Whole genome-based characterisation of antimicrobial resistance and genetic diversity in Campylobacter jejuni and Campylobacter coli from ruminants.

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    • Source:
      Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
    • Publication Information:
      Original Publication: London : Nature Publishing Group, copyright 2011-
    • Subject Terms:
    • Abstract:
      Campylobacter, a leading cause of gastroenteritis in humans, asymptomatically colonises the intestinal tract of a wide range of animals.Although antimicrobial treatment is restricted to severe cases, the increase of antimicrobial resistance (AMR) is a concern. Considering the significant contribution of ruminants as reservoirs of resistant Campylobacter, Illumina whole-genome sequencing was used to characterise the mechanisms of AMR in Campylobacter jejuni and Campylobacter coli recovered from beef cattle, dairy cattle, and sheep in northern Spain. Genome analysis showed extensive genetic diversity that clearly separated both species. Resistance genotypes were identified by screening assembled sequences with BLASTn and ABRicate, and additional sequence alignments were performed to search for frameshift mutations and gene modifications. A high correlation was observed between phenotypic resistance to a given antimicrobial and the presence of the corresponding known resistance genes. Detailed sequence analysis allowed us to detect the recently described mosaic tet(O/M/O) gene in one C. coli, describe possible new alleles of bla OXA-61 -like genes, and decipher the genetic context of aminoglycoside resistance genes, as well as the plasmid/chromosomal location of the different AMR genes and their implication for resistance spread. Updated resistance gene databases and detailed analysis of the matched open reading frames are needed to avoid errors when using WGS-based analysis pipelines for AMR detection in the absence of phenotypic data.
    • References:
      Antimicrob Agents Chemother. 2014;58(1):212-20. (PMID: 24145532)
      PLoS One. 2013 May 29;8(5):e64504. (PMID: 23734204)
      Bioinformatics. 2014 Aug 1;30(15):2114-20. (PMID: 24695404)
      Nucleic Acids Res. 2016 Jan 4;44(D1):D7-19. (PMID: 26615191)
      J Appl Microbiol. 2007 Jun;102(6):1570-7. (PMID: 17578422)
      Biofactors. 2000;11(1-2):77-8. (PMID: 10705967)
      BMC Genomics. 2008 Feb 08;9:75. (PMID: 18261238)
      Clin Infect Dis. 2009 Apr 15;48(8):1072-8. (PMID: 19275496)
      J Food Prot. 2010 May;73(5):825-31. (PMID: 20501032)
      Bioinformatics. 2017 Jan 1;33(1):128-129. (PMID: 27605102)
      Nucleic Acids Res. 2005 Jun 10;33(10):3390-400. (PMID: 15951512)
      Antimicrob Agents Chemother. 2013 Jul;57(7):3348-57. (PMID: 23650175)
      Mol Biol Evol. 2018 Jun 1;35(6):1547-1549. (PMID: 29722887)
      Nucleic Acids Res. 2014 Jan;42(Database issue):D206-14. (PMID: 24293654)
      Future Microbiol. 2009 Mar;4(2):189-200. (PMID: 19257846)
      BMC Bioinformatics. 2010 Dec 10;11:595. (PMID: 21143983)
      J Antimicrob Chemother. 2014 May;69(5):1215-23. (PMID: 24408987)
      Sci Rep. 2015 Feb 10;5:8365. (PMID: 25666585)
      J Clin Microbiol. 2018 Aug 27;56(9):. (PMID: 29976591)
      Emerg Infect Dis. 2019 Jul;25(7):1320-1329. (PMID: 31211671)
      Bioinformatics. 2015 Nov 15;31(22):3691-3. (PMID: 26198102)
      Pathogens. 2019 Jul 08;8(3):. (PMID: 31288484)
      Nucleic Acids Res. 2017 Jan 4;45(D1):D574-D580. (PMID: 27899569)
      Nucleic Acids Res. 2018 Apr 6;46(6):e35. (PMID: 29346586)
      J Infect. 2005 Jan;50(1):12-21. (PMID: 15603835)
      Microb Genom. 2021 Nov;7(11):. (PMID: 34846288)
      J Antimicrob Chemother. 2012 Nov;67(11):2640-4. (PMID: 22782487)
      Appl Environ Microbiol. 2015 Oct 30;82(2):459-66. (PMID: 26519386)
      Front Microbiol. 2018 Sep 12;9:2167. (PMID: 30258424)
      J Antimicrob Chemother. 2017 Oct 1;72(10):2764-2768. (PMID: 29091202)
      Biomed Res Int. 2013;2013:340605. (PMID: 23865047)
      PLoS One. 2015 Jul 01;10(7):e0131534. (PMID: 26132196)
      J Appl Microbiol. 2007 Oct;103(4):977-84. (PMID: 17897201)
      J Bacteriol. 2012 Aug;194(15):3814-23. (PMID: 22609917)
      BMC Genomics. 2011 Aug 08;12:402. (PMID: 21824423)
      Euro Surveill. 2019 Aug;24(31):. (PMID: 31387670)
      Int J Microbiol. 2009;2009:456573. (PMID: 20224816)
      EFSA J. 2019 Dec 11;17(12):e05926. (PMID: 32626211)
      Appl Environ Microbiol. 2017 May 31;83(12):. (PMID: 28411226)
      Drug Resist Updat. 2010 Dec;13(6):151-71. (PMID: 20833577)
      Microorganisms. 2020 Oct 31;8(11):. (PMID: 33142824)
      J Comput Biol. 2012 May;19(5):455-77. (PMID: 22506599)
      EFSA J. 2020 Mar 03;18(3):e06007. (PMID: 32874244)
      Bioinformatics. 2013 Apr 15;29(8):1072-5. (PMID: 23422339)
      J Comput Biol. 2000 Feb-Apr;7(1-2):203-14. (PMID: 10890397)
      Antimicrob Agents Chemother. 2012 Oct;56(10):5332-9. (PMID: 22869568)
      Eur J Clin Microbiol Infect Dis. 2021 Apr;40(4):673-682. (PMID: 32974772)
      Microb Drug Resist. 2010 Jun;16(2):105-10. (PMID: 20370506)
      J Antimicrob Chemother. 2016 Dec;71(12):3333-3339. (PMID: 27494928)
      Bioinformatics. 2011 Mar 15;27(6):863-4. (PMID: 21278185)
      Clin Microbiol Rev. 2015 Jul;28(3):687-720. (PMID: 26062576)
      BMC Bioinformatics. 2018 Aug 29;19(1):307. (PMID: 30157759)
      J Antimicrob Chemother. 2016 Dec;71(12):3623-3624. (PMID: 27432598)
      Bioinformatics. 2014 Jul 15;30(14):2068-9. (PMID: 24642063)
    • Publication Date:
      Date Created: 20210427 Date Completed: 20211110 Latest Revision: 20240401
    • Publication Date:
      20240401
    • Accession Number:
      PMC8076188
    • Accession Number:
      10.1038/s41598-021-88318-0
    • Accession Number:
      33903652