Literature DB >> 23419278

Understanding, predicting and manipulating the genotypic evolution of antibiotic resistance.

Adam C Palmer1, Roy Kishony.   

Abstract

The evolution of antibiotic resistance can now be rapidly tracked with high-throughput technologies for bacterial genotyping and phenotyping. Combined with new approaches to evolve resistance in the laboratory and to characterize clinically evolved resistant pathogens, these methods are revealing the molecular basis and rate of evolution of antibiotic resistance under treatment regimens of single drugs or drug combinations. In this Progress article, we review these new tools for studying the evolution of antibiotic resistance and discuss how the genomic and evolutionary insights they provide could transform the diagnosis, treatment and predictability of antibiotic resistance in bacterial infections.

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Year:  2013        PMID： 23419278      PMCID： PMC3705945          DOI： 10.1038/nrg3351

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN： 1471-0056            Impact factor:   53.242


  49 in total

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Authors:  Santiago F Elena; Richard E Lenski
Journal:  Nat Rev Genet       Date:  2003-06       Impact factor: 53.242

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Authors:  Christian S Riesenfeld; Robert M Goodman; Jo Handelsman
Journal:  Environ Microbiol       Date:  2004-09       Impact factor: 5.491

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Journal:  Science       Date:  2006-04-07       Impact factor: 47.728

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Authors:  Vanessa M D'Costa; Katherine M McGrann; Donald W Hughes; Gerard D Wright
Journal:  Science       Date:  2006-01-20       Impact factor: 47.728

5.  Empirical fitness landscapes reveal accessible evolutionary paths.

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Journal:  Nature       Date:  2007-01-25       Impact factor: 49.962

6.  An equivalence principle for the incorporation of favorable mutations in asexual populations.

Authors:  Matthew Hegreness; Noam Shoresh; Daniel Hartl; Roy Kishony
Journal:  Science       Date:  2006-03-17       Impact factor: 47.728

7.  Evaluating treatment protocols to prevent antibiotic resistance.

Authors:  S Bonhoeffer; M Lipsitch; B R Levin
Journal:  Proc Natl Acad Sci U S A       Date:  1997-10-28       Impact factor: 11.205

Review 8.  Resistance in gram-negative bacteria: enterobacteriaceae.

Authors:  David L Paterson
Journal:  Am J Med       Date:  2006-06       Impact factor: 4.965

9.  Modeling epidemics of multidrug-resistant M. tuberculosis of heterogeneous fitness.

Authors:  Ted Cohen; Megan Murray
Journal:  Nat Med       Date:  2004-09-19       Impact factor: 53.440

10.  Whole-genome sequencing for analysis of an outbreak of meticillin-resistant Staphylococcus aureus: a descriptive study.

Authors:  Simon R Harris; Edward J P Cartwright; M Estée Török; Matthew T G Holden; Nicholas M Brown; Amanda L Ogilvy-Stuart; Matthew J Ellington; Michael A Quail; Stephen D Bentley; Julian Parkhill; Sharon J Peacock
Journal:  Lancet Infect Dis       Date:  2012-11-14       Impact factor: 25.071
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  98 in total

1.  Genome-wide discovery of epistatic loci affecting antibiotic resistance in Neisseria gonorrhoeae using evolutionary couplings.

Authors:  Benjamin Schubert; Rohan Maddamsetti; Jackson Nyman; Maha R Farhat; Debora S Marks
Journal:  Nat Microbiol       Date:  2018-12-03       Impact factor: 17.745

Review 2.  Methods for the directed evolution of proteins.

Authors:  Michael S Packer; David R Liu
Journal:  Nat Rev Genet       Date:  2015-06-09       Impact factor: 53.242

Review 3.  Evolutionary consequences of drug resistance: shared principles across diverse targets and organisms.

Authors:  Diarmaid Hughes; Dan I Andersson
Journal:  Nat Rev Genet       Date:  2015-07-07       Impact factor: 53.242

Review 4.  Prediction of antibiotic resistance: time for a new preclinical paradigm?

Authors:  Morten O A Sommer; Christian Munck; Rasmus Vendler Toft-Kehler; Dan I Andersson
Journal:  Nat Rev Microbiol       Date:  2017-07-31       Impact factor: 60.633

5.  Testing the Role of Multicopy Plasmids in the Evolution of Antibiotic Resistance.

Authors:  Jose Antonio Escudero; R Craig MacLean; Alvaro San Millan
Journal:  J Vis Exp       Date:  2018-05-02       Impact factor: 1.355

6.  Shared Molecular Targets Confer Resistance over Short and Long Evolutionary Timescales.

Authors:  Jing Li; Ignacio Vázquez-García; Karl Persson; Asier González; Jia-Xing Yue; Benjamin Barré; Michael N Hall; Anthony Long; Jonas Warringer; Ville Mustonen; Gianni Liti
Journal:  Mol Biol Evol       Date:  2019-04-01       Impact factor: 16.240

7.  Interpreting k-mer-based signatures for antibiotic resistance prediction.

Authors:  Magali Jaillard; Mattia Palmieri; Alex van Belkum; Pierre Mahé
Journal:  Gigascience       Date:  2020-10-17       Impact factor: 6.524

8.  Interaction between mutations and regulation of gene expression during development of de novo antibiotic resistance.

Authors:  Nadine Händel; Jasper M Schuurmans; Yanfang Feng; Stanley Brul; Benno H ter Kuile
Journal:  Antimicrob Agents Chemother       Date:  2014-05-19       Impact factor: 5.191

Review 9.  Empirical fitness landscapes and the predictability of evolution.

Authors:  J Arjan G M de Visser; Joachim Krug
Journal:  Nat Rev Genet       Date:  2014-06-10       Impact factor: 53.242

10.  Transcriptome Profiling of Antimicrobial Resistance in Pseudomonas aeruginosa.

Authors:  Ariane Khaledi; Monika Schniederjans; Sarah Pohl; Roman Rainer; Ulrich Bodenhofer; Boyang Xia; Frank Klawonn; Sebastian Bruchmann; Matthias Preusse; Denitsa Eckweiler; Andreas Dötsch; Susanne Häussler
Journal:  Antimicrob Agents Chemother       Date:  2016-07-22       Impact factor: 5.191
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