Antibiotic resistance: Time of synthesis in a post-genomic age.
Antibiotic resistance
Genome-scale metabolic models
Genomics
Metagenomics
Natural computing
One health
Whole genome sequencing
Journal
Computational and structural biotechnology journal
ISSN: 2001-0370
Titre abrégé: Comput Struct Biotechnol J
Pays: Netherlands
ID NLM: 101585369
Informations de publication
Date de publication:
2021
2021
Historique:
received:
26
02
2021
revised:
13
05
2021
accepted:
20
05
2021
entrez:
18
6
2021
pubmed:
19
6
2021
medline:
19
6
2021
Statut:
epublish
Résumé
Antibiotic resistance has been highlighted by international organizations, including World Health Organization, World Bank and United Nations, as one of the most relevant global health problems. Classical approaches to study this problem have focused in infected humans, mainly at hospitals. Nevertheless, antibiotic resistance can expand through different ecosystems and geographical allocations, hence constituting a One-Health, Global-Health problem, requiring specific integrative analytic tools. Antibiotic resistance evolution and transmission are multilayer, hierarchically organized processes with several elements (from genes to the whole microbiome) involved. However, their study has been traditionally gene-centric, each element independently studied. The development of robust-economically affordable whole genome sequencing approaches, as well as other -omic techniques as transcriptomics and proteomics, is changing this panorama. These technologies allow the description of a system, either a cell or a microbiome as a whole, overcoming the problems associated with gene-centric approaches. We are currently at the time of combining the information derived from -omic studies to have a more holistic view of the evolution and spread of antibiotic resistance. This synthesis process requires the accurate integration of -omic information into computational models that serve to analyse the causes and the consequences of acquiring AR, fed by curated databases capable of identifying the elements involved in the acquisition of resistance. In this review, we analyse the capacities and drawbacks of the tools that are currently in use for the global analysis of AR, aiming to identify the more useful targets for effective corrective interventions.
Identifiants
pubmed: 34141134
doi: 10.1016/j.csbj.2021.05.034
pii: S2001-0370(21)00215-4
pmc: PMC8181582
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
3110-3124Informations de copyright
© 2021 The Author(s).
Déclaration de conflit d'intérêts
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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