Functional Metagenomic Screening for Antimicrobial Resistance in the Oral Microbiome

Methods Mol Biol. 2021:2327:31-50. doi: 10.1007/978-1-0716-1518-8_3.

Abstract

A large proportion of bacteria, from a multitude of environments, are not yet able to be grown in the laboratory, and therefore microbiological and molecular biological investigations of these bacteria are challenging. A way to circumvent this challenge is to analyze the metagenome, the entire collection of DNA molecules that can be isolated from a particular environment or sample. This collection of DNA molecules can be sequenced and assembled to determine what is present and infer functional potential, or used as a PCR template to detect known target DNA and potentially unknown regions of DNA nearby those targets; however assigning functions to new or conserved hypothetical, functionally cryptic, genes is difficult. Functional metagenomics allows researchers to determine which genes are responsible for selectable phenotypes, such as resistance to antimicrobials and metabolic capabilities, without the prerequisite needs to grow the bacteria containing those genes or to already know which genes are of interest. It is estimated that a third of the resident species of the human oral cavity is not yet cultivable and, together with the ease of sample acquisition, makes this metagenome particularly suited to functional metagenomic studies. Here we describe the methodology related to the collection of saliva samples, extraction of metagenomic DNA, construction of metagenomic libraries, as well as the description of functional assays that have previously led to the identification of new genes conferring antimicrobial resistance.

Keywords: AMR; Antibiotic resistance; Antimicrobial resistance genes; Antiseptic resistance; Functional metagenomics; Functional screening; High-throughput screening; Oral metagenome; Oral microbiome.

MeSH terms

  • Anti-Bacterial Agents / pharmacology
  • Bacteria / drug effects
  • Bacteria / genetics
  • Drug Resistance, Bacterial / drug effects
  • Drug Resistance, Bacterial / genetics
  • Humans
  • Metagenome
  • Metagenomics*
  • Microbiota*

Substances

  • Anti-Bacterial Agents