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1.
Mol Syst Biol ; 9: 700, 2013 Oct 29.
Artigo em Inglês | MEDLINE | ID: mdl-24169403

RESUMO

The evolution of resistance to a single antibiotic is frequently accompanied by increased resistance to multiple other antimicrobial agents. In sharp contrast, very little is known about the frequency and mechanisms underlying collateral sensitivity. In this case, genetic adaptation under antibiotic stress yields enhanced sensitivity to other antibiotics. Using large-scale laboratory evolutionary experiments with Escherichia coli, we demonstrate that collateral sensitivity occurs frequently during the evolution of antibiotic resistance. Specifically, populations adapted to aminoglycosides have an especially low fitness in the presence of several other antibiotics. Whole-genome sequencing of laboratory-evolved strains revealed multiple mechanisms underlying aminoglycoside resistance, including a reduction in the proton-motive force (PMF) across the inner membrane. We propose that as a side effect, these mutations diminish the activity of PMF-dependent major efflux pumps (including the AcrAB transporter), leading to hypersensitivity to several other antibiotics. More generally, our work offers an insight into the mechanisms that drive the evolution of negative trade-offs under antibiotic selection.


Assuntos
Antibacterianos/farmacologia , Evolução Biológica , Proteínas de Escherichia coli/genética , Escherichia coli/efeitos dos fármacos , Genoma Bacteriano , Proteínas de Membrana Transportadoras/genética , Aminoglicosídeos/metabolismo , Aminoglicosídeos/farmacologia , Antibacterianos/metabolismo , Transporte Biológico , Membrana Celular/efeitos dos fármacos , Membrana Celular/metabolismo , Resistência Microbiana a Medicamentos/genética , Escherichia coli/genética , Escherichia coli/metabolismo , Proteínas de Escherichia coli/metabolismo , Sequenciamento de Nucleotídeos em Larga Escala , Proteínas de Membrana Transportadoras/metabolismo , Redes e Vias Metabólicas , Testes de Sensibilidade Microbiana , Mutação , Seleção Genética
2.
BMC Bioinformatics ; 6: 126, 2005 May 26.
Artigo em Inglês | MEDLINE | ID: mdl-15918906

RESUMO

BACKGROUND: Global regulatory mechanisms involving chromatin assembly and remodelling in the promoter regions of genes is implicated in eukaryotic transcription control especially for genes subjected to spatial and temporal regulation. The potential to utilise global regulatory mechanisms for controlling gene expression might depend upon the architecture of the chromatin in and around the gene. In-silico analysis can yield important insights into this aspect, facilitating comparison of two or more classes of genes comprising of a large number of genes within each group. RESULTS: In the present study, we carried out a comparative analysis of chromatin characteristics in terms of the scaffold/matrix attachment regions, nucleosome formation potential and the occurrence of repetitive sequences, in the upstream regulatory regions of housekeeping and tissue specific genes. Our data show that putative scaffold/matrix attachment regions are more abundant and nucleosome formation potential is higher in the 5' regions of tissue specific genes as compared to the housekeeping genes. CONCLUSION: The differences in the chromatin features between the two groups of genes indicate the involvement of chromatin organisation in the control of gene expression. The presence of global regulatory mechanisms mediated through chromatin organisation can decrease the burden of invoking gene specific regulators for maintenance of the active/silenced state of gene expression. This could partially explain the lower number of genes estimated in the human genome.


Assuntos
Cromatina/química , Cromatina/genética , Regulação da Expressão Gênica , Núcleo Celular/metabolismo , Cromatina/metabolismo , Montagem e Desmontagem da Cromatina , Biologia Computacional , Bases de Dados Genéticas , Elementos Facilitadores Genéticos , Genoma Humano , Humanos , Modelos Genéticos , Nucleossomos/metabolismo , Sequências Reguladoras de Ácido Nucleico , Sequências Repetitivas de Ácido Nucleico , Software , Distribuição Tecidual , Transcrição Gênica
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