The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
The diversity of Klebsiella pneumoniae surface polysaccharides
Open accessAbstract
Klebsiella pneumoniae is considered an urgent health concern due to the emergence of multi-drug-resistant strains for which vaccination offers a potential remedy. Vaccines based on surface polysaccharides are highly promising but need to address the high diversity of surface-exposed polysaccharides, synthesized as O-antigens (lipopolysaccharide, LPS) and K-antigens (capsule polysaccharide, CPS), present in K. pneumoniae. We present a comprehensive and clinically relevant study of the diversity of O- and K-antigen biosynthesis gene clusters across a global collection of over 500 K. pneumoniae whole-genome sequences and the seroepidemiology of human isolates from different infection types. Our study defines the genetic diversity of O- and K-antigen biosynthesis cluster sequences across this collection, identifying sequences for known serotypes as well as identifying novel LPS and CPS gene clusters found in circulating contemporary isolates. Serotypes O1, O2 and O3 were most prevalent in our sample set, accounting for approximately 80 % of all infections. In contrast, K serotypes showed an order of magnitude higher diversity and differ among infection types. In addition we investigated a potential association of O or K serotypes with phylogenetic lineage, infection type and the presence of known virulence genes. K1 and K2 serotypes, which are associated with hypervirulent K. pneumoniae, were associated with a higher abundance of virulence genes and more diverse O serotypes compared to other common K serotypes.
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SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing
Bankevich, A., Nurk, S., Antipov, D., Gurevich, A. A., Dvorkin, M., Kulikov, A. S., Lesin, V. M., Nikolenko, S. I., Pham, S., Prjibelski, A. D., et al. (2012) · Journal of Computational Biology · doi:10.1089/cmb.2012.0021 · Cited by 25,987
BLAST+: architecture and applications
Camacho, C., Coulouris, G., Avagyan, V., Ma, N., Papadopoulos, J., Bealer, K., & Madden, T. L. (2009) · BMC Bioinformatics · doi:10.1186/1471-2105-10-421 · Cited by 22,074
Search and clustering orders of magnitude faster than BLAST
Edgar, R. C. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq461 · Cited by 20,826
Prokka: rapid prokaryotic genome annotation
Seemann, T. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu153 · Cited by 18,818
RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models
Stamatakis, A. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl446 · Cited by 15,582
Fast, scalable generation of high‐quality protein multiple sequence alignments using Clustal Omega
Sievers, F., Wilm, A., Dineen, D., Gibson, T. J., Karplus, K., Li, W., Lopez, R., McWilliam, H., Remmert, M., Söding, J., et al. (2011) · Molecular Systems Biology · doi:10.1038/msb.2011.75 · Cited by 15,355
Cd-hit: Accelerated for clustering the next-generation sequencing data
Fu, L., Niu, B., Zhu, Z., Wu, S., & Li, W. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts565 · Cited by 11,175
Velvet: Algorithms for de novo short read assembly using de Bruijn graphs
Zerbino, D. R., & Birney, E. (2008) · Genome Research · doi:10.1101/gr.074492.107 · Cited by 9,491
InterProScan 5: genome-scale protein function classification
Jones, P., Binns, D., Chang, H.-Y., Fraser, M., Li, W., McAnulla, C., McWilliam, H., Maslen, J., Mitchell, A., Nuka, G., et al. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu031 · Cited by 9,301
Roary: rapid large-scale prokaryote pan genome analysis
Page, A. J., Cummins, C. A., Hunt, M., Wong, V. K., Reuter, S., Holden, M. T. G., Fookes, M., Falush, D., Keane, J. A., & Parkhill, J. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv421 · Cited by 5,736
Cited by
Hypervirulent Klebsiella pneumoniae
Russo, T. A., & Marr, C. M. (2019) · Clinical Microbiology Reviews · doi:10.1128/cmr.00001-19 · Cited by 1,311
Population genomics of Klebsiella pneumoniae
Wyres, K. L., Lam, M. M. C., & Holt, K. E. (2020) · Nature Reviews Microbiology · doi:10.1038/s41579-019-0315-1 · Cited by 1,160
Self-citationDiversity and Function of Phage Encoded Depolymerases
Knecht, L. E., Veljkovic, M., & Fieseler, L. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.02949 · Cited by 359
Lam, M. M. C., Wyres, K. L., Duchêne, S., Wick, R. R., Judd, L. M., Gan, Y.-H., Hoh, C.-H., Archuleta, S., Molton, J. S., Kalimuddin, S., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05114-7 · Cited by 348
Self-citationCapsules and their traits shape phage susceptibility and plasmid conjugation efficiency
Haudiquet, M., Le Bris, J., Nucci, A., Bonnin, R. A., Domingo-Calap, P., Rocha, E. P. C., & Rendueles, O. (2024) · Nature Communications · doi:10.1038/s41467-024-46147-5 · Cited by 72
Metadata
- Authors
- Follador, R., Heinz, E., Wyres, K. L., Ellington, M. J., Kowarik, M., Holt, K. E., & Thomson, N. R.
- Venue
- Microbial Genomics
- Publisher
- Microbiology Society
- Published
- 2016-08-25
- Volume
- 2
- Issue
- 8
- Pages
- e000073-e000073
- ISSN
- 2057-5858 (ISSN-L)
- OpenAlex
- W2412176113
- Cited by
- 317
- References
- 67
- FWCI
- 6.95
- Type
- journal article
- Language
- en
- Open access
- gold
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- Follador, R., Heinz, E., Wyres, K. L., Ellington, M. J., Kowarik, M., Holt, K. E., & Thomson, N. R. (2016). The diversity of Klebsiella pneumoniae surface polysaccharides. Microbial Genomics. https://doi.org/10.1099/mgen.0.000073
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