» Articles » PMID: 33239336

Whole-genome Sequencing As Part of National and International Surveillance Programmes for Antimicrobial Resistance: a Roadmap

Overview
Journal BMJ Glob Health
Specialty Public Health
Date 2020 Nov 26
PMID 33239336
Citations 57
Affiliations
Soon will be listed here.
Abstract

The global spread of antimicrobial resistance (AMR) and lack of novel alternative treatments have been declared a global public health emergency by WHO. The greatest impact of AMR is experienced in resource-poor settings, because of lack of access to alternative antibiotics and because the prevalence of multidrug-resistant bacterial strains may be higher in low-income and middle-income countries (LMICs). Intelligent surveillance of AMR infections is key to informed policy decisions and public health interventions to counter AMR. Molecular surveillance using whole-genome sequencing (WGS) can be a valuable addition to phenotypic surveillance of AMR. WGS provides insights into the genetic basis of resistance mechanisms, as well as pathogen evolution and population dynamics at different spatial and temporal scales. Due to its high cost and complexity, WGS is currently mainly carried out in high-income countries. However, given its potential to inform national and international action plans against AMR, establishing WGS as a surveillance tool in LMICs will be important in order to produce a truly global picture. Here, we describe a roadmap for incorporating WGS into existing AMR surveillance frameworks, including WHO Global Antimicrobial Resistance Surveillance System, informed by our ongoing, practical experiences developing WGS surveillance systems in national reference laboratories in Colombia, India, Nigeria and the Philippines. Challenges and barriers to WGS in LMICs will be discussed together with a roadmap to possible solutions.

Citing Articles

Exploring New Delhi Metallo Beta Lactamases in Klebsiella pneumoniae and Escherichia coli: genotypic vs. phenotypic insights.

Ain N, Elton L, Sadouki Z, McHugh T, Riaz S Ann Clin Microbiol Antimicrob. 2025; 24(1):12.

PMID: 39923059 PMC: 11806598. DOI: 10.1186/s12941-025-00775-x.


Private and well drinking water are reservoirs for antimicrobial resistant bacteria.

Alawi M, Smyth C, Drissner D, Zimmerer A, Leupold D, Muller D NPJ Antimicrob Resist. 2025; 2(1):7.

PMID: 39843970 PMC: 11721118. DOI: 10.1038/s44259-024-00024-9.


Conference report of the 2024 Antimicrobial Resistance Meeting.

Chong C, Pham T, Carey M, Wee B, Taouk M, Favieres J NPJ Antimicrob Resist. 2025; 2(1):43.

PMID: 39843763 PMC: 11721068. DOI: 10.1038/s44259-024-00058-z.


Enhancing clinical microbiology for genomic surveillance of antimicrobial resistance implementation in Africa.

Kajumbula H, Amoako D, Tessema S, Aworh M, Chikuse F, Okeke I Antimicrob Resist Infect Control. 2024; 13(1):135.

PMID: 39533405 PMC: 11559129. DOI: 10.1186/s13756-024-01472-8.


Recovery of clinically relevant multidrug-resistant Klebsiella pneumoniae lineages from wastewater in Kumasi Metropolis, Ghana.

Ekhosuehi A, Ikhimiukor O, Essandoh H, Asiedu N, Aighewi I, Sunmonu G Environ Microbiol Rep. 2024; 16(6):e70018.

PMID: 39516432 PMC: 11549030. DOI: 10.1111/1758-2229.70018.


References
1.
Koser C, Ellington M, Peacock S . Whole-genome sequencing to control antimicrobial resistance. Trends Genet. 2014; 30(9):401-7. PMC: 4156311. DOI: 10.1016/j.tig.2014.07.003. View

2.
Timme R, Rand H, Shumway M, Trees E, Simmons M, Agarwala R . Benchmark datasets for phylogenomic pipeline validation, applications for foodborne pathogen surveillance. PeerJ. 2018; 5:e3893. PMC: 5782805. DOI: 10.7717/peerj.3893. View

3.
Ahmed S, Alp E, Ulu-Kilic A, Doganay M . Establishing molecular microbiology facilities in developing countries. J Infect Public Health. 2015; 8(6):513-25. DOI: 10.1016/j.jiph.2015.04.029. View

4.
Baker S, Thomson N, Weill F, Holt K . Genomic insights into the emergence and spread of antimicrobial-resistant bacterial pathogens. Science. 2018; 360(6390):733-738. PMC: 6510332. DOI: 10.1126/science.aar3777. View

5.
Mason A, Foster D, Bradley P, Golubchik T, Doumith M, Gordon N . Accuracy of Different Bioinformatics Methods in Detecting Antibiotic Resistance and Virulence Factors from Staphylococcus aureus Whole-Genome Sequences. J Clin Microbiol. 2018; 56(9). PMC: 6113501. DOI: 10.1128/JCM.01815-17. View