Literature DB >> 11390244

Antibiotic and insecticide resistance modeling--is it time to start talking?

S L Peck1.   

Abstract

Mathematical models have played an important part in understanding both antibiotic and insecticide resistance. However, there has been little, if any, interdisciplinary work between these two areas of active research. One primary reason for this is that bacterial population genetics differ substantially from the population genetics of diploid organisms. This article examines these differences and their effect on resistance. It explores what efforts have gone into modeling resistance mathematically in both arenas, and offers suggestions on how the two groups could work together to gain a more comprehensive understanding of the resistance phenomenon

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Year:  2001        PMID: 11390244     DOI: 10.1016/s0966-842x(01)02042-x

Source DB:  PubMed          Journal:  Trends Microbiol        ISSN: 0966-842X            Impact factor:   17.079


  10 in total

1.  The dominance of the herbicide resistance cost in several Arabidopsis thaliana mutant lines.

Authors:  Fabrice Roux; Jacques Gasquez; Xavier Reboud
Journal:  Genetics       Date:  2004-01       Impact factor: 4.562

2.  Purifying selection and demographic expansion affect sequence diversity of the ligand-binding domain of a glutamate-gated chloride channel gene of Haemonchus placei.

Authors:  Ted H M Mes
Journal:  J Mol Evol       Date:  2004-04       Impact factor: 2.395

3.  Adaptation to the cost of resistance: a model of compensation, recombination, and selection in a haploid organism.

Authors:  Pieter J Wijngaarden; Frank van den Bosch; Michael J Jeger; Rolf F Hoekstra
Journal:  Proc Biol Sci       Date:  2005-01-07       Impact factor: 5.349

Review 4.  Modeling transmission dynamics and control of vector-borne neglected tropical diseases.

Authors:  Paula M Luz; Claudio J Struchiner; Alison P Galvani
Journal:  PLoS Negl Trop Dis       Date:  2010-10-26

5.  Newly rare or newly common: evolutionary feedbacks through changes in population density and relative species abundance, and their management implications.

Authors:  Richard A Lankau; Sharon Y Strauss
Journal:  Evol Appl       Date:  2011-03       Impact factor: 5.183

6.  Resistance is not Futile: It Shapes Insecticide Discovery.

Authors:  Margaret C Hardy
Journal:  Insects       Date:  2014-01-23       Impact factor: 2.769

Review 7.  Five rules for resistance management in the antibiotic apocalypse, a road map for integrated microbial management.

Authors:  Ben Raymond
Journal:  Evol Appl       Date:  2019-05-14       Impact factor: 5.183

8.  Evolutionary epidemiology of drug-resistance in space.

Authors:  Florence Débarre; Thomas Lenormand; Sylvain Gandon
Journal:  PLoS Comput Biol       Date:  2009-04-03       Impact factor: 4.475

9.  Structure of the scientific community modelling the evolution of resistance.

Authors: 
Journal:  PLoS One       Date:  2007-12-05       Impact factor: 3.240

10.  Managing the emergence of pathogen resistance via spatially targeted antimicrobial use.

Authors:  Kenichi W Okamoto; David M Post; David A Vasseur; Paul E Turner
Journal:  Evol Appl       Date:  2018-09-26       Impact factor: 5.183

  10 in total

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