National networks of laboratory-based surveillance of antimicrobial resistance (AMR) monitor resistance trends and disseminate these data to AMR stakeholders. Whole-genome sequencing (WGS) can support surveillance by pinpointing resistance mechanisms and uncovering transmission patterns. However, genomic surveillance is rare in low-and middleincome countries. Here, we implement WGS within the established Antimicrobial Resistance Surveillance Program of the Philippines via a binational collaboration. In parallel, we characterize bacterial populations of key bug-drug combinations via a retrospective sequencing survey. By linking the resistance phenotypes to genomic data, we reveal the interplay of genetic lineages (strains), AMR mechanisms, and AMR vehicles underlying the expansion of specific resistance phenotypes that coincide with the growing carbapenem resistance rates observed since 2010. Our results enhance our understanding of the drivers of carbapenem resistance in the Philippines, while also serving as the genetic background to contextualize ongoing local prospective surveillance.

Background Carbapenem-resistant Klebsiella pneumoniae (CRKP) is a threat to public health in India because of its high dissemination, mortality, and limited treatment options. Its genomic variability is reflected in the diversity of sequence types, virulence factors, and antimicrobial resistance (AMR) mechanisms. This study aims to characterize the clonal relationships and genetic mechanisms of resistance and virulence in CRKP isolates in India. Materials and Methods We characterized 344 retrospective K. pneumoniae clinical isolates collected from 8 centers across India collected in 2013–2019. Susceptibility to antibiotics was tested with VITEK 2. Capsular types, multilocus sequence type, virulence genes, AMR determinants, plasmid replicon types, and a single-nucleotide polymorphism phylogeny were inferred from their whole genome sequences. Results Phylogenetic analysis of the 325 Klebsiella isolates that passed quality control revealed 3 groups: K. pneumoniae sensu stricto (n = 307), K. quasipneumoniae (n = 17), and K. variicola (n = 1). Sequencing and capsular diversity analysis of the 307 K. pneumoniae sensu stricto isolates revealed 28 sequence types, 26 K-locus types, and 11 O-locus types, with ST231, KL51, and O1V2 being predominant. blaOXA-48-like and blaNDM-1/5 were present in 73.2% and 24.4% of isolates, respectively. The major plasmid replicon types associated with carbapenase genes were IncF (51.0%) and Col group (35.0%). Conclusion Our study documents for the first time the genetic diversity of K and O antigens circulating in India. The results demonstrate the practical applicability of genomic surveillance and its utility in tracking the population dynamics of CRKP. It alerts us to the urgency for longitudinal surveillance of these transmissible lineages.

Background. Drug-resistant bacterial infections constitute a growing threat to public health globally. National networks of laboratory-based surveillance of antimicrobial resistance (AMR) monitor the emergence and spread of resistance and are central to the dissemination of these data to AMR stakeholders. Whole-genome sequencing (WGS) can support these efforts by pinpointing resistance mechanisms and uncovering transmission patterns. We implemented WGS within the established Antimicrobial Resistance Surveillance Program (ARSP) of the Philippines. We aimed to employ WGS to characterize bacterial populations and dissect resistance phenotypes of key bug-drug combinations, thus establishing a genetic background to contextualize local prospective surveillance.Methods. We sequenced the genomes from eight bacterial pathogens collected between 2013 and 2014 by the ARSP, and conducted phylogenetic analyses, in silico genotyping, genomic predictions of AMR, and characterization of key plasmids carrying carbapenemase genes. Here, we focus on carbapenemase-producing organisms.Findings. ARSP phenotypic data indicated increasing carbapenem resistance for Pseudomonas aeruginosa, Acinetobacter baumannii, Klebsiella pneumoniae and Escherichia coli, with marked expansion of specific resistance phenotypes. By linking resistance phenotypes to genomic data, we revealed the diversity of genetic lineages (strains), AMR mechanisms, and AMR vehicles underlying this expansion. We discovered a previously unidentified plasmid-driven hospital outbreak of carbapenem-resistant K. pneumoniae, uncovered the interplay of carbapenem resistance genes and plasmids in the geographic circulation of international epidemic K. pneumoniae ST147, and found that carbapenem-resistant E. coli ST410 were represented by diverse lineages of global circulation that both conserved international plasmids and acquired plasmids of local circulation.Conclusions. WGS provided an enhanced understanding of the interplay between strains, genes and vehicles driving the dissemination of carbapenem resistance in the Philippines. We generated a blueprint for the integration of WGS and genomic epidemiology into an established national system of laboratory-based surveillance of AMR through international collaboration. Continued prospective sequencing, capacity building and collaboration will strengthen genomic surveillance of AMR in the Philippines and the translation of genomic data into public-health action.

In this Supplement, we detail outputs of the National Institute for Health Research Global Health Research Unit on Genomic Surveillance of Antimicrobial Resistance project, covering practical implementation of whole-genome sequencing across our consortium, which consists of laboratories in Colombia, India, Nigeria, and the Philippines.

Performing whole genome sequencing (WGS) for the surveillance of antimicrobial resistance offers the ability to determine not only the antimicrobials to which rates of resistance are increasing, but also the evolutionary mechanisms and transmission routes responsible for the increase at local, national, and global scales. To derive WGS-based outputs, a series of processes are required, beginning with sample and metadata collection, followed by nucleic acid extraction, library preparation, sequencing, and analysis. Throughout this pathway there are many data-related operations required (informatics) combined with more biologically focused procedures (bioinformatics). For a laboratory aiming to implement pathogen genomics, the informatics and bioinformatics activities can be a barrier to starting on the journey; for a laboratory that has already started, these activities may become overwhelming. Here we describe these data bottlenecks and how they have been addressed in laboratories in India, Colombia, Nigeria, and the Philippines, as part of the National Institute for Health Research Global Health Research Unit on Genomic Surveillance of Antimicrobial Resistance. The approaches taken include the use of reproducible data parsing pipelines and genome sequence analysis workflows, using technologies such as Data-flo, the Nextflow workflow manager, and containerization of software dependencies. By overcoming barriers to WGS implementation in countries where genome sampling for some species may be underrepresented, a body of evidence can be built to determine the concordance of antimicrobial sensitivity testing and genome-derived resistance, and novel high-risk clones and unknown mechanisms of resistance can be discovered.