Literature DB >> 32632259

Dysbiosis individualizes the fitness effect of antibiotic resistance in the mammalian gut.

Luís Leónidas Cardoso1, Paulo Durão1, Massimo Amicone1, Isabel Gordo2.   

Abstract

In the absence of antibiotics, it is essential that antibiotic resistance has a fitness cost for microorganisms if suspending antibiotics treatment is to be a useful strategy for reducing antibiotic resistance. However, the cost of antibiotic resistance within the complex ecosystem of the mammalian gut is not well understood. Here, using mice, we show that the same antibiotic resistance mutation can reduce fitness in one host, while being neutral or even increasing fitness in other hosts. Such antagonistic pleiotropy is shaped by the microbiota because resistance in germ-free mice is consistently costly across all hosts, and the host-specific effect on antibiotic resistance is reduced in hosts with similar microbiotas. Using an eco-evolutionary model of competition for resources, we identify a general mechanism that underlies between-host variation and predicts that the dynamics of compensatory evolution of resistant bacteria should be host specific, a prediction that was supported by experimental evolution in vivo. The microbiome of each human is close to unique, and our results suggest that the short-term cost of resistances and their long-term within-host evolution are also highly personalized, a finding that may contribute to the observed variable outcome of withdrawing antibiotics to reduce resistance levels.

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Year:  2020        PMID: 32632259     DOI: 10.1038/s41559-020-1235-1

Source DB:  PubMed          Journal:  Nat Ecol Evol        ISSN: 2397-334X            Impact factor:   19.100


  75 in total

1.  Metagenome-wide analysis of antibiotic resistance genes in a large cohort of human gut microbiota.

Authors:  Yongfei Hu; Xi Yang; Junjie Qin; Na Lu; Gong Cheng; Na Wu; Yuanlong Pan; Jing Li; Liying Zhu; Xin Wang; Zhiqi Meng; Fangqing Zhao; Di Liu; Juncai Ma; Nan Qin; Chunsheng Xiang; Yonghong Xiao; Lanjuan Li; Huanming Yang; Jian Wang; Ruifu Yang; George F Gao; Jun Wang; Baoli Zhu
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

Review 2.  Antibiotic resistance and its cost: is it possible to reverse resistance?

Authors:  Dan I Andersson; Diarmaid Hughes
Journal:  Nat Rev Microbiol       Date:  2010-03-08       Impact factor: 60.633

3.  Compensatory evolution in rifampin-resistant Escherichia coli.

Authors:  M G Reynolds
Journal:  Genetics       Date:  2000-12       Impact factor: 4.562

Review 4.  Evolutionary Mechanisms Shaping the Maintenance of Antibiotic Resistance.

Authors:  Paulo Durão; Roberto Balbontín; Isabel Gordo
Journal:  Trends Microbiol       Date:  2018-02-10       Impact factor: 17.079

5.  The shared antibiotic resistome of soil bacteria and human pathogens.

Authors:  Kevin J Forsberg; Alejandro Reyes; Bin Wang; Elizabeth M Selleck; Morten O A Sommer; Gautam Dantas
Journal:  Science       Date:  2012-08-31       Impact factor: 47.728

6.  Increased survival of antibiotic-resistant Escherichia coli inside macrophages.

Authors:  Migla Miskinyte; Isabel Gordo
Journal:  Antimicrob Agents Chemother       Date:  2012-10-22       Impact factor: 5.191

7.  Selection of resistant bacteria at very low antibiotic concentrations.

Authors:  Erik Gullberg; Sha Cao; Otto G Berg; Carolina Ilbäck; Linus Sandegren; Diarmaid Hughes; Dan I Andersson
Journal:  PLoS Pathog       Date:  2011-07-21       Impact factor: 6.823

8.  Antibiotic resistance is prevalent in an isolated cave microbiome.

Authors:  Kirandeep Bhullar; Nicholas Waglechner; Andrew Pawlowski; Kalinka Koteva; Eric D Banks; Michael D Johnston; Hazel A Barton; Gerard D Wright
Journal:  PLoS One       Date:  2012-04-11       Impact factor: 3.240

9.  Enhanced Survival of Rifampin- and Streptomycin-Resistant Escherichia coli Inside Macrophages.

Authors:  Paulo Durão; Daniela Gülereşi; João Proença; Isabel Gordo
Journal:  Antimicrob Agents Chemother       Date:  2016-06-20       Impact factor: 5.191

10.  Positive epistasis drives the acquisition of multidrug resistance.

Authors:  Sandra Trindade; Ana Sousa; Karina Bivar Xavier; Francisco Dionisio; Miguel Godinho Ferreira; Isabel Gordo
Journal:  PLoS Genet       Date:  2009-07-24       Impact factor: 5.917

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  6 in total

1.  Molecular signatures of resource competition: Clonal interference favors ecological diversification and can lead to incipient speciation.

Authors:  Massimo Amicone; Isabel Gordo
Journal:  Evolution       Date:  2021-08-18       Impact factor: 4.171

2.  DNA Breaks-Mediated Fitness Cost Reveals RNase HI as a New Target for Selectively Eliminating Antibiotic-Resistant Bacteria.

Authors:  Roberto Balbontín; Nelson Frazão; Isabel Gordo
Journal:  Mol Biol Evol       Date:  2021-07-29       Impact factor: 16.240

3.  Gut microbiota response to antibiotics is personalized and depends on baseline microbiota.

Authors:  Armin Rashidi; Maryam Ebadi; Tauseef Ur Rehman; Heba Elhusseini; Harika Nalluri; Thomas Kaiser; Shernan G Holtan; Alexander Khoruts; Daniel J Weisdorf; Christopher Staley
Journal:  Microbiome       Date:  2021-10-27       Impact factor: 14.650

4.  In vitro Relative Fitness, in vivo Intestinal Colonization and Genomic Differences of Escherichia coli of ST131 Carrying bla CTX-M-15.

Authors:  Frederik Boëtius Hertz; Rasmus L Marvig; Niels Frimodt-Møller; Karen Leth Nielsen
Journal:  Front Microbiol       Date:  2022-02-18       Impact factor: 5.640

5.  Probiotics impact the antibiotic resistance gene reservoir along the human GI tract in a person-specific and antibiotic-dependent manner.

Authors:  Emmanuel Montassier; Rafael Valdés-Mas; Eric Batard; Niv Zmora; Mally Dori-Bachash; Jotham Suez; Eran Elinav
Journal:  Nat Microbiol       Date:  2021-07-05       Impact factor: 17.745

6.  Chicken gut microbiome members limit the spread of an antimicrobial resistance plasmid in Escherichia coli.

Authors:  Sarah J N Duxbury; Jesse B Alderliesten; Mark P Zwart; Arjan Stegeman; Egil A J Fischer; J Arjan G M de Visser
Journal:  Proc Biol Sci       Date:  2021-11-03       Impact factor: 5.349

  6 in total

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