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Organ agar serves as physiologically relevant alternative for in vivo colonization.
Pearson, Melanie M; Shea, Allyson E; Pahil, Sapna; Smith, Sara N; Forsyth, Valerie S; Mobley, Harry L T.
Afiliação
  • Pearson MM; Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USA.
  • Shea AE; Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USA.
  • Pahil S; Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USA.
  • Smith SN; Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USA.
  • Forsyth VS; Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USA.
  • Mobley HLT; Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USA.
Res Sq ; 2023 May 19.
Article em En | MEDLINE | ID: mdl-37293055
Animal models for host-microbial interactions have proven valuable, yielding physiologically relevant data that may be otherwise difficult to obtain. Unfortunately, such models are lacking or nonexistent for many microbes. Here, we introduce organ agar, a straightforward method to enable the screening of large mutant libraries while avoiding physiological bottlenecks. We demonstrate that growth defects on organ agar were translatable to colonization deficiencies in a murine model. Specifically, we present a urinary tract infection agar model to interrogate an ordered library of Proteus mirabilis transposon mutants, with accurate prediction of bacterial genes critical for host colonization. Thus, we demonstrate the ability of ex vivo organ agar to reproduce in vivo deficiencies. This work provides a readily adoptable technique that is economical and uses substantially fewer animals. We anticipate this method will be useful for a wide variety of microorganisms, both pathogenic and commensal, in a diverse range of model host species.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article