Literature DB >> 33199394

ICEHpsaHPS7, a Novel Multiple Drug Resistance Integrative Conjugative Element in Glaesserella parasuis.

Jiahui An1,2, Genglin Guo1,2,3, Dong Yu1,2, Kexin Zhu1,2, Chao Zhang1,2, Yufeng Li4,2.   

Abstract

Integrative conjugative elements (ICEs) are a kind of novel self-transmissible mobile genetic element. In this study, a novel ICE was identified in Glaesserella (Haemophilus) parasuis We confirmed that it could mediate the migration of antimicrobial resistance genes in G. parasuis and found that there may have been a transferring potential between different serovar strains of G. parasuis These findings demonstrate that the ICE is crucial to the horizontal transfer of antimicrobial resistance among G. parasuis strains.
Copyright © 2021 American Society for Microbiology.

Entities:  

Keywords:  Glaesserella (Haemophilus) parasuis; integrative conjugative element; multidrug resistance; transconjugant; transconjugation

Mesh:

Year:  2021        PMID: 33199394      PMCID: PMC7848986          DOI: 10.1128/AAC.01716-20

Source DB:  PubMed          Journal:  Antimicrob Agents Chemother        ISSN: 0066-4804            Impact factor:   5.191


  24 in total

Review 1.  Integrative and conjugative elements: mosaic mobile genetic elements enabling dynamic lateral gene flow.

Authors:  Rachel A F Wozniak; Matthew K Waldor
Journal:  Nat Rev Microbiol       Date:  2010-07-05       Impact factor: 60.633

2.  ICEPmu1, an integrative conjugative element (ICE) of Pasteurella multocida: analysis of the regions that comprise 12 antimicrobial resistance genes.

Authors:  Geovana Brenner Michael; Kristina Kadlec; Michael T Sweeney; Elzbieta Brzuszkiewicz; Heiko Liesegang; Rolf Daniel; Robert W Murray; Jeffrey L Watts; Stefan Schwarz
Journal:  J Antimicrob Chemother       Date:  2011-10-14       Impact factor: 5.790

Review 3.  Biogenesis, architecture, and function of bacterial type IV secretion systems.

Authors:  Peter J Christie; Krishnamohan Atmakuri; Vidhya Krishnamoorthy; Simon Jakubowski; Eric Cascales
Journal:  Annu Rev Microbiol       Date:  2005       Impact factor: 15.500

4.  MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

Authors:  Sudhir Kumar; Glen Stecher; Michael Li; Christina Knyaz; Koichiro Tamura
Journal:  Mol Biol Evol       Date:  2018-06-01       Impact factor: 16.240

5.  progressiveMauve: multiple genome alignment with gene gain, loss and rearrangement.

Authors:  Aaron E Darling; Bob Mau; Nicole T Perna
Journal:  PLoS One       Date:  2010-06-25       Impact factor: 3.240

6.  Optimalization of the detection of NAD dependent Pasteurellaceae from the respiratory tract of slaughterhouse pigs.

Authors:  K Møller; L V Andersen; G Christensen; M Kilian
Journal:  Vet Microbiol       Date:  1993-09       Impact factor: 3.293

Review 7.  The integron/gene cassette system: an active player in bacterial adaptation.

Authors:  Maurizio Labbate; Rebecca Josephine Case; Hatch W Stokes
Journal:  Methods Mol Biol       Date:  2009

Review 8.  Why and how antibiotics are used in swine production.

Authors:  Gary L Cromwell
Journal:  Anim Biotechnol       Date:  2002-05       Impact factor: 2.282

9.  ICEberg 2.0: an updated database of bacterial integrative and conjugative elements.

Authors:  Meng Liu; Xiaobin Li; Yingzhou Xie; Dexi Bi; Jingyong Sun; Jun Li; Cui Tai; Zixin Deng; Hong-Yu Ou
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

Review 10.  Genomic islands: tools of bacterial horizontal gene transfer and evolution.

Authors:  Mario Juhas; Jan Roelof van der Meer; Muriel Gaillard; Rosalind M Harding; Derek W Hood; Derrick W Crook
Journal:  FEMS Microbiol Rev       Date:  2008-10-29       Impact factor: 16.408

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  1 in total

1.  Baicalin Alleviate Apoptosis via PKC-MAPK Pathway in Porcine Peritoneal Mesothelial Cells Induced by Glaesserella parasuis.

Authors:  Qirong Lu; Lang Zhou; Ziyue Wang; Xiaomin Li; Li Ding; Yinsheng Qiu; Pu Guo; Chun Ye; Shulin Fu; Zhongyuan Wu; Yu Liu
Journal:  Molecules       Date:  2022-08-10       Impact factor: 4.927

  1 in total

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