older children (≥5 years) and adults after the implementation of an infant vaccination programme with the 13-valent pneumococcal conjugate vaccine in Ghana. BMC Infect. Dis. 16, 575 (2016).
pubmed: 27756235
pmcid: 5070171
doi: 10.1186/s12879-016-1914-3
Dagan, R. et al. An outbreak of Streptococcus pneumoniae serotype 1 in a closed community in southern Israel. Clin. Infect. Dis. 30, 319–321 (2000).
pubmed: 10671335
doi: 10.1086/313645
pmcid: 10671335
Gupta, A. et al. Outbreak of Streptococcus pneumoniae serotype 1 pneumonia in a United Kingdom school. BMJ 337, https://doi.org/10.1136/bmj.a2964 (2008).
DeMaria, A. Jr., Browne, K., Berk, S. L., Sherwood, E. J. & McCabe, W. R. An outbreak of type 1 pneumococcal pneumonia in a men’s shelter. JAMA 244, 1446–1449 (1980).
pubmed: 7420632
doi: 10.1001/jama.1980.03310130024022
pmcid: 7420632
Smillie, W. G., Warnock, G. H. & White, H. J. A Study of a type I pneumococcus epidemic at the state hospital at Worcester, Mass. Am. J. Public Health Nations Health 28, 293–302 (1938).
pubmed: 18014798
pmcid: 1529227
doi: 10.2105/AJPH.28.3.293
Gratten, M. et al. An outbreak of serotype 1 Streptococcus pneumoniae infection in central Australia. Med. J. Aust. 158, 340–342 (1993).
pubmed: 8474377
doi: 10.5694/j.1326-5377.1993.tb121794.x
pmcid: 8474377
Staples, M. et al. Molecular characterization of an Australian serotype 1 Streptococcus pneumoniae outbreak. Epidemiol. Infect. 143, 325–333 (2015).
pubmed: 24666470
doi: 10.1017/S0950268814000648
pmcid: 24666470
Lai, J. et al. Surveillance of pneumococcal serotype 1 carriage during an outbreak of serotype 1 invasive pneumococcal disease in central Australia 2010-2012. BMC Infect. Dis. 13, 409 (2013).
pubmed: 24138669
pmcid: 3766201
doi: 10.1186/1471-2334-13-409
Smith-Vaughan, H. et al. Age-specific cluster of cases of serotype 1 Streptococcus pneumoniae carriage in remote indigenous communities in Australia. Clin. Vaccin. Immunol. 16, 218–221 (2009).
doi: 10.1128/CVI.00283-08
Le Hello, S. et al. Invasive serotype 1 Streptococcus pneumoniae outbreaks in the South Pacific from 2000 to 2007. J. Clin. Microbiol. 48, 2968–2971 (2010).
pubmed: 20534799
pmcid: 2916583
doi: 10.1128/JCM.01615-09
Ritchie, N. D., Mitchell, T. J. & Evans, T. J. What is different about serotype 1 pneumococci? Future Microbiol. 7, 33–46 (2011).
doi: 10.2217/fmb.11.146
Hathaway, L. J., Grandgirard, D., Valente, L. G., Tauber, M. G. & Leib, S. L. Streptococcus pneumoniae capsule determines disease severity in experimental pneumococcal meningitis. Open Biol. 6, https://doi.org/10.1098/rsob.150269 (2016).
Kadioglu, A., Weiser, J. N., Paton, J. C. & Andrew, P. W. The role of Streptococcus pneumoniae virulence factors in host respiratory colonization and disease. Nat. Rev. Micro. 6, 288–301 (2008).
doi: 10.1038/nrmicro1871
Hirst, R. A. et al. Streptococcus pneumoniae deficient in pneumolysin or autolysin has reduced virulence in meningitis. J. Infect. Dis. 197, 744–751 (2008).
pubmed: 18260758
doi: 10.1086/527322
pmcid: 18260758
Alhamdi, Y. et al. Circulating pneumolysin is a potent inducer of cardiac injury during pneumococcal infection. PLoS Pathog. 11, e1004836 (2015).
pubmed: 25973949
pmcid: 4431880
doi: 10.1371/journal.ppat.1004836
Jacques, L. C. et al. Increased pathogenicity of pneumococcal serotype 1 is driven by rapid autolysis and release of pneumolysin. Nat. Commun. 11, 1892 (2020).
pubmed: 32312961
pmcid: 7170840
doi: 10.1038/s41467-020-15751-6
Read, T. & Massey, R. Characterizing the genetic basis of bacterial phenotypes using genome-wide association studies: a new direction for bacteriology. Genome Med. 6, 109 (2014).
pubmed: 25593593
pmcid: 4295408
doi: 10.1186/s13073-014-0109-z
Power, R. A., Parkhill, J. & de Oliveira, T. Microbial genome-wide association studies: lessons from human GWAS. Nat. Rev. Genet. 18, 41–50 (2017).
pubmed: 27840430
doi: 10.1038/nrg.2016.132
Lees, J. A. et al. Large scale genomic analysis shows no evidence for pathogen adaptation between the blood and cerebrospinal fluid niches during bacterial meningitis. Microb. Genom. 3, e000103 (2017).
Lilje, B. et al. Whole-genome sequencing of bloodstream Staphylococcus aureus isolates does not distinguish bacteraemia from endocarditis. Microb. Genom. 3, https://doi.org/10.1099/mgen.0.000138 (2017).
Lees, J. A. et al. Joint sequencing of human and pathogen genomes reveals the genetics of pneumococcal meningitis. Nat. Commun. 10, 2176 (2019).
pubmed: 31092817
pmcid: 6520353
doi: 10.1038/s41467-019-09976-3
Li, Y. et al. Genome-wide association analyses of invasive pneumococcal isolates identify a missense bacterial mutation associated with meningitis. Nat. Commun. 10, 178 (2019).
pubmed: 30643125
pmcid: 6331587
doi: 10.1038/s41467-018-07997-y
Young, B. C. et al. Panton–Valentine leucocidin is the key determinant of Staphylococcus aureus pyomyositis in a bacterial GWAS. eLife 8, e42486 (2019).
pubmed: 30794157
pmcid: 6457891
doi: 10.7554/eLife.42486
Kulohoma, B. W. et al. Comparative genomic analysis of meningitis- and bacteremia-causing pneumococci identifies a common core genome. Infect. Immun. 83, 4165–4173 (2015).
pubmed: 26259813
pmcid: 4567637
doi: 10.1128/IAI.00814-15
Davies, M. R. et al. Atlas of group A streptococcal vaccine candidates compiled using large-scale comparative genomics. Nat. Genet. 51, 1035–1043 (2019).
pubmed: 31133745
pmcid: 6650292
doi: 10.1038/s41588-019-0417-8
Sheppard, S. K. et al. Genome-wide association study identifies vitamin B5 biosynthesis as a host specificity factor in Campylobacter. Proc. Natl Acad. Sci. https://doi.org/10.1073/pnas.1305559110 (2013).
Lees, J. A. et al. Genome-wide identification of lineage and locus specific variation associated with pneumococcal carriage duration. eLife 6, e26255 (2017).
pubmed: 28742023
pmcid: 5576492
doi: 10.7554/eLife.26255
Sieber, R. N. et al. Genome investigations show host adaptation and transmission of LA-MRSA CC398 from pigs into Danish healthcare institutions. Sci. Rep. 9, 18655 (2019).
pubmed: 31819134
pmcid: 6901509
doi: 10.1038/s41598-019-55086-x
Laabei, M. et al. Predicting the virulence of MRSA from its genome sequence. Genome Res. https://doi.org/10.1101/gr.165415.113 (2014).
Coll, F. et al. Genome-wide analysis of multi- and extensively drug-resistant Mycobacterium tuberculosis. Nat. Genet. 50, 307–316 (2018).
pubmed: 29358649
doi: 10.1038/s41588-017-0029-0
pmcid: 29358649
Chewapreecha, C. et al. Comprehensive identification of single nucleotide polymorphisms associated with beta-lactam resistance within pneumococcal mosaic genes. PLoS Genet. 10, e1004547 (2014).
pubmed: 25101644
pmcid: 4125147
doi: 10.1371/journal.pgen.1004547
Farhat, M. R. et al. Genomic analysis identifies targets of convergent positive selection in drug-resistant Mycobacterium tuberculosis. Nat. Genet. advance online publication, https://doi.org/10.1038/ng.2747 (2013).
Suzuki, M., Shibayama, K. & Yahara, K. A genome-wide association study identifies a horizontally transferred bacterial surface adhesin gene associated with antimicrobial resistant strains. Sci. Rep. 6, 37811 (2016).
pubmed: 27892531
pmcid: 5124939
doi: 10.1038/srep37811
Hicks, N. D., Carey, A. F., Yang, J., Zhao, Y. & Fortune, S. M. Bacterial genome-wide association identifies novel factors that contribute to ethionamide and prothionamide susceptibility in Mycobacterium tuberculosis. mBio 10, e00616–e00619 (2019).
pubmed: 31015328
pmcid: 6479004
doi: 10.1128/mBio.00616-19
Obolski, U. et al. Identifying genes associated with invasive disease in S. pneumoniae by applying a machine learning approach to whole genome sequence typing data. Scientific reports 9, 4049, https://doi.org/10.1038/s41598-019-40346-7 (2019).
Croucher, N., Harris, S., Fraser, C. & Quail, M. Rapid pneumococcal evolution in response to clinical interventions. Science 331, https://doi.org/10.1126/science.1198545 (2011).
Brueggemann, A. B. & Spratt, B. G. Geographic distribution and clonal diversity of streptococcus pneumoniae serotype 1 isolates. J. Clin. Microbiol. 41, 4966–4970 (2003).
pubmed: 14605125
pmcid: 262517
doi: 10.1128/JCM.41.11.4966-4970.2003
Cornick, J. E. et al. Region-specific diversification of the highly virulent serotype 1 Streptococcus pneumoniae. Microb. Genom. 1, https://doi.org/10.1099/mgen.0.000027 (2015).
Gladstone, R. A. et al. International genomic definition of pneumococcal lineages, to contextualise disease, antibiotic resistance and vaccine impact. EBioMedicine 43, 338–346 (2019).
pubmed: 31003929
pmcid: 6557916
doi: 10.1016/j.ebiom.2019.04.021
Jaillard, M. et al. A fast and agnostic method for bacterial genome-wide association studies: bridging the gap between k-mers and genetic events. PLOS Genet. 14, e1007758 (2018).
pubmed: 30419019
pmcid: 6258240
doi: 10.1371/journal.pgen.1007758
Enright, M. C. & Spratt, B. G. A multilocus sequence typing scheme for Streptococcus pneumoniae: identification of clones associated with serious invasive disease. Microbiology 144, 3049–3060 (1998).
pubmed: 9846740
doi: 10.1099/00221287-144-11-3049
pmcid: 9846740
Lippert, C. et al. FaST linear mixed models for genome-wide association studies. Nat. Methods 8, 833–835 (2011).
pubmed: 21892150
doi: 10.1038/nmeth.1681
pmcid: 21892150
Zhou, X. & Stephens, M. Genome-wide efficient mixed-model analysis for association studies. Nat. Genet. 44, 821–824 (2012).
pubmed: 22706312
pmcid: 3386377
doi: 10.1038/ng.2310
Lees, J. A., Tien Mai, T., Galardini, M., Wheeler, N. E. & Corander, J. Improved inference and prediction of bacterial genotype-phenotype associations using pangenome-spanning regressions. bioRxiv, 852426, https://doi.org/10.1101/852426 (2019).
Bentley, S. et al. Genetic analysis of the capsular biosynthetic locus from all 90 pneumococcal serotypes. PLoS Genet. 2, https://doi.org/10.1371/journal.pgen.0020031 (2006).
Daniels, C. C. et al. The proline-rich region of pneumococcal surface proteins A and C contains surface-accessible epitopes common to all pneumococci and elicits antibody-mediated protection against sepsis. Infect. Immun. 78, 2163–2172 (2010).
pubmed: 20194601
pmcid: 2863538
doi: 10.1128/IAI.01199-09
Manso, A. S. et al. A random six-phase switch regulates pneumococcal virulence via global epigenetic changes. Nat. Commun. 5, 5055 (2014).
pubmed: 25268848
pmcid: 4190663
doi: 10.1038/ncomms6055
Oliver, M. B., Basu Roy, A., Kumar, R., Lefkowitz, E. J. & Swords, W. E. Streptococcus pneumoniae TIGR4 phase-locked opacity variants differ in virulence phenotypes. mSphere 2, e00386-00317 (2017).
doi: 10.1128/mSphere.00386-17
Li, J.-W., Li, J., Wang, J., Li, C. & Zhang, J.-R. Molecular mechanisms of hsdS inversions in the cod locus of Streptococcus pneumoniae. J. Bacteriol. 201, e00581-00518 (2019).
Li, J. et al. Epigenetic switch driven by DNA inversions dictates phase variation in Streptococcus pneumoniae. PLoS Pathog. 12, e1005762 (2016).
pubmed: 27427949
pmcid: 4948785
doi: 10.1371/journal.ppat.1005762
Claire, M. et al. Epidemiology of serotype 1 invasive pneumococcal disease, South Africa, 2003–2013. Emerg. Infect. Dis. J. 22, https://doi.org/10.3201/eid2202.150967 (2016).
Dave, S., Brooks-Walter, A., Pangburn, M. K. & McDaniel, L. S. PspC, a pneumococcal surface protein, binds human factor H. Infect. Immun. 69, 3435–3437 (2001).
pubmed: 11292770
pmcid: 98306
doi: 10.1128/IAI.69.5.3435-3437.2001
Dieudonne-Vatran, A. et al. Clinical isolates of Streptococcus pneumoniae bind the complement inhibitor C4b-binding protein in a PspC allele-dependent fashion. J. Immunol. (Baltim., Md.: 1950) 182, 7865–7877 (2009).
doi: 10.4049/jimmunol.0802376
Kerr, A. R. et al. The contribution of PspC to pneumococcal virulence varies between strains and is accomplished by both complement evasion and complement-independent mechanisms. Infect. Immun. 74, 5319–5324 (2006).
pubmed: 16926426
pmcid: 1594871
doi: 10.1128/IAI.00543-06
Haleem, K. S. et al. The pneumococcal surface proteins PspA and PspC sequester host C4-binding protein to inactivate complement C4b on the bacterial surface. Infect. Immun. 87, https://doi.org/10.1128/iai.00742-18 (2019).
Orihuela, C. J. et al. Laminin receptor initiates bacterial contact with the blood brain barrier in experimental meningitis models. J. Clin. Investig. 119, 1638–1646 (2009).
pubmed: 19436113
doi: 10.1172/JCI36759
pmcid: 19436113
Thepparit, C. & Smith, D. R. Serotype-specific entry of dengue virus into liver cells: identification of the 37-kilodalton/67-kilodalton high-affinity laminin receptor as a dengue virus serotype 1 receptor. J. Virol. 78, 12647–12656 (2004).
pubmed: 15507651
pmcid: 525075
doi: 10.1128/JVI.78.22.12647-12656.2004
Akache, B. et al. The 37/67-kilodalton laminin receptor is a receptor for adeno-associated virus serotypes 8, 2, 3, and 9. J. Virol. 80, 9831–9836 (2006).
pubmed: 16973587
pmcid: 1617255
doi: 10.1128/JVI.00878-06
Wang, K. S., Kuhn, R. J., Strauss, E. G., Ou, S. & Strauss, J. H. High-affinity laminin receptor is a receptor for Sindbis virus in mammalian cells. J. Virol. 66, 4992–5001 (1992).
pubmed: 1385835
pmcid: 241351
doi: 10.1128/JVI.66.8.4992-5001.1992
Ludwig, G. V., Kondig, J. P. & Smith, J. F. A putative receptor for Venezuelan equine encephalitis virus from mosquito cells. J. Virol. 70, 5592–5599 (1996).
pubmed: 8764073
pmcid: 190519
doi: 10.1128/JVI.70.8.5592-5599.1996
Gauczynski, S. et al. The 37-kDa/67-kDa laminin receptor acts as the cell-surface receptor for the cellular prion protein. Embo J. 20, 5863–5875 (2001).
pubmed: 11689427
pmcid: 125290
doi: 10.1093/emboj/20.21.5863
Zhang, J. R. et al. The polymeric immunoglobulin receptor translocates pneumococci across human nasopharyngeal epithelial cells. Cell 102, 827–837 (2000).
pubmed: 11030626
doi: 10.1016/S0092-8674(00)00071-4
Hammerschmidt, S., Talay, S. R., Brandtzaeg, P. & Chhatwal, G. S. SpsA, a novel pneumococcal surface protein with specific binding to secretory immunoglobulin A and secretory component. Mol. Microbiol. 25, 1113–1124 (1997).
pubmed: 9350867
doi: 10.1046/j.1365-2958.1997.5391899.x
Orihuela, C. J. et al. Microarray analysis of pneumococcal gene expression during invasive disease. Infect. Immun. 72, https://doi.org/10.1128/IAI.72.10.5582-5596.2004 (2004).
Georgieva, M., Kagedan, L., Lu, Y.-J., Thompson, C. M. & Lipsitch, M. Antigenic variation in Streptococcus pneumoniae PspC promotes immune escape in the presence of variant-specific immunity. mBio 9, e00264-00218 (2018).
doi: 10.1128/mBio.00264-18
Browall, S. et al. Intraclonal variations among Streptococcus pneumoniae isolates influence the likelihood of invasive disease in children. J. Infect. Dis. 209, 377–388 (2014).
pubmed: 24009156
doi: 10.1093/infdis/jit481
Kilian, M. & Tettelin, H. Identification of virulence-associated properties by comparative genome analysis of Streptococcus pneumoniae, S. pseudopneumoniae, S. mitis, Three S. oralis Subspecies, and S. infantis. mBio 10, https://doi.org/10.1128/mBio.01985-19 (2019).
Gamez, G. & Hammerschmidt, S. Combat pneumococcal infections: adhesins as candidates for protein-based vaccine development. Curr. Drug Targets 13, 323–337 (2012).
pubmed: 22206255
doi: 10.2174/138945012799424697
pmcid: 22206255
Mook-Kanamori, B. B., Geldhoff, M., van der Poll, T. & van de Beek, D. Pathogenesis and pathophysiology of pneumococcal meningitis. Clin. Microbiol. Rev. 24, 557–591 (2011).
pubmed: 21734248
pmcid: 3131058
doi: 10.1128/CMR.00008-11
Ricci, S. et al. The factor H-binding fragment of PspC as a vaccine antigen for the induction of protective humoral immunity against experimental pneumococcal sepsis. Vaccine 29, 8241–8249 (2011).
pubmed: 21911026
doi: 10.1016/j.vaccine.2011.08.119
pmcid: 21911026
Williams, T. M. et al. Genome analysis of a highly virulent serotype 1 strain of Streptococcus pneumoniae from West Africa. PLoS ONE 7, e26742 (2012).
pubmed: 23082106
pmcid: 3474768
doi: 10.1371/journal.pone.0026742
Luo, Y. et al. Exploring the genetic architecture of inflammatory bowel disease by whole-genome sequencing identifies association at ADCY7. Nat. Genet. 49, 186–192 (2017).
pubmed: 28067910
pmcid: 5289625
doi: 10.1038/ng.3761
Earle, S. G. et al. Identifying lineage effects when controlling for population structure improves power in bacterial association studies. Nat. Microbiol. 16041, https://doi.org/10.1038/nmicrobiol.2016.41 (2016).
Cremers, A. J. H. et al. The contribution of genetic variation of Streptococcus Pneumoniae to the clinical manifestation of invasive pneumococcal disease. Clin. Infect. Dis. ciy417, https://doi.org/10.1093/cid/ciy417 (2018).
Wall, E. C. et al. High mortality amongst adolescents and adults with bacterial meningitis in Sub-Saharan Africa: an analysis of 715 cases from Malawi. PLoS ONE 8, e69783 (2013).
pubmed: 23894538
pmcid: 3716691
doi: 10.1371/journal.pone.0069783
Howell, K. J. et al. The use of genome wide association methods to investigate pathogenicity, population structure and serovar in Haemophilus parasuis. BMC Genomics 15, 1179 (2014).
pubmed: 25539682
pmcid: 4532294
doi: 10.1186/1471-2164-15-1179
Mwenda, J. M. et al. Pediatric bacterial meningitis surveillance in the World Health Organization African region using the invasive bacterial vaccine-preventable disease surveillance network, 2011-2016. Clin. Infect. Dis. 69, S49-s57 (2019).
pubmed: 31505629
pmcid: 6736400
doi: 10.1093/cid/ciz472
du Plessis, M. et al. Phylogenetic analysis of invasive serotype 1 pneumococcus in South Africa, 1989 to 2013. J. Clin. Microbiol. 54, 1326–1334 (2016).
pubmed: 26962082
pmcid: 4844715
doi: 10.1128/JCM.00055-16
Everett, D. B. et al. Genetic characterisation of Malawian pneumococci prior to the roll-out of the PCV13 vaccine using a high-throughput whole genome sequencing approach. PLoS ONE 7, https://doi.org/10.1371/journal.pone.0044250 (2012).
Page, A. J. et al. Robust high-throughput prokaryote de novo assembly and improvement pipeline for Illumina data. Microb. Genom. 2, https://doi.org/10.1099/mgen.0.000083 (2016).
Epping, L. et al. SeroBA: rapid high-throughput serotyping of Streptococcus pneumoniae from whole genome sequence data. Microb Genom 4, https://doi.org/10.1099/mgen.0.000186 (2018).
Page, A., Taylor, B. & Keane, J. Multilocus sequence typing by blast from de novo assemblies against {PubMLST}. J Open Source Softw. 1, https://doi.org/10.21105/joss.00118 (2016).
Lees, J. A. et al. Fast and flexible bacterial genomic epidemiology with PopPUNK. Genome Res. 29, 304–316 (2019).
pubmed: 30679308
pmcid: 6360808
doi: 10.1101/gr.241455.118
McKenna, A. et al. The genome analysis toolkit: a mapreduce framework for analyzing next-generation DNA sequencing data. Genome Res. 20, 1297–1303 (2010).
pubmed: 2928508
pmcid: 2928508
doi: 10.1101/gr.107524.110
Croucher, N. J. et al. Rapid phylogenetic analysis of large samples of recombinant bacterial whole genome sequences using Gubbins. Nucleic Acids Res. https://doi.org/10.1093/nar/gku1196 (2014).
doi: 10.1093/nar/gku1196
pubmed: 25414349
pmcid: 4330336
Stamatakis, A. RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models. Bioinformatics 22, 2688–2690 (2006).
pubmed: 16928733
doi: 10.1093/bioinformatics/btl446
pmcid: 16928733
Tavaré, S. in American Mathematical Society: Lectures on Mathematics in the Life Sciences Vol. 17, 57–86 (Amer Mathematical Society, 1986).
Felsenstein, J. Confidence limits on phylogenies: An approach using the bootstrap. Evolution 39, 783–791 (1985).
pubmed: 28561359
doi: 10.1111/j.1558-5646.1985.tb00420.x
pmcid: 28561359
Letunic, I. & Bork, P. Interactive tree of life v2: online annotation and display of phylogenetic trees made easy. Nucleic Acids Res. 39, W475–W478 (2011).
pubmed: 21470960
pmcid: 3125724
doi: 10.1093/nar/gkr201
Page, A. J. et al. SNP-sites: rapid efficient extraction of SNPs from multi-FASTA alignments. Microb. Genom. 2, https://doi.org/10.1099/mgen.0.000056 (2016).
Danecek, P. et al. The variant call format and VCFtools. Bioinformatics 27, 2156–2158 (2011).
pubmed: 21653522
pmcid: 3137218
doi: 10.1093/bioinformatics/btr330
Purcell, S. et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am. J. Hum. Genet. 81, 559–575 (2007).
pubmed: 17701901
pmcid: 1950838
doi: 10.1086/519795
Tonkin-Hill, G., Lees, J. A., Bentley, S. D., Frost, S. D. W. & Corander, J. Fast hierarchical Bayesian analysis of population structure. Nucleic Acids Res. 47, 5539–5549 (2019).
pubmed: 31076776
pmcid: 6582336
doi: 10.1093/nar/gkz361
Dixon, P. VEGAN, a package of R functions for community ecology. J. Vegetation Sci. 14, 927–930 (2003).
doi: 10.1111/j.1654-1103.2003.tb02228.x
Altschul, S. et al. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 25, 3389–3402 (1997).
pubmed: 9254694
pmcid: 9254694
doi: 10.1093/nar/25.17.3389
Carver, T. et al. ACT: the Artemis comparison tool. Bioinformatics 21, 3422–3423 (2005).
pubmed: 15976072
doi: 10.1093/bioinformatics/bti553
pmcid: 15976072
Carver, T., Thomson, N., Bleasby, A., Berriman, M. & Parkhill, J. DNAPlotter: circular and linear interactive genome visualization. Bioinformatics 25, 119–120 (2009).
pubmed: 18990721
doi: 10.1093/bioinformatics/btn578
Edgar, R. C. MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 32, 1792–1797 (2004).
pubmed: 390337
pmcid: 390337
doi: 10.1093/nar/gkh340
Seemann, T. Prokka: rapid prokaryotic genome annotation. Bioinformatics 30, 2068–2069 (2014).
pubmed: 24642063
doi: 10.1093/bioinformatics/btu153
Page, A. J. et al. Roary: rapid large-scale prokaryote pan genome analysis. Bioinformatics 31, 3691–3693 (2015).
pubmed: 26198102
pmcid: 4817141
doi: 10.1093/bioinformatics/btv421
Rizk, G., Lavenier, D. & Chikhi, R. DSK: k-mer counting with very low memory usage. Bioinformatics 29, 652–653 (2013).
pubmed: 23325618
doi: 10.1093/bioinformatics/btt020
Holley, G. & Melsted, P. Bifrost–Highly parallel construction and indexing of colored and compacted de Bruijn graphs. bioRxiv, 695338, https://doi.org/10.1101/695338 (2019).
Wickham, H. ggplot2: Elegant Graphics for Data Analysis (use R!). (Springer, 2009).
Biasini, M. et al. SWISS-MODEL: modelling protein tertiary and quaternary structure using evolutionary information. Nucleic Acids Res. 42, W252–W258 (2014).
pubmed: 24782522
pmcid: 4086089
doi: 10.1093/nar/gku340
Kim, D. E., Chivian, D. & Baker, D. Protein structure prediction and analysis using the Robetta server. Nucleic Acids Res. 32, W526–W531 (2004).
pubmed: 15215442
pmcid: 441606
doi: 10.1093/nar/gkh468
The PyMOL Molecular Graphics System, Version 2.0 Schrödinger, LLC.