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      Antibiotic discovery: History, methods and perspectives

      , ,
      International Journal of Antimicrobial Agents
      Elsevier BV

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          Abstract

          Antimicrobial resistance is considered a major public-health issue. Policies recommended by the World Health Organization (WHO) include research on new antibiotics. No new class has been discovered since daptomycin and linezolid in the 1980s, and only optimisation or combination of already known compounds has been recently commercialised. Antibiotics are natural products of soil-living organisms. Actinobacteria and fungi are the source of approximately two-thirds of the antimicrobial agents currently used in human medicine; they were mainly discovered during the golden age of antibiotic discovery. This era declined after the 1970s owing to the difficulty of cultivating fastidious bacterial species under laboratory conditions. Various strategies, such as rational drug design, to date have not led to the discovery of new antimicrobial agents. However, new promising approaches, e.g. genome mining or CRISPR-Cas9, are now being developed. The recent rebirth of culture methods from complex samples has, as a matter of fact, permitted the discovery of teixobactin from a new species isolated from soil. Recently, many biosynthetic gene clusters were identified from human-associated microbiota, especially from the gut and oral cavity. For example, the antimicrobial lugdunin was recently discovered in the oral cavity. The repertoire of human gut microbiota has recently substantially increased, with the discovery of hundreds of new species. Exploration of the repertoire of prokaryotes associated with humans using genome mining or newer culture approaches could be promising strategies for discovering new classes of antibiotics.

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          Author and article information

          Journal
          International Journal of Antimicrobial Agents
          International Journal of Antimicrobial Agents
          Elsevier BV
          09248579
          November 2018
          November 2018
          Article
          10.1016/j.ijantimicag.2018.11.010
          30472287
          c7bed56b-7979-45f7-a465-cb898244c474
          © 2018

          https://www.elsevier.com/tdm/userlicense/1.0/

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