Hybridization Bait Capture: Target Enrichment Advances Public Health Microbiology
Hybridization bait capture (target enrichment) enables simultaneous characterization of thousands of genetic targets while reducing sequencing depth and cost compared to shotgun metagenomics. This review evaluates 35 bait sets designed for six public health domains including antimicrobial resistance, bacteria, fungi, parasites, vectors, and viruses. The authors provide an in-depth comparison of the three leading AMR bait sets against major resistance databases, offering practical guidance for public health and clinical microbiology laboratories considering this technology.
The original study
Enriching the future of public health microbiology with hybridization bait capture.
- Authors
- Beaudry MS, Bhuiyan MIU, Glenn TC
- Journal
- Clinical microbiology reviews
- Type
- Journal Article, Review
- PMID
- 39545729
Original abstract
SUMMARYPublic health microbiology focuses on microorganisms and infectious agents that impact human health. For years, this field has relied on culture or molecular methods to investigate complex samples of public health importance. However, with the increase in accuracy and decrease in sequencing cost over the last decade, there has been a transition to the use of next-generation sequencing in public health microbiology. Nevertheless, many available sequencing methods (e.g., shotgun metagenomics and amplicon sequencing) do not work well in complex sample types, require deep sequencing, or have inherent biases associated with them. Hybridization bait capture, also known as target enrichment, brings in solutions for such limitations. It is an increasingly popular technique to simultaneously characterize many thousands of genetic elements while reducing the amount of sequencing needed (thereby reducing the sequencing costs). Here, we summarize the concept of hybridization bait capture for public health, reviewing a total of 35 bait sets designed in six key topic areas for public health microbiology [i.e., antimicrobial resistance (AMR), bacteria, fungi, parasites, vectors, and viruses], and compare hybridization bait capture to previously relied upon methods. Furthermore, we provide an in-depth comparison of the three most popular bait sets designed for AMR by evaluating each of them against three major AMR databases: Comprehensive Antibiotic Resistance Database, Microbial Ecology Group Antimicrobial Resistance Database, and Pathogenicity Island Database. Thus, this article provides a review of hybridization bait capture for public health microbiologists.