2.3 How WGS compares with standard approaches

Molecular testing refers to techniques such as PCR (polymerase chain reaction) that detect specific resistance genes or mutations at the genetic level. PCR is a method used to amplify small segments of DNA, allowing the detection of even low levels of a resistance gene in a sample. Unlike phenotypic AST, which tests whether bacteria can grow when exposed to antibiotics, molecular methods look for specific resistance genes in the bacteria’s DNA. This means they can detect resistance even if it’s not currently causing a problem.

Molecular tests are often used to confirm the presence of specific resistance genes; for example, following phenotypic detection of AMR. However they can only detect what they are designed to target, so may miss novel or unexpected resistance mechanisms.

To better appreciate the pros and cons of the three main different approaches to AMR screening, Table 2 shows a comparison between AST, molecular testing and WGS.

Table 2 Comparison between phenotypic, molecular, and WGS screening for AMR.
FeaturePhenotypic tests (AST)Molecular testsWGS analysis
What is measured?Bacterial growth in the presence of antibioticsWhether specific resistance genes are presentAll the genetic information, including all resistance genes
Main methodsDisk diffusion, broth microdilution, E-test, VITEKPulsed-field gel electrophoresis (PFGE), PCR, Quantitative polymerase chain reaction (qPCR)Sequencing machines and bioinformatic software
Main outcomesShows which antibiotics the bacteria are resistant toShows known resistance genesLists all resistance genes, mutations and other information such as plasmid types and virulence genes
Detects actual resistance?YesNo, only predicts based on genes No, only predicts based on genes
Identifies specific resistance genes?NoYes, but only the ones you look forYes, all known genes in the genome
Identifies resistance mutations?NoSometimesYes, all known ones
Detects plasmids?Sometimes, limited to methodsSometimes, limited to methodsYes
Identifies strain typing and epidemiology?Yes, with some laboratory methodsYes, if specific tools are usedYes, very detailed and automated
Identifies serotypes and pathotypes?Yes, via specific laboratory testsYes, via PCRYes
Detects unknown mechanisms?SometimesNoNot without extensive analysis; without it, it only finds known resistance gene/mutations
Detects virulence?Yes, with laboratory testsYesYes
Turnaround time1–3 days1–2 days1–5+ days (depending on sequencing technology)
Infrastructure needed?Microbiology lab: incubator, media, antibiotic disks or strips, and tools for measuring growth (e.g. spectrophotometer or visual reading)Molecular biology lab: PCR machine (thermocycler), gel electrophoresis equipment and reagents for extracting and amplifying DNA; Sanger sequencingSequencing machine and software, bioinformatic tools; requires a DNA extraction set-up, a sequencing machine (e.g. Illumina or Oxford Nanopore) and computers with specialised software for genome analysis; also needs trained staff for both laboratory and data analysis
ScalabilityLow to moderateModerateHigh
Use in surveillanceMostly used in clinical settings; provides baseline resistance trends and prevalence dataUsed in some labs; detects known genes in targeted surveillanceWidely used for AMR and outbreak surveillance; offers high-resolution data for source-tracking and resistance mechanisms

Activity 3: Reflecting on your experience

Timing: Allow 5 minutes

Use the space below to spend a few minutes noting which approaches and tests shown in Table 2 you are familiar with and are used in your area; these might be in local hospitals or other regional surveillance centres.

How many of these involve molecular-based tests? You will see later why this can be an important factor when considering the introduction of WGS approaches to surveillance.

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Discussion

The approaches and tests that you have noted will depend upon your setting and context. If you’re not sure what types of tests are used in your area, you might like to discuss this with colleagues.

2.2 How can WGS surveillance supplement phenotypic surveillance?

2.4 Linking data to action